Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Gongcheng Kexue Yu Jishu/Advanced Engineering Science (ISSN: 2096-3246) is a bi-monthly peer-reviewed international Journal. Gongcheng Kexue Yu Jishu/Advanced Engineering Science was originally formed in 1969 and the journal came under scopus by 2017 to now. The journal is published by editorial department of Journal of Sichuan University. We publish every scope of engineering, Mathematics, physics.
Submission Deadline
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Vol
58
, Issue
02
)
22 Mar 2026
Day
Hour
Min
Sec
Day
Hour
Min
Sec
Publish On
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Vol
58
, Issue
02
)
31 Mar 2026
Scopus Indexed (2026)
Aim and Scope
Gongcheng Kexue Yu Jishu/Advanced Engineering Science (ISSN: 20963246) is a peer-reviewed journal. The journal covers all sort of engineering topic as well as mathematics and physics. the journal's scopes are in the following fields but not limited to:
Agricultural science and engineering Section:
Horticulture,
Agriculture,
Soil Science,
Agronomy,
Biology,
Economics,
Biotechnology,
Agricultural chemistry,
Soil,
development in plants,
aromatic plants,
subtropical fruits,
Green house construction,
Growth,
Horticultural therapy,
Entomology,
Medicinal,
Weed management in horticultural crops,
plant Analysis,
Tropical,
Food Engineering,
Venereal diseases,
nutrient management,
vegetables,
Ophthalmology,
Otorhinolaryngology,
Internal Medicine,
General Surgery,
Soil fertility,
Plant pathology,
Temperate vegetables,
Psychiatry,
Radiology,
Pulmonary Medicine,
Dermatology,
Organic farming,
Production technology of fruits,
Apiculture,
Plant breeding,
Molecular breeding,
Recombinant technology,
Plant tissue culture,
Ornamental horticulture,
Nursery techniques,
Seed Technology,
plantation crops,
Food science and processing,
cropping system,
Agricultural Microbiology,
environmental technology,
Microbial,
Soil and climatic factors,
Crop physiology,
Plant breeding,
Electrical Engineering and Telecommunication Section:
Electrical Engineering,
Telecommunication Engineering,
Electro-mechanical System Engineering,
Biological Biosystem Engineering,
Integrated Engineering,
Electronic Engineering,
Hardware-software co-design and interfacing,
Semiconductor chip,
Peripheral equipments,
Nanotechnology,
Advanced control theories and applications,
Machine design and optimization ,
Turbines micro-turbines,
FACTS devices ,
Insulation systems ,
Power quality ,
High voltage engineering,
Electrical actuators ,
Energy optimization ,
Electric drives ,
Electrical machines,
HVDC transmission,
Power electronics.
Computer Science Section :
Software Engineering,
Data Security ,
Computer Vision ,
Image Processing,
Cryptography,
Computer Networking,
Database system and Management,
Data mining, Big Data, Robotics ,
Parallel and distributed processing ,
Artificial Intelligence ,
Natural language processing ,
Neural Networking, Distributed Systems ,
Fuzzy logic, Advance programming,
Machine learning,
Internet & the Web,
Information Technology ,
Computer architecture,
Virtual vision and virtual simulations,
Operating systems,
Cryptosystems and data compression,
Security and privacy,
Algorithms,
Sensors and ad-hoc networks,
Graph theory,
Pattern/image recognition,
Neural networks.
Civil and architectural engineering :
Architectural Drawing,
Architectural Style,
Architectural Theory,
Biomechanics,
Building Materials,
Coastal Engineering,
Construction Engineering,
Control Engineering,
Earthquake Engineering,
Environmental Engineering,
Geotechnical Engineering,
Materials Engineering,
Municipal Or Urban Engineering,
Organic Architecture,
Sociology of Architecture,
Structural Engineering,
Surveying,
Transportation Engineering.
Mechanical and Materials Engineering :
kinematics and dynamics of rigid bodies, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, mechanics of continuum, strength of materials, fatigue of materials, hydromechanics, aerodynamics, thermodynamics, heat transfer, thermo fluids, nanofluids, energy systems, renewable and alternative energy, engine, fuels, nanomaterial, material synthesis and characterization, principles of the micro-macro transition, elastic behavior, plastic behavior, high-temperature creep, fatigue, fracture, metals, polymers, ceramics, intermetallics.Chemical Engineering :
Chemical engineering fundamentals,
Physical, Theoretical and Computational Chemistry,
Chemical engineering educational challenges and development,
Chemical reaction engineering,
Chemical engineering equipment design and process design,
Thermodynamics,
Catalysis & reaction engineering,
Particulate systems,
Rheology,
Multifase flows,
Interfacial & colloidal phenomena,
Transport phenomena in porous/granular media,
Membranes and membrane science,
Crystallization, distillation, absorption and extraction,
Ionic liquids/electrolyte solutions.
Food Engineering :
Food science,
Food engineering,
Food microbiology,
Food packaging,
Food preservation,
Food technology,
Aseptic processing,
Food fortification,
Food rheology,
Dietary supplement,
Food safety,
Food chemistry.
Physics Section:
Astrophysics,
Atomic and molecular physics,
Biophysics,
Chemical physics,
Civil engineering,
Cluster physics,
Computational physics,
Condensed matter,
Cosmology,
Device physics,
Fluid dynamics,
Geophysics,
High energy particle physics,
Laser,
Mechanical engineering,
Medical physics,
Nanotechnology,
Nonlinear science,
Nuclear physics,
Optics,
Photonics,
Plasma and fluid physics,
Quantum physics,
Robotics,
Soft matter and polymers.
