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.
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
Taking Xinzheng City as an example, this study deeply discusses the application technology and evaluation system of green building of student apartment, aiming to scientifically guide the green transformation of student apartment, realize energy conservation, environmental protection and efficient utilization of resources, and promote the sustainable development of the construction industry. First of all, the construction principle of the evaluation system is determined, and the evaluation principle of scientific and reasonable, simple operation and easy to popularize is established, focusing
With the global pursuit of sustainable development goals, green building technology has attracted increasingly more attention in the construction of student apartments in the Central Plains of China. This study takes Xinzheng student apartment as a case to explore the application status, challenges and development strategies of green building technology. Through the field investigation and case analysis of several student apartment projects in Xinzheng City, we identified the key problems in the design and construction, such as low energy efficiency, low resource utilization and poor living en