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Articles 271 - 300 of 25756
Full-Text Articles in Entire DC Network
An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom
An Intelligent System For Managing High-Priority Vehicle Routing In Smart Cities Using Artificial Intelligence And Spatial Data Analytics, Bahjat Abdulelah Madhloom
Al-Esraa University College Journal for Engineering Sciences
In developing metropolises, there is a risk to public safety in addition to the usual traffic jams. Traffic delays can have life-altering effects every second that fire trucks and ambulances are delayed. Large cities like Baghdad, which suffer from haphazard road sealing and incompetent traffic management, are especially affected, creating daily emergency crisis problems. We create a new intelligent routing system for these top priority vehicles in order to solve this life-or-death problem. Our method uses a trained model with real-time spatial information instead of outdated static maps. A Long Short-Term Memory (LSTM) neural network at its core constantly forecasts …
Improvement Of Mechanical And Corrosion Properties Of Weld In Stainless Steel In Crude Oil Tank By Using Nano-Fillers, Ali Abdulzahra Shanshoon
Improvement Of Mechanical And Corrosion Properties Of Weld In Stainless Steel In Crude Oil Tank By Using Nano-Fillers, Ali Abdulzahra Shanshoon
Al-Esraa University College Journal for Engineering Sciences
The aim of this study is to investigate the corrosion behavior and mechanical properties of welded steel exposed to gases emitted from crude oil reservoirs. In this study, two types of nanoparticles were used as fillers during welding to improve corrosion and mechanical properties. TiO2 and SiO2 nanoparticles were mixed with soldering oil in four mass concentrations of 0, 1, 2.5 and 5% by ultrasonic bath method and used as filler during the welding process. In order to prepare the samples, plain carbon steel with a thickness of 3 mm was used and they were welded together by …
Video Compression Optimization Techniques Using Artificial Intelligence: Review/Review Article, Amal Abbas Kadhim, Wedad Abdul Khuder Naser, Nada Abdulkareem Hameed
Video Compression Optimization Techniques Using Artificial Intelligence: Review/Review Article, Amal Abbas Kadhim, Wedad Abdul Khuder Naser, Nada Abdulkareem Hameed
Al-Esraa University College Journal for Engineering Sciences
Compressing video is an important and essential function in today's multimedia systems as it enables the efficient storage and transmission of large volumes of video data. The proliferation of high-resolution videos that are being used in various application areas such as video streaming, video conferencing, surveillance, and autonomous systems has caused the strong demand for more efficient compression algorithms. This paper presents an in-depth review of video compression techniques with particular focus on AI methods. It also discusses traditional video coding standards including H. 264/AVC, H. 265/HEVC, and AV1, including motion estimation, transform coding quantization entropy coding, and rate-distortion optimization. …
Strategic Optimal Design Of Energy Storage Systems For Enhancing Stability And Sustainability In Electrical Distribution Networks, Hayder Abdulhussein Allawi
Strategic Optimal Design Of Energy Storage Systems For Enhancing Stability And Sustainability In Electrical Distribution Networks, Hayder Abdulhussein Allawi
Al-Esraa University College Journal for Engineering Sciences
The paper will provide a multi-objective model of optimizing the strategic placement and size of Battery Energy Storage Systems (BESS) in the Iraqi electrical distribution systems. The power grid of Iraq has deep issues, such as chronic power shortages, extreme grid instability, and astronomical technical and non-technical losses, and they can be up to 50 percent of the power generated. These problems require new solutions that will make the grid more modern and reliable in terms of energy security. The suggested methodology combines a Multi-Objective Particle Swarm Optimization (MOPSO) algorithm and the specific mathematical models of BESS and renewable energy …
Solar-Assisted Thermal Integration For Improving Fuel Pumping Efficiency In The Middle Oil Distribution Company – Karbala Depot, Ali Shakir Hial
Solar-Assisted Thermal Integration For Improving Fuel Pumping Efficiency In The Middle Oil Distribution Company – Karbala Depot, Ali Shakir Hial
