Using IoT to Smart Security Door System with Face Tracking Camera

Security is a serious concern, whether it may be the security of assets, data and human life. Providing humans with security and safety for their belongings and items is an important need. A smart lock door project/ with different types of methods for entry, like fingerprint and authentication PIN code is suggested with an unnoticeable face tracking camera capturing a photo in case of error data entry. It is to be controlled via the user’s smartphone using Blynk with the implementation of IoT. This technology is made with two microcontrollers. ESP32 is used to control the solenoid lock, fingerprint sensor and keypad. ESP32-CAM is used to capture a photo and send it to the owner’s smartphone to be viewed on Telegram application. Many conclusions are extracted from system results, as well as suggested ideas for future work.

Separate Analysis of Remote Sensing Information of Structures of Different Geological Periods and Quantitative Study of Corresponding Tectonic Stress Fields

The structural feature shown on a remote sensing image is a synthetic result ofcombination of the deformations produced during the entire geological history of an area.Therefore, the respective tectonic stress field of each of the different stages in the complexdeformation of an area can be reconstructed in three steps: (1) geological structures formed atdifferent times are distinguished in remote sensing image interpretation; (2) structuraldeformation fields at different stages are determined by analyzing relationships betweenmicrostructures (joints and fractures) and the related structures (folds and faults); and (3)tectonic stress fields at different stages are respectively recovered through a study of the featuresof structural deformation fields in different periods. Circular structures and related circlular and radial joints are correlated in space to con-cealed structural rises. The authors propose a new method for establishing a natural model ofthe concealed structural rises and calculating the tectonic stress field by using quantitative dataof the remote sensing information of circular structures and related linear structures.

Development of a LabVIEW Application for Measurement and Analysis of Acceleration Signals from an External Reference

LabVIEW software is a very programmable tool, which can be easily retrofitted and customized to build new aspects of control and database monitoring systems for working with electrical devices. In an instructional environment, the basic LabVIEW software processes provide simulation model of virtual sensors and their associated acceleration output from virtual motion input. This simulation can be used as part of an inclusive perception academic training system for engineering programs. Three virtual accelerometers were used to demonstrate the utility of simulating the acceleration force and vibration principles. A new LabVIEW front panel was developed to represent the sum of the simulation forces acting on each of the 3-axis semi-accelerometers. Thus, raw data strings of the 3-axis semi-accelerometers could be input as simulated real data and analyzed for time and the x, y, z-axis coordinate values. The toolkit of the LabVIEW platform is easy to implement, so engineers and scientists, who are very interested in knowing recent applications of the modem technology and the impact of its development processes, could be able to recognize the LabVIEW toolkits structure optimally, have a comprehensive practice with it and possess an extensive concept of the analysis techniques of this engineering language. Completely, the platform can also be quickly reconfigured to meet any specific laboratory technical requirements. So, this simulation study is underpinning of the accelerated coordinates understanding and has also been exclusive to create a virtual and vital acceleration application via the LabVIEW driver software.

Damping Characteristic Analysis of Wind-thermal-bundled Systems

Wind-thermal-bundled system has emerged as the predominant type of power system,incorporating a significant proportion of renewable energy.The dynamic interaction mechanism of the system is complex,and the issue of oscillation stability is significant.In this paper,the damping characteristics of the direct current(DC)capacitance oscillation mode are analyzed using the path analysis method(PAM).This method combines the transfer-function block diagram with the damping torque analysis(DTA).Firstly,the linear models of the permanent magnet synchronous generator(PMSG),the synchronous generator(SG),and the alternating current(AC)grid are established based on the transfer functions.The closed-loop transferfunction block diagram of the wind-thermal-bundled systems is derived.Secondly,the block diagram reveals the damping path and the dynamic interaction mechanism of the system.According to the superposition principle,the transfer-function block diagram is reconstructed to achieve the damping separation.The damping coefficient of the DTA is used to quantify the effect of the interaction between the subsystems on the damping characteristics of the oscillation mode.Then,the eigenvalue analysis is used to analyze the system stability.Finally,the damping characteristic analysis is validated by time-domain simulations.