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.
This project focuses on the designing, simulation and implementation of an Shielded Capacitive Power Transfer (S-CPT) model operating at 6.78MHz. The project aims involve designing and simulating the structure of the S-CPT coupler and subsequently evaluating its performance using LTSpice simulations. Another objective is to develop a coupler structure using one of the chosen proposed design. Five coupler structure designs are proposed and simulated, with one being chosen for hardware development based on these simulations. The analysis shows the model's suitability in designing a 6.78MHz capac
The rising demand for prediction has made it more popular and a helpful tool. Thus most of us go for prediction most of the time. Housing prices keep changing day in and day out and sometimes are hyped rather than being based on valuation. Predicting housing prices with real factors is the main crux of our research project. Here we aim to make our evaluations based on every basic parameter that is considered while determining the price. We use various machine learning techniques in this pathway, and our results are not sole determination of one technique rather it is the weighted mean of vario
In this paper, various machine learning algorithms have been discussed. These algorithms are used for various purposes like data mining, image processing, predictive analytics, etc. to name a few. The main advantage of using machine learning is that, once an algorithm learns what to do with data, it can do its work automatically.
Remanufacturing is recognised as one of the keys to sustainability. However, there is a certain task during remanufacturing that requires labour and skill intensive, which leads to increasing remanufacturing time, cost of production, inconsistency of remanufactured parts and others. There is a great opportunity for a technology shift in the overall remanufacturing process which may reduce costs and improve remanufacturing efficiency. Integration of AI and AM is one of the key areas due to the ability of AI in detecting and determining defects and the ability of AM to manufacture complex parts
Perovskite solar cells have garnered significant attention from solar cell researchers due to their potential for achieving high efficiency, primarily attributed to their exceptional absorber layer. Moreover, there is a promising avenue for enhancing stability and reducing fabrication costs by substituting the transport layer. In this particular study, a comparative analysis was conducted between two devices featuring distinct structures: TiO2/CH3NH3PbI3/NiO and ZnO/CH3NH3PbI3/NiO. To evaluate the performance of each electron transport layer (ETL), the SCAPS 1D tool was employed. The investiga