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Aerial Refueling Scheduling Plan Generation Method For Multi-Position Task Management *, Jiachen Hu, Huanyu Li Oct 2026

Aerial Refueling Scheduling Plan Generation Method For Multi-Position Task Management *, Jiachen Hu, Huanyu Li

Journal of System Simulation

Abstract: An aerial refueling scheduling plan generation method based on hierarchical hybrid strategy is proposed to address the high complexity of aerial refueling scheduling for multi-position tasks and the difficulty for traditional manual operations or single-position-oriented solutions to manage tasks effectively. A multi-level strategic framework based on fixed-rule heuristics, rolling horizon optimization, and steady-state cyclic scheduling is developed and integrated into a hierarchical hybrid strategy to balance scheduling efficiency, optimization capability, and emergency response capability. Simulation results demonstrate that the proposed method effectively generates feasible refueling scheduling plans, producing viable plans under both undisturbed rotational operations and disturbed dynamic support …

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Flight Test Mission Planning Method Based On Adaptive Large Neighborhood Search, Luofu Wu, Xinyang Wu, Lunhao Ju, Guopeng Song, Rui Wang, Jiang Jiang Oct 2026

Flight Test Mission Planning Method Based On Adaptive Large Neighborhood Search, Luofu Wu, Xinyang Wu, Lunhao Ju, Guopeng Song, Rui Wang, Jiang Jiang

Journal of System Simulation

Abstract: Flight test mission planning is critical to aircraft performance evaluation, but traditional manual methods often struggle with extensive solution spaces and complex constraints. This paper constructs an overall flight test mission planning model and introduces a flight test planning algorithm (FTPA) based on adaptive large neighborhood search. FTPA utilizes Kahn topological sorting to generate an initial test-item priority sequence, which is then decoded into an initial solution, and jointly schedules flight test items and test aircraft within the adaptive large neighborhood search framework. A comparison with the CPLEX solver shows that the FTPA algorithm yields solutions with a gap …

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Large Language Model-Assisted Control Framework For Mixed Remote Sensing Satellite Constellations, Guohua Wu, Ziyan You, Lei Li, Yi Gu, Shuanglin Li Oct 2026

Large Language Model-Assisted Control Framework For Mixed Remote Sensing Satellite Constellations, Guohua Wu, Ziyan You, Lei Li, Yi Gu, Shuanglin Li

Journal of System Simulation

Abstract: A LLM-assisted control framework for mixed remote sensing satellite constellations is proposed to address the problem that the control and scheduling of mixed remote sensing satellite constellations cannot process users' raw natural language observation requirements and realize full-process automation from requirement input to scheduling schemes. LLMs are utilized to enhance the construction of domain knowledge graphs, requirement understanding and task characterization, and realize intelligent generation of scheduling schemes and optimal solution of scheduling models. A scheduling scheme generation method based on the "planning and execution" dual-Agent architecture is designed. Combined with the constellation scheduling toolset, the capability boundary of …

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On-Orbit Refueling Mission Planning Of Satellites Based On Improved Nsga-Ii, Guozheng Li, Rui Wang, Yi Lu Oct 2026

On-Orbit Refueling Mission Planning Of Satellites Based On Improved Nsga-Ii, Guozheng Li, Rui Wang, Yi Lu

Journal of System Simulation

Abstract: An improved NSGA-II solution framework based on multi-tree encoding is proposed to address the problems of high modeling complexity under large-scale scenarios and the tendency of traditional algorithms to fall into local optima. Based on multi-tree modeling, the complex mixed-integer programming problem is transformed into a multi-tree configuration optimization problem, thus reducing the constraint handling difficulty and improving the search efficiency of the solution space. Multi-tree crossover and mutation operators as well as the calculation method for objective functions are designed. A large neighborhood search (LNS) strategy is introduced, and the global exploration and local exploitation capabilities of the …

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High-Fidelity Dynamic Digital Twin Modeling Method For Permanent Magnet Synchronous Motor, He Lai, Jinquan Yang, Cong Peng, Bei Li Oct 2026

High-Fidelity Dynamic Digital Twin Modeling Method For Permanent Magnet Synchronous Motor, He Lai, Jinquan Yang, Cong Peng, Bei Li