Al-Esraa University College Journal for Engineering Sciences
This paper discusses how a solar-assisted thermal heating system can be incorporated to enhance the efficiency of fuel pumping at the Karbala Fuel Depot which is managed by the Middle Oil Distribution Company in Iraq. The aim of the system is to partially pre-heat diesel before pipeline transfer and hence minimizing losses in pressure caused by viscosity and saving electrical power consumed during pumping operations. The test is a combination of field tests, thermal performance modeling, and thermal flow analysis using CFD to capture the interaction between temperature, fuel rheology and pump load behaviour. It was proven that the stratified …
Enhancement Of Gas Turbine Efficiency By Using Recuperator And Intercooler Systems, Mohammed Saad Kamil
Enhancement Of Gas Turbine Efficiency By Using Recuperator And Intercooler Systems, Mohammed Saad Kamil
Al-Esraa University College Journal for Engineering Sciences
High power density and operational flexibility make gas turbines an indispensable part of contemporary energy conversion systems. However, in the simple cycle configuration, the thermal efficiency is generally low because the exhaust heat loss is large and the compression work is high. The current investigation is focused on enhancing the thermal efficiency of a gas turbine by the introduction of two augmentation schemes, namely a recuperator and an intercooler. A numerical and thermal simulation study was carried out to model the gas turbine cycle based on the first and second laws of thermodynamics. Simplicity and Modified cycles Performance of simple …
Performance Evaluation Of Multi-Stage Compressors And Their Impact On Energy Conversion System Efficiency `A Field Study At Thi-Qar Oil Company', Taha Chyad Thajeel
Performance Evaluation Of Multi-Stage Compressors And Their Impact On Energy Conversion System Efficiency `A Field Study At Thi-Qar Oil Company', Taha Chyad Thajeel
Al-Esraa University College Journal for Engineering Sciences
This paper is a field-based performance assessment of a multi-stage natural gas compressor that is operating in realistic industrial conditions. The data is analyzed using the real operating data taken in a particular oil and gas plant and, therefore, the actual operating data is used to determine the trends of thermodynamic behavior, energy consumption, and efficiency, instead of theoretical or simulation-based assumptions. The analysis was performed phase by phase in order to examine the distribution of pressure ratios, temperature increase and power consumption in the compressor stages. The findings demonstrate that there is a significant difference between the power of …
Experimental Analysis Of Thermal - Hydraulic Enhancement In A Shell-And-U-Tube Heat Exchanger Using Copper Foam Baffles, Rawaa Hussein Al-Meammar
Experimental Analysis Of Thermal - Hydraulic Enhancement In A Shell-And-U-Tube Heat Exchanger Using Copper Foam Baffles, Rawaa Hussein Al-Meammar
Al-Esraa University College Journal for Engineering Sciences
Porous metal foams have emerged as a promising medium for thermal management due to their high surface area, low density, and excellent thermal conductivity. This study investigates the effect of copper porous foam baffles with different pore densities (5 and 10 PPI) on the thermal and hydraulic performance of a shell-and-U-tube water–water heat exchanger. An experimental setup was developed to evaluate the Nusselt number, heat transfer coefficient, pressure drop, and friction factor over a range of Reynolds numbers across the annular side. The results revealed that incorporating porous metal foam significantly enhanced heat transfer compared with the smooth-tube configuration. At …
Cfd Optimization Using Ansys Fluent For Advanced Thermal Energy Conversion, A Case Study On Heat Recovery Systems In Iraqi Power Plants, Basim Mohammed Abid Ali
Cfd Optimization Using Ansys Fluent For Advanced Thermal Energy Conversion, A Case Study On Heat Recovery Systems In Iraqi Power Plants, Basim Mohammed Abid Ali
Al-Esraa University College Journal for Engineering Sciences
The energy sector in Iraq has lots of potential but the infrastructures are old and lack optimum thermal efficiency resulting in high consumption of fuel and environmental degradation. The study focuses on the urgent necessity of modernization of the thermal energy conversion systems in the industrial plants of Iraq by means of the further development of numerical simulation. The paper applies the Computational Fluid Dynamics(CFD) through ANSYS Fluent to model and optimize a shell-and-tube heat exchanger, which is similar to the ones employed in heat recovery units in Iraqi thermal power plants like the Al-Dora power plant in Baghdad. The …
