Engineering Commons^™

Improved Nsga-Ii For Dual-Resource Flexible Job Shop Scheduling Considering Worker Load, Guohui Zhang, Yuan Ren, Changjun Wu, Xiaofei Kou

Journal of System Simulation

For the dual-resource-constrained flexible job shop scheduling problem considering worker load, an evolutionary algorithm integrating reinforcement learning was proposed. A three-stage encoding conforming to the problem characteristics was designed, and three initialization methods were combined to improve the population quality; a left-insertion decoding method based on worker load was designed to ensure that the completion time of the operation is less than the maximum processable time of the worker on the current day; two neighborhood structures based on the critical path were constructed to enhance the local exploration ability of the population; reinforcement learning was integrated to enable the …

Parameter Identification Of Permanent Magnet Synchronous Motors Based On Igwo-Aekf, Lei Yao, Zijian Zheng, Tianhao Li, Yulun Chi

Journal of System Simulation

The accuracy of the traditional EKF in parameter identification of the PMSM tends to be degraded under load changes or abrupt changes in internal parameters of the motor. This paper proposes an IGWO adaptive interconnected Kalman filter observer, which constructs an adaptive mechanism that combines the innovation and residuals to achieve dynamic adjustment of the process noise matrix and system noise matrix, thereby avoiding the problem of reduced parameter identification accuracy due to reliance on fixed covariance matrices under operating condition changes. A multi-parameter interconnected coupling compensation identification model for PMSM is built to mitigate the effects of measurement noise …

Research On Control Strategy For Shortest Time Occupancy Of Auv Based On Improved Td3, Wenzhe Ren, Min Li, Xiangguang Zeng, Tao Zhang, Dijie Xie, Bei Peng

Journal of System Simulation

Existing occupancy models fail to fully consider the interference of underwater time-varying ocean currents and task time constraints, and AUVs lacks real-time motion control. To address these issues, a shortest time occupancy method based on quantile regression and distributed TD3 was proposed. The Bayesian inference method was used to identify hydrodynamic parameters, and the kinematic and dynamic models of AUVs were established; the shortest time occupancy equation was constructed, and the occupancy target point and occupancy time were solved; a first-order Gauss-Markov process was introduced to simulate the time-varying ocean current environment, and the training of control strategy for AUV …

Impact Angle-Constrained Dive Maneuver Guidance Method For Hypersonic Vehicles, He Wang, Gang Lei, Shaopeng Li

Journal of System Simulation

To address the impact angle control and maneuvering flight problem of hypersonic vehicles in the dive phase, this paper proposed a tracking guidance method integrating optimal Bézier curves and super-twisting sliding mode control. A three-dimensional Bézier curve trajectory satisfying the impact angle constraint was designed, and the maneuvering flight in dive phase was achieved by adding dynamic control points; to optimize impact velocity, a rapid calculation method for the impact velocity of the vehicle flying along the curve was derived, and the optimal reference trajectory was obtained by optimizing the control point parameters through sequential quadratic programming; to ensure …

Application Of Improved Multi-Objective Differential Algorithm In Robotic Arm Multi-Objective Trajectory Planning, Manqiang Liu, Ziqiang Shang

Journal of System Simulation

It is difficult for single-objective trajectory planning methods to meet the requirements of precision, diversity and complexity of robotic arms. A trajectory planning model based on an improved multi-objective differential evolution algorithm (guided multi-objective differential evolution, GMODE) algorithm is proposed. Cubic polynomial interpolation and B-spline curves are employed to construct multi-objective functions, while GMODE is adopted to overcome the limitations of traditional algorithms, such as insufficient population diversity, the tendency to fall into local optima, and slow convergence. A grouping strategy, parameter generation mechanism, and elite mutation based on fuzzy Cmeans clustering are introduced to optimize B-spline control nodes. …

Robot Friction Force Compensation Algorithm Integrating Temperature And Speed Factors, Jinwang Lü, Ankai Ying, Ming Li, Tao Song, Jie Zhang, Fanghui Qiu, Changcheng Shi, Guokun Zuo, Jialin Xu

Journal of System Simulation

Insufficient friction force compensation accuracy degrades motion smoothness, stability, and assistive compliance of elbow joint rehabilitation robots. To address this issue, an improved Stribeck friction force model integrating temperature and speed factors was proposed. The model employed an exponentially decaying friction factor to describe the characteristic that the increase rate of friction force slowed down with the rise of the robot's operating speed and designed a viscous function considering temperature effects to suppress friction force fluctuations caused by temperature changes. Experimental results indicate that the model achieves stable friction force compensation under different operating states of the robot and has …