Journal of System Simulation

Abstract: Conventional mechanism models often suffer from model mismatch due to the absence of nonlinear mechanical damping representation and the dynamic drift of electromagnetic parameters. To address this issue, a high-fidelity dynamic digital twin modeling method for permanent magnet synchronous motors is proposed. In the static mechanism modeling dimension, a friction energy decoupling strategy is proposed, which fundamentally overcomes the inherent conflict between steady-state accuracy and transient response from a physical logic perspective. For dynamic model updating, a distributed cascaded sensing architecture based on the multi-innovation recursive least squares and extended Kalman filter (MIRLS-MIEKF) algorithms is proposed. This architecture enables …

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Scheduling Optimization For Cascaded Hybrid Flow Shop Integrating Llm And Rl, Fuqing Zhao, Bin Wu, Tianpeng Xu, Ningning Zhu, Houbin Song, Yukai Yao Oct 2026

Scheduling Optimization For Cascaded Hybrid Flow Shop Integrating Llm And Rl, Fuqing Zhao, Bin Wu, Tianpeng Xu, Ningning Zhu, Houbin Song, Yukai Yao

Journal of System Simulation

Abstract: For the cascaded hybrid flow shop scheduling problem with AGV transportation, a multiobjective optimization model is built to minimize the makespan and total energy consumption. A hybrid algorithm framework integrating the LLM, covariance matrix adaptation evolution strategy, and RL strategy selection mechanism is proposed. LLMs are employed to generate heuristic priority rules and construct high-quality initial solutions. Covariance matrix adaption evolution strategy is adopted to optimize the search in continuous priority space, and an enhanced scalar fitness function integrating hypervolume gain and solution diversity is introduced. An RL strategy selection module based on the upper level information boundary is …

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Q-Learning Enhanced Memetic Algorithm For Robust Scheduling Of Space Launch Missions, Rui Lin, Xiaolu Liu, Yonghao Du, Mingyang Geng, Zhenshun Shi Oct 2026

Q-Learning Enhanced Memetic Algorithm For Robust Scheduling Of Space Launch Missions, Rui Lin, Xiaolu Liu, Yonghao Du, Mingyang Geng, Zhenshun Shi

Journal of System Simulation

Abstract: A robust optimization mathematical model and an enhanced memetic algorithm (MA) for space launch mission scheduling are proposed to address the practical challenges in space launch mission scheduling under the influence of multiple uncertainties such as equipment failure, process rework due to quality issues, and technological changes. A robust optimization scheduling model for space launch missions is built by integrating the makespan under the worst-case scenario, the average maximum makespan, and the average deviation of process start times. A Q-learning enhanced memetic algorithm (QMA) is proposed, which can dynamically select parent solutions based on the population state. Simulation experiments …

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A Performance-Based Indicator Framework For Assessing Innovative Materials In Modular Emergency Shelters, Riham Nady Faragallah, M. S. Refaey, Naglaa M. Yussuf, Riham S. Hassan Oct 2026

A Performance-Based Indicator Framework For Assessing Innovative Materials In Modular Emergency Shelters, Riham Nady Faragallah, M. S. Refaey, Naglaa M. Yussuf, Riham S. Hassan

HBRC Journal

In recent years, the increasing intensity of disasters, conflicts and mass displacement has amplified the need for emergency shelters that are rapidly deployable, structurally safe, and thermally comfortable, particularly when delivered through prefabricated modular systems. The recent development of innovative materials—including smart, recycled, bio-based, and 3D-printed composites—has demonstrated considerable potential for improving emergency shelter performance. However, existing studies primarily evaluate these materials individually, with limited efforts to integrate them into a comprehensive performance-based decision framework for modular emergency shelters. This research aims to develop a performance-based indicator framework for evaluating and selecting innovative materials to enhance the safety, comfort, durability, …

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Two-Stage Stochastic Programming For Resource Allocation In Mobile Underwater Acoustic Networks, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi Oct 2026

Two-Stage Stochastic Programming For Resource Allocation In Mobile Underwater Acoustic Networks, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi

Research outputs 2022 to 2026

Underwater Acoustic Networks (UANs) enable long-range communication for a range of applications. However, UANs are severely limited by scarce acoustic spectrum, which is shared with marine animals and can lead to disruptive interference, contributing to anthropogenic ocean noise. In addition, the underwater environment is highly dynamic, where: marine-animal presence is uncertain, channel conditions fluctuate, and Doppler effects degrade communication reliability. Prior UAN studies have addressed these challenges separately, despite their combined effect on resource allocation. Accordingly, this paper proposes a two-stage Scenario-based Stochastic Programming (SSP) framework with a hybrid risk approach that jointly treats these challenges within a single resource …

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Adaptive Improved Particle Swarm Optimization-Based Maximum Power Point Tracking And Energy Smoothing For Photovoltaic Hybrid Battery–Supercapacitor Storage Systems, Mohammad Aminul Islam, Guo Shaokai, Jakaria Mahdi Imam, Mohammad Khairul Basher, Nowshad Amin, Tarek Abedin, Mohammad Nur-E-Alam Oct 2026

Adaptive Improved Particle Swarm Optimization-Based Maximum Power Point Tracking And Energy Smoothing For Photovoltaic Hybrid Battery–Supercapacitor Storage Systems, Mohammad Aminul Islam, Guo Shaokai, Jakaria Mahdi Imam, Mohammad Khairul Basher, Nowshad Amin, Tarek Abedin, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

The rapid development of photovoltaic (PV) systems has made them an important component of the global clean energy strategy. However, the intermittency and non-linear characteristics of photovoltaic (PV) output remain major challenges for stable renewable energy utilization. This study proposes an adaptive improved particle swarm optimization (IPSO)-based maximum power point tracking (MPPT) strategy integrated with hybrid energy storage coordination for photovoltaic systems. The IPSO introduces adaptive inertia adjustment, velocity clamping, and stagnation reinitialization, which improve the convergence robustness under dynamic irradiance and temperature conditions. The algorithm was benchmarked against Perturb & Observe (P&O), Incremental Conductance (INC), and standard PSO using …

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Electrocatalytic Oxidation Of Ethylene Glycol To Glycolic Acid: From Mechanism And Catalyst Design To Emerging Neutral Electrolyte Systems, Man Zhang, Xue Li, Xin-Yu Peng, Lin Wang, Wen-Wen Chen, Yao-Yue Yang Oct 2026

Electrocatalytic Oxidation Of Ethylene Glycol To Glycolic Acid: From Mechanism And Catalyst Design To Emerging Neutral Electrolyte Systems, Man Zhang, Xue Li, Xin-Yu Peng, Lin Wang, Wen-Wen Chen, Yao-Yue Yang

Journal of Electrochemistry

Polyethylene terephthalate (PET) waste represents both an environmental burden and a loss of carbon resources. Alkaline depolymerization of PET yields terephthalic acid and ethylene glycol (EG). Electrocatalytic oxidation of EG to glycolic acid (GA), the monomer of biodegradable polyglycolic acid (PGA), offers a sustainable route driven by renewable electricity. However, the ethylene glycol oxidation reaction (EGOR) involves competing pathways toward C2 products (GA and oxalic acid) and C1 products (formic acid and CO2), making selective GA production a central challenge. This review provides a comprehensive overview of recent progress in selective EG-to-GA electrooxidation from catalyst design, mechanistic understanding, …

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Regularization-Based Crystallite Size Distribution Analysis Of Pt/C Catalysts From X-Ray Diffraction, Cheng-Long Ma, Wei-Yu Shi, Zhong-Jun Hou Oct 2026

Regularization-Based Crystallite Size Distribution Analysis Of Pt/C Catalysts From X-Ray Diffraction, Cheng-Long Ma, Wei-Yu Shi, Zhong-Jun Hou

Journal of Electrochemistry

Accurate determination of the platinum crystallite size distribution in carbon-supported platinum (Pt/C) catalysts is critical for evaluating both the initial performance and long-term durability of proton exchange membrane fuel cells (PEMFCs). Conventional characterization approaches—including transmission electron microscopy (TEM), small-angle X-ray scattering (SAXS), and the Scherrer equation—are limited by restricted statistical sampling, sensitivity to support interference, or the inability to resolve the full breadth of the size distribution. In this work, we present a regularization-based inversion framework that extracts the volume-weighted crystallite size distribution directly from X-ray diffraction (XRD) line profiles, without requiring any a priori assumption regarding the functional form …

