Engineering Commons^™

Optimization Dispatch Method For High-Proportion Renewable Energy Power Systems Based On Sc-Ppo, Zhongkai Xu, Chenyang Chu, Kai Xie, Ruizhuo Zhao, Wenjun Ke

Journal of System Simulation

Abstract: The high proportion of renewable energy integration brings significant challenges of randomness, multi-objective coupling, and security constraints to power systems. Traditional model-driven methods have limitations in modeling accuracy and adaptability. To address these issues, this paper proposed a safety-constrained PPO algorithm (SC-PPO). The method included three improvements. A temporal convolutional network was utilized to construct a dynamic state encoder that integrated historical operation, real-time monitoring, and prediction data to form a causal state representation. A hierarchical reward structure was designed, and an adaptive weighting mechanism based on constraint satisfaction degree was introduced to coordinate multi-objective optimization. Physical constraint projection …

Microsimulation Of Infectious Disease Transmission Considering Virus Release, Transmission, And Action, Zhiming Fang, Shengdong Yuan, Ge Huang, Jingqian Yang, Zhongyi Huang

Journal of System Simulation

Abstract: Existing infection risk assessment methods mostly evaluate infection probability through mathematical models or simulation, but they lack analysis of the relationship between air circulation and individual infection probability. This study proposed a risk prediction model for infectious disease transmission based on indoor air circulation. At the microscopic scale, the space was discretized into grid points. By integrating CFD numerical simulation, the entire process of virus droplet release, transmission, and action was fully simulated. The simulation results show that in an obstacle-free room, the error between the total indoor viral load predicted by the model under windless and low wind …

Modeling And Simulation Of Traffic Signal Control Based On Mlp With Improved Gcn-Td3, Deqi Huang, Yating Tu, Zhenhua Zhang, Xin Guo

Journal of System Simulation

Abstract: To address the issues of uneven traffic flow at urban intersections, limited road capacity, and the poor coordination of existing traffic signal control algorithms, a traffic signal control algorithm based on graph convolutional reinforcement learning was proposed. By utilizing a multilayer perceptron, the dynamic features of vehicles and phase information at the controlled intersection and its neighboring intersections were extracted. A graph convolutional neural network was then employed to aggregate these vehicle dynamic features into potential features representing regional traffic. The control strategy was derived through multiple iterations of an improved twin delayed deep deterministic policy gradient (TD3) algorithm. …

Dynamic Order Scheduling For Pick-And-Pass System Considering Workload Balance And Learning Effects, Weihong Liu, Sixiang Zhao, Dali Zhang, Zhenhui Jiang

Journal of System Simulation

Abstract: In e-commerce logistics, the hybrid pick-and-pass systems offer both complexity and flexibility, enabling adaptation to a wider range of order picking scenarios. Therefore, they have been widely used. However, this also complicates the order scheduling problem, particularly when both workload balance and pickers' learning effects need to be considered. Efficiently scheduling orders to reduce picking time under these conditions poses a significant challenge. This study began by constructing a mathematical model for the static scheduling problem with known orders. Based on this model, a simulation model of hybrid pick-and-pass zones was developed, and a scheduling rule incorporating multiple system …

Simulation And Optimization Of Continuous Motion Control Based On Spiking Reinforcement Learning, Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Zhe Ma

Journal of System Simulation

Abstract: To improve the model robustness for multi-degree-of-freedom continuous motion control, an intelligent motion control algorithm was proposed based on the Actor-Critic reinforcement learning framework and spiking neural networks. This algorithm integrateed the Actor network with spiking population coding and enhanced model training performance by introducing feature transformation methods. The Critic network was used to evaluate the effectiveness of the motion control. The results show that, compared to other reinforcement learning algorithms, the average reward value of this method increases by more than 10%. The simulation results validate the effectiveness of the model in improving multi-degree-of-freedom continuous control performance.

