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Research Paper

Purification and properties of three novel monocot lectins from the family Zingiberaceae

Three new monocot lectins from the members of Zingiberaceae, namely, Alpinia galanga L. (AGTL), Curcuma amada Roxb. (CARL) and Elettaria cardamomum M. (ECSL) have been purified by sepharose and agarose affinity chromatography. These lectins possess similar physicochemical and biological properties. In SDS-PAGE, all the lectins gave a single band corresponding to a subunit of 16 and 17kDa and yielded single band peak on PAGE (pH 4.5). The lectins agglutinate rabbit and sheep red blood cells (RBCs) but are inactive towards chicken and human ABO erythrocytes. The haemagglutination activity of these lectins is inhibited by mannose and their derivatives while other simple sugars D-galactose, D-maltose, D-fructose, sucrose, lactose, D- sorbitol, D-mannitol did not react. The lectins activity were enhanced at acidic but stable at physiological pH range of 6- 8. Lectins were stable at 50°- 60° C but able to agglutinate for a short period when it increases.

Published by: P. Sathyapriya, S. Arvinth

Author: P. Sathyapriya

Paper ID: V5I2-1554

Paper Status: published

Published: March 29, 2019

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Research Paper

Smart industry automation

In this new era, everyday life is filled with technology from the startup till to bed. Internet of Things (IoT) is fast becoming a disruptive technology business opportunity, with standards emerging primarily for wireless communication between sensors, actuators, and gadgets in day-to-day human life, all, in general, is referred to as “Things”. This offers the capability to measure for understanding environment indicators. This paper addresses how to accomplish factory/Industry environment and get the data out of it check the possibility of planned IIoT use case and building up Proof of concept(POC) which will simulate factory/Industry environment to solve it.

Published by: B. Raakesh, S. Lakshmanan, K. Gowtham, R. Rajitha Jasmine, S. Dinesh Kumar

Author: B. Raakesh

Paper ID: V5I2-1601

Paper Status: published

Published: March 29, 2019

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Research Paper

Cloud based data storage by securing it through face recognition mode

Trust of Clients cannot be completely trusted or beneficial through the cloud. Many information gets corrupted due to the unwanted users by the employees in the hierarchy of an Organization. Separate Organization handles the data securely, but in many cases, data is being given away for money because of the single level Management. We move forward to an advanced safe Technology to overcome this issue, where data are downloaded by an Organization or a set of admins in a hierarchy through face detection mode. If any of the admin rejects in accepting the request the file cannot be downloaded and thereby the data is made secure. Advanced Encryption Algorithm is the medium to make this technology secure and beneficial. Many such technologies can offer such a new form of security based work for efficient and brand form of storage process in the software as well as any other field in cloud computing.

Published by: Nadar Steffy Felicia Inbamani, Kumar P.

Author: Nadar Steffy Felicia Inbamani

Paper ID: V5I2-1551

Paper Status: published

Published: March 28, 2019

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Research Paper

Temperature-humidity monitoring using PLC and HMI

This paper presents the monitoring system for a warehouse which consists, temperature and humidity. Temperature and humidity sense by HTS711 sensor and monitor by PLC. These values display on HMI. This system also detect any unwanted movable object entering in the warehouse by using the Proximity sensor

Published by: Sneha Kamble, Rushikesh Sagar, Vaibhav Masenwar

Author: Sneha Kamble

Paper ID: V5I2-1565

Paper Status: published

Published: March 28, 2019

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Research Paper

Advanced image enhancement (brain tumor) DWT-SVD method using CNN

The mind tumors, are the most widely recognized and forceful illness, prompting an exceptionally short future in their most elevated evaluation. In this manner, treatment arranging is a key stage to improve the personal satisfaction of patients. For the most part, different picture methods, for example, Computed Tomography (CT)and ultrasound picture are utilized to assess the tumor in a mind, lung, liver, bosom, prostate… and so forth. Particularly, in this work, CT pictures are utilized to analyze tumor in the cerebrum. Anyway, the colossal measure of information produced by CT examines thwarts manual grouping of tumor versus improvement tumor in a specific time. In any case, it has some impediment (i.e) exact quantitative estimations is accommodated a predetermined number of pictures. Subsequently trusted and programmed order plot is basic to keep the passing rate of a human. The programmed cerebrum tumor characterization is extremely testing errand in extensive spatial and basic changeability of encompassing locale of mind tumor. In this work, programmed mind tumor identification is proposed by utilizing Convolutional Neural Networks (CNN) grouping. The more profound engineering configuration is performed by utilizing little parts. The heaviness of the neuron is given as little. Test results demonstrate that the CNN chronicles rate of 97% precision with low multifaceted nature and contrasted and the all other condition of expressions techniques.

Published by: Abubakkar Sithik, Dr. G. Ranganathan

Author: Abubakkar Sithik

Paper ID: V5I2-1536

Paper Status: published

Published: March 28, 2019

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Survey Report

Survey of mobile social network middleware: Data dissemination, routing and forwarding, and social awareness

Due to the increase of an internet of things, there are different techniques and systems are developed, from these technology ones is a Middleware, for Mobile Social Network (MSN). MSN is the intersection and combination of a social network and mobile communication. This paper summarizes about the different types of Middleware that are applied on MSN for Data Dissemination, Routing and Forwarding, and Social Awareness. The target of this paper is to criticize middleware’s grounded on their characteristics, platform that they implement it and also based on architecture. In this paper different practices are such as location-based mobile social matching and place-based ad hoc social practices, and based on their result of response for a different amount of user are discussed, in addition to GIS (Geographic Information System), LBS and J2ME technology are used.

Published by: Abraham Teklu, Ajeet Singh, Aynishet Alemu

Author: Abraham Teklu

Paper ID: V5I2-1411

Paper Status: published

Published: March 28, 2019

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