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.
Path losses are an important measure of the effectiveness of wireless communication systems exposed to the effects of radio propagation in the surrounding environment. For many years, the correlations proposed by various academics have been used to calculate path loss for waves propagating in various environments with constrained operational parameters. In this study, alternative model is presented, based on artificial neural network weights, to the log-normal shadowing model used in calculating path losses across concrete surfaces. With path loss as the target variable, the data of the physic
Water quality models are an important tool for forecasting dissolved oxygen (DO) concentration in water bodies and it is an essential part of every water quality management. The accuracy of the Convolutional Neural Network (CNN) in modeling the concentration of DO was investigated in this research. The parameters selected for this simulation include; Ammonia, Nitrate, pH, suspended solids, temperature, and water turbidity. The model was implemented by using the measured data obtained from uMgeni waterworks, during the year 2014. Various input combinations of these data were applied as inputs t
Manufacturing industry produce finished goods on a large scale, employing various methods, tools, machines, and labour. This vast diversity of production goods leads to unique production processes, operating systems, production layouts, and monitoring systems for each product and industry. Understanding the complexities of each manufacturing sector is crucial to optimising operational efficiency, ensuring the production of high-quality goods, and enhance competitiveness within the manufacturing industry. This paper aims to gather basic information on local manufacturing industry, understand th
The utilization of fossil fuels has been a significant issue due to fears of the vast imports and combustion of fossil fuels leading to rising emissions. This has encouraged the Indonesian government to enhance renewable energy production with more effective and efficient processes that are in line with the implementation of the green industry concept. So, the government plans to design up to 23% of its energy from renewable sources such as biodiesel by 2025 and will gradually de-dieselize all fossil-fuel-based power plants. Hydrodeoxygenation of vegetable oils has been researched as an altern
In an era characterized by rapid modernization and technological advancement, human scientific ingenuity continues to progress daily. This dynamic environment, however, extends to microorganisms, including viruses and bacteria, which also evolve over time. This evolution can have adverse effects on humanity, leading to the spread of diseases that persist today. To mitigate these challenges, harnessing the full potential of science and technology becomes imperative, aimed at minimizing the extent of damage and loss of life. This research is designed to ensure the proper use of face masks and th