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Natural Gamma-Ray Log-Derived Heat Production Rates Of Strata And Lithospheric Thermal Structure In The Central Depression, Yinggehai Basin, Zhang Jiahao, Song Rongcai, Zheng Feng, Zhang Yan, Tang Xin, Li Bo, Dong Shuyi

Coal Geology & Exploration

Objective Understanding the lithospheric thermal structure is significant for exploring the dynamics of a basin's thermal evolution, as well as for the assessment, exploitation, and utilization of geothermal resources in a basin. However, the limited data on heat production in the Yinggehai Basin has constrained research into the lithospheric thermal structure of the basin. Methods Using natural gamma-ray (NGR) logs from 23 wells in the Yinggehai Basin, this study calculated the heat production rates of strata in the central depression using the fitted gamma-ray value (GR) - radiogenic heat production rate (A) empirical formula. Based on the ocean …

Lindquist '26 Contributes To Quantum Research At Argonne National Laboratory, Julia Perez

News and Events (Discontinued Series)

No abstract provided.

Table Of Contents, The Editors

Coal Geology & Exploration

No abstract provided.

An Improved Conditional Integrator Sliding Mode Controller Based On Swarm Intelligence For A Magnetic Levitation System, Abdelkader Kerraci, Mohamed Fayçal Khelfi, Zoubir Ahmed-Foitih

Turkish Journal of Electrical Engineering and Computer Sciences

This paper proposes an enhanced Conditional Integrator Sliding Mode Controller using Particle Swarm Optimization (CISMCPSO) for a magnetic levitation system (MLS). The main advantage of this controller is its robustness to uncertainties and disturbances, which also avoids chattering and ensures zero static steady-state error. The main idea of CISMCPSO is to activate its integral action only when the sliding surface reaches the boundary layer while it is reduced to zero or close to zero elsewhere, which avoids destroying the transient response caused by the conventional integral sliding-mode controller. A particle swarm optimization algorithm schedules the conditional integral term parameter of …

Uniform 3d Scattering Point Model For Simulating The Dynamic Radar Echo From Wind Farm, Bo Tang, Zhendong Zhu, Zhiyu Shang, Huanghai Xie, Feng Wang, Jiaxu Chen

Turkish Journal of Electrical Engineering and Computer Sciences

The calculation scale of simulating wind farm dynamic radar echo is gradually growing with the increasing scale of wind farms, which can hardly meet the requirements of real-time radar echo simulation. Considering that the method of surface element division can greatly influence the result of simulation, uniform surface element division is applied to accelerate the traditional simulation algorithm based on the refined 3D scattering point model and enhance the main characteristics of the radar echo. The solution time of dynamic radar echoes from 1-8 wind turbines is calculated to test the average speed that the uniform 3D scattering point model …

Developing Linguistic Patterns To Mitigate Inherent Human Bias In Offensive Language Detection, Toygar Tanyel, Besher Alkurdi, Serkan Ayvaz

Turkish Journal of Electrical Engineering and Computer Sciences

With the proliferation of social media, there has been a sharp increase in offensive content, particularly targeting vulnerable groups, exacerbating social problems such as hatred, racism, and sexism. Detecting offensive language use is crucial to prevent offensive language from being widely shared on social media. However, the accurate detection of irony, implication, and various forms of hate speech on social media remains a challenge. Natural language-based deep learning models require extensive training with large, comprehensive, and labeled datasets. Unfortunately, manually creating such datasets is both costly and error-prone. Additionally, the presence of human-bias in offensive language datasets is a major …

A Cascade Genetic Algorithm Based Adaptive Backstepping Impedance Control For Upper Limb Rehabilitation Robot, Mawloud Aichaoui, Ameur Ikhlef

Turkish Journal of Electrical Engineering and Computer Sciences

This paper proposes a novel cascade impedance control architecture designed for the upper limb exoskeleton rehabilitation robot. The proposed architecture comprises two parts: Firstly, the impedance reference trajectory is shaped from the desired trajectory utilizing the desired impedance model and feedback contact torques. The second part of the proposed controller is an adaptive backstepping control, responsible for tracking the generated impedance reference trajectory. Notably, the proposed adaptive backstepping impedance controller is non-model-based control approach, eliminating the need for the robot's model. Furthermore, a genetic algorithm is employed as an offline tuning method for the inner position loop controller, namely the …

A New Dxccdita Based Meminductor Emulator And Its Application In Chaotic Oscillator, Bhawna Aggarwal, Shireesh Kumar Rai, Harsh Jain

