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-03-11-2024-777
Abstract : This article investigates two variations of the Working Vacation framework, incorporating dual server breakdowns and a retrial queue with interruptions during working vacations, all managed under a Classical Retrial Policy. The steady-state probability distribution of the customer count in a single-server Markovian queue is computed using a matrix geometric approach specifically during working vacation periods. Breakdowns may occur in both the working vacation and busy states of the server. Customer arrivals are contingent on the server's state, following the First-Come-First-Serve discipline, and the server can provide alternative service to customers. The study specifically focuses on an M/M/1 retrial queue with working vacation interruptions. In cases where a customer arrives and the server is occupied, they enter an orbit of infinite size. Customers within the orbit attempt service sequentially when the server becomes available, adhering to the classical retrial policy with a retrial rate represented by 𝑛𝛼, where 𝑛 denotes the orbit size. Furthermore, if customers are present in the system at the conclusion of service during a working vacation period, the vacation is interrupted. The article also includes a sensitivity analysis to evaluate how different parameters impact the system's performance. The conclusion provides numerical examples and a discussion on cost optimization..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-01-11-2024-776
Abstract : Memristors indeed represent a growing area with a range of intriguing properties, rendering them valuable for both storage and computing high level applications. To leverage memristor logic in complex Neuromorphic Computing Systems, particularly in models like Memristor-based Neural Networks for optimizations, the integration of high-speed and low-latency sub-systems such as adders and multipliers becomes crucial. The inherent properties of memristors, coupled with their ability to perform various logic operations, make them well-suited for the demands of neuromorphic computing, where parallelism, efficiency, and adaptability are paramount. By harnessing memristors in adders and multipliers, these systems can achieve enhanced computational capabilities, supporting the development of efficient and powerful neural network models. As first cut of this work, The design of a memristor was evaluated in terms of current, voltage, and resistance using the MATLAB tool, with its performance thoroughly analyzed. Subsequently, a high-speed, low-latency multiplier with enhanced throughput was implemented, accompanied by a detailed examination of its benefits and its integration with Content Addressable Memory (CAM). High-speed memory CAM and fundamental arithmetic operations are integrated to enhance the Artificial Neural Network (ANN) model. In order to gain a deeper understanding of mathematical models, their features, and strategy aspects, comprehensive comparative analyses are conducted and essential metrics, such as Figures of Merit, are used to validate the suggested system. The design initially synthesized in Cadence Genus tool and using MATLAB validated the fundamental properties of the memristor and synthesized it in the Vivado Design Suite 2018.1 platform, the efficacy of the suggested design is demonstrated and contrasted with theoretical computations based on the hardware utilization, speed, throughput, and latency results..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-31-10-2024-775
Abstract : Egyptian government has particularly focused on real estate development during the past five years to support the economy by selling lands in new cities. However, the sector is unstable due to several ineffective policies, regulations, and procedures. Noticeably, achieving sustainable development in new cities often faces challenges regarding land provision and effective governance. Moreover, the processes to regulate and control the land provision process are inefficient and ineffectual. Many researchers associate the existing ineffective land provision policies in Egyptian new towns with the absence of real estate market monitoring, capturing the accelerating demand for land and the rapid change in land uses .The importance of real estate monitoring is being raised due to the lack of a clear strategy for the governance of the real estate sector in new cities, accompanied with no clear mechanisms to manage supply and demand and the sustainability of the land provision process .Thus, purpose of this research is to investigate how a proposed Smart Real-Estate Observatory (SREO) might help in addressing these challenges, particularly highlighting its role in addressing the drawbacks and consequences resulting from the absence of real estate monitoring in new cities, in addition to the absence of governing frameworks for a sustainable development of the real estate market. Globally, there are many concerns regarding the use and employment of smart and systematic technologies to support decision-making via models that monitors, analyzes, and controls real estate data, adopt methodologies based on digital indicators, and implement technologies such as Blockchain technology and IOT. The paper, therefore, argues that there is an urgent need to move towards the governance of land demand, as well as studying the factors affecting supply and demand through the establishment of a (SREO) that helps decision-makers to optimally utilize land uses, and induces proper governance of the real estate market in new cities in Egypt..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-25-10-2024-773
Abstract : The Degradation process model was found to be appropriate and fixed over the two bio-object frameworks: (i) Comparison among Low and High BMI, WC, OC consumption levels of Parous and Nulliparous women (ii) Profile of 17β-estradiol and progesterone against upper, middle and lower tertile. The author verified the results provided by the medical field and found that there is no significant connection between performance of Reliability function of Degradation process fixed for 17β-estradiol and progesterone and parity of the women. The monotonically increasing curves depicts that the Reliability function of Degradation process fixed for 17β-estradiol and progesterone over parous, nulliparous women have maximum performances over the women having high BMI (>25 Kg/m2) and who were consuming oral contraceptives more than 3 years. But interestingly we observed the inverted results over daily salivary observation against lower, middle and upper tertile as lower tertile with less than 10 ten years interval serves upper bound and upper tertile with 13.5 years’ time interval serves lower bound of middle tertile with interval 10 – 13.5 years..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-15-10-2024-771
Abstract : Over the last couple of decades, virtual and augmented reality technologies have been widely used to minimize the problems affecting public safety and emergency services. The paper outlines a technology that would let first responders navigate their route through built environments by using AR devices attached to their helmets and visors, which would be helpful during natural disasters and severe fires. This development has enabled the capability to see and hear through smoke, fire, debris, adverse weather, and other obscuring materials; navigation; real-time sensor data related to the environment and dangerous situations; and the ability to see through smoke. It may also provide users with audio and visual commands in a disaster, information on the availability of shelter, ways of evacuation, and what to do in an emergency using head-mounted displays and personal digital assistants [2]. Deep learning approaches, such as CNNs and SLAM techniques, are crucial in improving the graphics generated by augmented reality systems, thereby enhancing the end-user experiences. The SLAM technique tracks the positions and orientations of views in an artificial environment and supplies the geometric position for the augmented reality system. It, therefore, allows the system to draw the surroundings three-dimensionally. The CNN algorithm detects and perceives the objects within an environment..
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