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 )
14 Apr 2024
Day
Hour
Min
Sec
Publish On
( Vol 56 , Issue 03 )
30 Apr 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-14-01-2023-494

Abstract : In the presence of Piperidine, the reaction of 4-Hydroxysalicylaldehyde with ethyl 3-oxobutanoate produced the compound 3-acetyl-7-hydroxychromen-2-one (1), which was subsequently cyclized with ammonium acetate to pyridine derivative (APHCP) (2). TLC (Thin Layer Chromatography), Melting level, Fourier-transform infrared spectroscopy, while Proton nuclear magnetic resonance had been utilized to describe the newly created substance. Pyridine derivative (APHCP) (2) is just a synthesized substance that was screened for its antibacterial and antifungal activity against Staphylococcus aureus, Staphylococcus epidermidis, Escherichia coli, Klebsiella sp., and Candida albicans. were selected because they have antifungal and antibacterial effects. Using the diffusion method, Comparing Compound 2 to the popular drug Ampicillin revealed significant antibacterial efficacy. Compared to conventional Diflucan, Pyridine derivative (APHCP) (2) had antifungal solid effectiveness. According to the research, compound 3-acetyl-7-hydroxychromen-2-one (1), and Pyridine derivative (APHCP) (2) have much more antioxidant activity than ascorbic acid, a well-known antioxidant. They were highly effective in neutralizing hydroxyl and DPPH ions. The lowest unoccupied molecular orbital energy (ELUMO) and the highest occupied molecular orbital energy (EHOMO), respectively, were measured and given as quantum chemical parameters. The target compounds (4-Hydroxysalicylaldehyde, 3-acetyl-7-hydroxychromen-2-one (1), Pyridine derivative (APHCP) (2) & Ampicillin) underwent a docking procedure Ampicillin-CTX-M-15. It was demonstrated that the orthostatic target binds to each hit. The location of the enzyme in the (active) state may indicate a competitive inhibition mechanism..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-12-01-2023-492

Abstract : The decrease in efficiency of photovoltaic (PV) modules is caused by an increase in the temperature at which they are working. In this research, an aluminum metal foam (AMF) with phase change material (PCM) is used for passive cooling to control the temperature of a photovoltaic (PV) system. Two modules, the standard PV and the PV with AMF incorporated in PCM (abbreviated as PV/PCM/AMF), are tested in the open air. Over the course of the winter, measurements were taken of the PV panels' surface temperatures, PCM temperatures, open-circuit voltages, and total power outputs. Based on the data, the PV-PCM/AFM system had a surface temperature that was 4.4%, 7%, and 17% reduced than traditional PV in the months of December, January, and February. Additionally, the power output of the PV-PCM/AFM system was 1.86 percentage points higher, 3.41 percentage points higher, and 4.19 percentage points higher than conventional PV in those same months..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-12-01-2023-490

Abstract : Food losses due to plant disease and pests have been an issue for many years. The early non-invasive detection and prediction of leaf diseases with modern technology are crucial in the contemporary world to sustain food security. Binarization is the primary technique for extracting significant information from an image. However, it could not always extract substantial information due to variations in the distribution of the image pixel histogram because of the delivery of light during image acquisition. Image acquisition from different environments and laboratory settings could potentially result in a highly non-uniform histogram distribution of leaf images. Extraction of Region of Interest from leaf images with non-uniform illumination has been challenging for the conventional thresholding and edge detection techniques. It is because the optimal threshold value for the highly varied histogram distribution is difficult to calculate dynamically. This paper proposes an Enhanced ELA incorporated with the Otsu method to improve the binarization process of the non-uniform histogram intensity distribution of the leaf images. The combination of Enhanced ELA with Otsu acquired the best performance in three measurement metrics: validation accuracy, convergence rate, and least overfitting compared to the benchmark models. CNN architecture is used for the classification of plant leaf images..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-10-01-2023-488

Abstract : Recognizing human-related events is a current area of study. There has been a lot of interest in real-time video event recognition. This is a difficult task due to the spatial and temporal variations in the frame. The proposed work is a real-time video event recognition approach that integrates detection probability, descriptive labels, and classification. This method for developing recognition strategies from event descriptors uses multi-decision fusion with probabilities (MDFP), where a consecutive winning event for 5 detections being chosen. In contrast to current models, this work is novel in that it uses real-time videos. The deep neural network architecture is used to train the Kinetic 400 dataset. Outdoor and indoor videos are provided for testing this model in real time. Regarding Top1 and Top5 accuracy as well as event recognition accuracy, this new model is more reliable than earlier models..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-06-01-2023-484

Abstract : The development and utilization of internet-based technology has developed rapidly and also, we have been infused in an era of interconnections with the security that are delivered with the use internet technology in our day-to-day life services and these interconnections will lead to make networking is a most important aspect which also becomes as on indispensable part of our modern life. Due to the use of this technology has been creating us lots of security problems that are caused by malicious network intrusions. Therefore, securing device and system against malicious attacks has become an important and urgent task, since this intrusion can result in great risks. In this paper, we focus on the efficiency of PCA for intrusion detection to determine the advantages of use dimensionality reduction technique which improves the detection rate of the anomalies in the network data. The result is represented the various classification algorithm on Unswnb15 dataset of 4 9features. The result also presents the comparison analysis with and without PCA analysis on various classification algorithm..
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