scopus

Kongzhi yu Juece/Control and Decision

Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.

Aim and Scope

Kongzhi yu Juece/Control and Decision

Computer Science and Engineering:

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,

Electrical Engineering and Telecommunication Section:

Electrical Engineering, FACTS devices , Insulation systems , Power quality , 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, High voltage engineering, Electrical actuators , Energy optimization , Electric drives , Electrical machines, HVDC transmission, Power electronics.

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,

Chemical Engineering :

Chemical engineering fundamentals, Particulate systems, Rheology, Physical, Theoretical and Computational Chemistry, Chemical engineering educational challenges and development, Chemical reaction engineering, Multifase flows, Chemical engineering equipment design and process design, Thermodynamics, Catalysis & reaction engineering, Interfacial & colloidal phenomena, Transport phenomena in porous/granular media, Membranes and membrane science, Crystallization, distillation, absorption and extraction, Ionic liquids/electrolyte solutions.

Mathematics :

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, Information theory, Industrial mathematics, Integral transforms and integral equations, Lie algebras, Magnetohydrodynamics, Mathematical analysis, Logic,

Physics Section :

Astrophysics, Atomic and molecular physics, Biophysics, Chemical physics, Civil engineering physics, Cluster physics, Computational physics, Condensed matter, Cosmology, Device physics, Fluid dynamics, Geophysics. High energy particle physics, Laser, Mechanical engineering, Medical physic, Nanotechnology, Nonlinear science, Nuclear physics, Optics, Photonics, Plasma and fluid physics, Quantum physics, Magnetohydrodynamics, Robotics, Soft matter and polymers,

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OPTIMAL HARVESTING STRATEGY FOR PREY-PREDATOR MODEL WITH PREDATORS STRUCTURED AS IMMATURE AND MATURE

In this paper, we will study a prey-predator model with predators structured as immature and mature. For harvesting species, the fraction of stock available for prey and the fraction of stock available for predators are taken into account. Our analysis will focus on the permanence of system, the equilibrium points and the optimal harvesting strategy for prey and mature predators. Numerical simulations are being conducted to confirm the theoretical results of our work.


Research on Security Situation Awareness and Testing in Power Dispatching Based on Machine Learning Bayesian Algorithm

To address the problem that power dispatch communication networks are prone to abnormal behaviors such as anomalous flows and at the same time reduce the reliability of power dispatch, we have investigated a machine learning Bayesian algorithm-based security situational awareness method for power dispatch. Specifically, we use the Hadoop platform to collect power dispatch data corresponding to the security situational awareness impact indicators. At the same time, we use the subject model algorithm to project the collected power dispatch data into the optimal identification vector space to det


ON THE CONVOLUTION EQUATION RELATED TO THE LAPLACE OPERATOR

In this article, we study the distribution for ,where is the partial differential operator related to Laplace operator iterated times, is the Dirac delta distribution, is a variable in , and ) is a constant. In particular, we study the application of for solving the solution of some convolution equation. We find that the types of solutions to such convolution equations, such as the ordinary function and the singular distribution, depend on the relationship between and


Research on Multi target Attack Path Planning and Energy Consumption for UAV Based on Improved Sparrow Search Algorithm

Unmanned Aerial Vehicle (UAV) have gained widespread application across various fields due to their low cost, high maneuverability, and ease of operation. However, challenges remain in optimizing path planning and energy consumption for UAV multi target attacks. The Sparrow Search Algorithm (SSA) is a novel metaheuristic optimization approach that emulates the social interaction and flight patterns of sparrows to maximize search efficiency. This paper proposed an Improved Sparrow Search Algorithm (ISSA) that first utilizes the Singer chaos ma p to enhance the initial population distribution, t


Enhancing UAV Security: A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection

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