This paper presents the design and experimental study of a new electronic ESP32-based control device of an anti-mold enclosure for the conservation of luxury leather goods. The control specifications deal with temperature control inside the enclosure between 18 oC and 25 oC, while maintaining the internal humidity rate between 50% and 60%, for the sake of better conservation of leather products. The virtual schematic diagram of the device is developed with EasyEDA, then the virtual assembly diagram is realized using Fritzing. The complete experimental device is realized and well tested using several electronic modules, including: DHT22 sensor, ESP32 microcontroller, Peltier effect module and LCD display. In addition, an application program is developed using Arduino C++ and uploaded into ESP32. Finally, the testing results presented and discussed confirm the quality and originality of this novel device for digital control of leather product preservation enclosures.

This paper is deals with a solar battery charger to be embedded into an Android student bag model. It is a new multipurpose ESP32-based microcontroller for: a) solar energy conversion into regulated DC energy for charging Lithium-Polymer batteries; b) digital acquisition of battery electrical energy data; c) Bluetooth transmission of this energy data to an Android monitor. On the ESP32 microcontroller side, the application program required for data acquisition and Bluetooth server configuration, is developed using Arduino IDE-C++. Then, on the Android terminal side, a Smartphone equipped with a configured application for virtual monitoring of the charging energy data of the powered battery. Finally, an experimental prototype of the proposed device is pointed out and well tested, then he testing results obtained and presented are very satisfactory.

This paper focuses on the design and implementation of a new Android biomedical application. It is usable for remote monitoring on smartphone, and can acquire and remote monitoring at real time a total of 4 biologic state parameters, of the 2nd degree burned skin of patients. The local digital acquisition of these parameters is done by a new custom local biomedical instrument developed and well tested in our previous research works. The proposed Android application is built within App Inventor framework, which is an Android application development tool without high level programming requirements, and offering to developers’ facilities for creating interactive graphical interfaces, as well as intuitive associated edition blocks. The proposed biomedical application offers to users a convivial man user interface, as well as a rich menu system involving the lists of the following biomedical functionalities: doctors, biological parameters, patients and medical prescriptions in distress cases.

This work focuses on the structure of the duty cycle modulator analog-to-digital converter. We propose to model again its complete chain, this time by parallelizing its demodulator filter. More specifically, we want to optimize the performance of this type of converter that no longer needs to make this proof in the field of real-time digital conversion. Thus, we will thanks to the so-called residue method, make parallel the classic demodulation filter and thereby obtain a new conversion chain. Following up with software tools such as MATLAB; System Generator and ISE Xilinx, we implement and simulate this new analog/digital converter chain with duty cycle modulator. After this implementation and simulation which uses as input signal, a sinusoid at a frequency of f = 30Hz, the results obtained show us that it is more judicious and advantageous to use this new conversion chain because with a quadratic error E = 0.8208, we do not lose the quality of the signal but we save in hardware resources; with a harmonic distortion rate THD = 0.6099, we have a type of converter that further reduces harmonics, and offers us a demodulation time saving of about 76,2%.

This paper presents a new acquisition and digital processing system of an ECG (Electrocardiogram) signal. The proposed technique is based on ECG signal processing in Matlab framework, using Duty Cycle Modulation (DCM) and IIR (infinite Impulse Response) derivative filter, with implementation into DsPBuilder. In fact, the detection of the R wave allows to extract the time interval between two consecutive R waves, in order to estimate the corresponding heart rate. Hence, the proposed simple algorithm consists of the following four relevant steps: derivative filtering, detection of peaks, elimination of bad peaks and calculation the heart rate. This algorithm considers that the acquisition of the ECG signal is done by duty cycle modulation, because in this case a simple low-pass decimation filter with bandwidth of 30Hz can simultaneously eliminates high frequency noise while extracting the ECG signal. The duty-cycle modulation circuit requires a maximum of 58 KHz frequency. Then, the digital part implemented using DsPBuilder blocks, consists of a decimation filter with 50 MHz sampling frequency, followed by the proposed algorithmic module. A virtual simulation and a Hardware-In-the-Loop (HIL) co-simulation using the DE10-NANO-SoC board with embedded FPGA-SoC 5CSEBA6U23I7, have been successfully conducted using imported signals into Matlab from Physionet.