Spatial Estimation For Gas Flaring And Natural Gas Waste From Oil Production Using Remote Sensing And Gis Techniques, Hisham M. Jawad Al Sharaa
Spatial Estimation For Gas Flaring And Natural Gas Waste From Oil Production Using Remote Sensing And Gis Techniques, Hisham M. Jawad Al Sharaa
Al-Esraa University College Journal for Engineering Sciences
This study aims to provide a comprehensive geospatial gas flaring intensity and emission doses analysis throughout oil production areas in Iraq based on remote sensing and GIS-based interpolation methods. Satellite image and spatial data were combined to create a map of flaring locations, refinery locations, and associated CO2-equivalent emissions. The results show that there is a clear spatial variation in the intensity of the emissions ranging from northern regions towards the oil fields in the south near Basra, Rumaila and West Qurna, where refinery density and high flaring activities are observed. Interpolation modelling suggests that the majority of …
Ai-Enhanced Heat Transfer Optimization In Magnetic Bio-Nanofluids, Hasan Attyah Shaboot
Ai-Enhanced Heat Transfer Optimization In Magnetic Bio-Nanofluids, Hasan Attyah Shaboot
Al-Esraa University College Journal for Engineering Sciences
This study presents a hybrid Artificial Intelligence–Computational Fluid Dynamics (AI-CFD) framework for optimizing heat transfer in magnetic bio-nanofluids subjected to external magnetic fields. Magnetic bio-nanofluids, composed of biocompatible base fluids containing superparamagnetic nanoparticles, exhibit tunable thermal and flow behavior, making them promising for biomedical and micro-cooling applications. Conventional optimization methods based on experiments or brute-force CFD are computationally expensive and limited in exploring the full design space. To overcome these challenges, an Artificial Neural Network (ANN) surrogate model was developed to predict two key performance indicators, the Nusselt number and the friction factor, with high accuracy (R2 > 0.997). The …
Adaptive Modulation Techniques To Enhance Ofdm System Performance, Alaa Aqeel Mohammed
Adaptive Modulation Techniques To Enhance Ofdm System Performance, Alaa Aqeel Mohammed
Al-Esraa University College Journal for Engineering Sciences
The fourth-generation (4G) mobile communication is supposed to combine a broad coverage of services, including high-speed data, video streaming, multimedia applications and voice transmission, into a single scale. Adaptive OFDM (AOFDM) is among the most popular techniques proposed to meet this objective in which the settings of the transmission are dynamically optimized to the prevailing changing conditions of the channel fading. This paper is concerned with the adaptive modulation in OFDM. We find out the performance of un-coded adaptive modulation on the schemes of QAM and PSK. An effort to use convolutional coding is also integrated into the structure of …
Design And Development Of Solar-Powered Water Desalination Systems, Salam Ali Hassoon Alabooda
Design And Development Of Solar-Powered Water Desalination Systems, Salam Ali Hassoon Alabooda
Al-Esraa University College Journal for Engineering Sciences
Background: Freshwater scarcity and growing energy demand have promoted interest in sustainable desalination technologies, particularly in arid areas like Iraq which has high solar resource and decentralized water supply becomes a key factor. Aim: The purpose of this study was to design and test a solar powered water desalination system that could enhance fresh water productivity, thermal efficiency and quality of water under the climatic conditions of Iraq. Methodology: It was designed as hypothetical pilot-scale system that comprised of a single-slope solar still combined with a flat-plate solar collector, a 200 W photovoltaic-driven circulation pump and 18 kg of phase …
Comparative Adsorptive Performance Of Clinoptilolite, Purolite, And Mesoporous Carbon (Cmk-3) For Heavy Metals And Hydrocarbons Removal From Real Petrochemical Effluent, Eynas Muhamad Majeed, Nuha Muhsen Ali
Comparative Adsorptive Performance Of Clinoptilolite, Purolite, And Mesoporous Carbon (Cmk-3) For Heavy Metals And Hydrocarbons Removal From Real Petrochemical Effluent, Eynas Muhamad Majeed, Nuha Muhsen Ali
