Vignan University

About: Vignan University is a education organization based out in Guntur, Andhra Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.

Effect of Red Mud on Mechanical and Microstructural Characteristics of Aluminum Matrix Composites

Abstract: The aim of the present paper is to study the effect of red mud on the characterization and mechanical behavior of aluminum alloy AA6082 composites reinforced with red mud. Four different volume fractions (0, 2, 4, and 6%) have been considered to fabricate the composites by stir casting route. The effect of heat treatment on mechanical properties is also investigated. Vickers micro-hardness testing and tensile testing were carried out to measure mechanical properties. Compared to the base alloy, a significant enhancement in the hardness and tensile strength is observed in the case of the red mud-reinforced composites. Furthermore, field emission scanning electron microscope analysis (FESEM) and energy-dispersive spectroscopy (EDX) were also employed to study the microstructural evolution and elemental analysis of the composites. The tensile fractography study revealed a ductile nature of failure in terms of dimple, micro-voids, and cracks.

Novel 1,3,4-Thiadiazole Linked Amide Derivatives of Pteridone: Synthesis and Study of Anticancer Activities

Abstract: Cancer is a second leading cause of death after heart attack, in developing as well as undeveloped countries. It is caused by unregulated growth and metastasis of the abnormal cancer cells. Cancer can be cured by radiation, immunotherapy and chemotherapy, among them; chemotherapy is a good treatment for cancer, in which chemotherapeutic drug is used. The anticancer activity of newly synthesized compounds (13a-j) was carried out on four different types of human cancer cell lines like MCF-7 (breast), A549 (lung), Colo-205 (colon) and A2780 (ovarian) by the MTT method, and compared to etoposide used as a positive control. Among them, compound 13g with electron-withdrawing (3,5-dinitro) group, exhibited more promising activity in all cell lines (MCF-7 = 0.10±0.076 μM, A549 = 0.17±0.039 μM, Colo-205= 0.13±0.022 μM and A2780 = 0.87±0.027μM). This compound may act as lead drug in cancer chemotherapy. In future, this compound can be examined for clinical studies.

Intelligent Voice Assistant by Using OpenCV Approach

Abstract: The basic plan of our work is to design and implement Artificial Intelligence based Voice Recognition System Software and to create a bundle that consists integration of several tasks, where we can process and execute using Clients Individual voice command. An Artificial Intelligent based Virtual or Personal Assistant were indicated as IVA or IPA could be a package of Intelligent mechanism which execute different tasks and services based on the queries and command for operating intelligent based system. It is identified as square measure at some areas of disciplines utilized for voice detection, where voice recognition is identified as communication channel between persons will be notified by machine. where machines can identify voice of a person wherever the voice is only approach of double communication, and a lot of typically, it permits to free-up each hands and vision doubtless for performing an additional action in comparison or facilitates conjointly inactivated individuals. In this paper we concentrated on the different artificial intelligent technologies that support the voice recognition and natural language processing. Generally, to try and do such quite tasks we would like a voice assistant to prefer and to get gadgets like Alexa. However identical practicality will be done by several the powerful packages like pywhatkit, Wikipedia, pyttsx3, pygame, speech recognition, OpenCV etc., we majorly focused on the practical implementation of voice recognition module based on the OpenCV. In modern technology speech recognition, object identification, digital image processing, language processing plays a major role in security and other factors, the most common mechanisms in artificial intelligence in association with machine and deep learning is that the mechanisms for identifying the natural language of a personalities. Latest terminology during present issue will cause artificial intelligence-based human-robot interaction that is based on multi-disciplinary technologies such as natural language processing, deep and machine learning. We even concentrated on the different tools that support voice recognition and the software companies such as google, Microsoft and amazon. Where new trends and methodologies are implemented at rapid growth. The major factors in this module are natural language processing, speech recognition and the voice management. One is every of such tools is voice assistant, which can be integrated into several alternative intelligent systems. Voice may be a ton of economical than writing on a keyboard. Here we tend to square measure desegregation varied options and place along as one practicable file. Hence, we will create several things among less quantity of your time with the simplest performance. In this research we verified different models, mechanisms and procedures adopted by various researchers in this field to recognize the voice. The basic set up of our work is to integrate as many tasks as achievable and build it execute by our voice command. The design and implementation of the OpenCV approach is given along with the experimental analysis and finally the result analysis is given in the graphical form.

Modelling Nonlinear Daily Evapotranspiration using Variable Infiltration Capacity Model and Artificial Neural Network

Abstract: Evapotranspiration (ET) is a key variable for hydrologic, climatic and agricultural studies. Accurate quantification of this variable is of utmost importance for irrigation management and crop productivity. With the availability of only meteorological variables in climatic stations, reference gross evapotranspiration (ET o ) estimation is becoming a challenging task. Hence, there is a scope to estimate the ET o using various physical and empirical methods. Among physical methods, FAO-56 PM method is best and Artificial Neural Network (ANN) models are accurate empirical methods. Further, ET o can also be estimated using a water budget approach i.e. variable infiltration capacity (VIC) model, which accounts for the sub-grid variability of land use and land cover and soil moisture in a better way. In this study, the ET o was estimated by two different methods, namely, VIC and ANN for Mohanpur climatic location in India. The results reveal that VIC- ET o showed the correlation coefficient, r = 0.853, coefficient of determination, R 2 = 0.727 and index of agreement, d = 0.924; while ANN models showed better agreement with r = 0.999, R 2 = 0.998 and d = 0.999 with the FAO-56 PM method. Hence, it is concluded that the ANN showed better results as compared to VIC model for ET o estimation in Mohanpur climatic location.