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Metal Oxide Semiconductor Gas Sensors For Exhaled Breath Cancer Biomarker Detection, Guang-Lan Chen, Hui-Hui Luo, Wen-Wen Peng, Shi-Yu Xu, Yu-Ting Li, Hui-Jie Ke, Si-Hui Zhong, Jia-Ao Wei, Tong Chen, Xiao-Kun Li, You-Lin Zhang, Wei Chen Oct 2026

Metal Oxide Semiconductor Gas Sensors For Exhaled Breath Cancer Biomarker Detection, Guang-Lan Chen, Hui-Hui Luo, Wen-Wen Peng, Shi-Yu Xu, Yu-Ting Li, Hui-Jie Ke, Si-Hui Zhong, Jia-Ao Wei, Tong Chen, Xiao-Kun Li, You-Lin Zhang, Wei Chen

Journal of Electrochemistry

Early cancer screening can significantly improve therapeutic outcomes, volatile organic compounds (VOCs) and other related gases in exhaled breath, as cancer-specific biomarkers, offer a novel approach for non-invasive diagnosis. Metal oxide semiconductor (MOS)-based gas sensors are pivotal for exhaled breath VOCs detection, featuring compact size, cost-effectiveness, and rapid response. This review summarizes the most recent five-year research advances in cancer biomarker detection, and clarifies the core mechanisms of electrical property changes from sensing material-VOCs interactions and key performance metrics including sensitivity, selectivity, humidity tolerance, response/recovery time, stability, and operating temperature. This review also highlights the optimization strategies of sensing materials …

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Influence Of Particle Properties And Grain Size On Aggregation In Dry Particle-Laden Volcanic Jets, Md Miraz Hossain, Stephen A. Solovitz, Josef Dufek, Joshua S. Mendez Harper, Alexa R. Van Eaton, Mary C. Benage, Larry G. Mastin, Benjamin J. Andrews Oct 2026

Influence Of Particle Properties And Grain Size On Aggregation In Dry Particle-Laden Volcanic Jets, Md Miraz Hossain, Stephen A. Solovitz, Josef Dufek, Joshua S. Mendez Harper, Alexa R. Van Eaton, Mary C. Benage, Larry G. Mastin, Benjamin J. Andrews

Electrical and Computer Engineering Faculty Publications and Presentations

Explosive volcanic eruptions can inject large amounts of ash into the atmosphere. These suspended particles pose hazards to aircraft, so a better understanding of the ash residence time and transport distance is needed. Fine particles combine to form larger aggregates, altering their settling behavior. Ash aggregation is influenced by liquid bonding, electrostatic forces, and preferential concentration driven by turbulence. We examine particle aggregation through controlled, low-humidity experiments at similar particle-fluid scaling to conditions near a volcanic vent. Particle-laden jets used compressed air containing three types of particles at controlled mass loadings: hollow glass spheres (∼10 μm diameter), solid nickel spheres …

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Beyond Probability: An Analytical Exploration Of Fuzzy And Neutrosophic Paradigms In Binomial Acceptance Sampling, Uma G, Vela Muruga Anurahini P Oct 2026

Beyond Probability: An Analytical Exploration Of Fuzzy And Neutrosophic Paradigms In Binomial Acceptance Sampling, Uma G, Vela Muruga Anurahini P

Neutrosophic Systems with Applications

Acceptance sampling plans are widely used in Statistical Quality Control to determine the acceptance or rejection of production lots based on sample inspection. Classical sampling plans under the binomial distribution assume precise parameter values, which may not adequately represent uncertainty, vagueness, and indeterminacy encountered in practical inspection environments. This review summarizes acceptance probability formulations for single and double sampling plans developed using fuzzy and neutrosophic logic under the binomial distribution. The focus is on studies that model the fraction defective and related parameters as fuzzy or neutrosophic numbers, allowing imprecise and indeterminate quality information to be incorporated into sampling decisions. …