Al-Esraa University College Journal for Engineering Sciences
Petrochemical activities result in the generation of effluent that contain highly toxic heavy metals and oil products, which are very hazardous to the environment. The research tries to examine the adsorption capacity of three materials synthetic clinoptilolite, synthetic Purolite, and synthesized mesoporous carbon (CMK-3) in the removal of Ni2+, Cd2+, Pb2+, benzene, and toluene present in real refinery effluent obtained at Al-Dora Refinery in Iraq (Baghdad). The experiments were carried by batch adsorption that investigated the equilibrium behavior, kinetic performance, and the influence of ionic strength and organic co-contaminants. The heavy metal adsorption was …
The Impact Of Architectural Form On Seismic Performance Of Buildings, Durgham Munir Abdul Hadi, Abdullah Saadoon Salman, Lahib Ali Abdul Hussein
The Impact Of Architectural Form On Seismic Performance Of Buildings, Durgham Munir Abdul Hadi, Abdullah Saadoon Salman, Lahib Ali Abdul Hussein
Al-Esraa University College Journal for Engineering Sciences
Seismic overall performance of buildings is a important issue in each architectural and structural design, especially in regions exposed to seismic dangers. Despite giant improvements in structural engineering technologies, the function of architectural form stays insufficiently incorporated into layout practices geared toward improving seismic resistance. This look at investigates the effect of the formal dimension of architectural design on the seismic performance of buildings by analyzing key shape-related attributes, namely regularity, symmetry, simplicity, continuity, and slenderness. An analytical–descriptive method is followed, based totally on an extensive evaluation of applicable literature and the assessment of architectural configurations with regards to their …
Quality Of Life Indicators In Historic Urban Spaces: A Case Study Of Al-Mustansiriya Madrasa, Baghdad / Iraq, Israa H. Karam Ali, Shireen I. Khazaal
Quality Of Life Indicators In Historic Urban Spaces: A Case Study Of Al-Mustansiriya Madrasa, Baghdad / Iraq, Israa H. Karam Ali, Shireen I. Khazaal
Al-Esraa University College Journal for Engineering Sciences
Historic urban spaces play a central role in shaping social interaction, environmental comfort, and collective identity in cities with deep cultural heritage. Despite this importance, empirical assessments of their performance in terms of Quality of Life (QoL) from the perspective of contemporary users remain limited, particularly in the context of Baghdad. This study examines Quality of Life indicators within a historic urban space through a case study of Al-Mustansiriya Madrasa, one of Baghdad's most prominent historic educational complexes. A descriptive–analytical approach was adopted, integrating a structured questionnaire survey, systematic on-site observation, and spatial analysis based on Space Syntax techniques. The …
Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad
Interaction Design In Museum Architecture: A Contemporary Developmental Vision For The Iraqi Museum, Afaf Abdel Sahib Mohammed, Enas Salim Abdulahaad
Al-Esraa University College Journal for Engineering Sciences
The Iraqi Museum's remaining architectural form and traditional display techniques do not allow for enough interaction between visitors and the items, despite the museum's great heritage and cultural value. This between visitors and the exhibits. Additionally, the museum does not include interactive technologies and contemporary architecture, which are now essential components of modern museums around the world.This invites the question of how to optimize the Iraqi Museum's visitor experience by applying the principles of interaction design in museum architecture within a contemporary developmental vision. In order to revive the architectural spaces within the Iraqi Museum, the research aims to generate …
Experimental Analysis Of Diesel Engine Combustion Chamber Performance Using Field Measurements At The State Company For Heavy Engineering Equipment, Mohammed Kanaan Sedeeq
Experimental Analysis Of Diesel Engine Combustion Chamber Performance Using Field Measurements At The State Company For Heavy Engineering Equipment, Mohammed Kanaan Sedeeq
Al-Esraa University College Journal for Engineering Sciences