Turkish Journal of Electrical Engineering and Computer Sciences

This work introduces a new dual-X current conveyor differential input transconductance amplifier (DXCCDITA) based meminductor emulator, alongside its application in chaotic oscillator has also been presented. To realize the designed meminductor emulator, one DXCCDITA, two resistors, and two capacitors are employed. Pinched hysteresis loops are achieved across a wide frequency range spanning from 100 Hz to 1.5 MHz, encompassing both decremental and incremental topologies. Additionally, the proposed circuit offers the flexibility to switch between incremental and decremental configurations using a simple switch. Through examination of non-volatility and transient responses, the efficiency of the presented emulator is evidently demonstrated. To further …

A Surface-Based Approach For 3d Approximate Convex Decomposition, Onat Zeybek Kuşkonmaz, Yusuf Sahi̇lli̇oğlu

Turkish Journal of Electrical Engineering and Computer Sciences

Approximate convex decomposition enables the simplification of complex shapes into manageable convex components. In this work, we propose a novel surface-based method to achieve this which leads to efficient computation times and sufficiently convex results while avoiding over-approximating the input model. We start approximation using mesh simplification. Then we iterate over the surface polygons of the mesh and divide them into convex groups. We utilize planar and angular equations to determine suitable neighboring polygons for inclusion in forming convex groups. To ensure our method outputs a sufficient result for a wide range of input shapes, we run multiple iterations of …

Lgformer: Informer-Based Personalized Modeling For Blood Glucose Prediction, Xue Yuewei, Shaopeng Guan, Jia Wanhai

Turkish Journal of Electrical Engineering and Computer Sciences

Effective diabetes management relies on precise prediction of blood glucose levels to minimize complications. However, the patterns and fluctuations in blood glucose vary significantly among patients, posing a challenge for existing prediction methods. Many current approaches fail to accommodate these individual differences, leading to less reliable predictions. In response to this challenge, we present LGformer, a novel prediction model based on the Informer architecture, designed to enhance both flexibility and accuracy. LGformer improves upon Informer by integrating LSTM and GRU layers into its probSparse Self-attention mechanism, allowing for personalized processing of blood glucose data tailored to each patient's unique profile. …

A Python Pipeline For Rapid Inversion Of Gravity Data Aimed At Early Career Researchers: Application To The Lost River Fault, Idaho, Bradford C. Mack

USF Tampa Graduate Theses and Dissertations

Gravity data and modeling can be used to create a 3D view of basin and fault geometries, a valuable tool for seismic hazard assessment. Additionally, access to a high-speed, easy-to-use modeling workflow will enable more researchers to supplement their work with a new method and allow students to be exposed to modeling earlier in their academic careers. The primary goals of this work are to create a widely usable 3D gravity and basin model, to create an introduction to modeling teaching module for undergraduate geology students, and to apply the model to the northernmost two segments of the Lost River …

Multiphase Electrochemical Li-Ion Intercalation In Iron Selenite: Evidence Of Fe³⁺/⁴⁺ Redox And Single-Crystal-To-Single-Crystal Topochemical Transformation During Chemical Lithiation, Sutapa Bhattacharya, Aleksandr V. Chernatynskiy, Amitava Choudhury

Physics Faculty Research & Creative Works

An iron selenite-based cathode compound, LiFe(SeO₃)₂, is synthesized via a simple hydrothermal route. The bulk purity of the compound is confirmed by powder X-ray diffraction (PXRD), Mössbauer spectroscopy, and Fourier transform infrared spectroscopy (FTIR). The crystal structure determined from the single-crystal X-ray diffraction and Rietveld refinement of synchrotron PXRD data perfectly matches the previously reported structure in the I4̅2d space group. The crystal structure is built up of edge-sharing of FeO₆ octahedra and LiO₄ tetrahedra interconnected by SeO₃ trigonal pyramidal units, forming a three-dimensional open framework network with channels through all three axes. …

3d Reconstruction And Comparative Anatomical And Kinematic Analyses Of The Foot Of Archaeopteryx, Alexander M. Kirk

USF Tampa Graduate Theses and Dissertations

Research on the evolution of dinosaur flight has long been dominated by the wing, often overlooking the foot. The foot of Archaeopteryx, the “icon of evolution”, thus offers a unique opportunity to investigate this critical evolutionary stage. Chapter I of this dissertation integrates advanced 3D reconstruction techniques, combining photogrammetry with X-ray data, to create a high-resolution model of the foot of the Thermopolis specimen of Archaeopteryx for visualization and analysis. Driven by 3D coordinate axes derived from joint surface topology, the analyses in Chapter II reveal terrestrial adaptations -- such as a medially oriented hallux (81°), serially shorter phalanges on …