Current Status And Prospects Of Complex Scene Reconstruction Based On Gaussian Splatting, Hong'an Li, Jiale Yang, Qingfang Liu, Yu Shi

Journal of System Simulation

Three-dimensional Gaussian splatting (3DGS) provides an alternative approach for novel view synthesis from the perspective of explicit representation. By reconstructing scenes using 3D Gaussian primitives and replacing traditional ray integration with a point-based rasterization process, it not only improves training and rendering efficiency but also offers new insights for complex scene reconstruction. This paper divided 3DGS-based complex scene reconstruction methods into three major categories and elaborated on them around large-scale scenes, sparse views, and dynamic scenes. It reviewed the current development status of this field and pointed out possible future research directions.

Pattern Identification And Mechanism Analysis Of Nonlinear Oscillations In Grid-Connected Direct-Drive Wind Turbines, Libin Wen, Shaopu Tang, Xianfa Hu, Jinji Xi, Tongtong Zhang, Hong Hu, Weijie Zhang

Journal of System Simulation

Taking a grid-connected direct-drive wind turbine system as an example, a comprehensive model is developed that incorporates nonlinear elements such as prime mover control, machine-side and grid-side converter control, multiple limiters, and control switching. A nonlinear oscillation pattern identification method based on density clustering and manual identification is proposed. The results show that the proposed method can efficiently identify various typical patterns, including quasi-constant amplitude oscillations, period-doubling oscillations, and chaotic oscillations. Oscillations dominated by nonlinear factors such as control switching, limiter collision, and limiter saturation are essentially caused by the transition of the associated components from passive responses to …

Experimental And Simulation Study On Energy Release Of Extended Sources Influenced By Atmospheric Pressure Variation, Kai Guo, Feiyu Zhao, Hao Zhang, Liang Wang, Kai Zhang

Journal of System Simulation

To investigate the energy release characteristics of extended sources in low-pressure environments, a combined experiment and simulation approach was adopted. Four typical altitudecorresponding pressures were selected as experimental conditions. An infrared thermal imager was employed to monitor parameters such as combustion temperature, radiance, and combustion area during the combustion process of the extended source. When the pressure decreases from 101 kPa to 30 kPa, the ignition time of the extended source doubles; the total energy release attenuates by 44.78%, and the combustion area reduces by 45.95%, but the fluctuations of peak temperature and average temperature are less than 3%, …

Object Detection Networks And Their Interpretability In Rain, Fog, And Snow Scenarios, Yanji Jiang, Jiayu Cui, Hao Dong, Daqian Liu, Bowen Fei, Miao Yu, Jinshan Huang

Journal of System Simulation

To address the severe degradation of object detection performance under extreme weather conditions, a detection framework based on the Kolmogorov-Arnold theorem, termed KADet, is proposed. A dynamic Kolmogorov-Arnold Transformer is designed, which leverages learnable nonlinear activation functions to enhance the modeling capability for complex distortions introduced by weather degradation. A Kolmogorov-Arnold spatial-channel network is developed by integrating KAT convolution with spatial-channel convolution to strengthen feature learning of relationships between targets and backgrounds in degraded scenes. An improved loss function is introduced to guide the optimization of the activation functions, and interpretability is analyzed through visualization of their curves. …

Vibration Diagnostics For Industrial Machinery: From Signal Processing To Deep Learning, Walid M. Shewakh

Emirates Journal for Engineering Research

When machines break down unexpectedly, it costs factories a lot of money and can even put workers at risk. That is why vibration analysis has become such a big deal in predictive maintenance. By listening to how a machine vibrates, engineers can often tell something is wrong before the whole thing falls apart. This paper looks at how we have gotten better at this over the years. We started with fairly basic signal processing, things like Fourier transforms that have been around for ages, and now we are seeing some really interesting work with neural networks and deep learning. I …

Modeling And Optimization Of Li-Ion Battery Recycling Process, Wang Lingling, Zhou Panpan, Ma Yulong

Dianchi(Changsha)

No abstract provided.

