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

ACTUAL AND SIMULATED TECHNICAL PERFORMANCE OF GRID-CONNECTED PHOTOVOLTAIC SYSTEMS WITH ASSESSMENT OF THERMAL LOSS IN TROPICAL RAINFOREST CLIMATE

The growing utilization of photovoltaic (PV) systems has driven the development of software simulation tools to improve the design and performance of such systems. However, the persistent challenge is the discrepancies between simulated and actual system performance. This study evaluated the technical performance of retrofitted grid-connected PV (GCPV) systems, focusing on performance ratio (PR) under tropical climate condition. Since previous studies have revealed that thermal loss accounts for up to 14% of the total system loss, this study has analysed the actual and PVsyst simulated thermal

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Simulation of Modular Exponential Circuit via Quantum Fourier Transform in Qiskit

Modular exponents are the most widely used functions in the field of computational science and cryptography. In the RSA cryptographic system, proposed by Ron Rivest, Adi Shamir, and Leonard Adleman, the modular exponential function is used for integer factorization. Peter Shor in 1994 had used the approach of quantum computation to determine the period of the modular exponential function. In 2012, Archimedes Pavlidis and Dimitris Gizopoulos proposed a new approach to increase the efficiency of modular exponential calculations by performing the quantum Fourier transform (QFT). This paper will d

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Muscle Fatigue Detection and Classification based on Electromyography Signal for Riding Motorcycle

In both rural and urban regions in Asian countries, where rates of motorcycle ownership are seven times greater than the global average. Especially on long rides, the majority of bikers frequently experience muscle fatigue. Electromyography (EMG) is a biological signal that detects electrical currents generated during muscle contraction. The presented study did not have a standard in measuring the degree of muscle fatigue. Thus, this paper is proposed to extract the EMG signal for muscle fatigue detection onset using time-frequency distribution, S-Transform is utillised. Muscle fatigue feature

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On Topological Indices of a Graph Associated to the Direct Product of Two Groups

The topological structure or connectedness of a molecular network can be understood through the use of topological indices, which are numerical values. The topological indices are widely used in various disciplines including chemistry, mathematics, physics and many applications including the drug design and chemical property studies. In this paper, the topological indices of the non-commuting for the direct product of an abelian group and the dihedral groups are determined. The non-commuting graph is a graph where two of its vertices are adjacent if and only if they represent elements in a gro

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Analysis of Ischemic Stroke Imaging using Deep Learning : A Comprehensive Review

Ischemic stroke is a cerebrovascular condition characterized by a high rate of illness and death, presenting a significant challenge to human health and survival. At present, the diagnosis and management of ischemic stroke heavily rely on the visual examination of noncontrast computed tomography (CT) or magnetic resonance imaging (MRI). However, the accuracy of these diagnostic methods is influenced by equipment-related artifacts, noise, and the experience of the radiologist. To address these limitations, there has been a notable increase in the development of computer-aided diagnostic (CAD) t

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