James K. Moyle Petitioner/ Appellant V. Brianna Moyle Respondent/ Appellee : Reply Brief, Utah Court Of Appeals

Utah Court of Appeals Briefs (2020 –)

Appeal from ruling of the Honorable Judge Jennifer Mabey of the Fourth Judicial District in and for Wasatch County as to a Petition for Divorce under U.C.A. § 30-3-1, et. seq

Brody N. Miles, Grant Dickinson, Attorney for James Moyle Appellant

Sarah Jenkins Dewey, Bart Johnsen, Hannah Ector, Attorneys for Brianna Moyle Appellee

James Moyle V. Brianna Moyle : Reply Brief, Utah Court Of Appeals

Utah Court of Appeals Briefs (2020 –)

Appellant’s Reply Brief and Response to Appellee’s Cross-Appeal Appeal from ruling of the Honorable Judge Jennifer Mabey of the Fourth Judicial District in and for Wasatch County as to a Petition for Divorce under U.C.A. § 30-3-1, et. seq.

Brody N. Miles Grant Dickinson Moody Brown Law Attorney for James Moyle

Sarah Jenkins Dewey Bart Johnsen Hannah Ector Parsons Behle & Latimer Attorneys for Brianna Moyle

State Of The Art And Future Directions In Groundwater Contamination Risk Assessment, Xu Beiyi, Wang Ce, Zhou Guangyang, Zhou Pengpeng

Coal Geology & Exploration

Background Rapid global socio-economic development has intensified the resource crisis and contamination of groundwater, rendering groundwater contamination risk assessments critical to contamination prevention, control, and remediation. Advances Through a systematic summary of domestic and international studies, this study reviews the development of theories on groundwater contamination risk assessments and the formation of the theoretical system. Based on the source-pathway-receptor assessment system, this study presents a summary of the research methods for the assessments of contamination source load risks, groundwater vulnerability, and contamination hazards. Groundwater contamination risk assessments have evolved from unidimensional qualitative assessments to quantitative process models highlighting contamination mechanisms …

In-Situ Superconductor Temperature Sensor For Cryogenic Integrated Circuits, Emre Küçükyilmaz, Nazi̇f Orhun Tekci̇, Sasan Razmkhah, Ali̇ Bozbey

Turkish Journal of Electrical Engineering and Computer Sciences

Cryogenic circuits, such as those based on single flux quantum (SFQ) logic, function at extremely low temperatures. Therefore, the designs target the utilization of liquid helium (LHe) temperatures, maintaining them at 4.2 K. These specialized circuits can be subjected to measurement either within liquid helium (LHe) baths or enclosed within closed-cycle cryocoolers.However, when utilizing LHe in cryocooler systems, inherent weak thermal contact can lead to temperature gradients between the circuit chip and the cold head, where conventional temperature sensors are typically placed. To address this challenge, this study introduces an innovative on-chip temperature sensing approach that capitalizes on the temperature …

Fault Diagnosis Of Photovoltaic Array Based On Gated Residual Network With Multi-Head Self Attention Mechanism, Ahmed Mesai Belgacem, Mounir Hadef, Abdesslem Djerdir

Turkish Journal of Electrical Engineering and Computer Sciences

Effective fault identification and diagnosis in photovoltaic (PV) arrays is vital for improving the effectiveness, and safety of solar energy systems. While various artificial intelligence methods have successfully established fault detection and diagnosis models, introducing inefficiencies and potentially overlooking useful features. Moreover, these methods often employ neural networks with limited performance capabilities. In response to these challenges, this paper introduces an innovative intelligent model that integrates a combination of a gated residual neural network (GRN) and a multi-head self-attention mechanism (MHSA). To evaluate the proposed fault diagnosis model, the small-scale PV grid system is implemented, and fault simulation experiments, including …

Techniques For Coal Resource Conservation During The Ecological Restoration Of Alpine Mining Areas On Plateaus, Li Congcong, Wang Tong, Zhao Xin, Wang Weichao, Liang Zhenxin

Coal Geology & Exploration

Objective The prolonged coal mining of the Muli coalfield, located in an alpine region in the eastern Qinghai-Tibet Plateau, has posed many ecological challenges, which especially include the presence of considerable quantities of disturbed coal resources in open-pit mining areas. This study aims to achieve scientific and effective coal resource conservation during the ecological restoration of coal mines. Methods Focusing on the Jvhugeng mining area of the Muli coalfield, this study investigated the destruction characteristics of the coal resources in the open-pit mining area. From the perspective of geological mechanisms behind the destruction, this study artificially constructed the roofs of …

