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.
Masked face recognition remains a major challenge in biometric authentication due to occlusion, illumination variation, disguises, and diverse environments. We propose RACE (RetinaFace detection with ArcFace embeddings and Classifier Ensemble) approach, a lightweight yet robust framework integrating face alignment, discriminative feature extraction, and decision-level fusion. RetinaFace performs detection and alignment, ArcFace generates compact embeddings, and three complementary classifiers—Prototype, k-Nearest Neighbors (kNN), and Linear head—are combined through majority voting. The fr
The power output of photovoltaic (PV) systems fluctuates significantly due to variations in solar irradiance and weather conditions, creating challenges for reliable energy management and system optimization. Although performance can be improved through design features such as solar trackers, reflectors, and adjustable tilt mechanisms, these modifications also introduce added complexity and uncertainty in predicting PV output. Recent approaches using standalone artificial intelligence (AI) models, including machine learning (ML) and deep learning (DL) techniques, have shown promise for PV outp
Patent research involves processing large volumes of unstructured data, making search and analytics processes resource-intensive and expert-dependent. This paper addresses the challenge of automating these procedures at the intersection of computational law and the data-driven approach. An end-to-end data-driven pipeline for automating patent search and analytics on the KNIME platform was developed and tested. A formal model was created by adapting the CRISP-DM methodology for working with Rospatent open data, which confirmed the hypothesis about expanding the subject area of computational law
This research presents the development of an adaptive control system to optimize electrical energy consumption in a smart office environment integrated with microgrids and solar energy. A primary challenge in building automation systems is balancing energy efficiency with occupant comfort amidst dynamic environmental conditions. Therefore, an adaptive control algorithm based on Mamdani-type fuzzy logic is implemented to automatically regulate output loads for air conditioning (AC) and lighting intensity. The system’s input variables include room temperature, light intensity, and occupancy st
The article is a research on searching for an optimal solution for monitoring devices of architecture involving multiprocessor way of organizing computational processes. The sought monitoring system should reduce the risks of such problems typical for such architecture as difficulties of synchronization of parallel processes and memory access conflicts, including memory access heterogeneity. The article proposes a solution for designing a hybrid development of a monitoring system based on modules of a ready-made IT solution. The system realizes the logic of end-to-end monitoring of devices of