scopus dragon

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,

// Latest Journals

DeGATraMoNN: Deep Learning Memetic Ensemble to Detect Spam Threats via a Content-Based Processing

Technological growth is targeted at advancing society to higher sophistication with ease. The birth and advances of the Internet to ease sharing of resources can be attributed to features such as its ease of use, low transaction cost, ubiquitous nature, and user-trust level in adoption. These feats, while advancing its popularity and adoption, also threaten data integrity with a rise in the birth of adversaries. Thus, the quest of detecting intrusion and provisioning countermeasures is now a continuous task. Our study advances a memetic deep-learning modular neural network to detect phishing a

Read more

Sentiment Analysis in Detecting Sophistication and Degradation Cues in Malicious Web Contents

Mobility, ease of accessibility, and portability have continued to grant ease in the adoption rise of smartphones; while, also proliferating the vulnerability of users that are often susceptible to phishing. With some users classified to be more susceptible than others resulting from media presence and personality traits, many studies seek to unveil lures and cues as employed by these attacks that make them more successful. Web content has been often classified as genuine and malicious. The study seeks to effectively identify cues and lures that will help users classify content as malicious in

Read more

A Density Functional Theory investigation on Gallium Nitride nanocage Ga12N12 as a carrier for BMSF-BENZ drug

Our investigation aims to examine the potential and capability of gallium Nitride nanocage (Ga12N12) to detect and adsorb BMSF-BENZ molecular. So, we assumed different configurations for the adsorbing of BMSF-BENZ drug on the surface of this nanocage. All configurations were optimized using Density Functional Theory at lanl2dz basis set with M06-2X, WB97XD levels of theory, then we selected the sites of the active atoms (Nitrogen atoms, Oxygen atoms, and Sulfur atom) to be adsorbed by the nanocage. The results obtained from adsorption energy, hardness-softness, and fermi energy showed that the

Read more

Analysis of Fatty Acid Ethyl Ester and 𝛂-Tocopherol as an Antioxidant Sources on Cooking Oil and Homemade Virgin Coconut Oil

The main content of virgin coconut oil is fatty acid ethyl ester and other ingredients that have the potential as a source of antioxidants which are added during the manufacture of oil from natural ingredients on the market. The aim of this study was to analyze FAEE of homemade virgin coconut oil (VCO) as well as cooking oil added with VCO by using GC-MS. Fresh coconut fruit as a source of natural VCO and cooking oil containing VCO were used in this study. Both materials were prepared using pro-analytical extract solvents. Phytoconstituent profiles were analyzed using GC-MS qualitatively. The

Read more

A hybrid gray wolf optimization algorithm based on the teaching-learning optimization

In terms of the problems that the gray wolf optimization algorithm has low convergence accuracy and is easy to fall into local solutions, this paper proposes a hybrid gray wolf optimization algorithm based on the teaching-learning optimization. Firstly, the good-point set theory is used to generate the initial population to improve its ergodicity. Then, a nonlinear control parameter strategy is proposed to increase the global search capability in the early stage of the iteration to avoid the algorithm from falling into the local optimum, and increase the local development capability in the

Read more