Review On Capacity Degradation Mechanisms And Lifetime Prediction Of Energy Storage Li-Ion Battery, Ma Yue, Chen Yanqiao, Wang Chu, Wang Xianwen, Liu Hui, Chen Yifei, Chen Lai, Yan Kang, Su Yuefeng

Dianchi(Changsha)

No abstract provided.

Opportunities And Challenges Of Cross-Border E-Commerce In Li-Ion Batteries, Ma Jingjing, Chen Xianyi

Dianchi(Changsha)

No abstract provided.

Urban Resilience To Environmental Displacement: Sustainable Design Strategies In Samarra And Najaf, Ghufran Rassam Hade, Khalid Hammood Mudhahe

AUIQ Technical Engineering Science

This research investigates the critical role of urban resilience as a strategic framework to mitigate climate-induced environmental displacement in hot-arid regions, specifically focusing on the historical Iraqi cities of Samarra and Najaf. As global temperatures rise, these cities face intensifying thermal stress and desertification, acting as primary ``push factors'' for involuntary migration. The objective of this study is to evaluate the efficacy of sustainable urban design and traditional planning morphologies in enhancing the adaptive capacity of these urban centers. The methodology employs a Variable-based Digital Spatial Analysis utilizing Landsat 8 TIRS and Sentinel-2 satellite imagery. Through advanced geospatial processing, original …

Strengthening The Properties Of Clay Soil With Crushed Oysters, Hadeel Ammar Mohammed, Najwa Wasif Jassim, Hanan Adnan Hassan Afaj, Mohammed Yousif Fattah, Noor S. Al-Hassnawi

HBRC Journal

When problematic clayey soils are used for engineering purposes without treatment, they can lead to structural cracks in roads, buildings, and underground infrastructure. The use of oyster shell powder in geotechnical applications has been the subject of little research, which is why this study looked into it. Examining the stabilization of different percentages (6, 9, 12, 15, 18, and 21 percent) of oyster shell (OS) treatment of clayey soil is the aim of this study. Compaction, strength, CBR, and Atterberg tests are among the experiments used in this study. The study's importance lies in turning oyster shell waste into a …

Numerical Evaluation Of Constitutive Soil Models For Cyclic Soil–Structure Interaction In Integral Abutment Bridges, Walaa Sayed Said, Sherif Adel Akl, Abdullah Galaa, Mohamed El-Khouly

HBRC Journal

The accurate representation of backfill soil behaviour is a critical step in Finite Element (FE) analysis of Integral Abutment Bridges (IABs) subjected to thermally induced cyclic loading. This paper focuses on the evaluation and selection of a constitutive model, out of those commonly available in geotechnical FE packages, suitable for this purpose. Hardin–Drnevich (HD), General Quadratic/Hyperbolic Shear (GQHS), Hardening Soil (HS) including its extension to consider the small-strain stiffness (HSS), and the University of British Columbia (UBC) sand model were first assessed through simulating drained cyclic simple shear element tests. The results indicated that the UBC model captured key aspects …

Patterns Of Alcolysis Of Secondary Polyethylene Terephthalate With Diethylene Glycol, Juraev B. Juraev, Murafar G. Alimuhamedov, Ravshan I. Adilov, Bobir B. Aykhodjaev, Olga S. Kukurina

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of this work was to study the process of alcoholysis of recycled polyethylene terephthalate with diethylene glycol, as well as the structure and physicochemical properties of the final product. IR and PMR spectroscopy were used to study the structure and identify the structure of the products of RPET alcoholysis with diethylene glycol. As a result of  studies of the alcoholysis of polyethylene terephthalate-containing waste with diethylene glycol, a wide range of hydroxyl-containing oligoesters was synthesized. The possibility of changing their physicochemical properties by adjusting the process parameters was demonstrated. This makes it possible to synthesize hydroxyl-containing oligoesters with …

Photocatalysts Based On Titanium Dioxide And Zinc Phthalocyanine Composites For Photodegradation Of Methylene Blue, Albert R. Koldarov, Mastura Kh. Aripova, Odilzhon E. Abdurakhmonov, Zuhra Ch. Kadirova, Abror O. Tashpulatov

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of this work is to analyze the photocatalytic degradation of a model methylene blue solution using titanium dioxide composites with zinc phthalocyanine as the sensitizing photocatalyst under sunlight. The objects of the study are TiO₂-based photocatalysts derived from the spent catalyst of the Shurtan GCC after heat treatment at 650°C (T-650), as well as a composite containing zinc phthalocyanine (T-650/PcZn). It has been established that the photodegradation reaction follows a pseudo-first-order model, while the rate constant for the TiO₂/PcZn composite is significantly higher than that of pure TiO₂, indicating greater efficiency. The …

