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 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
Dams demand continuous safety control for water resource management, hydroelectric power, and flood prevention. This study delves into the crucial aspect of initial validation for dam material properties, a fundamental step in guaranteeing the structural integrity of these vital infrastructures. The research focuses on a chute spillway structure comprised of concrete and granite. The methodology involves identifying dam materials, extracting samples through in-situ coring, and subjecting them to compression tests for mechanical property evaluation. Young's modulus calculations consider reinfor
This paper deals with an application of Tukey's max-stable processes to spatial risk measures. The spatial risk measures used here are risk measures constructed on the basis of normalized spatially aggregated loss. In its construction, this risk measure takes extreme risks into account. The measures we obtain offer greater flexibility in modeling spatial dependency structures. In this section, we examine the different properties.