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
57
, Issue
11
)
04 Dec 2025
Day
Hour
Min
Sec
Day
Hour
Min
Sec
Publish On
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Vol
57
, Issue
10
)
30 Nov 2025
Scopus Indexed (2025)
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-20-09-2024-759
Abstract : The identification of emotions has become a significant research area in the current societal landscape, owing to its numerous applications. Facial expression recognition (FER) is one of them and is crucial in conveying emotional information about people. In recent years, the popularity of facial emotion recognition has grown, driven by the advancement of artificial intelligence. Usually, face pre-processing, including facial detection and alignment, contributes to the increased complexity of the facial emotion recognition (FER) classification process. However, in this paper, we simplify the process by concurrently addressing identification, recognition, and classification. Initially, the CK Plus dataset underwent manual annotation. Subsequently, facial expressions were analyzed using an endto-end Facial Emotion Recognition (FER) network named FER using YOLOv8. The architecture of FER using YOLO is derived from YOLOv8. The proposed model exhibits exceptional accuracy on the CK Plus and HFER datasets, with experimental findings revealing high detection performance (mAP50) ranging from 0.974 to 0.989 on the test datasets. Our method ensures both high accuracy and swift inference for Facial Emotion Recognition, demonstrated through real-time image testing with accurate results. Additionally, the model is validated for realtime FER using spontaneous images from a camera, showcasing its robust performance in dynamic scenarios..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-16-09-2024-758
Abstract : The rapid urbanization driven by population growth has impacted the current planning policies and strategies. This phenomenon necessitates a paradigm shift in urban development approaches. Recently, new terms have emerged, such as city resilience, responsive planning and city-wide approach. This paper aims to figure out and study these terms and their impact on the land use plan. The researcher used the informal settlements development and upgrading to framework the effect of city-wide planning on city resilience and how this could help to generate a responsive plan for these areas to mitigate the risks facing the local community, especially those of social, economic and environmental significance..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-23-08-2024-743
Abstract : This paper proposes a methodology leveraging Data Science and IoT to enhance precision farming practices in the old Mysuru region villages. The aim is to optimize agricultural yield and resource management through advanced technology integration. The proposed system utilizes IoT sensors for real-time data collection on soil parameters such as nutrient levels, moisture content, and temperature across 500 farm lands. These sensors, including the JXCT Soil NPK Sensor, facilitate continuous monitoring and data acquisition, overcoming the limitations of traditional periodic sampling. Data Science techniques are employed to analyze the collected data, utilizing machine learning algorithms to derive actionable insights. This analysis aids in understanding soil health dynamics, predicting crop yields, and optimizing fertilizer and water usage. The system also incorporates an Android-based mobile application for seamless data visualization, remote monitoring, and decision support for farmers. The block diagram illustrates the architecture of the proposed system, highlighting the integration of IoT devices, cloud-based data storage, and machine learning models. Data flows from the sensors to the cloud, where it undergoes preprocessing, analysis, and storage. Farmers access the processed information through the mobile app, enabling informed decision-making in real time. This approach aims to transform traditional farming practices into data-driven precision agriculture, enhancing productivity, sustainability, and economic viability in the old Mysuru region villages. The effectiveness of the proposed methodology is validated through the analysis of 500 datasets, demonstrating its potential to revolutionize agricultural practices in the region..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-03-08-2024-737
Abstract : The rapid expansion of 5G mobile communication networks, driven by the development of new services and mobile applications, is expected to increase the demand for frequency and bandwidth resources. This growing demand can lead to issues such as reduced speed and increased latency in future cellular networks. Non-Orthogonal Multiple Access (NOMA) is a promising method to address these challenges. NOMA strives to improve user equity, dependability, spectral efficiency, and connectivity, while simultaneously boosting data speeds, adaptability, and decreasing transmission delays. It also improves cell-edge throughput and overall network performance, making it an essential technology for the next generation of mobile networks. several methods have been developed based on the NOMA techniques, however ever increasing demand of mobile communication raised several challenges therefore a robust mechanism is required to deal with the performance related issues in 5G and 6G communication systems. In this work, we focus on these issues and introduced a novel and hybrid mechanism of NOMA where puncturing, interleaving and Turbo coding methods are combined together to develop a robust communication system for both uplink and downlink communication setups. Integrating Turbo codes with interleaving and puncturing in a NOMA 5G system enhances performance by mitigating burst errors, optimizing code rate for bandwidth efficiency, and providing robust error correction. This combination ensures advanced data rates, enhanced spectral efficiency, and improved the quality of service. A thorough experimental analysis is conducted to authenticate the effectiveness of the proposed model. The experimental analysis reveals that the proposed model outperforms existing cooperative, zero forcing (ZF) and maximal ratio combining (MRC) based NOMA systems..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-01-08-2024-736
Abstract : This study explores the enhancement of speech intelligibility in hearing aids using spectral subtraction techniques. Environmental noise often degrades the quality of speech signals, posing significant challenges for individuals with hearing impairments. Spectral subtraction, a widely recognized noise reduction method, is employed to mitigate these challenges. The study investigates the effectiveness of spectral subtraction in improving speech intelligibility by evaluating objective metrics. Objective measures such as the Perceptual Evaluation of Speech Quality (PESQ), Short-Time Objective Intelligibility (STOI), and Log Likelihood Ratio (LLR) are utilized to assess the performance of the spectral subtraction algorithm. The results demonstrate that spectral subtraction significantly enhances speech intelligibility and quality, making it a viable solution for improving hearing aid performance in noisy environments. PESQ scores improved by approximately 5% to 58%, and STOI scores improved by around 2% to 23%, while LLR scores improved by around 40% to 68% at low SNR levels. This research contributes to the development of more effective hearing aids, ultimately improving the quality of life for individuals with hearing impairments..
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