Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

A liquid-solid circulating fluidized bed (LSCFB) helps to overcome the shortcomings of conventional fluidized beds by using a particle separation and return system as an integral part of the overall reactor configuration. Batch adsorption experiments were carried out for the removal of phenol from a synthetically prepared solution using fresh activated-carbon-coated glass beads. The morphological features and surface chemistry of the adsorbent were analyzed via SEM and FTIR techniques. The adsorbent dosage, contact time and temperature were varied along with solution pH to assess their effects on the adsorbent performance for phenol removal. Isotherm modeling showed that the phenol removal using the activated-carbon glass beads followed the Langmuir model. Effectively, it was observed at an adsorbent loading of 2.5 g/150 mL of feed volume and a contact time of 3 h produced an 80% efficiency in the batch study. Furthermore, on scaling it up to the column, the desired 98% phenol-removal efficiency was obtained with an adsorbent dosage of 250 g and contact time of 25 min. Adsorbent regeneration using 5% (v/v) ethanol showed a 64% desorption of phenol from the sorbent within 20 min in the LSCFB. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Department of Software Systems

School of Computer Science and Engineering

Vellore Campus

World University root node

Department of Chemical Engineering

School of Chemical Engineering

Fulltext

Energies

Continuous phenol removal using a liquid–solid circulating fluidized bed

There is less concentration to a possibly risky driving conduct - driving with fatigue. There has been a progression of innovation overtime to help drivers. In this paper, we propose a framework to check consciousness of a driver whether the person is an abled condition to drive. In this model, the individual's face is recorded by a camera with face detection, and segmentation to segment eye and mouth features accurately. We utilize the discovery of face eyes and mouth and apply behavioral measures, for example, eye conclusion and yawning to recognize the tiredness of the driver. The spotlight set on planning a framework that will precisely screen the eye developments. This check can identify sufficiently early to evade road accidents.

VIT Unitversity

International Journal of Innovative Technology and Exploring Engineering Regular Issue

An Identification Framework to Determine Drowsy Drivers and Help in the Prevention of Road Accidents

The primary objective of Healthcare Internet Of Things (H-IOT) is to provide an early diagnosis and better treatment mechanism by establishing the connections with every active object in the healthcare world so that each individual objects can communicate with each other and they can take decisions up to some extent. Objects in H-IOT can be a wide variety of smart objects, from a wearable device attached to a patient body in one end of the spectrum to a data server stored in the healthcare provider at the other end. The data produced by these wearable’s, implanted devices or any other medical devices, are collected and stored with the previous patient records and it is analyzed. As different healthcare providers are following various standard formats for Electronic Health records (EHR), the huge amount of heterogeneous data gathered from multiple healthcare enterprises needs additional processing for the efficient retrieval of the medical documents as well as medical data. This paper presents how an intelligent data server can be designed to retrieve medical data and medical documents. © 2019, Springer Nature Singapore Pte Ltd.

Cognitive Informatics and Soft Computing Advances in Intelligent Systems and Computing

Concept-Based Electronic Health Record Retrieval System in Healthcare IOT

Interdisciplinary research on autism diagnosis and training for the autistic children are current requirements. Behavioral analytics are the techniques followed by pediatricians for identifying ASD in children. However, the techniques successfully accepted by the pediatricians worldwide would be useful for the parents and pediatricians only for the elementary school-aged children, and the system is not helping for early diagnose among children of age 2. Machine learning, image processing, and pervasive techniques are trending for early diagnosis of ASD. Hence, the chapter has done a research-based survey and detailed analysis on behavioral analytics algorithms, neuro imaging, and eye tracking techniques for early diagnosis. The behavioral analytics survey mainly focuses on social and meta-cognitive skills, and the input dataset has been taken from parents, trainers, teachers, and peer groups. The chapter also identifies that computing technologies with neuro-imaging and pervasive techniques are better than the behavioral skill analysis for early diagnosis.

Department of Computational Intelligence

Advances in Healthcare Information Systems and Administration Intelligent Systems for Healthcare Management and Delivery

Research Investigation and Analysis on Behavioral Analytics, Neuro Imaging, and Pervasive Sensory Algorithms and Techniques for Autism Diagnosis

Healthcare IOT (H-IOT) is now offered as a technology enabler for gathering real-world health-related information. H-IOT index gathers, parses, and stores information to encourage quick and precise data retrieval. Indexing is a useful technique in every search and retrieval system. Indices are utilized to rapidly find information without searching each column in a database each time it is gotten too. The motivation behind to use an index is to upgrade speed and execution in finding applicable health reports for an inquiry question. Without an index, searcher would filter each report in the corpus, which would require impressive time and processing power. Since H-IOT has to accommodate two distinct data—data from medical records and data from IOT-Medical Devices (IOT-MD)—Indexing in H-IOT is not an easy task. Indexing the real-time streaming data is a major barrier to the development of healthcare IOT. Here, we have proposed a new indexing technique based on finite state automata for healthcare IOT. The performances are evaluated and compared with the existing indexing techniques, and the proposed technique outperforms all the existing techniques. © Springer Nature Singapore Pte Ltd. 2019.

Smart Intelligent Computing and Applications Smart Innovation, Systems and Technologies

A New Indexing Technique for Healthcare IOT

Journal of Intelligent & Fuzzy Systems

An optimal cloud-based e-healthcare system using k-centroid MVS clustering scheme

Current trend in processor manufacturing focuses on multi-core architectures rather than increasing the clock speed for performance improvement. Graphic processors have become as commodity hardware for providing fast co-processing in computer systems. Developments in IoT, social networking web applications, big data created huge demand for data processing activities and such kind of throughput intensive applications inherently contains data level parallelism which is more suited for SIMD architecture based GPU. This paper reviews the architectural aspects of multi/many core processors and graphics processors. Different case studies are taken to compare performance of throughput computing applications using shared memory programming in OpenMP and CUDA API based programming. © Published under licence by IOP Publishing Ltd.