Mathematics Section:
Actuarial science,
Algebra,
Algebraic geometry,
Analysis and advanced calculus,
Approximation theory,
Boundry layer theory,
Calculus of variations,
Combinatorics,
Complex analysis,
Continuum mechanics,
Cryptography,
Demography,
Differential equations,
Differential geometry,
Dynamical systems,
Econometrics,
Fluid mechanics,
Functional analysis,
Game theory,
General topology,
Geometry,
Graph theory,
Group theory,
Industrial mathematics,
Information theory,
Integral transforms and integral equations,
Lie algebras,
Logic,
Magnetohydrodynamics,
Mathematical analysis.
Latest Journals
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-27-09-2025-867
Abstract : In this paper, we propose a novel logistic regression-based framework for classifying nodes in Internet of Things (IoT) networks as either trusted or blackhole nodes. The model leverages multiple behavioral features of nodes, including packet delivery ratio, packet loss, energy efficiency, responsiveness, cooperation, and reliability. These features are linearly combined using model coefficients and processed through a sigmoid function to yield a probability score between 0 and 1. Based on a predefined threshold, nodes are classified as trusted if the probability exceeds the threshold, and as blackhole nodes otherwise. A detailed mathematical example is provided to illustrate the implementation of the model. To evaluate its effectiveness, the proposed framework is tested under simulated IoT network conditions, and its performance is analyzed using key metrics such as packet delivery ratio, packet loss, end-to-end delay, detection accuracy, and routing overhead. Results demonstrate that the model efficiently identifies malicious nodes and enhances overall network reliability and security, offering a lightweight and effective solution for real-time threat detection in resource-constrained IoT environments..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-20-09-2025-865
Abstract : Social media platforms are crucial spaces for discussing mental health issues. They can provide support systems but also act as risk factors for individuals experiencing distress. This paper proposes a system utilizing Bidirectional Encoder Representations from Transformers (BERT) to classify Reddit posts into mental health categories such as bipolar disorder, depression, anxiety, suicide, and others. The classifier is trained on posts collected from relevant subreddits, with preprocessing and feature extraction handled using NLP techniques. The results demonstrate the feasibility of using BERT-based models for classifying mental health indicators from text data. Furthermore, the paper proposes an application where social media platforms subtly adjust users’ feeds to promote positive content when signs of mental health distress are detected..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-20-09-2025-864
Abstract : This paper focuses on 150KW induction furnace employed with a reconfigured Series Resonant Converter (SRC) under faulty conditions. Resonant converter topologies have been popular for a few years in high-power transmission viz. medical, biotechnology, nuclear fusion. This network design is frequently utilized in solid-state transducers, where fault tolerance is an important feature that may be achieved through redundancy. Fault tolerance is an important element of power applications since it makes the system more reliable and available. A critical feature of any fault tolerance topology is the early detection of faults and their rectification or prevention. There are a variety of fault-tolerant topologies available in industry; however most of them rely on redundancy, which raises the cost and maintenance work. In an application with little or minimal redundancy, there is still room for improvement in terms of failure tolerance. The goal of the suggested topology is to increase efficiency while decreasing redundancy. It is frequently designed to accomplish converter fault tolerance by resetting the network during each failure, which may weaken the converter's performance but stops it from working. For example, induction furnaces are frequently used in a variety of industrial processes, including waste energy generation, metal melting, welding, and hardening. because fault-resistant topologies and high power under all circumstances are necessary for these jobs. Reconfiguration of the circuit under faulty conditions is examined in this project, so that a full bridge under faulty conditions is reconfigured as a half bridge for specialized applications such as an induction furnace, etc..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-28-06-2025-854
Abstract : The fire, caused by a short circuit, burned for about 15–30 minutes in a jewellery shop in Jodhpur. Rajasthan India. The fire brigade arrived 30 minutes later at the scene and brought the situation under control. After the fire, this case was carried out under the supervision of senior professors from MBM University Jodhpur along with research scholars. This study evaluates the residual strength of fire-damaged reinforced concrete structures using an analytical approach based on heat transfer principles, as outlined in Eurocode and ISO 834 standards. The time-temperature curve derived from the fire exposure equation demonstrates a temperature rise from 20°C to approximately 1455°C, highlighting the thermal effects on structural components. Simulation techniques and Rapid Visual Screening (RVS) methods were used to assess post-fire residual strength, revealing notable variations. The comparative analysis indicates that RVS generally predicts higher strength than simulation by Abaqus, except for components C3 and S1, where simulation results suggest greater residual strength. The largest deviation (+12.5 MPa) occurs in B1, where RVS significantly overestimates strength, while the most negative difference (-10.5 MPa) is found in S1, implying that RVS underestimates strength in certain cases. The correlation between temperature exposure and strength reduction emphasizes the need for integrated assessment methods. The findings underscore the necessity of combining RVS with simulation-based techniques for accurate post-fire structural evaluation. This approach enhances the reliability of damage assessment and informs effective repair, retrofitting, and rehabilitation strategies for fire-affected buildings..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-28-06-2025-853
Abstract : This literature review explores the current state, performance, challenges, and future directions of battery technologies used in electric vehicles (EVs). Batteries are a cornerstone of EV functionality, directly influencing their range, efficiency, and commercial viability. The review compares commonly used battery types—such as lithium-ion, nickel- metal hydride, and lead-acid—based on key performance metrics including energy density, cycle life, power output, and charging time. Recent advancements in battery materials and designs, including the use of nanotechnology, solid-state electrolytes, and alternative chemistries like aluminum-ion and lithium-sulfur, are also discussed. Furthermore, the environmental impacts of battery production, use, and disposal are evaluated. Key challenges, including cost, limited range, and charging infrastructure, are identified alongside research opportunities aimed at improving energy storage systems. The paper concludes with recommendations for continued innovation in battery technology to support the growing demand for sustainable and high-performance electric vehicles..
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