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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 56 , Issue 03 )
20 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-20-12-2022-468
Title : Numerical Studies on Steel-Concrete Composite Beams Using Innovative Shear Connectors With High-Strength Steel
Abstract : A shear connector defines as a metal component through which two dissimilar materials or structures can act as a single entity. Hot-rolled steel I-section beams and concrete slabs are joined monolithically in steel-concrete composite beams by a shear connector. Stud is a conventional type of shear connector typically used in steel-concrete composite construction due to its several benefits. Cost and sustainability are two major essential factors for construction. Cost of manufacturing and installation are the major drawbacks for the stud connector. This paper comes with a solution of introducing an innovative shear connector called a T-shape reinforcement connector as a replacement for conventional stud. In the recent era, high strength steel is gaining popularity due to its strength to weight ratio. The finite element models are initially validated by comparing the results with the experiment reported in the literature. A total of twelve steel-concrete composite beams connected with an innovative shear connector made-up of reinforcement are studied numerically in this paper using finite element commercial package ANSYS15 under the positive moment. The degree of shear cconnection, strength of steel beam, height and diameter of reinforcement are considered primary parameters for this present study to understand the behaviour of reinforcement shear connectors on the steel-concrete composite structure. Load bearing capacity, deformation characteristics, end-slip behaviour, ductility factor and failure modes are presented..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-17-12-2022-464
Title : Modelling Fate and Emission of Odorous Hydrogen Sulphide Gas in Full-Scale Plants of Type A2/O Using A TOXCHEM Model: Case Study Karbala STP (Iraq)
Abstract : Models’ emission and fate of odorous hydrogen sulphide gas in full-scale plants anoxic/anaerobic/oxic A2/O using a TOXCHEM V4.1 model was used in Karbala sewage treatment plants (STP). Monthly influent and effluent samples were taken during a one year to assess the performance of Karbala STP. pH, COD, BOD5, TSS, NO3, NO2, NH4+, SO42-, H2S, oil and grease, and PO4-3 measurements. Degradation and emissions were two most important processes across the system. Model calibration and validation was applied to ensure that all data was calibrated and validated within the predefined limits, with the root mean square error (RMSE) and R2 are 0.06 and 0.9095 respectively within acceptable boundaries results showing the model to be close to an ideal fit. At 30 °C in summer and 20 °C in winter, 25% and 23.4% of all such gas respectively was released into the atmosphere, 0.01 and 0.04% were discharged with wastewater, 0.11 and 0.13% were absorbed by sludge, and 74.8 and 76.3% were degraded. Total emitted concentration of H2S at Karbala STP was 4.918 ppm in summer and 4.6325 ppm in winter. A sensitivity analysis was also performed to develop a better understanding of H2S fate and emission. Overall, the TOXCHEM V4.1 model performed well with regard to predicting the emission and fate of H2S gas in an A2/O compare with actual data system, and this provides accurate data on the location of the noxious gas emissions, allowing make decisions at any plant to make the right decisions..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-15-12-2022-458
Title : Fast and Accurate Cashew Fruit Recognition using Deep Learning algorithm in Complex Orchards
Abstract : Computer Vision and its associated emerging technology prove high potential in advanced agricultural applications. Recently Deep Learning algorithms are much more efficient in producing solution to Computer Vision Problems. In this paper, a review on deep learning algorithms and its uses in agriculture is done. Also, this paper reports the research work on autonomous harvesting system using IOT Technology. Detection of Cashew fruit is an important part of intelligent management in the Cashew harvesting process. For fast and accurate Cashew fruit detection in the complex environment, this paper proposes a fruit detection method using Deep Learning algorithms. We applied SSD mobilenetV2 neural network to get the features of cashew fruits in depth and detect different stages of cashew apple in tree like Immature, Unripe Cashew and Ripe Cashew. This method achieved an average of 92.26% detection rate and the average execution time is 8 seconds. Also, the results are compared with machine learning algorithm and YOLOv4 method. Deep learning method gives better results on accurate detection of cashew fruits and detection time when compared to machine learning algorithm. Compared with YOLOv4, Single shot Detector (SSD) had higher detection rate and confidence. The proposed method detects different colors of Cashew fruit like yellow, red and combination of both and also detects different maturity levels with high recognition rate and in faster speed. This technique also able to detect individual cashew fruit in clusters which effectively helps the harvesting robot for continuous fruit plucking process and for yield estimation. At the end, several problems related to recognition and localization are addressed..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-13-12-2022-454
Title : Scheduling Analysis of Thermal Unit on Hourly Basis Using Novel Hybrid: Whale Optimization and Self Organinizing Migrating Algorithm
Abstract : The effective utilization of available sources in equating the load demand on hourly bases can be implemented using unit commitment. This paper presents the novel hybrid method which is the amalgamation of a whale optimization algorithm (WOA) and a self-organizing migrating algorithm (SOMA) for obtaining optimal value of an optimization problem related to unit commitment. The WOA method is applied for assessing optimal strength population from the stochastically generated populations which is essential in a migrating loop. SOMA works on the strategy of ALL to ALL. Two test systems are considered to evaluate the potential of the proposed hybrid method. Initially, a four-unit system is conducted followed by IEEE 39 bus system. The obtained simulation outcome is made comparison with the literature methods to address the effectiveness of the proposed hybrid WAO-SOMA..
Full article
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-12-12-2022-453
Title : Causes of claims in building construction projects
Abstract : Several issues arise that can’t be resolved during the execution of a project. Such problems typically include contractor requests for extension of time or an additional cost, or both. When the contractor requests them, they are called claims. The issue is sorted if the owner accepts the contractor claim and grants him extension of time or additional cost, or both. If owner does not agree to the contractor claim and there are various interpretations, the claim becomes a dispute. To avoid or reduce claims in the construction projects it is required to investigate the causes of claims. This study aims to understand of causes of the claims in the building projects in Egypt in an attempt to enable practitioners to be familiar with claims to avoid or minimize when they occur. From international literature, factors that cause claims were identified then modified by expert questionnaire to be suitable to Egyptian construction. Then the factors were subjected to questionnaire to identify their importance. The responses were analyzed by spearman coefficient, Cronbach's alpha variable, k-s test, and one sample t-test. To analyze the collected data of the research, Statistical Package for the Social Science (SPSS) were used. The most prevalent causes of claims that were deduced..
Full article