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.
The Active Noise Control System is carried out by measuring variations in the measuring distance. The method used in the research used the spherical method. The aim of the research is to obtain noise reduction that propagates in the circle. The Active Noise Control device used functions to reduce noise from noise sources. This tool is a self-designed device consisting of 6 units which function to produce sound to counteract noise originating from the source. The source of noise in this research is the USU Generation III NVC Unmanned Aircraft with a 2-stroke engine with the DLE Gas Engine-30 se
In this article, the authors present a detailed analysis of Russian tender aggregators. It is proposed to consider which innovative solutions are used by Russian systems and how they can be useful for world practice. The key similarities and differences of the tender systems will also be described, which will identify the strengths and weaknesses of each model.
The paper discusses the problem of creating a composite indicator for assessing the effectiveness of recommendation system algorithms. This indicator was developed by combining several metrics using the entropy method. The study is based on testing a set of 12 algorithms and 3 datasets. Foreach combination, several criteria used in practice for evaluating recommendation systems were applied. The results indicate that the composite indicator is a useful tool for assessing algorithm performance. It was found that algorithm quality varies depending on dataset size and other characteristics. The g
The influence of the main parameters of the collaborative filtering algorithm on the quality of personalized recommendations is investigated. The number of users in the system and the number of nearest neighbors involved in the calculation are used as independent variables in the experiment. For each combination of these parameters, the mean absolute error is measured, which reflects the accuracy of the recommendations, as well as the algorithm's operation time. Based on the obtained data, heat maps are created that allow visualizing the estimates obtained. Optimal areas are identified in whic
The computational complexity requirement of an acoustic howling controller is a key factor determining its implementability, especially on resource-constrained hardware platform. This paper explores the development of a howling control algorithm that has very low computational cost and is implementable without requiring the use of hardware multipliers. The algorithm was analysed, modelled in a MATLAB® environment, and tested with speech and audio signals to obtain its performance indices. The modified gain toggling technique has a MSG Increase figure of 9.215 dB and 6.826 dB for speech and au