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Reliability-Calibrated Q-Rung Orthopair Neutrosophic Soft Ranking Under Partial Observability: An Auditable Industrial-Process Benchmark, Nagham Ahmed Abdelmegeed, Zeshan Aslam Khan Oct 2026

Reliability-Calibrated Q-Rung Orthopair Neutrosophic Soft Ranking Under Partial Observability: An Auditable Industrial-Process Benchmark, Nagham Ahmed Abdelmegeed, Zeshan Aslam Khan

Neutrosophic Systems with Applications

Multi-criteria decision systems often interpret disagreement among criteria as evidence that some criteria are unreliable. This is problematic when the disagreement reflects a genuine operational trade-off. We develop a reliability-and-admissibility-calibrated q-rung orthopair neutrosophic soft ranking procedure (RAC-qRON) that distinguishes recorded evidence quality from the direction of criterion preferences. An explicitly bounded interval for each alternative–criterion observation is mapped to truth, indeterminacy and falsity memberships, with an admissibility proof for every integer rung q ≥ 1. Criterion weights are adjusted according to recorded information coverage rather than cross-criterion correlation, and a fixed-reference ideal-distance calculation produces an auditable rank. The method is …

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Risk Prioritization Of ``Digital Drug'' And Consumer Neurostimulation Modalities: A Reproducible Interval-Valued Fermatean Fuzzy Entropy–Topsis Framework, Rawan Emad El-Saadany, Ahmed Samy, Mohamed M. Abdelhafeez, Mahmoud M. Ismail Oct 2026

Risk Prioritization Of ``Digital Drug'' And Consumer Neurostimulation Modalities: A Reproducible Interval-Valued Fermatean Fuzzy Entropy–Topsis Framework, Rawan Emad El-Saadany, Ahmed Samy, Mohamed M. Abdelhafeez, Mahmoud M. Ismail

Neutrosophic Systems with Applications

Consumer audio and multisensory stimulation technologies are increasingly accessible through streaming platforms, mobile applications, and immersive media. The expression digital drug is sometimes used for binaural-beat content intended to alter subjective states, but the term is a consumer/cultural label and does not imply pharmacological equivalence. Risk prioritization in this area is difficult because evidence is heterogeneous, several relevant criteria are qualitative, and judgments may be imprecise rather than point-valued. This paper develops a transparent interval-valued Fermatean fuzzy (IVFF) group decision framework that combines interval-preserving aggregation, Shannon entropy weighting, and TOPSIS for prioritizing digital drug risk scenarios under uncertainty. The method …

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Risk-Based Cybersecurity Threat Prioritization In Digital Twin-Enabled Cyber-Physical Systems, Nada Mohamed, Alshaimaa A. Tantawy, Ahmed M. Abdelmouty Oct 2026

Risk-Based Cybersecurity Threat Prioritization In Digital Twin-Enabled Cyber-Physical Systems, Nada Mohamed, Alshaimaa A. Tantawy, Ahmed M. Abdelmouty

Neutrosophic Systems with Applications

Digital Twin (DT)-enabled cyber-physical systems (CPS) face cybersecurity risks due to their complex connections and high levels of interdependence. Traditional methods, for assessing risk often fail to rank these threats. This is especially true when expert opinions include ambiguity, uncertainty or unclear information. A Type 2 Neutrosophic Entropy– Measurement of Alternatives and Ranking according to COmpromise Solution (Entropy- MARCOS) framework for cybersecurity threat prioritization in DT-enabled CPS is proposed in this paper. The uncertainty and indeterminacy present in expert evaluations are represented by Type 2 Neutrosophic Numbers (T2NNs). While the MARCOS technique is used to assess and rank cybersecurity threats …

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Context-Regulated Q-Neutrosophic Soft Model Selection Under Input Perturbation: Evidence From Three Classification Benchmarks, Poom Kumam, Supak Phiangsungnoen Oct 2026

Context-Regulated Q-Neutrosophic Soft Model Selection Under Input Perturbation: Evidence From Three Classification Benchmarks, Poom Kumam, Supak Phiangsungnoen

