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.
// Latest Journals
Research on Multi target Attack Path Planning and Energy Consumption for UAV Based on Improved Sparrow Search Algorithm
Unmanned Aerial Vehicle (UAV) have gained widespread application across various fields due to their low cost, high maneuverability, and ease of operation. However, challenges remain in optimizing path planning and energy consumption for UAV multi target attacks. The Sparrow Search Algorithm (SSA) is a novel metaheuristic optimization approach that emulates the social interaction and flight patterns of sparrows to maximize search efficiency. This paper proposed an Improved Sparrow Search Algorithm (ISSA) that first utilizes the Singer chaos ma p to enhance the initial population distribution, t
Enhancing UAV Security: A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection
The escalating reliance on unmanned flying vehicles in many domains highlights the need for robust security measures against cyber attack, physical attack, and the combination of cyber and physical attack. This paper explores the performance of several machine learning techniques (Random Forests, K-Nearest Neighbors, Support Vector Machines, and K-means Clustering) in identifying such threats using a comprehensive dataset that combines cyber and physical properties. We evaluate the performance of these algorithms in three different contexts: we evaluate the performance of these algorithms in t
ON THE GENERAL SOLUTION OF THE OPERATOR \square_{B,C}^k ITERATED k -TIMES
We study the general solution of the equation , where is the operator iterated -times and is defined by where , , is a non-negative integer and is the dimension of the , is a given generalized function, is an unknown generalized function, is a positive constant, and .
Structural Behavior of Pre-Damaged Reinforced Beam Strengthening by Ultra High Performance Concrete Overlay
Rebuilding damaged structures that already exist is one of the major issues facing civil engineers. To strengthen, repair, or retrofit these defects, common procedures include external pre-stressing, fiber-reinforced polymer wrapping, jacketing with steel and concrete, and patch repair. This study proposes using ultra-high-performance concrete strips as a strengthening material for the rehabilitation of damaged RC beams. UHPC provides high compressive strength, making it a highly desirable material in technical applications. A total of six reinforced concrete beams with a cross-section of 150
The Synthesis Of Silica Nanoparticles From Sodium Silicate Waste As Adsorbents
Sodium silicate is a compound consisting of sodium (Na), silicon (Si), and oxygen (O), which is often used in industry as an adhesive, concrete hardener, or as an additional ingredient in detergents. Silica nanoparticles are particles that have very small sizes, often in the nanometer range, which gives them a very large surface area compared to their volume, this characteristic makes them very efficient at capturing and binding molecules or ions from the surrounding environment. One of the main reasons why sodium silicate is used in the synthesis of silica nanoparticles is its relatively chea