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 introduces an innovative asset-tracking system driven by the Internet of Things (IoT), revolutionizing the landscape of asset management through the seamless integration of advanced hardware and software elements. Central to this system is the ESP32 microcontroller, serving as the orchestrator of a sophisticated ecosystem. Indoor asset tracking leverages Radio Frequency Identification (RFID) technology, utilizing RFID tags for accurate asset identification and localization within indoor environments. Conversely, outdoor tracking exploits the Global Positioning System (GPS) module, e
For the valorization of the medicinal flora of the region of Taounate, an ethnobotanical survey was carried out among the local population. The results obtained allowed us to identify a total of 80 species of MAP used by the rural population of which the most exploited are: Inula viscosa, Salvia officinalis, Mentha pulégium, Thymus vulgaris et Rosmarinus officinalis. The most used part is the leaves prepared by decoction as the most used mode and administered orally in most cases to treat different pathologies whose main ones are: digestive disorders first, blood pressure, headaches, and sale
This study presents a comprehensive review of the Wireless Body Area Network (WBAN), an emerging and unique technology widely employed in human health monitoring to address the increasing demand for healthcare services. WBAN enables continuous remote monitoring in real-time by utilizing biomedical sensor nodes strategically placed in or around a patient’s body to collect human physical parameters. The paper discusses the key characteristics of WBAN, focusing on their system architecture, types of sensor nodes, and network topology. Furthermore, it examines the communication standards adopted
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