Neutrosophic Systems with Applications

Selecting a classifier using a single average metric can conceal instability across validation splits, poor lower-tail behavior, and sensitivity to input perturbations. This study formulates a context-regulated Q-neutrosophic soft model-selection procedure with two fixed evaluation conditions. For each classifier and performance criterion, mean attainment (truth), across-split dispersion (indeterminacy), and the complement of a lower empirical quantile (falsity) form an auditable three-component descriptor. A bounded lower-context regulator aggregates their penalized utilities; monotonicity and perturbation bounds follow directly from its convex representation. Four fixed classifiers are compared using five benefit-oriented criteria, three repetitions of stratified five-fold cross-validation, and paired test-feature perturbations. Three …

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Comparative Performance Evaluation Of Generative Ai-Assisted Acoustic Tiles From Recycled Educational Waste, Nada Ahmed Talaat, Ahmed Mahmoud Elfakarany, Nihal Atif Salim Oct 2026

Comparative Performance Evaluation Of Generative Ai-Assisted Acoustic Tiles From Recycled Educational Waste, Nada Ahmed Talaat, Ahmed Mahmoud Elfakarany, Nihal Atif Salim

HBRC Journal

Noise pollution is increasingly recognized as a critical environmental challenge with direct implications on public health and well-being. In Egypt, data from the Egyptian Environmental Affairs Agency (EEAA, 2019) identify noise as the second most reported environmental concern, affecting both indoor and outdoor spaces. At the same time, the growing volume of waste generated on university campuses represents an underexploited resource for sustainable design. This study addresses these challenges by investigating how generative AI can serve as a design collaborator in suggesting high-performance acoustic tiles from recycled campus waste. Two AI-driven prototypes were developed through prompts emphasizing acoustic absorption, aesthetic …

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Comprehensive Variable-Temperature Raman And Spectroscopic Ellipsometry Investigation Of Bulk Undoped, Fe-Doped, And Ge-Doped Gan: Correlated Phonon, Carrier, Optical, And Disorder Dynamics, Manika Tun Nafisa, Sm Atiqur Rahman, Zhe Chuan Feng, Sandip Das, James N. Hilfiker, Nina Jong, Ian T. Ferguson, Benjamin Klein Oct 2026

Comprehensive Variable-Temperature Raman And Spectroscopic Ellipsometry Investigation Of Bulk Undoped, Fe-Doped, And Ge-Doped Gan: Correlated Phonon, Carrier, Optical, And Disorder Dynamics, Manika Tun Nafisa, Sm Atiqur Rahman, Zhe Chuan Feng, Sandip Das, James N. Hilfiker, Nina Jong, Ian T. Ferguson, Benjamin Klein

Faculty Articles

Bulk gallium nitride (GaN) substrates with controlled electrical compensation and doping are foundational materials for high-power electronics, optoelectronics, and emerging spintronic devices. Despite extensive studies on epitaxial GaN thin films, a complete and correlated understanding of crystal, phonon, free-carrier, birefringence, optical, and disorder-driven processes in high-quality bulk GaN crystals remains limited. In this work, a comprehensive temperature-dependent (25–300 °C) investigation of free-standing bulk undoped, Fe-doped, and Ge-doped GaN substrates using Raman spectroscopy, spectroscopic ellipsometry (SE), and atomic force microscopy (AFM) has been presented. A detailed analysis of phonon evolution, apparent Raman-shift-derived biaxial stress and in-plane strain, longitudinal optical phonon–plasmon coupling …

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Propuesta Metodológica Para La Evaluación De La Pobreza Energética En Chiapas, México, Mario Alejandro Sánchez Trujillo, Pascual López De Paz, Marcelino García Benítez, Amina El Mekaoui, Bassam Alí, Jesús Francisco Escalante Euán Oct 2026

Propuesta Metodológica Para La Evaluación De La Pobreza Energética En Chiapas, México, Mario Alejandro Sánchez Trujillo, Pascual López De Paz, Marcelino García Benítez, Amina El Mekaoui, Bassam Alí, Jesús Francisco Escalante Euán