The current paper provides a detailed experiment and numerical study of the performance of the combustion chamber of a heavy-duty diesel engine in the common Iraqi industrial conditions at the State Company of Heavy Engineering Equipment (HEESCO). The main goal is to close the difference between what is specified by the manufacturers concerning the performance data, which is usually assumed to be under ideal conditions of the ISO standard, and the real efficiency of operation as witnessed in the field. The methodology is based on a hybrid approach that combines direct field measurements of in-cylinder pressure, temperature and fuel flow …
An Ai And Iot Framework For Dynamic Optimization And Sustainability In Smart Cities, Zeinab E. Ahmed, Rashid A. Saeed, Salah Hagahmoodi, Mamoon M. Saeed, Khalid Hamid, Sally D. Abugasim, Eyman F. A. Elsmany
An Ai And Iot Framework For Dynamic Optimization And Sustainability In Smart Cities, Zeinab E. Ahmed, Rashid A. Saeed, Salah Hagahmoodi, Mamoon M. Saeed, Khalid Hamid, Sally D. Abugasim, Eyman F. A. Elsmany
Al-Esraa University College Journal for Engineering Sciences
Smart cities are emerging as a critical solution for creating more efficient, sustainable, and comfortable urban environments. This transformation is primarily driven by the synergistic integration of the Internet of Things (IoT) and Artificial Intelligence (AI). The IoT provides a pervasive network of connected sensors that collect real-time urban data, while AI serves as the analytical engine that processes this information to optimize city-wide systems. This paper presents a comprehensive framework that leverages this AI-IoT convergence for dynamic optimization to achieve long-term urban sustainability. The framework focuses on enabling intelligent, data-driven decision-making across core urban domains. The discussion and analysis …
Optimization Of Bearing Design In Centrifugal Pumps Using Finite Element And Experimental Methods: Application At South Refineries Company, Basra, Mohammed Hasab Naser Al-Mtasher
Optimization Of Bearing Design In Centrifugal Pumps Using Finite Element And Experimental Methods: Application At South Refineries Company, Basra, Mohammed Hasab Naser Al-Mtasher
Al-Esraa University College Journal for Engineering Sciences
In the study, nonlinear vibration and thermo-mechanical characteristics of centrifugal pump bearings utilized in the cooling tower system of South Refineries Company (Basra) were properly examined using a combined experimental and numerical method. The intent of the study was to learn the impact of misalignment, the nature of the lubrication film, and thermal gradients on the stability of the operation of these bearings and their service life under realistic industry environment conditions. Finite element model (FEM) was constructed and tested on the basis of real field data obtained at the working pumps that allowed realistic distribution of stress and temperature. …
Towards Fast Detection Of Suspicious Bluetooth Trackers Using Anomaly Detection, Orobosa Ekhator, Dylan Conklin, Primal Pappachan, Roberto Yus
Towards Fast Detection Of Suspicious Bluetooth Trackers Using Anomaly Detection, Orobosa Ekhator, Dylan Conklin, Primal Pappachan, Roberto Yus
Computer Science Faculty Publications and Presentations
Detecting malicious Bluetooth Low Energy (BLE) trackers remains challenging because existing approaches rely on fixed time and distance thresholds that are brittle across environments. These heuristics produce false positives in dense environments and require long observation windows before flagging a device. To address these limitations, we present BL(u)E CRAB, a cross-platform (iOS/Android) mobile system that represents nearby devices using three risk factors derived from BLE scan data. Our detection model adapts Clustering-Based Local Outlier Factor (CBLOF) to BLE tracker detection and adds a gap-thresholding mechanism to separate high-scoring outliers from the benign majority. Across micro-benchmarks and end-to-end case studies, CBLOF …
Bio-Inspired Visual Intelligence: Improving Efficiency And Robustness Through Foveal-Peripheral Sampling And Learned Saccades, Jiayang Liu
Dissertations - ALL
