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,

// Latest Journals

Pseudocodes in Machine Learning Dataset

In this paper, various machine learning algorithms have been discussed. These algorithms are used for various purposes like data mining, image processing, predictive analytics, etc. to name a few. The main advantage of using machine learning is that, once an algorithm learns what to do with data, it can do its work automatically.

Read more

Defect Detection Using Convolutional Neural Network (CNN) for Automotive Parts Remanufacturing

Remanufacturing is recognised as one of the keys to sustainability. However, there is a certain task during remanufacturing that requires labour and skill intensive, which leads to increasing remanufacturing time, cost of production, inconsistency of remanufactured parts and others. There is a great opportunity for a technology shift in the overall remanufacturing process which may reduce costs and improve remanufacturing efficiency. Integration of AI and AM is one of the key areas due to the ability of AI in detecting and determining defects and the ability of AM to manufacture complex parts

Read more

Performance Comparison of electron transport layer (ETL) for Perovskite Solar Cell with SCAPS-1D

Perovskite solar cells have garnered significant attention from solar cell researchers due to their potential for achieving high efficiency, primarily attributed to their exceptional absorber layer. Moreover, there is a promising avenue for enhancing stability and reducing fabrication costs by substituting the transport layer. In this particular study, a comparative analysis was conducted between two devices featuring distinct structures: TiO2/CH3NH3PbI3/NiO and ZnO/CH3NH3PbI3/NiO. To evaluate the performance of each electron transport layer (ETL), the SCAPS 1D tool was employed. The investiga

Read more

Enhanced Wireless End-to-End IoT Hydroponic System

In an uncontrolled environment, the effect of global warming pose challenges to successful plant cultivation. However, recent advancements have narrowed the gap between agricultural production and IoT technologies. It becomes crucial to exercise precise control over fertilizer quantities to moderate production expenses. The main goal of this project is to develop a wireless hydroponic system that can transmit node data from hydroponic site without Wi-Fi to another node with Wi-Fi coverage and push data to IoT cloud/middleware. This proposed system employs ESP32 devices, with one endpoint dedic

Read more

Location-based Service Uncertainty Resolving Model in Self-adaptive System Using Model-driven Formal Engineering Method

The Self-adaptive System (SAS) has the ability to react and adapt automatically according to the current contexts and situations. The design and analysis in software engineering play an important phase to build such systems. SAS needs Self-adaptive Process (SAP) to initiate the realization of the functions. Based on the previous studies by other researchers, common problems in SAS are their uncertainties in providing services. This study needs to analyze service uncertainties with Self-adaptive Model (SAM) in SAS. SAM which will be mapped with SAS are MAPE-K and ASTRO-CAPtEvo. This research ta

Read more