Journal of Maya Heritage

Resumen. El acceso inequitativo e insuficiente a servicios energéticos de calidad constituye uno de los principales obstáculos para el desarrollo socioeconómico y el bienestar humano en México, siendo el estado de Chiapas una de las entidades con mayor vulnerabilidad socioambiental. Este trabajo presenta una propuesta metodológica cuantitativa y geoespacial para evaluar la pobreza energética de las siete subprovincias fisiográficas de Chiapas. La metodología combina datos de censos de población y vivienda 2020 (INEGI), la estandarización Min-Max, el análisis de correlación de Pearson y el análisis de componentes principales (PCA) para la construcción de un índice de pobreza energética (IPE) multidimensional. …

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Forging “The Backbone Of The Blue Sky”: Pathways For Enhancing Independent Innovation Capability Of China’S Commercial Aircraft Industry, Qianshu Shi, Chao Zhang, Quan Cheng Oct 2026

Forging “The Backbone Of The Blue Sky”: Pathways For Enhancing Independent Innovation Capability Of China’S Commercial Aircraft Industry, Qianshu Shi, Chao Zhang, Quan Cheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

Advancing indigenous innovation in China’s commercial aircraft industry is essential for strengthening the country’s high-end equipment manufacturing capabilities and enhancing the technological self-reliance of its aviation sector. China has achieved notable progress in key technological breakthroughs, industrial system development, and commercial operational validation. Nevertheless, gaps remain between China and the world’s leading aviation powers, owing primarily to an insufficient supply of original advances from fundamental research, underdeveloped mechanisms linking collaborative innovation activities, limited capacity for the independent iteration of core systems, and inadequate accumulation of lifecycle data. Strengthening fundamental aeronautical research is therefore critical to overcoming these constraints. Drawing on …

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Breaking Through Bottleneck In Overseas Expansion Of China’S Commercial Aircraft: Pathways For Business Model Innovation, Mengru Dong, Chaofeng Huang, Chao Zhang Oct 2026

Breaking Through Bottleneck In Overseas Expansion Of China’S Commercial Aircraft: Pathways For Business Model Innovation, Mengru Dong, Chaofeng Huang, Chao Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The overseas expansion of China’s commercial aircraft is a strategic choice for building manufacturing power, transportation power, and aviation powerhouse. Business model innovation serves as a crucial means to enable these aircraft to overcome international competition barriers and accelerate their overseas expansion. Based on the analysis of the urgency of the overseas expansion of China’s commercial aircraft and the necessity of business model innovation, this study systematically reviews the main business models for the overseas expansion of global commercial aircraft, including the complete aircraft sales model, the collaborative operation model, and the full life cycle service model. Furthermore, based on …

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Current Status, Challenges, And Countermeasures For Airworthiness Certification Of China’S Large Homegrown Aircraft, Liming Ge, Mingda Yang, Zixuan Liu, Yichen Wang, Jing Deng Oct 2026

Current Status, Challenges, And Countermeasures For Airworthiness Certification Of China’S Large Homegrown Aircraft, Liming Ge, Mingda Yang, Zixuan Liu, Yichen Wang, Jing Deng

Bulletin of Chinese Academy of Sciences (Chinese Version)

The airworthiness certification of domestically produced large aircraft serves as both a crucial foundation for achieving self-reliance and independent control over China’s aviation industry chain and a key support for deep participation in the governance of global civil aviation rules. Currently, the airworthiness certification system has taken initial shape, localized infrastructure networks are gradually improving, and the benefits of a super-large market are continuously being realized, effectively facilitating the successful large-scale commercial operation of the C919 airplane. The development of domestic large aircraft families places greater demands on certification resource coordination and airworthiness management throughout the aircraft life cycle. However, …

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International Experiences, Lessons, And Implications For Development Of Commercial Aircraft Industry, Chaofeng Huang, Cuilin Wu Oct 2026

International Experiences, Lessons, And Implications For Development Of Commercial Aircraft Industry, Chaofeng Huang, Cuilin Wu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The commercial aircraft industry serves as a cornerstone for building a strong aviation country, a new engine driving economic growth, and a core carrier for upgrading the aviation industrial structure. Over more than 70 years of global industrial evolution, commercial aircraft development programs in most countries have encountered bottlenecks and withdrawn from the market, resulting in a duopoly dominated by the United States and Europe, which has accumulated abundant practical experience and historical lessons. At present, China’s commercial aircraft industry has entered a new phase of large‑scale production and international expansion. Nevertheless, it still faces challenges including bottlenecks in key …

