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Dynamic path optimization of traffic signal system for ambulance dispatch in emergency medical response using analytical hierarchy process

With the increase in vehicles on a day-to-day basis, the congestion on roads has exaggerated linearly. This congestion results in what is known as traffic. With traffic comes accidents, resulting in emergency situations. It is abundantly a necessity for clearance of vehicles. Each second matters once it involves saving a human’s life. With more traffic and not giving way to emergency vehicles, the life is at stake. Being citizen-oriented act of assistance, Medical Emergency Response explores many issues acting right way within the essential amount of your time. Foremost reason behind this disadvantage supported the segregated data foundations as well as conjointly diverse characteristics of info concerned for making proper decisions. Therefore, to provision fast as well as correct deciding technique to see the simplest machine and hospitals among them on the market alternatives is important. In the planned system, both the ambulance and the traffic signal station are connected using cloud network. Each and every signal at the junctions collect and analyze the traffic details using AHP consumes information sourced from the sources, and a dynamically use the shortest path formula to enable quick as well as an accurate decision for effective action in the medical crisis.

Published by: Ahish. N, Bharath. N, Manjunath C R, Sahana Shetty

Author: Ahish. N

Paper ID: V4I3-1274

Paper Status: published

Published: May 5, 2018

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Research Paper

Patient’s perception towards the private hospitals in Ramanathapuram Taluk

This paper basically deals with the customer perception towards the private hospitals in Ramanathapuram town. The study was conducted to patients who are visiting the private hospitals in Ramanathapuram in which different hospitals are selected for the study. The survey was done using a structured questionnaire for a sample size of 200 outpatients, out of which 105 are male and 95 are female patients. The researchers are mainly focused on customer’s perception about private hospitals and how patients accepted and how to improve the services and are the focus for future development.

Published by: Ratha K

Author: Ratha K

Paper ID: V4I3-1179

Paper Status: published

Published: May 5, 2018

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Research Paper

Predicting kidney related diseases

Healthcare industry is observing a tremendous advancement along with upcoming innovations in the Information Technology and the Computer Science, and this is something which thrived this industry to come up with more added medical related information, which led to growth in several research sectors. Various steps are taken to handle the outburst of information related to medical sciences and acquisition of valuable knowledge. This eventually led the researchers and scientists towards applying their technical revolutions as well as inventions such as “predictive analytics”, “machine learning”, “big data analytics” and “learning algorithms” for gathering worthwhile understanding and support in better decision making. Big data analytics can be seen as one of the major emerging sides in the field of medical sciences. Big data is also being used for providing predictive intuitions in a healthcare field and it is also playing an important role in the analysis of chronic diseases and medical data with the help of predictive analytics. In healthcare industries prediction can turn out to be most useful as well as successful when the knowledge can be conveyed as action. In this case, we propose a method that gives real-time analyzed report about predicting kidney related diseases with the help of historical data and real-time data.

Published by: K Sriram, Ravilla Raviteja, Manjunath C R, Sahana Shetty

Author: K Sriram

Paper ID: V4I3-1275

Paper Status: published

Published: May 5, 2018

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Research Paper

Battery efficient wildlife footage recorder (BEFPi)

Wildlife footage capturing is very difficult and time-consuming. The photographer has to wait for the long duration in order to get desired footage. In order to solve this, there is the system where we set up cameras in different spots. The limitation of the conventional system is that cameras are to be set in recording mode for entire day and night. Such systems require the expensive camera with long-lasting battery life. The BEFPi saves battery as the cameras are set to recording, only when motion is sensed. The camera is switched off when no motion is detected. Footage recorded will be saved in memory. It is more advantageous than existing methods as it gets rid of unwanted footage being recorded and thus save memory and battery life. It is more cost-effective than the existing system.

Published by: Aparna Jayan T, R. Anusuya

Author: Aparna Jayan T

Paper ID: V4I3-1276

Paper Status: published

Published: May 5, 2018

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Research Paper

Evaluation of Hyperalgesic activity of oral Lansoprazole in Albino Mice

This study was developed to know the heat and chemical-induced nociception behavior of albino mice under influence of oral Lansoprazole. The heat was induced by Eddy's hot plate, maintained at constant temperature of 55 degree Celsius. Chemical-induced nociception behavior of albino mice was done by freshly prepared 0.6% Acetic acid solution in the volume of 10ml/kg. Under Eddy's hot plate method mice shows their nociception behavior by licking the paw or jumping the limbs. Under chemical induced method albino mice shows their nociception behavior by abdominal contractions. Lansoprazole comes under the class of proton pump inhibitors which is used for the treatment of various disease related to gastrointestinal tract as peptic ulcer, gastroesophageal reflux disease, dyspepsia, Zollinger Ellison Syndrome etc. Lansoprazole should not prescribe with Non-steroidal anti-inflammatory drugs as examples -Ibuprofen, Diclofenac, Aceclofenac, Etoricoxib etc, because lansoprazole can increase hyperalgesic activity of NSAIDS. Lansoprazole can increase pain threshold when it is given with NSAIDS. In hot plate method, four groups have been created, each group contains 6 albino mice. Total 24 mice have been placed in hot plate method. Group one has been created as a control group. In this group 10 ml/kg distilled water is administered orally, once daily four 10 days, an hour before test procedure. Each animal of group 2,3 and four is administered 1mg/kg, 2mg/kg, 3mg/kg orally once daily for 10 days an hour before test procedure. Drug treatment schedule for the chemical-induced method will be same as hot plate method.

Published by: Dr. Akash Chandra, Dr. Lalit Kumar, Dr. Harihar Dikshit

Author: Dr. Akash Chandra

Paper ID: V4I3-1250

Paper Status: published

Published: May 5, 2018

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Research Paper

Big data: An analytic architecture and prediction using spark for E-agriculture

Nowadays Big Data has a key role in E-Agriculture. Previous technologies have some limitations so Big Data is very useful for E-Agriculture because agriculture has very large structure and unstructured data. Moreover, big data analytics can be used to increase and improve the productivity of agricultural. The main aim of this paper is to propose an open source, economical, ideal and flexible big data analytics architecture for E-Agriculture. In the implementation, an analytic framework for big data application development is built and implemented. Also, a prototype application prediction base for agriculture in spark framework. Based on the agriculture prediction model various recommendations can be provided to agro users.

Published by: Patel Jaydeep Pravinbhai, Ashutosh Abhangi

Author: Patel Jaydeep Pravinbhai

Paper ID: V4I3-1183

Paper Status: published

Published: May 5, 2018

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