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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
( Vol 58 , Issue 02 )
22 Mar 2026
Day
Hour
Min
Sec
Publish On
( 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-12-03-2025-821

Abstract : In DSP (Digital Signal Processing), the MAC unit, or Multiply-Accumulate Computation, plays a vital role in the processing chain. The multiplier distinguishes among its constituents as a crucial building piece. This paper describes the design of the multiply-accumulate unit with the Novel sleep Transistor technique and compares 8-bit MACs and their building blocks with relevant techniques. This MAC unit is designed with Cadence 45nm technology. These designs are analyzed and simulated with a virtuoso simulation tool..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-24-02-2025-818

Abstract : Executing Join-Aggregate queries on Big Data can incur enormous computational costs. Hence, the Approximate Aggregate Query Processing Techniques (AQPTs) are an attractive choice to execute such join-aggregate queries, because they incur limited computational costs. The AQPTs utilize random sampling to approximately execute a given join aggregate query. However, the effectiveness of random sampling is highly correlated with the number of qualifying tuples of the given query. If the given query has limited number of qualifying tuples, the approximate answer obtained by AQPT can suffer from poor approximation accuracy. Hence, it is extremely necessary to analyze the feasibility of a given join-aggregate query to be executed by AQPT. In the literature, such feasibility framework has not received any attention. Hence, in this paper, a feasibility framework for analyzing the feasibility of a given join-aggregate query to be executed by AQPT, is presented. This proposed feasibility framework is designed through the aid of a probabilistic model. An empirical analysis study of the proposed feasibility framework is presented. In this study, the proposed feasibility framework demonstrates appreciable performance in-terms of prediction accuracy and execution latency. The proposed feasibility framework presents a significant advancement in the field of Approximate Aggregate Query Processing AI Techniques. Its effective utilization of a probabilistic model for feasibility analysis provides a reliable and efficient solution for executing join-aggregate queries, paving the way for more optimized and cost-effective Big Data processing..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-24-02-2025-816

Abstract : Manzala Lake is one of the largest natural resources in Egypt. The research aims to assess the lake region's ecosystem changes by identifying the dynamic change pattern and interactions between three main factors; urban development, lake ecological system and ecosystem services' value. The objectives were achieved by propose a spatiotemporal assessment tools using the earth observation and the computing clouds technologies advantages of Google Earth Engine for historical data extraction and its power for spatial image processing analysis. The assessment tools showed a declination of the lake and agricultural land areas with 3.8% and 2.5% erosion rates as well as declination in the water quality index, meanwhile the fish farming and urban areas has incrementally increased. The analysis also detects the change pattern of the lake environmental services of fish productivity and fishermen's income. The lake encroachment was statistically significance associated by 74% of fish farms areas and by 17% of agricultural land. These findings prove the advantages of the spatiotemporal assessment tools to monitor and study the dynamic changes and interactions within the lake’s ecosystem identifying the crucial lake region factors and the suitable environmental protection actions to preserve the balance between urban development and the quality of ecosystem..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-15-02-2025-815

Abstract : The integrity of the healthcare system is compromised by collusive fraud, where multiple individuals conspire to deceive health insurance providers. Despite the severity of this issue, current statistical and machine learning-based approaches struggle to identify fraudulent activities in health insurance claims, largely due to the similarity between fraudulent behaviors and legitimate medical visits, as well as the scarcity of labeled data. To enhance the accuracy of fraud detection, it is essential to incorporate domain expertise into the detection process. Through collaboration with health insurance audit experts, we have developed Fraud Auditor, a novel three-stage visual analytics framework designed to detect collusive fraud in health insurance. The approach begins with an interactive module that enables users to construct a co-visit network, providing a comprehensive representation of the relationships between patient visits. Next, we developed an enhanced community detection developed algorithm that incorporates fraud likelihood scores to identify high-risk clusters of suspicious activity. This is followed by a visual analytics interface that enables users to examine, compare, and validate suspicious patient behavior through customizable visualizations that accommodate various time granularities. To evaluate the efficacy of the current approach, we conducted a real-world case study in a healthcare setting, aimed at distinguishing actual fraudulent groups from false positives. The results, corroborated by expert feedback, demonstrate the effectiveness and usability of our methodology in supporting fraud detection and mitigation efforts..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-22-01-2025-807

Abstract :

Multilevel model and its application in evaluation of medicine policy interventionMultilevel model and its application in evaluation of medicine policy interventionMultilevel model and its application in evaluation of medicine policy interventionMultilevel model and its application in evaluation of medicine policy intervention

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