Underground Coal Gasification In The Aidinghu Mining Area, Turpan-Hami Coalfield: Geological Evaluation System And The Selection Of The Optimal Coal Seam, Zeng Zhiwei, Lai Peng, Tian Jijun, Yang Shuguang, Hu Zhenpeng, Wang Bo, Yu Yu, Wang Haichao, Liu Yunxuan, Yuan Yixuan

Coal Geology & Exploration

Objective Underground coal gasification (UCG) is an innovation in traditional coal mining technology. The prerequisites for successful UCG include developing a systematic geological evaluation system and scientifically selecting the optimal coal seam.Methods Using mathematical analysis methods such as analytic hierarchy process (AHP), coefficient of variation method, and technique for order preference by similarity to ideal solution (TOPSIS), this study systematically analyzed the coal quality, coal seam occurrence, hydrology, surrounding rocks, geological structures, hazardous elements, and geological exploration degree of coal reservoirs in the Aidinghu mining area, Turpan-Hami coalfield. Accordingly, this study deeply explored the feasibility of UCG in the …

Detrital Zircon Ages Of The Permian Coal-Bearing Rock Series In The Zhongtiao Mountain Area And Their Sedimentological Constraints On Regional Tectonic Activity, Wu Fang, Li Zhenhong, Jing Xianghui, Kou Linlin, Du Zhuang, Liu Bohua

Coal Geology & Exploration

Objective The changes in the material composition of detrital sediments in a sedimentary basin are intimately associated with the uplift and denudation processes of provenance areas. The southern margin of the North China Craton, a primary tectonic unit of the continental area of China, preserves relatively complete geological records of the Permian. The Zhongtiao Mountain area is located in the core of the Fen-Wei graben system on the southern margin of the North China Craton, with the southern margin of the North China Craton and the adjacent Qinling orogenic belt potentially serving as its provenance areas. Therefore, the Zhongtiao Mountain …

A Smogn-Based Mpso-Bp Model To Predict The Height Of A Hydraulically Conductive Fracture Zone, Liu Qi, Liang Zhihao, Zi Jianxiao

Coal Geology & Exploration

Objective The height of a hydraulically conductive fracture zone, a significant factor influencing roof water inrushes and groundwater resource loss, is identified as a research focus of the prevention and control of mine water disasters. Methods To accurately predict the heights of hydraulically conductive fracture zones in coal seam roofs, five parameters were selected as the primary factors influencing hydraulically conductive fracture zones the mining depth: mining height, coal seam inclination, the length of the mining face along its dip direction, proportional coefficient of hard rocks (i.e., the ratio of the cumulative thickness of hard rocks within the statistical height …

A Nanoindentation-Based Study On The Micromechanical Properties Of Red Shales, Zhou Lang, Ma Zhenqian, Huang Qingrong, Shuai Yunlin, Zhang Jimin, Liu Rongke

Coal Geology & Exploration

Objective Investigating the micromechanical properties of minerals using nanoindentation tests is of great significance for revealing the microscale mechanisms behind mineral failure. Methods Focusing on the primary minerals in the surrounding rocks of red shales in a phosphate deposit, this study conducted qualitative and semi-quantitative analyses of these minerals, including their spatial distributions, using X-ray diffraction (XRD), scanning electron microscopy (SEM), energy dispersive spectrometry (EDS), and targeted nanoindentation tests, determining the micromechanical properties of the minerals. This study developed a discrete numerical calculation model for the microscopic nanoindentation of minerals based on Voronoi tessellation and compared the simulation results with …

Fine And Intelligent Interpretation Of Key Geological Structures In The Metal Metallogenesis Of Coal Measures, Yang Yi, Zhao Jingtao, Li Wenyu, Shi Suzhen

Coal Geology & Exploration

Objective In order to identify the key geological structures in the metallogenic process of coal measures metal deposits, the Linxing block of Ordos Basin was taken as the research object. Based on the previous research results, geological data of the block, seismic and logging data, a geological model including tectonic volcanic activities and other events was constructed to analyze the key geological factors of deposit formation. Methods Firstly, based on the post-stack seismic data, the diffraction wave separation and imaging are realized by using the plane wave destruction filter technology, and the small-scale key geological information is extracted. Secondly, the …

Acoustic Velocity Inversion Based On Convolutional Autoencoder Embedded With Fourier Neural Operator, Li Chen, Zhao Haixia, Bai Zhaowei, Hao Yufan