Synthesis And Infrared-Spectroscopic Study Of Complexes Of Selected 3d-Metals With 2-(2-Pyridyl)-Benzimidazole, Farangiz A. Khujayeva, Hakima A. Alikulova, Shahzoda G. Allamurodova, Mushtariybonu M. Sunnatillayeva, Shahlo Sh. Daminova

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of this study was to synthesize and systematically investigate the coordination compounds of several 3d metals with 2-(2-pyridyl)benzimidazole (2-PBI) using infrared (IR) spectroscopy. Complexes of copper(II), nickel(II), and cobalt(II) with the general formula [M(2-PBI)3](ClO₄)₂were successfully synthesized. Based on the analysis of the IR spectra, it was established that the 2-PBI ligand coordinates to the metal ion in a bidentate manner through the nitrogen atoms of the benzimidazole and pyridyl rings. The shifts of the ν(C=N) and ν(C–N) stretching vibration bands, as well as the appearance of new bands in the 623–485 cm⁻№ region corresponding to ν(M–N) and vibrations, …

Production Of Organo-Mineral Fertilizing Ameliorants Based On Phosphogypsum, Central Kyzylkum Phosphorites And Biohumus, Temur A. Ospanov, Axmed M. Reymov, Rashid K. Kurbaniyazov, Jaxanger M. Bisenbaev

CHEMISTRY AND CHEMICAL ENGINEERING

Phosphogypsum, a large-scale industrial by-product generated during phosphoric acid production, poses significant environmental challenges due to its accumulation and potential ecological impact. This study investigates the utilization of phosphogypsum as a raw material for producing fertilizing ameliorants in combination with Central Kyzylkum phosphorites and biohumus. Composite mixtures were prepared and granulated using a 30% ammonium sulfate solution as a binding agent. The chemical composition, phase structure (XRD), and microstructure (SEM–EDS) of the obtained materials were analyzed. The results demonstrate the formation of calcium phosphate and sulfate phases, including CaHPO4·2H2O, β-Ca3(PO4)2, and CaSO4·2H2O, which contribute to both fast- and slow-release nutrient …

Processing Of Wc–Co Waste With Selective Extraction Of Co3o4 By Oxidative Fusion In Nano3 Melt, Ilyos A. Bozorov, Aziz B. Ibragimov, Odiljon E. Abdurakhmonov, Mastura Kh. Aripova, Sherzod E. Abdurakhmonov

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of this study was to develop and experimentally validate a selective method for producing high-purity cobalt oxide from WC–Co hard alloy waste using oxidative fusion in a sodium nitrate (NaNO₃) melt, followed by combined aqueous and acidic purification of the solid residue. Cemented carbide scrap and waste containing 6–12 wt.% Co were used as feedstock, without prior grinding. It was found that, during heat treatment in the range of 650–900 °C, tungsten predominantly converts into soluble sodium tungstates, while cobalt concentrates in the solid residue as an oxide phase. Optimal process conditions, such as 850°C and …

Temperature-Dependent Electrocatalytic Activity Of Mxene For Hydrogen Evolution Reaction., Javlonbek I. Mamanazirov, Shavkat I. Mamatkulov

CHEMISTRY AND CHEMICAL ENGINEERING

This study represents the synthesis technology of MXene catalyst for hydrogen evolution reaction (HER) and investigates the temperature-dependent electrocatalytic activity of MXene-based catalysts in alkaline media. Using a three-electrode configuration in 1M KOH, the electrochemical performance was systematically evaluated across a temperature range of 25 °C to 40 °C. Linear sweep voltammetry (LSV) results demonstrate a significant enhancement in catalytic efficiency at elevated temperatures, evidenced by a consistent shift in polarization curves toward lower potentials. Specifically, the overpotential required to achieve a current density of 10 mA/cmІ decreased from 257 mV at 25 °C to 203 mV at 40°C, marking …

Features Of Formation Of The Structure And Properties Nonfritted Glazes For Sanitary Ceramic Products, Ivan A. Levitskii, Mihail V. Dyadenko, Valery G. Luhin