Distributed Dispatch Method For Distribution Network And Microgrid Considering Diverse Regulating Resources, Yanbo Chen, Jiahao Yin, Tuben Qiang, Haoxin Tian, Yuxin Liang, Zhi Zhang

Journal of System Simulation

Abstract: Traditional centralized optimization-based dispatch methods for distribution networks struggle to balance the interests of multiple stakeholders while ensuring economic efficiency and operational reliability of the system. To address this issue, a distributed dispatch method for distribution network and microgrid considering diverse regulating resources was proposed. The operational models of the distribution network and microgrid were established by comprehensively incorporating active management elements and demand response mechanisms. A fuzzy chance-constrained method was employed to model the uncertainty in renewable energy output, thereby constructing a coordinated optimization dispatch model for distribution network and microgrid under renewable generation uncertainty. An improved goal …

Deep Learning Modeling Of Multi-Scale Characteristics Of Large-Scale Wind Turbine Gearbox, Yang Hu, Zihao Li, Deyi Fu, Ziqiu Song, Fang Fang, Jizhen Liu

Journal of System Simulation

Abstract: To address challenges in characterizing high-frequency vibrations of wind turbine gearboxes, the long computation time of rigid-flexible coupled multi-body dynamics models, and the complexity of configuring gearbox models across multiple scenarios, this study proposed a deep learning modeling method for multi-scale operation using full-condition digital testing. The study proposed a cascaded extended simulation scheme based on stream data-driven OpenFAST and Adams and utilized dynamic mode decomposition technology to construct a multi-scale dataset for the flexible multi-body dynamics characteristics of the gearbox under all operating conditions of the wind turbine. Based on this dataset, a digital surrogate model covering multiple …

Path Planning For Mobile Robots Based On Improved Rrt-Connect And Dwa Fusion, Yi Luo, Jia Deng

Journal of System Simulation

Abstract: To improve the efficiency and quality of dynamic path planning for mobile robots in complex environments, this paper proposed a path planning algorithm that combined an improved RRT-connect with the DWA. Two expanding random trees were introduced for alternating expansion, and a dynamically restricted sampling area was set to reduce the randomness of the sampling process while ensuring the probability completeness of the algorithm. A target bias adaptive step size strategy was employed to enhance the target orientation of the random tree expansion process. A greedy strategy was adopted to prune redundant nodes in the path and smooth the …

A Novel Joint Training Simulation Evaluation Framework And Its Key Techniques, Rusheng Ju, Dongdong Chen, Yunxiu Zeng, Jiyuan Liu, Sihang Qiu, Peng Zhou

Journal of System Simulation

Abstract: To address the challenges of traditional evaluation systems, such as internal module coupling, lack of reusability, and poor adaptability to multi-domain evaluation needs, a three-tier decoupled technical evaluation framework of "data + service + application" was designed. A strategy was proposed for extracting high-value information from massive audio and video data based on key events, resolving the problem of unstructured evaluation data processing. A design method combining general and dedicated evaluation model templates was proposed, improving the general applicability of the evaluation model. An expert knowledge-driven comprehensive integrated discussion and evaluation environment was constructed using qualitative and …

Distributed Heterogeneous Hybrid Flow-Shop Scheduling Considering Combined Buffer, Hua Xuan, Lin Lü, Bing Li

Journal of System Simulation

Abstract: In order to reduce cost losses caused by delivery delays, distributed heterogeneous hybrid flowshop scheduling problems under combined buffer conditions of finite buffer and zero-wait were studied. A hybrid estimation of distribution algorithm based on Q-learning was proposed to minimize total weighted earliness and tardiness. For the combined buffer, dynamic decoding was designed based on the average factory allocation strategy and the shortest path method. The initial job group was optimized by reverse learning. Q-learning was embedded in the probabilistic model for intelligent searching and updating based on the group state. Reconstruction of the job group was completed using …

Study Of ~-Topological Space By ~-Binary Relation In Cluster System, Mustafa Hasan Hadi, Luay Abd Al Haine Al Swidi

Iraqi Journal for Computer Science and Mathematics

In this paper, we introduced a new type of operators, which we called ~-operator by cluster system, and studied its properties without conditions and with certain conditions. Through our study of this operator, we defined a new topology, which we called ~-topological space, since it does not, in general, constitute a regular topological space. We also presented ~-interior points, ~-closure, ~-exterior points and reviewed some theories and examples about this concept.

