Manuscripts

Recent Papers

Review Paper

A Study On Real Time Plant Disease Diagonsis System

We aim to develop a real time application to the farmers for managing crop diseases. However disease detection requires continuous monitoring of experts which might be prohibitively expensive in large farms area. Automatic detection of plant diseases is an essential research topic as it may prove benefits in monitoring large fields of crops and thus automatically detect the symptoms of diseases as soon as they appear on plant leaves. Regarding plant disease diagnosis methodologies to detect diseases on crops, image processing in disease diagnosis and eAGROBOT was studied. This paper is aiming to all are collectively used and formed semi real time system for a disease diagnosis which uses image processing and data mining concepts to give pesticide recommendation and pesticide cost estimation system. Thus the android application makes a good foundation for following effective characteristic parameters for the disease diagnoses and setting up recommender system. The system is to be designed and developed using Android studio as front-end software and SQLite as back-end software. The pictures and remedial measures of the diseases were stored in the database and can be retrieved whenever necessary. The challenge is to make the farmers to listen the crop disease diagnosis system and to get the advice related to the crop diseases. The constraint here is to develop the expert in local languages so that farmers can operate the ES by themselves and get expert advice from the system

Published by: Gaurav Thakre, Amol R. More, Kishor S. Gajakosh, Muktanand O. Yewale, D. O. Shamkuwar

Author: Gaurav Thakre

Paper ID: V3I6-1405

Paper Status: published

Published: December 22, 2017

Full Details
Research Article

Bionic Arm Using Muscle Sensor V3

Current motorized limb prostheses provide rudimentary functionality for the application in everyday life. Together with a poor cosmetic appearance, this is the reason why a large percentage of amputees do not use their prosthetic device regularly. This paper seeks to present an overview of current state of the art research on neural interfaces. The focus lies on non-invasive recording with EMG and especially High-Density EMG sensors. Additionally, direct machine learning and pattern recognition algorithms for the decoding of the recorded signals are discussed. Finally, promising research directions for advanced prosthesis control will be discussed. The bionic arm uses EMG signals to control each action of the hand. In order to control them, we need to record the EMG signal for different actions. And compare it with real-time values to move the hand in a different manner. There are separate servo motors to control the actions of each finger separately. So these are programmed by using microcontrollers.

Published by: Ajins, Jaimon Shibu, Jithin Sulfiker, Viswas Eldo

Author: Ajins

Paper ID: V3I6-1397

Paper Status: published

Published: December 22, 2017

Full Details
Case Study

Rare Case Study of Adenocarcinoma of Jejunum

Adenocarcinoma of jejunum is a rare malignancy of small intestine.The small intestinal mucosa makes up about 90% of the total surface of the gastrointestinal tract. However, adenocarcinomas rarely arise in this location. Small bowel adenocarcinoma accounts for 2% of gastrointestinal tumors and 1% of gastrointestinal cancer death.1 In the small bowel the jejunum is the commonest site followed by the duodenum and the ileum.

Published by: Dr. Anupam Shukla, Dr. Mahesh Pukar

Author: Dr. Anupam Shukla

Paper ID: V3I6-1439

Paper Status: published

Published: December 22, 2017

Full Details
Research Paper

Blue Brain : Bringing a Virtual brain to Life

Man is intelligent because of the brain. But the brain, all its knowledge, and power are destroyed after the death of the man. BLUE BRAIN, The name of the world's first virtual brain that means a machine that functions like a human brain. It can think. It can take a decision. It can response. It can store things in memory. The research involves studying slices of living brain tissue using microscopes and patch clamp electrodes. Data is collected about all the many different neuron types. This data is used to build biologically realistic models of neurons and networks of neurons in the cerebral cortex. The simulations are carried out on a Blue Gene Supercomputer built by IBM. In this paper, we concentrate on the application of Blue Brain for "Cracking Neural Code" as well as the use of Blue Brain in "Human memory loss". The neural code refers to how the human brain builds images using electrical patterns and cracking the neural code means finding the patterns and meaning in the noisy activity of the cell ensembles. Human memory loss includes conditions like ‘Alzheimer’ and 'short-term memory loss

Published by: Shalmali Jadhav, Revati Pungavkar

Author: Shalmali Jadhav

Paper ID: V3I6-1448

Paper Status: published

Published: December 22, 2017

Full Details
Research Article

Chemical, Mineralogical and Metallurgical Characterization of Goethite Rich Iron Ore Sinter

In this paper, the influence of structural water present in goethite rich ore fines on sinter properties like mean size, RI, RDI, TI, AI, and microstructure was studied. For this three plant sinters with different basicities (A1, A2, and A3) were experimentally produced varying the raw mix. From the study on variable basicity, it is found that increased basicity has good effects on the sinter properties. The desired norms of metallurgical properties for good quality sinter required for large size blast furnace met with increased tumbler index and decreased abrasion index. The RI is also better in highly fluxed sinter A3 and the RDI is low. All these are happening due to the availability of more free time and porosity. The mean-size of sinter also increases with the increase of basicity. The reducibility index and RDI of sinter A2 and A3 appear to be similar although there is a variation in chemistry and basicity, this may be attributed to use of more micro-fines in the raw material of sinter A3. The specific consumption of coke rate is highest for sinter A3 is also due to more micro-fines in raw materials. From the microstructure, it is found that in sinter A1 more magnetite and fewer ferrites are developed in comparison to A2 and A3. The silicoferrites of calcium and aluminium (SFCA) developed in sinter A2 and A3 are acicular in the structure which provides better strength to the sinter. Also, the porosity is more in case of A2 and A3 which can accelerate the reducibility process.

Published by: Dr. Kalpataru Rout

Author: Dr. Kalpataru Rout

Paper ID: V3I6-1441

Paper Status: published

Published: December 21, 2017

Full Details
Research Paper

Anxiety Perceived By Children during Venipuncture

Abstract: Introduction: When it comes to pediatric patients undergoing venipuncture, it should be every phlebotomist’s nurse’s top goal to reduce a child’s fear, pain, and distress. Most children have some fear of needles. When a child’s level of distress in anticipation of the venipuncture is on the rise, it can be a rather difficult task for the nurse and parent to make the blood collection process go over smoothly! Methods: This study was conducted using a descriptive correlational design among 181 children who met the inclusion criteria using purposive sampling technique. Data collection was done using Demographic, Clinical Variables Proforma and Modified Venham’s Anxiety Scale. Results: The findings revealed that 42.5% of the children had moderate anxiety, 7.7% had worst anxiety and 1.10% had no anxiety during venipuncture. The study findings revealed significant association between the anxiety and age of the child at the level of (P < 0.05)

Published by: Nesa Sathya Satchi, Dr. Helen Perdita .M, Dr. Janani Sankar

Author: Nesa Sathya Satchi

Paper ID: V3I6-1440

Paper Status: published

Published: December 21, 2017

Full Details