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 paper focuses on the study of various reliability measures of a natural gas station comprising of three filtration systems (F), two heating systems (H), three pressure reduction systems (P) and one deodorizing system as a series parallel system comprising four subsystems. Subsystem-1 consists of three filtration systems operating under 2-out-of-3: G policy, susbsystem-2 is comprised of two heating systems operating under 1-out-of-2: G policy, subsystem-3 is composed of three pressure reduction systems operating under 1-out-of-3: G policy and subsystem-4 having one deodorizing system worki
This paper presents a contribution to stochastic risk modeling in climate change. We show that it would be important to control the number of observations in a given region, while the oscillation of the log-quantile function is small. More specifically, we have also shown that the extreme quantile is more stable the further away we are from the border. We will now show that the random variable is observed if it belongs to the interval of the non-negative and absolutely continuous variable
This paper investigates models of stochastic spatio-temporal dependence with geostatistical tools. Specifically, we use a time and space dependence ARMA model to propose new models of stochastic spatial and temporal tools such as variograms, correlograms and the madograms. we use a geostatistical tools as a spatio-temporal kriging to modling some health data. Again, we establish a link between the STARMA model and ordinary kriging, then apply it to covid-19 data.
Investigation of microcirculation is the key to diagnose circulatory dysfunction. Tissue circulation monitoring is a crucial part of the care of patients with severe chronic illnesses because it affects oxygen delivery to tissue. Recent technology, such as hyperspectral imaging, has allowed visualization of microcirculation at the price of high computation resources. Meanwhile, pulse oximeter performance varies with factors like the subject’s skin colour. This study explores the feasibility of using an in-house assembled multispectral photoacoustic (PA) system to investigate microcirculation
(1) AI technology is rapidly advancing, and many related tools have been developed in recent years. ChatGPT stands out as a leader, with access to vast online databases. Developers have leveraged widespread user engagement to train this powerful tool. The Kinematics of robotic arms is a significant research area, with forward kinematics analysis being an essential and fundamental aspect of robotics. (2) Many professionals in the robotics or automation industry are graduates of the mechanical engineering field. However, a deep understanding of kinematics typically requires advanced study at the