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.
Assume that G = (V, E) is a finite, connected, basic graph. If, for every y ∈ V(G), the code of y with respect to T, represented by CT (y), which is defined as CT (y) = (d(u1, y), d(u2, y),.., d(uk, y), is different for distinct y, then the subset T = {u1, u2,..., uk}of V(G) is said to be a resolving set. Dim (G) represents the dimension of G, which is the least cardinality of a resolving set. The resolving set S is secure if, for every t ∈ V – S, there exists r ∈ S such that (S – {r}) ⋃ {t} is a resolving set. The secure metric dimension of 𝐺 is the cardinal number of the minim
In order to lessen the destructive effects of uncontrolled wildfires on both human settlements and natural ecosystems, wildfire detection become more important. This project focuses on leveraging deep learning techniques for the detection of wildfires, emphasizing their severe threat to property, human life, and ecosystems. Timely and accurate wildfire detection is crucial for effective response and mitigation. The study utilizes convolutional neural networks (CNNs) to analyze diverse data sources like satellite photos, aerial images, and real-time video feeds, eliminating the need for human f
The need for higher data transmission speeds in various applications is driving the need for broader operational frequency ranges in upcoming 5G/6G communication systems. Consequently, this imposes stringent requirements for the development of appropriate antennas. Reflectarrays (RAs) are being considered as promising options for supporting 5G/6G systems because of their many benefits, including as high gain, beam shaping, beam scanning, reconfigurability, and multi-beam features. Nevertheless, the poor efficiency of reflectarrays is attributed to their narrowband nature. This work comprehensi
The capacity to store significant amounts of energy using a straightforward device with a lengthy lifespan renders capacitors an appealing prospect for the future of electric power storage. Nevertheless, their low permittivity has hindered their widespread application, including in electric vehicles and electronic devices. Efforts are underway to enhance ceramic and polymer materials for energy storage; however, the limitations of dielectrics constrain their utility for high-energy storage purposes. Consequently, ceramic composites and polymers have garnered considerable interest due to their
Convolutional Neural Networks (CNNs) have demonstrated remarkable success in various image recognition and classification tasks. This model cannot perform well in challenging conditions, such as, low light, varying camera angles and occlusions or crowded scenes. Therefore, this research Developed Spider wasp Optimized Convolutional neural network base on real time face recognition system (SWO-CNN). The outcomes of this research thus lend credence to the assertion that the SWO method, when combined with CNN technology, enhanced the detection of faces while also accelerating improved. This resea