PC

Motors are the necessary machines in the production of Robots and many Automation and Electrical, Electronic and Mechanical devices. This article deals with motors which are to be interfaced with the help of NI-MYRIO through NI-LabVIEW software. NI-MYRIO has inbuilt Analog and Digital signal Ports which provide necessary voltage and current to drive or to give excitation to a medium/high voltage dc or ac circuit. Relay Circuits require 5V signal from NI-MYRIO to provide 12V input for the DC Motor. When NI-MYRIO is interfaced with motors and PC installed with LabVIEW 2014, then with the help of PC or a Smartphone one can control the movements of the DC Motor

— Ration Card is very important for govt to keep log and other information about people. It is also useful for people to get govt subsidy, gas connection and even useful for residential proof. It has detail about every member in family. All the people use ration card to buy various things from ration shop like groceries,oil, kerosene. This system helps people to get this supplies at low price directly from government. This system has some drawbacks like the most of work is done by old or traditional instruments and mostly its manual work which gives many errors in measurement , and if people fail to buy their monthly subsidy then these shopkeepers sell this to other people at higher price and make money. All this happens because there is no centralized technical database for this information. The loss in this process is of people and govt who don't have any idea about all this. Our main objective here is to make this process automatic .In this paper, proposed an Automatic Ration Materials Distribution Based on GSM (Global System for Mobile) and RFID (Radio Frequency Identification) technology instead of ration cards. When people come to ration shop they have to scan their RFID card,these cards are magnetic and has information of the beneficiary. After scanning card it is verified through database to see if it is valid or not. Whenever the user logins in system they send an otp to registered number for security purpose. If its valid then the beneficiary selects material and quantity. After receiving these material the customer pays for it. In this way we can create transparency in this process.

A strategy for adaptive control and energetic optimization of aerobic fermentors was implemented, with both air flow and agitation speed as manipulated variables. This strategy is separable in its components: control, optimization, estimation. We optimized parameter’s estimation (from the usual KLa correlation) using sinusoidal excitation of air flow and agitation speed. We have implemented parameter’s estimation trough recursive least squares algorithm with forgetting factor. We carried separate essays on control, optimization and estimation algorithms. We carried our essays using an original computational simulation environment, with noise and delay generating facilities for data sampling and filtering.

Our results show the convergence and robustness of the estimation algorithm used, improved with use of both forgetting factor and KLa dead-band facilities. Control algorithm used in our work compares favorably with PID using the integrated area criteria for deviation between oxygen molarity and critical molarity (set point). Optimization algorithm clearly reduces energetic consumption, respecting critical molarity. Integration of control, optimization and adaptive algorithms was implemented, but future work is needed for stability. Methods were defined and implemented for stability improvement. We have implemented data acquisition and computer manipulation of air flow and agitation speed for actual fermentors.

I n this study, poly carbonate (PC) and poly (ethylene terephthalate) (PET) were reactive melt-blended under two different conditions to produce PC/PET copolymers. For each condition, samples were taken at specified mixing times representative a specific structure of copolymers and each one employed to physically compatibilize a PC/PET blend with a fixed composition. Reactive blending and copolymer structure are described by solubility analysis results. Continues declining and going through a minimum are two trends of solubility versus mixing time depending on reactive blending condition. Decreasing and increasing patterns of solubility curves were attributed to the formation of copolymers with longer and shorter block lengths, respectively, and the level of solubility was related to the amount of produced copolymers. Differential scanning calorimetry (DSC) and scanning electron microscopy (SEM) techniques were employed to investigate blend compatibility. The content and structure of copolymers showed favorable correlation of T g differences of blend components and PET crystallinity. As expected, T g of blend components approached to each other by the addition of copolymers, and the copolymers with longer block length caused less T g differences. The melting point and crystallinity of PET were affected by introducing the copolymers too. In addition to the main melting endotherm, melting endotherm peaks of compatibilized blends had a shoulder that its corresponding melting point and crystallinity are related to the copolymer structure so that the longer length of block copolymer or higher its amount leads to the higher melting points. The SEM micrographs showed that, after the addition of the copolymer, smaller PET particles formed and uniformly dispersed in the PC matrix. A strong correlation between the blend morphology and the level of blend compatibility was demonstrated. The more compatibilized PC/PET blend, the better dispersion of PET particles in the PC matrix was obtained. The results of this study could be a basis for designing and production of compatibilizers suitable to achieve a desired level of compatibility in PC and polyester blends, specially in PC/PET blend. Polyolefins J (2019) 6: 75-83

This paper describes a wireless multichannel EEG recording system. EEG is a recording of the electrical activity of the brain which is recorded from the scalp. The system has two parts first is transmitter and second is receiver. The transmitter consists of electrodes, preprocessing section, processing unit, switches and Zigbee module. The receiver consist of Zigbee module, display section, processing unit, memory, switches and LCD. The captured EEG signals are amplified, filtered and are converted to digital by using A/D converter built in MSP430 microcontroller. The digital signals are transmitted via Zigbee to receiver side. Upon receiving these digital signals by Zigbee module can be displayed on PC via serial port. The features of this system are portability and low power consumption.

Abstract: Privacy and data security have been issues since the advent of paper and pencil. But with the emergence of networked computing and the Internet, controls that worked effectively for the last 20 or 30 years have to be reevaluated. This paper addresses first the protection of organizational data that has to be reassessed.

In order to link missile of actuating mechanism to CAN bus, an interface between actuating mechanism and CAN bus has been designed. It provides a method for the designing and realization of the hardware and software of interface. This interface has been used in reality. It proves that this design is feasible.

The expectation-maximization maximum-likelihood (EM-ML) algorithm for image reconstruction in positron emission tomography (PET) essentially solves a large linear system of equations. In this paper, we study computational aspects of a recently developed preprocessing scheme for focusing the attention, and thus the computational resources, on a subset of the equations and unknowns in order to reduce the storage, computation, and communication requirements of the EM-ML algorithm. The approach is completely data-driven and uses no prior anatomic knowledge. The experimental results are obtained from runs on a small network of workstations using simulated phantom data as well as data obtained from a clinical ECAT 921 PET scanner.