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 55 , Issue 02 )
10 Feb 2023
Day
Hour
Min
Sec
Publish On
( Vol 55 , Issue 02 )
28 Feb 2023
Scopus Indexed (2022)

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. Azerbaijan Medical Journal Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980) Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Tobacco Science and Technology Teikyo Medical Journal Connected Health

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 :

Physics Section:

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-31-10-2022-378

Abstract : In the present study, experimental analysis of single basin solar still using phase change materials (PCM). In order to improve the distillate, phase change materials have been stored in a copper hexagonal box. The solar still performance should be conducted in two different phase change materials, the first of which is the conventional still. The second is a still with Phase Changing Material (PCM) lauric acid, and the third is a PCM paraffin wax still. With the adjustment of the basins water depths (2 to 6 cm). For all three stills, the effects of basin water depth on total distillate have been studied for all three cases. The maximum distillate has been obtained at 2 cm depth for all cases. Total distillate decreased linearly with water depth for two PCMs. The maximum water basin temperatures in paraffin wax by dropped 10.2 % as compared to lauric acid (17.5 %). For two distinct PCMs, the variation of various heat transfer coefficients with time was also investigated. Total distillate increased by 2060 and 1980 ml/m2-day for paraffin wax and lauriu acid, respectively stored in a copper hexagonal box. The performance of the conventional still was comparable to the other two PCM stills..
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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-28-10-2022-377

Abstract : The important information contained in the seismic data can be discovered via time-frequency analysis. To illustrate geological features, the time-frequency representation's high resolution is crucial. This paper proposes a novel wavelet Filter Bank Tree analysis (WFBT) method for seismic time-frequency analysis. WFBT analysis is used to examine multichannel seismic data with the intention of conducting seismic exploration. An array of band-pass filters called a wavelet filter bank tree (WFBT) divides the input into numerous components, each of which carries a particular frequency sub-band of the original signal. A graphical equalizer is one use for a wavelet filter bank. The results demonstrated that the WFBT has the capacity to precisely highlight geological and stratigraphic information and can offer a resolution that is significantly higher than the conventional continuous wavelet transform..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-21-10-2022-364

Abstract : Iraq is one of the countries that suffer from a shortage of electricity production. One of the ways to produce electrical energy is by using photovoltaic cells. Although the cost of producing electrical energy using photovoltaic panel is low compared to using fossil fuels. However, the efficiency of photovoltaic panels is relatively low. The use of reflectors is one of the methods used to improve the efficiency of photovoltaic panels, but at the same time it causes the solar panels to heat up and over time causes damage to the photovoltaic panels. In this research, a numerical as well as experimental study was carried out to study the improvement of the performance of the photovoltaic cell. for the numerical study, it was carried out using the ANSYS 2022 program, where the analysis was done in a three-dimensional geometrical and four models were analysed which are concentration photovoltaic without adding PCM (case 1), concentration photovoltaic cell with a mixture of paraffin and petroleum jelly at 50%(case 2), concentration photoelectric cell with PCM and fins (CPV/FPCM) (case 3), concentration photoelectric cell with PCM, fins and external aluminum matrix (case 4). Experimental and numerical results showed convergence in the results and that the use of the mixture of phase-changing materials leads to a decrease in temperature (CPV/PCM2), (CPV/FPCM2) and (CPV/FPCM2P) are (7.97C°) (8.7331C°) ( 11.455 C°) respectively, and also leads to an increase in efficiency by rate (5.561%) (6.68%) in cases (CPV/FPCM2) and (CPV/FPCM2P) respectively..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-20-10-2022-362

Abstract : Recently, graphene nanoribbon field effect transistors (GNRFETs) are considered as promising contender in nano-electronic industry because of its extraordinary properties such as large mobility, high strength, and optical properties. In this paper, Schottky barrier GNRFET (SB-GNRFET) and doped GNRFET (D-GNRFET) are proposed to investigate their performance in terms of ON and OFF state currents, voltage-current (I-V) curves and transconductance. The presented devices are designed and implemented using the Synopsis based Quantumwise ATK tool to obtain the simulation results. It is observed that the D-GNRFET show high performance over the SB-GNRFET because of the doping concentrations. The simulation results of the proposed devices are obtained by the non-equilibrium Green’s function and the Poisson’s condition solver is utilized to evaluate the electrostatic potential..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-20-10-2022-361

Abstract : Precision agriculture analysis is a development fact in big data mining for predicting weather data for future recommendation agricluture. Especially in agricultural development, the spatial data is more difficult to predict right information because of more dimension due to non-relation feature analysis leads classification prediction problems. To resolve this, we propose a Forecasting weather prediction model based On Mutual Invariance Feature Selection Model (MIFSM) with intent of Successive Weather Influence Rate (WSIR) depended feature prediction and classified with Subset Spread Spectral Deep Neural Network (S3-DNN). Further predicting right features based on relevant features estimation using successive weather influence rate (SWIF) is estimated. Initially the proposed system collects the geo spatial weather data and process into feature selection using Mutual In variance Feature selection model. The features gets estimated using Successive Weather Influence Rate (SWIF) to make mean weightage along with marginal values observed from dataset rainfall, temperature, humidity etc. the estimated weight is patterned using Spatial Harvest Successive Rate (SHSR) to make ordered ranking. Further the selected features is trained into Soft Max Logical Activation Function (SMLAF) to get tuned neural network Using Convolution Neural Network (CCN). The classifier get trained with SMLAF to process input features make categorize the data into recommend and non-recommend fields based on this weather which is for recommendation for agricultural resources. The proposed system produce best recommendation performance as well than previous system..
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