Penggunaan Microsoft Excel Di Kehidupan Sehari-Hari, Dimas Hafidz Alfarisi, Bilal Al Kindi, Aisya Mardatila, Reni Anggraeni, Desi Wulandari

Bhakti: Jurnal Pengabdian Masyarakat

Community Service Program (KKN) is one of the main parts of the tridharma of higher education, which requires students to play an active role in community empowerment through education, research, and service. This article discusses one of program from the KKN team from Universitas Negeri Semarang (UNNES), which took place in Tlogopucang Village, Kandangan District, Temanggung. In today's digital era, mastery of information technology has become a crucial requirement, including the ability to operate data processing applications such as Microsoft Excel. Unfortunately, many people, especially in rural areas, are still unfamiliar with the benefits of Excel. However, this application has …

Measures To Improve The Structure And Operating Principle Of Perovsite Light-Emitting Devices, Latofat Utkir Qizi Shuhratova, Rustam Rashidovich Kabulov, Farrux Anvar Ugli Akbarov, Anvar Akbarovich Alimov

Technical science and innovation

Since the discovery of the unique properties of perovskite materials, these materials have been used as active layers in various optoelectronic devices. In particular, perovskite-based light-emitting diodes (LEDs) have attracted the attention of many researchers as a highly efficient and versatile technology for lighting and display devices. Perovskite-based LEDs allow for tunable light emission and can be manufactured at low cost and with flexible fabrication technology. These advantages make them suitable for use in devices ranging from modern displays to wearable electronics. Despite their potential, solving problems such as material stability and industrial scale is one of the current challenges …

Methodology For Creating An Intelligent Mechatron Module Based On A Synergistic Approach, Nurbek Rustamovich Matyokubov, Temurbek Omonboyevich Rakhimov

Technical science and innovation

This article is devoted to the methodology of creating an intelligent mechatron module based on a synergistic approach. Creating a multi-coordinate intelligent mechatron module and expanding the functional capabilities of the controlled object based on them, allows to optimize the dynamic characteristics. Also, the methodology for creating an intelligent mechatronic module based on a synergistic approach allows for the integration of electrical, magnetic, and mechanical components into a single circuit, the integration of technical parameter modification, and the integration of processing functions into a single information-measuring module. In addition, the article proposes a Eurorhythm scheme for expressing how …

Investigation Of Technological Processes In Laboratory Conditions For The Elimination Of Well Flooding, Tolib Olimovich Komilov

Technical science and innovation

Currently, the main priority task in the world in the field of drilling is the isolation of water flows and levitation of well flooding in order to improve the technical and economic indicators of drilling and well operation. The article considers the process of eliminating well complications, which is considered an important process in particular when choosing cement slurries and the main methods for determining their physical and mechanical properties. In creating an experimental stand, computer and information technologies were used that provide automation, control, analysis of data and decision-making using computer commands when conducting an experimental study on the …

Optimization Of Drilling And Blasting Parameters Taking Into Account The Physical And Mechanical Properties Of Rocks And Characteristics Of Blast Load, Shuhratulla Atoevich Ochilov

Technical science and innovation

This article provides a detailed study of the physical and mechanical processes occurring during explosive crushing of rocks, with a special emphasis on the formation of cracks and changes in the granulometric composition of the massif. The main attention is paid to the influence of the blast loading parameters - the specific consumption of explosives (BC), charge diameter and line of least resistance (LLR) - on the average size and distribution of rock pieces. The distribution of the explosion energy for crushing, heat losses, seismic and impact effects, as well as the role of the energy transfer coefficient, depending on …

