Speech Emotion Recognition System using Librosa for Better Customer Experience

Call center employees usually depend on instinct to judge a potential customer and how to pitch to them. In this paper, we pitch a more effective way for call center employees to generate more leads and engagement to generate higher revenue by analyzing the speech of the target customer by using machine learning practices and depending on data to make data-driven decisions rather than intuition. Speech Emotion Recognition otherwise known as SER is the demonstration of aspiring to perceive human inclination along with the behavior. Normally voice reflects basic feeling through tone and pitch. According to human behavior, many creatures other than human beings are also synced themselves. In this paper, we have used a python-based library named Librosa for examining music tones and sounds or speeches. In this regard, various libraries are being assembled to build a detection model utilizing an MLP (Multilayer Perceptron) classifier. The classifier will train to perceive feeling from multiple sound records. The whole implementation will be based on an existing Kaggle dataset for speech recognition. The training set will be treated to train the perceptron whereas the test set will showcase the accuracy of the model

Designing of digital PID controller for blood glucose level of diabetic patient by using various tuning methods

The main objective of this paper is to design the digital PID controller for injecting insulin externally to the diabetic patient for maintaining a healthy blood glucose level. We have designed PID controllers using various tuning rules for examining the best performance in terms of different time response parameters like Overshoot, settling time & rise time, etc. Various tuning methods used for designing PID in this paper are the Ziegler Nichols method and the IPDT method. We have also made approximate mathematical modeling of blood glucose levels. Finally, we convert the conventional PID controller into a digital PID controller

Enhancement of digital PID controller performance for blood glucose level of diabetic patients using disparate tuning techniques

Objectives: To design digital PID controller by using CHR-I and CHR-II tuning techniques, as it helps in finding out the tuning parameters of controllers for a specific system. Transformation of analog to digital PID controller using various transformation techniques like first order hold method, impulse-invariant mapping, Tustin approximation and zero-pole mapping equivalents and also the mathematical modeling of blood glucose level, such that a system injects the exact amount of insulin into the body of diabetic patient to maintain his/her glucose level to the normal range. Method/Statistical Analysis: The differential equation of the blood glucose level is formulated and then it is converted to three-dimensional Laplace equation using forward Laplace transform. Using the Laplace transform the differential equation of the blood glucose is converted into a s-domain equation. Then, using the s-domain equation as the equation of the system and the Tuning techniques, CHR-I and CHR-II, the tuning parameters (Kp, Ki and Kd) are acquired. Then, it is converted into digital, i.e. in z-domain, by applying disparate transformation techniques. Findings: On analyzing the acquired equation, it is depicted that on tuning the controller with CHR-I tuning technique the system exhibits zero overshoot which is most reliable and efficient for diabetic patient. Also, a considerable settling time of 6.3362 seconds is also achieved. Application/Improvement: Therefore, a system that can inject the exact amount of insulin into the patient's blood and bring the blood glucose level to the normal range, by automatically calculating the amount of insulin required, from the available status of blood glucose level, is being achieved

Ameliorating the FOPID (PIλDμ) controller parameters for heating furnace using optimization techniques

Since the heating furnace system has emanated it has faced the problem of high power consumption, colossal amount of time to heat the substances and the vulnerability of getting exploded thus the objective of the paper is to achieve a system for same with less power consumption, whit time to heat the substances and making it safe from explosion. Using the mathematical way of modeling the dynamic critical systems the heating furnace is being modeled by using the damping, spring and mass elements. The integer order model of the system is being achieved by the Laplace transform and fractional order model for the same is obtained using the Grunwald-Letnikov formula. The Cohen-Coon tuning technique is being amalgamated with the Nelder-Mead, Interior-Point, Active-Set and Sequential Quadratic Programming optimization techniques respectively so as to design the FOPID controller for heating furnace. When the feedback systems were being formed then the outputs demonstrated that the system now consists the properties of less power consumption, less time to heat the substances along with less overshoot. Earlier the integer order model had the settling time (time taken to heat the substance), steady state error (power consumption) and overshoot (explosion) of 1500 seconds, 50% and 0% respectively. When the PID controller was designed for the same using Cohen-Coon tuning technique and forming a feedback system it had setting time of around 800 sec. and also the steady state error was brought to 0% but the overshoot went up to 35%. Therefore FOPID controller is being designed using the concocted technique that is the amalgamation of tuning technique and optimization techniques and forming and feedback system with FOM of heating furnace, the system yielded steady state error as 0%, where the settling time have been reduced to 300 seconds and overshoot between 7%-12%. Using the concocted technique that is the amalgamation of Cohen-Coon tuning technique with the optimization tuning techniques the FOPID controller was being formed for the FOM of the heating furnace which is being kept in feedback so as to form a system. Thus systems formed ameliorated the settling time i.e. time taken to heat the substance, the overshoot i.e. the vulnerability of getting exploded also remains low and the steady state error i.e. power consumption is also reduced drastically

Amelioration of digital PID controller performance for blood glucose level of diabetic patient

The background of this paper discusses the design of a digital PID (Proportional-integral derivative) controller for controlling the blood glucose level of a diabetic patient. The objective is to design a digital PID controller for external insulin injection which can inject insulin to the patient in an accurately controlled way to sustain the blood glucose level of a diabetic patient. The blood sugar level of the patient is considered as input variable & injected insulin level is considered as output variable which is to be controlled. A dynamic model is constructed & a transfer function is defined for this system. Using various tuning rules, the Proportional, Integral & Derivative coefficients are found. The conventional Ziegler Nicholas method produces a very high overshoot which can endanger the life of a patient. Therefore, other efficient tuning techniques like Chien-Hrones-Reswick (set-point regulation) and Chien-Hrones-Reswick (distribution regulation) methods are used here to find the Proportional, Integral & Derivative coefficient. The tuning responses are studied & parameters are compared. The best response given by the PID is converted into Digital PID. The different transformation methods to convert the conventional PID into the digital PID controller are studied

Tuning of FOPID controller for meliorating the performance of the heating furnace using conventional tuning and optimization technique

The milieu of the paper is the melioration of the performance of heating furnace, which is done by the tuning of the fractional order proportional integral derivative (FOPID) controller using various tuning techniques and the optimization algorithms. These techniques help us to find out the standards of the integer order tuning parameters and also the fractional order parameters of the PID controller. The Astrom-Hagglund and the Chien-Hrones-Reswick methods of tuning are used for tuning the tuning parameters of the controller, where Nelder-Mead optimization technique is used for optimizing the values of differ-integrals. These standards of parameters obtained using mentioned tuning techniques help us to generate standardized differ-integral order of the FOPID controller. This helps to improve the performance of the heating furnace. The complete process has been executed after the approximate dynamic modelling of the heating furnace

New Crimes Under the Information Technology (Amendment) Act

This paper delineates the legislative response to cyber crime in India with an analysis of the Information Technology (Amendment) Act, 2008 focussing on the new crimes introduced by the amendment, on the touchstone of cyber crime legislative standards across jurisdictions. Thus, a brief look at the jurisprudential basis for criminalisation of cyberspace activities has been undertaken, following which, the new crimes have been examined section-wise. The paper uses the theoretical framework set out in the first section to probe the various problems that the Amendment Act poses in light of bad drafting and lack of understanding in the area