Coal Geology & Exploration

Background Seismic wave inversion serves as an effective method for obtaining the characteristics of structures, lithology, and physical properties of subsurface media using the arrival times, amplitude, and waveforms of seismic waves. Seismic inversion methods based on wave equations iteratively update model parameters using forward modeling. This generally involves extensive numerical simulations and optimization calculations, requiring large quantities of computational resources and time. In recent years, neural operators for deep learning, represented by the Fourier neural operator (FNO), have gained widespread attention. However, the original FNO structure fails to effectively learn the wavefield information with sharp changes in geological structures …

Intelligent Noise Suppression For 3d Post-Stack Seismic Data Of The Junggar Basin, Mao Haibo, Zhou Xin, Li Xiaofeng, Pan Long, Lin Juan, Liu Dawei, Wang Xiaokai

Coal Geology & Exploration

Objective The Junggar Basin is recognized as a significant petroliferous basin in China, and its hydrocarbon exploration targets have shifted to deeper strata. However, the 3D seismic data of this basin suffer from low signal-to-noise ratios (SNRs) and high data volumes due to the basin's complex near-surface conditions, the great depths of exploration targets, and seismic data acquisition methods characterized by wide azimuths, broadbands, and high density. This complicates the identification of hydrocarbon exploration targets, rendering the improvement in the quality of the 3D seismic data by noise suppression vitally important. Methods The progress in the deep learning theory and …

Transient Electromagnetic Numerical Simulation Based On The Transformer Neural Network, Wang Yunhong

Coal Geology & Exploration

Objective The deep learning-based transient electromagnetic (TEM) forward and inverse modeling methods are data-driven, requiring considerable numerical simulation results as supervisory data to train and assess neural networks. The conventional finite-difference time-domain (FDTD) method for TEM numerical simulation necessitates an iterative solution of time-domain Maxwell's equations. Therefore, this method is time-consuming and computationally intensive, failing to meet the data demand of deep learning-based TEM inversion. Methods This study introduced deep learning for TEM numerical simulation. Based on the transformer neural network architecture, a neural network for deep learning-based TEM numerical simulation was designed using an encoder-decoder structure. This neural network …

Surfaced-Related Multiple Attenuation Using The Cnn Method In The Nmo Domain, Huang Zhufu, Liu Jianfeng, Fang Wenqian, Fu Lihua

Coal Geology & Exploration

Objective The presence of surface-related multiples results in a lower accuracy in seismic data interpretations, and the effective multiple attenuation is a key step in seismic data processing. Multiples are coherent noise signals with similar characteristics to effective signals. It is difficult impossible to distinguish multiple signals from full-wave field data using a traditional convolutional neural network (CNN). Additionally, since the surface-related multiples vary significantly with surveyed areas, the CNN method will face more severe challenges when being transferred to other networks. Methods This study developed a CNN method based on the normal moveout correction (NMO) domain by introducing physical …

Research Progress On Variation Pattern And Monitoring Control Technology Of Negative Pressure For Gas Drainage In Directional Long Borehole, Li Quanxin, Cheng Zhuoer, Fang Jun, Mou Quanbin, Liu Fei, Cong Lin

Coal Geology & Exploration

Significance Near-horizontal directional long borehole is an important technical approach and effective means for preventing and controlling the gas disasters of coal mine. Negative pressure is an important factor affecting the gas drainage effect of directional long borehole. Advances Herein, the research progress on gas drainage through near-horizontal directional long borehole was systematically summarized from three aspects: the attenuation mechanism and distribution law of negative pressure in the borehole, gas drainage parameter monitoring technology, and intelligent control system for gas drainage. Regarding the attenuation mechanism and distribution law of negative pressure in the borehole, the basic theoretical research results concerning …

An Intelligent Identifying-While-Drilling Method For Geological Features Of Roof Strata In Coal Roadways Based On A 1dcnn-Bilstm-Cbam Model, Lei Zhiyong, Wang Jiawen, Fan Dong, Lu Feifei, Chen Weiming

Coal Geology & Exploration

Objective Most roof accidents in coal roadways occur in potential caving zones such as primary fissure-bearing zones and rock fracture zones. A significant approach to preventing roof accidents is to understand the geological features of roof strata in an accurate and timely manner and optimize support schemes and parameters of roofs. However, current methods for identifying the geological features of roof strata in roadways suffer from issues such as slow identification speeds, low efficiency, and high costs, thus failing to meet the demand for safe, efficient, and intelligent coal mining. Methods This study proposed a neural network model based on …