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.
Chemical sensors have become increasingly popular in medical fields because of their potential benefits. These benefits include a small footprint, extreme durability, low output impedance, and lightning-fast response. This research aims to create a biosensor for measuring pH using an ion-sensitive field-effect transistor (ISFET). Silvaco software was used for both the design and modelling of this ISFET. In this work, the ISFET operating between pH 2 and 12 is designed and simulated for biomedical applications. The sensitivity was measured using the critical pH value and the threshold voltage p
The market for 3D printing was estimated to be worth 10.2 billion USD in 2018 and is anticipated to increase. The widespread use of 3D printing may create new industries, including home-based manufacturing, and present opportunities for business owners. Today, 3D printing technology is successfully used to produce most goods used today, from basic plastics to sophisticated ceramics and metallics. The paper begins with the analysis of existing literature on 3D printing technology in developing nations. Data on 3D printing technology in many nations is examined to identify the main elements for
This study was conducted based on the accumulation of dust and dirt particles on Photovoltaic (PV) panels, which leads to a reduction in the solar energy reaching the cells and, consequently, a decrease in their overall power output. Therefore, the cleaning of PV panels poses a problem of significant practical engineering interest in solar PV power generation. To address the regular cleaning of this dust, we have developed an automatic cleaning system designed to remove dust from the solar panels. In this paper, we review the problem and discuss the method for dust removal. The project focuses
There are still many types of tasks that are carried out manually by humans today, particularly in the industrial sector, and these tasks demand a significant amount of energy and complete attention. The purpose of this research is to identify a robot arm suitable for integration with LabVIEW GUI, implement software-based communication control for a model-scaled robot system, such as a robot gripper, and perform basic robot control tasks like pick-and-place and position control. The research will be conducted using LabVIEW GUI and serial communication through an Arduino Mega board and Arduino
Magnetic Resonance Imaging (MRI) plays a crucial role in diagnosing brain disorders, with stroke being a significant category among them. Recent studies emphasize the importance of swift treatment for stroke, known as "time is brain," as early intervention within six hours of stroke onset can save lives and improve outcomes. However, the conventional manual diagnosis of brain stroke by neuroradiologists is subjective and time-consuming. To address this issue, this study presents an automatic technique for detecting, segmenting, and classifying brain stroke lesions from MRI images. The techniqu