The Method Of Power Networks Mode Optimization In Basis Of Genetic Algorithm, Tulkin Shernazarovich Gayibov, Gulnaz Makhmutovna Turmanova

Technical science and innovation

One of the main tasks solved in planning short-term and managing operational modes of electric power systems (EPS) is the optimization of their network modes on the adjustable parameters. For modern complex EPS, this task is often characterized by the multi-extremality of the objective function, the appearance of discontinuous functions, the presence of initial information of a probabilistic and partially uncertain nature. In such conditions, solving the problem by traditional algorithms using mainly linear and nonlinear programming methods, Lagrange, gradient, etc., is associated with a number of difficulties in simplifying them and bringing them to a convenient form for calculations. …

Exploring The World Of Medical Exoskeleton Robots: A Classification Guide, Javlonbek Rakhmatillaev, Vytautas Bučinskas

Technical science and innovation

This article describes the classification of exoskeletons. This classification is based on the use of exoskeletons in the medical field, shape, power source, generation, parts related to the human body, structural material, and control forms based on sensor and actuator devices. In addition, examples of each category are given. The main goal is to comprehensively evaluate medical exoskeletons, pay special attention to their functions and goals, conduct scientific research, and further develop these devices. As a result, a completely new type of classification of medical exoskeletons was developed. The developed new type of classification serves as an important guide in …

Monitoring Slope Displacements At The Kalmakyr Open-Pit Mine Using Gnss And Gamit/Globk Processing, Aziz Nigmanovich Kazakov, Dilbarkhon Hamuradovna Fazilova, Nursulton Abdulmajit Ugli Khamitov

Technical science and innovation

The article presents a monitoring system based on the Global Navigation Satellite System (GNSS) for assessing deformations in mining areas. The study was conducted at the Kalmakyr open-pit mine, where a network of seven GNSS stations was installed in the most geologically vulnerable zones. Four static measurement cycles were carried out between 2024 and 2025. High-frequency 3D data were processed using the GAMIT/GLOBK software. The analysis showed that displacements in active areas reached 68 mm horizontally and 31 mm vertically.

Study Of Physical And Mechanical Properties Of Composite Materials Obtained From Wood Industry Waste, Adkhamjon Rustamovich Makhkamov, Samandarbek Kahramonjon Ugli Sodikjonov, Yorqinjon Tulqin O'G'Li Ergashev, Elmurod Abdukodirovich Egamberdiev, Volodymyr V. Tkach

Technical science and innovation

This study looks at the serious problem of plastic waste causing pollution around the world. It focuses on how little polystyrene foam gets recycled. As a better option, the study checks out making and describing composite stuff made from wood waste, like poplar and paulownia sawdust. These natural fillings have cellulose, hemicellulose, and lignin, which let them stick well to plastic polymers like polyethylene (PE), polypropylene (PP), and polyvinyl chloride (PVC).

The composite materials were made using hot pressing. They were tested to see how dense, hard, strong, and impact-resistant they were, using GOST standards. The tests showed that adding …

Structural And Biological Properties Of Chitosan/Copper Polymetallic Complexes Synthesized From Apis Mellifera-Derved Chitosan, Dilnoza Sohibovna Isomitdinova, Gulnora Akmalovna Ikhtiyarova, Nazira Madusmanovna Kuchkarbayeva, Nafisa Akhrorovna Ergasheva

Technical science and innovation

In this study, a chitosan/copper (Ch/Cu²⁺) polymetallic complex was synthesized from chitosan obtained by the cryogenic method from Apis mellifera bees. The structural and physicochemical properties of the complex were investigated using FTIR, UV-Vis, XRD, TGA, and DLS analyses. FTIR spectra showed shifts in absorption bands at 1400-1339 cm⁻¹ and 1640-1550 cm⁻¹, confirming the coordination of Cu²⁺ ions with amino and hydroxyl groups. UV-Vis spectra revealed absorption peaks in the 410-540 nm range, while XRD analysis indicated new crystalline peaks at 2θ = 24°, 27°, and 37°. Thermal analysis demonstrated high thermal stability of the complex, and DLS confirmed a …