Deep neural networks have achieved state-of-the-art performance across a wide range of computer vision tasks, yet their deployment in real-world and safety-critical domains remains limited by two major challenges: vulnerability to adversarial perturbations and high computational cost. While adversarial training can improve robustness under certain threat models, it is computationally expensive and often generalizes poorly to black-box or transferable attacks. At the same time, conventional vision pipelines process uniformly sampled high-resolution images, introducing substantial data redundancy, latency, and energy overhead. In contrast, the human visual system achieves efficient and robust perception through space-variant foveal-peripheral sampling, attention-guided saccadic eye movements, and …
Adaptive Path Planning For Robotic Arms Integrating Rrt* And Apf, Zhirun Chen, Jie Yuan, Erkenbieke Jia, Ningning Zhang, Chao Liu, Yushan Ye
Adaptive Path Planning For Robotic Arms Integrating Rrt* And Apf, Zhirun Chen, Jie Yuan, Erkenbieke Jia, Ningning Zhang, Chao Liu, Yushan Ye
Journal of System Simulation
To address the issues of large search space, low efficiency, and slow convergence of the RRT* algorithm in 3D path planning of robotic manipulators, an adaptive path planning algorithm integrating RRT* and APF is proposed. In the sampling phase, a Sobol sequence-based obstacle avoidance strategy and an APF adaptive-threshold, goal-biased sampling method are used to improve the quality of sampling points. During the expansion phase, sampling, attractive, and repulsive vectors are integrated, and adaptive weights are designed based on environmental information to generate a resultant force direction, thus enhancing the expansion guidance. For step size control, the obstacle repulsive potential …
A Cross-Dataset Vision Transformer Study For Brain Tumor Mri Image Classification, Sharon Kawira Mungania
A Cross-Dataset Vision Transformer Study For Brain Tumor Mri Image Classification, Sharon Kawira Mungania
Masters Theses
Brain tumor MRI classification is an important medical-imaging task because MRI scans contain complex anatomical patterns that can be time consuming to interpret manually. This study evaluates whether a pre-trained Vision Transformer can classify brain tumor MRI images consistently across datasets with different class structures. Three publicly available Kaggle datasets were used: Nickparvar, Br35H, and Figshare. Nickparvar and Figshare were treated as multi-class classification tasks, while Br35H was treated as a binary tumor/no-tumor task. Images were converted to three-channel format, resized to 384 × 384 pixels, normalized using ImageNet statistics, and augmented during training. The selected model was ViT-Base Patch …
Design Of Teaching Model For Simulation Engineering Comprehensive Practical Course, Meigen Huang, Xin Zhou, Tian Jing, Tao Wang
Design Of Teaching Model For Simulation Engineering Comprehensive Practical Course, Meigen Huang, Xin Zhou, Tian Jing, Tao Wang
Journal of System Simulation
To cultivate postgraduates' comprehensive engineering problem-solving ability to complex problems, based on Wittrock's generative learning theory and the agile systems engineering paradigm, this paper proposed an overall idea of curriculum construction reform promoted by the integration of teaching and research, independently developed an unmanned swarm attack and defense simulation experimental teaching platform, constructed a comprehensive practical case of "warship defense against unmanned aerial vehicle swarm attacks", and refined a relatively advanced and distinctive teaching model for the simulation engineering comprehensive practical course. This model effectively strengthens postgraduates' engineering problem-solving thinking for complex problems, stimulates their independent innovation ability, elevates …
Dynamic Analysis Of Flexible Mechanism With Lubrication Clearances Considering Uncertain Parameters, Xiulong Chen, Yi Sun, Aiguo Wang
Dynamic Analysis Of Flexible Mechanism With Lubrication Clearances Considering Uncertain Parameters, Xiulong Chen, Yi Sun, Aiguo Wang
Journal of System Simulation
This paper conducted a dynamic analysis on a seven-link mechanism suitable for a hybriddriven press, simultaneously considering lubrication clearances, interval parameters, and link flexibility. Based on the Lagrange equations of the first kind, the dynamic equations of the flexible mechanism with lubrication clearances under deterministic parameters were established; interval variables were introduced to establish a dynamic model considering interval parameters, and the Chebyshev interval algorithm and the Runge - Kutta method were used to solve the response interval curves of interval parameters such as clearances value, dynamic viscosity, and cross-sectional area. The results show that compared with the results under …