CHEMISTRY AND CHEMICAL ENGINEERING

The results of research on the formation of nonfritted glass-ceramic coatings for sanitary ceramic products are presented. The synthesis was carried out in a multicomponent raw material mixture including pegmatite, chalk, quartz sand with a constant content of zirconium silicate, talc, wollastonite, zinc whitewash, refractory clay and kaolin. Glazes were obtained by single firing at a temperature of 1200±5 °C for a duration of 20 hours. Samples of coatings were obtained, the processes of glaze formation were studied, the fusibility of glazes was assessed, and their physico-chemical properties were studied in relation to the features of the formation of the …

Fiber-Optic Products Based On Borosilicate Glasses, Mihail V. Dyadenko

CHEMISTRY AND CHEMICAL ENGINEERING

The research results of the development of glass compositions for a light-guiding core, reflective and protective coats of optical fiber using a stack method are presented. The optimal ratio of glass-forming oxides and modifications in their compositions has been determined, which ensures the resistance of glasses to crystallization during the manufacture of optical fiber, its thermomechanical strength, the required geometry of optical fibers and the light transmission of fiber-optic products, amounting to 60–75%.

The influence of the chemical composition of the glasses of the light-guiding core and the light-reflecting coats on their refractive index, which determines the magnitude of the …

Synthesis Of Nanostructured Yttrium Oxide Luminescent Powders Activated By Terbium Ions, Eygeniy N. Poddenezhny, Andrei A. Boiko, Olga S. Nevzorova, Ekaterina E. Trusova, Vladimir S. Urbanovich

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of this work is to synthesize nanostructured luminescent powders of yttrium oxide doped with terbium ions. Y₂О₃:Tb³⁺ powders were obtained by thermochemical synthesis (combustion). The sources for the synthesis were nitric acid salts of yttrium and terbium. Organic acids, citric acid and acetic acid, were used as reducing agents and combustible components. It has been established that large porous aggregates with sizes up to 200 microns are formed with citric acid during combustion, and nanostructured finely dispersed powders consisting of nanocrystalline particles with sizes of 39±5 nm are formed with …

Engineering Evaluation Of Post-Stroke Gait Using A Wearable G-Walk Sensor Under Different Ankle-Foot Orthosis Conditions: A Longitudinal Case Study, Mohamed Sattar Jabbar, Ammar Issam Kubba

AUIQ Technical Engineering Science

The gait profile of post-stroke patients is typically one of reduced speed, asymmetry and decreased functional mobility. Ankle–foot orthoses (AFOs) are commonly prescribed to enhance gait stability and promote safer ambulation; however, within-person longitudinal gait changes across multiple orthotic conditions have not yet been quantitatively characterized using wearable motion analysis systems. The objective of this study was to perform a longitudinal assessment of spatiotemporal gait parameters through a wearable G-Walk inertial measurement unit (IMU) with three walking conditions: without orthosis, Conventional custom-made ankle foot orthosis AFO and Prefabricated posterior leaf spring AFO. Two functional tasks, normal walking and Timed Up …

Visionarium, June 2026, Full Issue

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Toward A Metric For Disciplinary Learning In The Age Of Ai: The Unblooms™ Metacognitive Awareness Scale And Discernment Rate In Ai-Mediated Learning, Tina R. Austin

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Telling students to “reflect on their own thinking” has become insufficient in AI-mediated learning environments. When students are rewarded for polished outputs, cognitive offloading to AI tools becomes rational, and traditional snapshot assessments (single-moment evaluations of task completion) produce false signals about whether durable learning has occurred. This problem is sharpened by the broader shift in AI learning tools toward Socratic tutors, study modes, Khan Academy's Khanmigo, and agentic systems that can shape the learner’s process over time. Lodge and Loble (2026) distinguish beneficial cognitive offloading, which frees working memory for intrinsic learning, from detrimental outsourcing, which bypasses the cognitive …

Metacognition As Disciplinary Infrastructure In Ai-Mediated Learning, Tina R. Austin, Jason Gulya, Nick Potkalitsky

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Metacognition is often presented as a response to generative AI’s disruption of teaching and learning, yet the term has become too generalized to guide practice. In AI-mediated environments, asking students merely to “reflect on your thinking” is insufficient. Because AI tools can redistribute cognitive labor, their educational value depends on how students use them and whether that use supports disciplinary forms of reasoning. This essay argues that metacognition must be understood as disciplinary infrastructure: students cannot effectively monitor their thinking without understanding the epistemological and ontological demands of the field in which they are working. Classrooms therefore become sites where …