Improvement Of Ultrasonic-Convective Equipment And Beetroot (Beta Vulgaris L.) Drying Process, Jasur Esirgapovich Safarov, Shakhnoza Abduvaxitovna Sultanova, R. M. Najafli

Technical science and innovation

In the world, the air-dried food market is seeing rapid expansion, valued at USD 103.26 billion in 2021, out of which the Asia Pacific region consumed the maximum amount. The freeze-dried vegetable and fruit market is predicted to reach USD 132.7 billion by 2027. Processed vegetables are also exported to a large extent from India. Uzbekistan recorded excellent development in agriculture in 2024, with record harvests, better yields, and use of advanced machinery. Azerbaijan also demonstrated good agriculture growth and export performance. Beetroot has now been identified as a functional food containing bioactive compounds like betaines and dietary fiber that …

Development And Justification Of The Structurally-Free Rod Design For Composite Spindles Of Vertical-Spindle Cotton Picking Machines, Nortoji Baratovich Baratov

Technical science and innovation

At present, the light industry constitutes a significant share of the economies of leading countries around the world. Notably, the cotton industry holds a prominent position within the light industry sector. The cultivation of cotton fiber and the harvesting of mature crops without compromising fiber quality represent complex and delicate processes. In order to carry out these operations rapidly and efficiently, various cotton harvesting machines have been developed based on projects proposed by numerous researchers. Among these, the vertical spindle cotton picker is recognized as one of the earliest machines created for this purpose. Since its invention, the vertical spindle …

Structure And Principle Of Operation Of The Vibrational Pressing And Dehydration Unit For Semi-Soft Cheese, Qobiljon Akmal Ugl Muxiddinov, Shakhnoza Abduvaxitovna Sultanova, Azamat Bakir Ugli Usenov

Technical science and innovation

This paper investigates the structural design and operational principles of a vibrational pressing and dehydration unit developed for semi – soft cheese production. The equipment is engineered to optimize whey expulsion and moisture uniformity in curd blocks by combining mechanical pressure with controlled vibration. The unit comprises a stainless – steel vibrating chamber, drainage plates with micro – perforations, and an adjustable frequency–amplitude control system. Vibrations in the range of 20–60 Hz are applied during pressing, promoting more efficient capillary flow and enhancing the separation of whey from curd particles. The process ensures uniform density and texture across the cheese …

Comparative Assessment Of Battery And Hydrogen Energy Storage In A Grid-Connected Heat-Electricity Integrated Microgrid, Naglaa Elsherbiny, Mohamed Elgamal, Islam Ismael, Akram Elmitwally

Mansoura Engineering Journal

Given the significant challenges of conventional power systems, including high emissions and operational costs, transitioning to microgrids (MGs) is increasingly critical. This paper presents a comprehensive evaluation of three energy management strategies for a grid-connected, heat-electricity integrated MG: (i) a base case without storage, (ii) a battery-based energy storage system (B-BESS), and (iii) a hydrogenbased energy storage system (H-BESS) comprising an electrolyzer (ELC), hydrogen tank (HT), and fuel cell (FC). This study optimizes operational profit and emissions reduction by integrating renewable energy and heat recovery mechanisms. Simulation results show that, compared to the base case, both B-BESS and H-BESS significantly …

Synergistic Effects Of Orifice Geometry And Inclination Angle On The Damping Performance Of Tuned Liquid Column Vibration Absorbers, Mohamed M. Abou Elenin, Younes K. Younes, Mohamed F. Younes

