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.
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
In an uncontrolled environment, the effect of global warming pose challenges to successful plant cultivation. However, recent advancements have narrowed the gap between agricultural production and IoT technologies. It becomes crucial to exercise precise control over fertilizer quantities to moderate production expenses. The main goal of this project is to develop a wireless hydroponic system that can transmit node data from hydroponic site without Wi-Fi to another node with Wi-Fi coverage and push data to IoT cloud/middleware. This proposed system employs ESP32 devices, with one endpoint dedic
The Self-adaptive System (SAS) has the ability to react and adapt automatically according to the current contexts and situations. The design and analysis in software engineering play an important phase to build such systems. SAS needs Self-adaptive Process (SAP) to initiate the realization of the functions. Based on the previous studies by other researchers, common problems in SAS are their uncertainties in providing services. This study needs to analyze service uncertainties with Self-adaptive Model (SAM) in SAS. SAM which will be mapped with SAS are MAPE-K and ASTRO-CAPtEvo. This research ta