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.
Electrocardiogram (ECG) is a bio-signal that is most utilized in healthcare, allowing for pulse monitoring and health assessment. Expanding ECG applications beyond hospitals, this study explores innovative approaches using ESP8266 and Internet of Things (IoT) technology for emergency alert systems. The main objective of the project is the development of an IoT-based Personal Emergency Response System utilizing ECG signals. The study involves analysed data from the ECG simulator MS400 to categorize heart rate conditions (bradycardia, normal, tachycardia). Three ECG signals in beats per minute (
One of the best staple foods, rice is widely consumed by the general populace in Asian nations. It's challenging to distinguish between the different varieties of rice. However, this can be avoided by categorizing it according to its shape and morphological features. Main purpose of this paper is to present an image processing-based solution to classify the different varieties of rice for same brand. Artificial Neural Network (ANN), which is the branch of Artificial Intelligence (AI) was used to conduct the classification and become the benchmark in terms of accuracy. The classification of ric
This project focuses on the designing, simulation and implementation of an Shielded Capacitive Power Transfer (S-CPT) model operating at 6.78MHz. The project aims involve designing and simulating the structure of the S-CPT coupler and subsequently evaluating its performance using LTSpice simulations. Another objective is to develop a coupler structure using one of the chosen proposed design. Five coupler structure designs are proposed and simulated, with one being chosen for hardware development based on these simulations. The analysis shows the model's suitability in designing a 6.78MHz capac
The rising demand for prediction has made it more popular and a helpful tool. Thus most of us go for prediction most of the time. Housing prices keep changing day in and day out and sometimes are hyped rather than being based on valuation. Predicting housing prices with real factors is the main crux of our research project. Here we aim to make our evaluations based on every basic parameter that is considered while determining the price. We use various machine learning techniques in this pathway, and our results are not sole determination of one technique rather it is the weighted mean of vario
In this paper, various machine learning algorithms have been discussed. These algorithms are used for various purposes like data mining, image processing, predictive analytics, etc. to name a few. The main advantage of using machine learning is that, once an algorithm learns what to do with data, it can do its work automatically.