Mansoura Engineering Journal

This study experimentally investigates the dynamic damping performance of passive tuned liquid column vibration absorbers (TLCVAs), focusing on the influence of vertical column inclination angle and orifice disc configuration. Free vibration tests were conducted on a primary system equipped with a TLCVA using a custom-designed test rig. The experimental framework systematically varied inclination angles from to and tested both single-hole and multi-perforated orifice discs, each designed with an equivalent total flow area. A MATLAB-based signal processing framework was employed to analyze time-domain responses, and the logarithmic decrement method was applied to determine the damping ratio of the primary system. The …

Climate Change Projections Through Optimized Machine Learning And Deep Learning Models: A Comprehensive Analysis, Hala H. Youssef, Salma S. Mohammed, Hanan M. Amer, Abeer T. Khalil

Mansoura Engineering Journal

One major worldwide issue that has far-reaching effects on environmental stability and the avoidance of natural disasters is climate change. Developing efficient mitigating strategies depends on precise climate change forecasts. To predict important climate change indicators, including temperature fluctuations, greenhouse gas (CO2, N2O, CH4, and SF6) emissions, population dynamics, sea level changes, Arctic Sea ice extent, and Antarctica mass, this study evaluated the predictive capabilities of several Machine Learning (ML) and Deep Learning (DL) techniques. The set of machine learning algorithms includes Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN), Support Vector Machines (SVMs), Artificial Neural Networks (ANN), Random Forest (RF), …

Empirical Methods For Support System Design In Deep Serpentinite Excavations: A Critical Evaluation, Anas Driouch, Redouane Oubah, Abdelaziz Lahmili, Latifa Ouadif

Journal of Sustainable Mining

Underground mining excavations in fragile serpentinite rock masses represent a significant challenge today. The complicated features of these rock formations, especially at great depths, make it difficult to classify them using commonly employed methods. This paper focuses on the application of empirical methods for the classification of serpentinite rock masses and the design of support systems in underground mining excavations. Specifically, it concerns an access tunnel excavated entirely in serpentinite at a depth of 460 m. Geomechanical classification systems indicate that the Tunnelling Quality Index (Q-system) and Rock Mass Rating (RMR) evaluate serpentinites as rock masses of exceptionally poor to …

Evaluation Of Different Design Standards For The Design Of Axial Loaded Concrete Filled Steel Tube Columns Under Fire, Ebtsam Youssef Ibrahim Abd El Ghaffar, Nabil Said Mahmoud, Fikry A. Salem, Mohammed. M. Ghannam

Mansoura Engineering Journal

This paper compares various codes and standards for the behavior of “Concrete-Filled Steel Tubes” (CFST) columns under fire and axial load. The codes evaluated include European standards (EC4.2 and EC3.2), the American standard (AISC 360), and the Australian standard (AS/NZS 2327). The fire resistance of Concrete-Filled Steel Tubular (CFST) and steel hollow (SH) columns was assessed using a computer program developed with Visual Studio .NET. The program's results were compared with previous experimental data to evaluate the accuracy of various codes and standards in predicting the behavior of these columns under fire conditions. This study highlights the importance of selecting …

Performance Analysis Of Power System Dynamic Stability Of The Nigerian 330kv Transmission Network, Charles Evuarherhe Ikeyin, Benjamin Olabisi Akinloye

Al-Bahir

Nigeria's power sector faces persistent challenges, including dynamic instability, poor voltage regulation, and frequent grid collapses, primarily driven by reactive power deficits and transmission distances exceeding 200 km in northern regions. To bridge critical research gaps, this study employs a rigorous, multi-method approach through comprehensive EMTP-RV (Electromagnetic Transients Program) analysis of Nigeria’s 330kV 52-bus grid, PV curve-based vulnerability indexing to identify cascade-critical buses, and a novel Cost-benefit Pareto framework for optimal capacitor placement. Methodology was validated against IEEE (Institute of Electrical and Electronics Engineers) 14-bus benchmarks. Validated against IEEE 14-bus benchmarks, simulations revealed severe voltage instability in northern …