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China’S Semiconductor Supply Chain Landscape And Strategies For Enhancing Global Competitiveness, Su Zhang, Ziyan Yang, Yifan Sun, Yan Xia, Huijuan Wang Oct 2026

China’S Semiconductor Supply Chain Landscape And Strategies For Enhancing Global Competitiveness, Su Zhang, Ziyan Yang, Yifan Sun, Yan Xia, Huijuan Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of accelerating global digital transformation, intelligent upgrades, and intensifying geopolitical competition, the semiconductor supply chain has become the focal point of global technological, economic, and security dynamics. This study systematically examines the evolution of the global semiconductor supply chain, assesses security risks in China’s semiconductor industry, and analyzes the impact of China-US semiconductor decoupling using a hypothesis extraction approach. Based on these findings, it proposes strategic pathways to enhance China’s semiconductor competitiveness. Key findings include the following: (1) The global semiconductor supply chain exhibits both “regional concentration” and “industry fragmentation”. The US and Europe dominate upstream segments, …

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Sensor Technologies And Integration Approaches For Smart Prosthetic Health Monitoring: A State-Of-The-Art Narrative Review, Mohammed Q. Abdulhasan, Jumaa S. Chiad, Firas M. Abdulghani Oct 2026

Sensor Technologies And Integration Approaches For Smart Prosthetic Health Monitoring: A State-Of-The-Art Narrative Review, Mohammed Q. Abdulhasan, Jumaa S. Chiad, Firas M. Abdulghani

AUIQ Technical Engineering Science

Transforming the residual-limb-socket interface from an intermittently evaluated ``black box'' into a monitored clinical setting that permits objective fit assessment, early danger detection, and better long-term prosthesis use is the aim of smart prosthetic health monitoring. This narrative exploration compiles peer-reviewed literature on sensing technology and, importantly, integration strategies that affect practical usability. Iterative searches by keywords and citation linking across major engineering and biomedical journal platforms were used to find literature, giving priority to current contributions while preserving important foundational works. The chosen studies were examined and classified based on (i) sensing modality (pressure/shear, temperature-humidity microclimate, chemical and perfusion-related …

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Synthesis Protocols For Solar Cell Materials From Laboratory Fabrication To Scalable Manufacturing, Ayad Abbood Abdulhasan, A. M. Mustafa, Mohanad Muzahem Khalaf Oct 2026

Synthesis Protocols For Solar Cell Materials From Laboratory Fabrication To Scalable Manufacturing, Ayad Abbood Abdulhasan, A. M. Mustafa, Mohanad Muzahem Khalaf

AUIQ Technical Engineering Science

Photovoltaic (PV) technology has evolved over seven decades from single-crystal silicon cells with modest efficiencies to a diverse portfolio of silicon, thin-film, and emerging solar-cell architectures approaching or exceeding thermodynamic single-junction limits when combined in tandem configurations. Device efficiency and long-term operational stability are governed not only by the choice of absorber material but, critically, by the synthesis protocol used to fabricate it the crystal-growth method, deposition technique, solvent system, thermal budget, and interface-engineering strategy all leave a lasting imprint on morphology, defect density, and carrier transport. This review provides a comprehensive, protocol-centered survey of solar-cell synthesis across three technology …

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Research On The Early Warning Model Of Online Public Opinion Risk Based On Cross-Social-Media Platforms, Tiejun Cheng, Tong Wang, Jianxiang Wei, Lanping Feng Oct 2026

Research On The Early Warning Model Of Online Public Opinion Risk Based On Cross-Social-Media Platforms, Tiejun Cheng, Tong Wang, Jianxiang Wei, Lanping Feng

Journal of Scientific Information Research

[Purpose/significance] Under the influence of cross-social media interactions, online public opinion can ferment simultaneously across different media platforms, deeply interact, and resonate multiple times, which is more likely to trigger a chain reaction of risks or even new types of risks. Therefore, it is significant to analyze the interactive influence of risks based on cross-social media public opinion data to promote the management of online public opinion towards preemptive prevention and early warning. [Method/process] Firstly, based on the analysis of the risk characteristics of cross-social media public opinion, a risk early warning indicator system for cross-social media online public opinion …

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