Features of ensuring noise immunity of interface modules for temperature control in measuring instruments of spacecraft

An important stage in the development of temperature control interface modules for measuring instruments, implemented according to the main-modular principle of construction on the basis of a central instrument module and used as part of a measuring system on spacecraft for various purposes, is to ensure their noise-immune operation when the measuring system is exposed to a combination of various types of interference which determine the electromagnetic environment on the spacecraft. The article is devoted to the analysis of the characteristics of various types of interference affecting the measuring system, identifying the ways of their penetration into the temperature control interface module and determining the influence of the characteristics of these interference on the choice of measures to ensure the required noise immunity of the temperature control interface module as part of the measuring device. It is shown that the paths of interference penetration into the interface temperature control module depend on the frequency and time characteristics of the interference affecting the measuring system. Measures to mitigate these interference must be determined after assessing the danger of their penetration into the interface temperature control module for each path separately in the entire frequency range of their impact. Based on the results of such assessments, a set of reasonable measures should be determined to ensure the noise immunity of the interface temperature control module as part of the measuring device, implemented in combination at the design levels of the measuring system, the measuring device and the interface temperature control module.

Illumination Invariant Facial Expression Recognition using Convolutional Neural Networks

In this work, we propose a prospective novel method to address illumination invariant system for facial expression recognition. Facial expressions are used to convey nonverbal visual information among humans. This also plays a vital role in human-machine interface modules that have invoked attention of many researchers. Earlier machine learning algorithms require complex feature extraction algorithms and are relying on the size and uniqueness of features related to the subjects. In this paper, a deep convolutional neural network is proposed for facial expression recognition and it is trained on two publicly available datasets such as JAFFE and Yale databases under different illumination conditions. Furthermore, transfer learning is used with pre-trained networks such as AlexNet and ResNet-101 trained on ImageNet database. Experimental results show that the designed network could recognize up to 30% variation in the illumination and it achieves an accuracy of 92%.

A Research Study for the Design of a Portable and Configurable Ground Test System for the A400M Aircraft

This paper presents a study of the most suitable ground test equipment for the Airbus A400M aircraft aimed at optimizing a design that combines portability, flexibility, and configurability. The study is based on current trends in the configuration of the different parts that are involved in the process of designing Aircraft Interface Modules (AIMs). Researches have been conducted facing the real problems of data acquisition and control in the assembly, maintenance, and repair processes of aircraft. In this sense, the number of signals used simultaneously in historical tests has been determined to be a parameter that plays an important role in the analysis. This work is within the framework of a project that our working group of the Department of Electronic Technology has carried out together with the company Airbus Defense and Space (Airbus DS). Thus, all the analyses and researches for the different configurations of the test equipment have been validated for the company. Some state-of-the-art systems have been considered in the process of designing the structure of the test system while analyzing the main advantages and drawbacks. Every hardware or software component was identified and justified according to its importance with respect to the use case. A comparison of how every approach meets the requirements was taken into account to define a methodology for designing a portable and configurable ground testing system. Thus, the conclusions of our study are being used by Airbus DS for the design of a prototype for the next generation of AIMs in A400M.

Google Assistant Controlled Home Automation

World’s interest for power had become 85% somewhere in the range of 2010 and 2017 this expansion is more than the present all out utilization of power in India, USA, Japan, Australia consolidated. We can’t diminish the power development rate however we can decrease the measure of power squandered every year by killing our home machines when not being used. This venture shows a plan and model of Home Automation framework that will utilize ESP8266 Wi-Fi module as a system supplier in associating with different machines. The proposed framework has two principle segments. The primary fundamental part is Arduino, which controls and oversees contribution of Wi-Fi module. The other principle segment is Wi-Fi module through Wi-Fi module a web server can be added to the module which will help in controlling of gadgets over Internet. One server can oversee numerous equipment interface modules as long as it exists on Wi-Fi arrange inclusion. It bolsters a wide scope of home mechanization gadgets like power the board segments, and security parts. We need to make this automation framework incorporated and misleadingly astute. The framework is executed utilizing common family apparatuses Natural language voice directions are given to the Google Assistant and with the assistance of IFTTT (If This Then That) application and the Blynk application the directions are decoded and after that sent to the microcontroller, the microcontroller thusly controls the transfers associated with it as required, turning the gadget associated with the separate hand-off On or OFF according to the clients demand to the Google Assistant. The microcontroller utilized is Node MCU (ESP8266) and the correspondence between the microcontroller and the application is built up by means of Wi-Fi.

Sibe: a computation tool to apply protein sequence statistics to folding and design

ABSTRACTStatistical analysis plays a significant role in both protein sequences and structures, expanding in recent years from the studies of co-evolution guided single-site mutations to protein folding in silico. Here we describe a computational tool, termed Sibe, with a particular focus on protein sequence analysis, folding and design. Since Sibe has various easy-interface modules, expressive architecture and extensible codes, it is powerful in statistically analyzing sequence data and building energetic potentials in boosting both protein folding and design. In this study, Sibe is used to capture positionally conserved couplings between pairwise amino acids and help rational protein design, in which the pairwise couplings are filtered according to the relative entropy computed from the positional conservations and grouped into several ‘blocks’. A human β2-adrenergic receptor (β2AR) was used to demonstrated that those ‘blocks’ could contribute rational design at functional residues. In addition, Sibe provides protein folding modules based on both the positionally conserved couplings and well-established statistical potentials. Sibe provides various easy to use command-line interfaces in C++ and/or Python. Sibe was developed for compatibility with the ‘big data’ era, and it primarily focuses on protein sequence analysis, in silico folding and design, but it is also applicable to extend for other modeling and predictions of experimental measurements.

PLC-Based Safety Instrumented System of a Boiler using HAZOP

HAZOP Analysis is used to determine great deviations which will affect the operational safety of a boiler of an existing petrochemical plant that may affect on persons, material and the environment. PLC is proposed to provide the safety function to fit into the overall machine control system as a safety-related part. It reads from the temperature, pressure sensors via its input interface modules and outputs commands in the case of critical deviation via the output module to the final control elements such as actuators allowing an improvement in the safety of the overall boiler system.