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 56 , Issue 03 )
03 Apr 2024
Day
Hour
Min
Sec
Publish On
( Vol 56 , Issue 02 )
31 Mar 2024
Scopus Indexed (2024)

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. Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi

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-25-07-2023-600

Abstract : Drought is a recurring natural disaster that can cause significant damage to agricultural production, human livelihoods, and the environment. Drought forecasting is an important tool for managing and mitigating the impacts of drought. This study aimed to improve drought forecasting through the use of machine learning models. Specifically, the study evaluated the performance of three machine learning models, namely Extreme Learning Machine (ELM), Random Forest (RF), and Support Vector Regression (SVR), for forecasting Standardized Precipitation Index (SPI) drought. These models were trained using precipitation data of Hiran region, Somalia from 1980 to 2021, to evaluate their ability to accurately predict drought conditions. The results showed that the SVR model performed the best, with an R2 value of 0.753, MAE of 0.344, and RMSE of 0.488. The ELM and RF models also performed well. The study highlights the potential of machine learning models to improve drought forecasting, and the importance of evaluating multiple models to select the one that performs best for a specific dataset..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-24-07-2023-599

Abstract : This article presents a comparison of two artificial intelligence techniques used for automatic and continuous vehicular parking control. The techniques employed are Artificial Vision and Convolutional Neural Networks (CNN). The first technique is based on the analysis of images and videos of parking lots using the OpenCV library for computer vision and the Python programming language. It involves identifying and defining the coordinates of the region of interest (ROI) for parking spaces. Using artificial vision, the detection of available or occupied parking spaces is carried out using the Gaussian blur technique, followed by converting the images from RGB to grayscale. Subsequently, the original ROIs and the converted image's ROI are evaluated, and the standard deviation and average are calculated to check if they are above or below a threshold. The second technique utilizes object detectors based on CNN, such as the YOLO (You Only Look Once) architecture, specifically YOLO V7. Each technique was evaluated through tests, yielding an accuracy of 0.88 and 0.82 for precision and sensitivity, respectively, with Convolutional Neural Networks. The results obtained with artificial vision were 0.80 and 0.79 for precision and sensitivity, respectively. Based on the obtained results, better outcomes were achieved with the use of Convolutional Neural Networks..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-24-07-2023-598

Abstract : With climate change and energy crises worldwide, the demand for energy-saving strategies has become imperative. According to the annual report of the Ministry of Electricity, the buildings sector in Egypt consumes more than 51% of total energy. The type of buildings with the highest consumption is residential buildings. Luxury housing, represented in gated communities, has spread in Egypt. This type of housing has very high rates of energy consumption. Egypt faces a challenge in improving energy strategies, especially after the recent multiple energy crises. Because there is still a lack of government programs to retrofit existing buildings, the owners of luxury houses should be encouraged to implement one or more energy-saving measures by showing them the economic benefits. This study aims to analyze the thermal performance of luxurious housing and investigate the optimal cost-effective retrofitting measures..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-24-07-2023-597

Abstract : In many ways, composite materials have been widely used in everyday life. However, most of the composite materials that have been successfully developed still use synthetic materials that are not environmentally friendly. In this study, it was intended to obtain environmentally friendly composite materials (GC) by utilizing unmodified and unmodified teak starch and arrowroot starch adhesives. Arrowroot starch modification was carried out using a solution of 1%, 3% and 5% Sodium Tripolyphosphate (STPP). GC material synthesis was done by mixing modified arrowroot starch and teak powder in a 50/50 (% weight) ratio and using hot press machines at 80oC, 3.0 MPa pressure for 10 minutes. An FTIR analysis clearly showed that the intensity of the phosphate (P=O) group in the wavenumber region of 1338 cm-1 for GC materials with modified teak sawdust. Based on the characterization results, it can be concluded that the modified arrowroot starch increased the values of density, strength and bending modulus and reduced the values of moisture content and thickness expansion. The highest increase in density, strength and bending modulus was experienced by GC material with arrowroot starch resin modified with STPP at a concentration of 3%, namely 7.3%, 11.9% and 30.06% respectively. The GC material also experiences the highest moisture content and thickness swelling decrease with arrowroot starch modified with STPP at a concentration of 3%, namely 21.9% and 8.0%, respectively. Although the use of modified arrowroot starch can improve the characteristics of the resulting GC material, the synthetic GC material does not fully meet the standards required by INS 03-2105-2006. Only the synthesized GC material's density value and moisture content can meet the INS 03-2105-2006 standard..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-23-07-2023-596

Abstract : The Nile River is regarded as one of Egypt's most important national assets, with over 800 urban settlements located along its banks. However, urban transformations and changes in riverfront land use in these settlements are occurring rapidly and in different forms. The riverfronts have not received sufficient study and analysis of the dynamics of their land-use changes, despite being the focus of conflict between many powers. The outcome of this conflict appears through a clear disparity in land use. Therefore, this research paper is a serious step toward understanding the dynamics of change in riverfront land use (spatially and temporally) and their correlation with the population sizes of their settlements. The population size was used as an indication of the temporal development of riverfront settlements. To develop this framework, this study conducts a critical review of the literature related to the processes of changing the uses of riverfront land and then uses a quantitative method and statistical analysis after monitoring all the Nile River settlements and the use of their Nile fronts and classifying them according to population sizes to determine the correlations between these uses and the sizes of the population of their settlements to assist decision-makers and planners in proposing practical methods when conducting development processes in Nile fronts..
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