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,

// Latest Journals

Separation of CO2 from N2 mixture by membrane gas – solvent absorption process with enhancement effect of TiO2 and SiO2 nanoparticles

The aim of this paper is to study and evaluate various operational variables, including gas mixture flow rate, nanomaterial type and concentration and circulating absorbent solution flow rate by using a PTFE hollow fiber membrane contactor with a potassium carbonate solution containing titanium dioxide and silica nanomaterial as additives to separate carbon dioxide from CO2/N2 mixture. The results indicate that the CO2 removal efficiency at 0.5 wt.% titanium dioxide (50 nm), significantly increased from 38% to 70%, while absorption flux increased from 2.024×10-3 to 3.627×10-3 (mole /(m2. s))

Ionic Liquids for Enhanced Oil Recovery: An Experimental Study

Around forty percent of the world's oil reserves are located in carbonate rocks. Recoveries from waterflooding are poor in these reservoirs, making them prime targets for EOR techniques. Surfactant flooding is one form of chemically enhanced oil recovery (CEOR) that can improve production from these reservoirs by lowering interfacial tension (IFT) and altering wettability. This research was aimed at discovering how ionic liquids (ILs), a novel class of surfactants, might affect wettability and how they can be used to decrease interfacial tension (IFT). Pendant drop and contact angle experiment

Performance Analysis of Multi-oriented Residential Rooftop PV System in Indonesia Towards Net Zero Emission by 2060

Performance of 5 kWp Multi-Oriented Photovoltaic (PV) Power Plant installed in one of the houses in Jakarta, Indonesia has been obtained by evaluating the performance of the rooftop PV Power Plant system. To calculate the impact of the system on Net Zero Emissions (NZE), it is necessary to evaluate the performance to determine the quality of the installed system's performance by calculating the Performance Ratio (PR) and the Capacity Factor (CF). The data needed to calculate PR and CF consist of PV array outputs; irradiation that falls on the surface of the array, ambient temperature and PV mo

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

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