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: Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology Research Journal of Chemistry and Environment

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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Robustness optimization of two-layer network based on edge coupling

The topology structure of multi-layer networks is highly correlated with the robustness of consensus. This paper investigates the influence of different interlayer edge connection patterns on the consensus of the two-layer ring networks. Two types of two-layer ring network models are first considered: one is a kind of two-layer ring network with two linked edges between layers (Networks-a), and the other is a kind of two-layer ring network with three linked edges between layers (Networks-b). Using the Laplacian spectrum, the consensus of the network model is derived. The simulation experime


Prediction of Surge and Swab Pressures and Safe Tripping Speed for Reducing Hole Problems in Rumaila Iraqi Oil Field

Surge and swab pressures are additional pressure drop due to the pipe movement upward/downward during drilling activities including drill string reciprocation and tripping operations. It describes the changes in pressure in the annulus because of pipe movement, resulting in a variety of expensive drilling issues, such as well kick, formation breakdown, and lost circulation. The key objective of this study is to examine the factors that influencing the surge and swab pressures and determine the extent of their influence., In addition to optimizing the drilling parameters that determine the grea


Skin Lesion Detection using Pretrained Customized Deep Learning Model

Skin cancer is regarded as the world's deadliest disease. Patients with incorrect diagnoses and substandard treatment have a very low chance of survival. However, if the disease is discovered sooner, the patient has a greater chance of survival and can be cured. Consequently, diagnosing and treating a patient in the earliest phases is difficult and complex. A system capable of autonomously diagnosing and detecting skin cancer at an earlier stage is required to address these issues. This study employed several deep learning models, including VGG16, VGG19, Xception, ResNet50, InceptionResNetV2,


An Effective and Secured IoT based Healthcare System using Blockchain Technology

The healthcare industry is expanding quickly along with new technologies like IoT (Internet of Things). The fundamental idea behind integrating IoT into healthcare facilities is to build it accessible by physicians from a remote location, allowing for simple patient-doctor contact as well as remote disease detection in an emergency situation. But for the IoT health system to provide exceptional patient’s care, it is vital to ensure a high level of safety. The health histories of the patients contain critical data which must only be available to authorized people, as any data which exists on


The calculation of vehicles violating road markings at traffic lights based on user-defined markers

The development of smart cities demands automation in various things, including traffic engineering management. Intelligent Transportation System, usually abbreviated as ITS, is one of the supporting components of a smart city. One of the automation that can be handled in ITS is the detection of road marking violations. Road marking violations (especially in Indonesia) often occur at road intersections. Therefore, in this research, the detection and counting of the number of road marking violators at road intersections will be carried out. We propose user-defined markings to detect road markin