Energy Management Strategy For Hybrid Electric Buses Considering Vehicle Mass Variation, Jinjun Tang, Shuaijie Zhang
Energy Management Strategy For Hybrid Electric Buses Considering Vehicle Mass Variation, Jinjun Tang, Shuaijie Zhang
Journal of System Simulation
The vehicle mass variation during the operation of buses affects power demand of the vehicle, which can result in poor performance of energy management strategies. To this end, a hybrid electric bus energy management strategy based on proximal policy optimization-adaptive simulated annealing (PPOASA) is proposed. ASA is introduced into PPO to perturb policy parameters according to policy entropy before the policy update, and the perturbed policies are adaptively accepted or rejected by employing the Metropolis criterion, thus improving the exploration capability of the policy and convergence stability. Experimental results show that the proposed method outperforms the charge depleting-charge sustaining (CD-CS) …
Research On Optimization Modeling Method For Eye Tracking In Solfeggio Cognitive Simulation, Kun Zhang, Jiajie Qian, Shuhong Ma, Zengxu Zhao, Yuchen Pan, Yaoqi Tang
Research On Optimization Modeling Method For Eye Tracking In Solfeggio Cognitive Simulation, Kun Zhang, Jiajie Qian, Shuhong Ma, Zengxu Zhao, Yuchen Pan, Yaoqi Tang
Journal of System Simulation
To address the fixation offset problem caused by head movement in music solfeggio teaching simulation and the lack of system-level simulation validation in existing methods, this paper proposed a fixation accuracy optimization method integrating image semantic understanding, temporal trajectory modeling, and solfeggio cognitive simulation. With Vision Transformer as the core, after preprocessing via Mahalanobis distance, sliding window, and region of interest, position offset perception, offset residual regression, and dual-pathway fusion were introduced to achieve offset modeling and correction under unlabeled conditions. Simulation results indicate that the error of this method decreases by 43.9% compared with the original value error; removing …
Exploration And Practice Of Talent Cultivation System For System Modeling And Simulation, Shaoping Wang, Chao Zhang, Ni Li, Yong Cui, Yongjia Zhao, Quan Quan
Exploration And Practice Of Talent Cultivation System For System Modeling And Simulation, Shaoping Wang, Chao Zhang, Ni Li, Yong Cui, Yongjia Zhao, Quan Quan
Journal of System Simulation
Focusing on the cultivation of innovative talents in modeling and simulation of aerospace and safety-critical control systems and facing the problems and challenges in the education and teaching of talent cultivation for system modeling and simulation, this paper inherited the "red ambition, soaring far" spirit of simulation researchers in Beihang University, constructed an integrated bachelor, master, and doctoral course system empowered by the latest key technologies, designed open and collaborative aerospace teaching cases, independently developed a control system simulation teaching platform based on Chinese simulation software MWORKS, and constructed a hardware-in-the-loop simulation experimental verification system for C919 aircraft, to …
Exploration Of Talent Cultivation System And Practical Model For Simulation And Optimization Of Intelligent Manufacturing System, Xinyu Li, Zheng Duan, Liang Gao, Chunjiang Zhang, Peigen Li
Exploration Of Talent Cultivation System And Practical Model For Simulation And Optimization Of Intelligent Manufacturing System, Xinyu Li, Zheng Duan, Liang Gao, Chunjiang Zhang, Peigen Li
Journal of System Simulation
To address problems such as the insufficient integration of science and education in the talent cultivation system for traditional manufacturing system simulation and optimization, the insufficient integration of industry and education in cultivation goals and approaches, and the lack of full-chain industrial-level practical cultivation means, a "1223" reform scheme for innovative talent cultivation in the intelligent manufacturing system was formed. Research and practice were carried out focusing on the talent cultivation system, cultivation approaches, and practical cultivation resources for the simulation and optimization of the intelligent manufacturing system. Significant outcomes were achieved in aspects of innovative talent cultivation, faculty and …