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.

International Multidisciplinary Conference On Recent Innovations in Science, Engineering, Management and Humanities (RISEMH-2022) Organized by J. S. University, Shikohabad U.P. India on 22 & 23 November 2022.

Scopus Indexed (2023)

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. AMA, Agricultural Mechanization in Asia, Africa and Latin America Teikyo Medical Journal Journal of the Mine Ventilation Society of South Africa Dokkyo Journal of Medical Sciences Interventional Pulmonology Interventional Pulmonology (middletown, de.)

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-03-04-2025-01

Abstract :

In digital signal processing, Finite Impulse Response (FIR) filters are fundamental components that govern behavior by specific coefficients. Protecting these coefficients from adversarial discovery is crucial, and prior techniques have introduced obfuscation through decoys or key bits. However, these methods remain vulnerable to query attacks capable of revealing secret keys. This work introduces a novel hybrid protection technique that combines hardware obfuscation and logic locking, utilizing a point function to secure parallel direct and transposed forms of FIR filters. Additionally, a Proportional-Integral-Derivative (PID) controller is integrated to enhance system performance and resilience. An innovative unlock function is also developed to ensure controlled access to the protected coefficients. Experimental results demonstrate that the proposed technique offers superior security, protecting against prominent query-based and logic attacks while maintaining competitive hardware complexity. The protected multiplier blocks and FIR filters, including the integrated PID controller, show enhanced security and efficiency compared to traditional methods.

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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-08-05-2025-02

Author : Dr. M. M. Kavitha, Dr. K. Anandapadmanabhan
Abstract :

The explosive growth of data generated on social media platforms like Twitter presents both opportunities and challenges for real-time anomaly detection. Traditional approaches struggle to scale with the velocity, volume, and variety of such data. This paper proposes a scalable framework for anomaly detection using stream mining techniques built on Apache Spark and its machine learning library, MLlib. The system is designed to process high-throughput tweet streams in real time, detect anomalous patterns, and evaluate the performance of various anomaly detection algorithms including Streaming K-Means and Isolation Forests. Twitter data is used as a dynamic, high-velocity input source to simulate real-world streaming environments. The framework leverages Spark Streaming for real-time ingestion and distributed processing, while MLlib enables scalable model training and inference. Comprehensive performance analysis is conducted using key metrics: speedup to measure parallel processing efficiency across Spark clusters, throughput to quantify the volume of tweets processed per second, and accuracy to evaluate detection effectiveness. Experimental results demonstrate that the proposed framework can achieve near-linear speedup, high throughput, and competitive accuracy in identifying tweet-based anomalies, such as sudden spikes in sentiment, bot-like behavior, or misinformation bursts. The system proves to be robust, scalable, and suitable for deployment in domains requiring low-latency insights from continuous data streams.

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Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-08-05-2025-03

Abstract :

The objective of this study is to develop a robust and scalable framework for detecting fake product reviews in large-scale e-commerce platforms using Graph Neural Networks (GNNs). The research aims to improve the accuracy of review authenticity classification by modeling user-product-review interactions as graph structures, capturing relational and behavioral patterns beyond traditional feature-based methods.The proposed approach constructs a heterogeneous graph from an e-commerce dataset where nodes represent users, products, and reviews, and edges encode their relationships. We apply a Graph Neural Network model that leverages both structural and semantic features extracted from the graph. Attention mechanisms are incorporated to focus on influential connections. The model is trained and evaluated on publicly available datasets such as Amazon and Yelp, with preprocessing steps including review vectorization, graph formation, and normalization. Benchmark comparisons are made against conventional machine learning classifiers and deep learning models. Experimental results demonstrate that the GNN-based model significantly outperforms baseline methods, achieving a higher F1-score, precision, and recall across multiple datasets. The graph-based approach exhibits superior ability to capture deceptive behavior patterns and uncover collusive review activities. The model also shows scalability when applied to datasets with millions of reviews.

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