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Research Paper

Health prediction system using Data Mining

“Health Prediction” system based on predictive modeling, which predicts the disease (probability of disease) of the user on the basis of the symptoms that the user provides as an input to the system. The system analyses the symptoms provided by the user as input and gives the probability of the disease as an output to the user. Disease Prediction is done by implementing the Naïve Bayes Classifier. Naïve Bayes Classifier calculates the probability of the disease. Therefore, the average accuracy of 75% is obtained for disease prediction. The system also provides suggestions of Doctor’s to the user based on the symptoms analyzed. Along with it also provides suggestions of nearby Doctor’s available in the area of Patient. The user can also share his/her medical reports online with the Doctor, based on which doctor can provide treatment to the user. Also, there is chatting facility available through which Doctor and User can interact with each other before taking an appointment or after the treatment also. The Doctor can also manage all the patients’ records online.

Published by: Omkar Nevase, Prafull Bansode, Rishikesh Nimbalkar, Sanket Yeginwar, Suvarna Pawar

Author: Omkar Nevase

Paper ID: V5I3-1409

Paper Status: published

Published: May 17, 2019

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Research Paper

Experimental study on the influence of internal curing on concrete properties using pre-soaked lightweight aggregates and Super Absorbent Polymer

ACI defines Internal Curing (IC) as a process by which the hydration of cement continues because of the availability of internal water that is not part of the mixing water. The introduction of SAP as a new additive for the production of concrete materials presents a number of new possibilities in respect of water control, i.e., the purposeful water absorption and/or water release in either fresh or hardened concrete. Proper curing of concrete structures is important to ensure they meet their intended performance and durability requirements. In conventional construction, this is achieved through external curing, applied after mixing, placing and finishing. Internal curing (IC) is a very promising technique that can provide additional moisture in concrete for more effective hydration of the cement and reduced self-desiccation. Internal curing implies the introduction of a curing agent into concrete that will provide this additional moisture. Concrete expands and contracts because of change in temperature, freezing and thawing cycle and environmental conditions. During early age hardening of concrete exhibits few cracks due to its chemical nature. The main reason for crack development in paste fraction is the loss of water due to chemical reaction and environment. The crack development due to aggregate was mainly on its chemical composition and physical properties. The crack due to plastic shrinkage could be reduced by adopting an internal curing method. This internal curing agent supply absorbed water to concrete to minimize the crack effect due to plastic shrinkage. Internal curing does not replace conventional surface curing but works with it to make concrete more robust. Internal curing can also help compensate for less than ideal weather conditions and poor conventional curing that is often seen in the real world. In this study, M25 Concrete was used to cast cubes beams and cylinders with the mix design of 1:1.78:2.92 replacing sand with presoaked vermiculite and in other mix replacing cement with SAP. The results of 28 days compressive strength, flexural strength and split tensile strength indicates a higher strength with usage of 0.35% SAP and 5% vermiculite as internal curing agents.

Published by: Vishal Bhawar, Dr. Sanjay Kulkarni, Vishwajeet Kadlag

Author: Vishal Bhawar

Paper ID: V5I3-1407

Paper Status: published

Published: May 17, 2019

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Review Paper

Review on underwater image enhancement using multiscale fusion

We introduce an effective technique to enhance the images captured underwater and degraded due to the medium scattering and absorption. Our method is a single image approach that does not require specialized hardware or knowledge about the underwater conditions or the scene structure. It builds on the blending of two images that are directly derived from a color compensated and white balanced version of the original degraded image. The two images to fusion, as well as their associated weight maps, are defined to promote the transfer of edges and color contrast to the output image. To avoid that the sharp weight map transitions create artifacts in the low-frequency components of the reconstructed image, we also adopt a multiscale fusion strategy. Our extensive qualitative and quantitative evaluation reveals that our enhanced images and videos are characterized by better exposedness of the dark regions, improved global contrast, and edges sharpness. Our validation also proves that our algorithm is reasonably independent of the camera settings, and improves the accuracy of several image processing applications, such as image segmentation and keypoint matching.

Published by: Devray Renuka Nitin, Atul Shreevastav

Author: Devray Renuka Nitin

Paper ID: V5I3-1341

Paper Status: published

Published: May 17, 2019

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Research Paper

Traffic load minimisation using IoT

In this paper we have discussed about the problem of traffic and how to solve it using WSN and IOT. As we know IOT is the latest technology and is being used in many sectors now a days at it very effective. As we know the problem of traffic management is increasing now a days is big cities which causes many problems like traffic, accidents and pollution. Management of the traffic is very important and a tedious job. There have been many methods used to solve this Problems. Also the issues like car theft have also increased now a days, also due to high traffic ambulance also have problems in reaching the hospitals fast. In this paper we have discussed the technique of solving this problems using IOT. There will be a sensor node and a base node the sensor node will be used to count the traffic in each lane and will send the information to the base node and the base node will take the decision of allocation of the. Also the base node will have a RFID reader connected which will be continuously Reading for the RFID cards that will be present at the cars and compare it with the data base and search for the stolen cars and ambulance, and will notify after the stolen car is detected. This will help solving the traffic management problem the theft problem and the emergency situations for the ambulance.

Published by: Kanade Pooja Rajendra, Atul Srivastava

Author: Kanade Pooja Rajendra

Paper ID: V5I3-1307

Paper Status: published

Published: May 17, 2019

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Research Paper

Testing Mobile Application Part (MAP) protocol using MAP-simulator tool in a mobile communication testing laboratory

This paper mainly explains the usage of a Tool for Functional testing, Conformance Testing, Load and Stress Testing, Interoperability Testing, Performance Tests, Sanity Tests, and Regression Test. It is used as a simulator program for testing of communication interfaces between network elements. The legacy, emerging networks along with fixed, mobile network combination leads to different challenges in telecom networks. Some issues may be interworking between different networks Access requires access independence, proprietary specifications and interoperability specifications create architecture independence, proprietary specifications, and interoperability challenges, authentication and security require User independence, coordination between carriers and service providers require Service independence. To overcome the above challenges the network elements are tested with different testing methods mentioned above. The study represents preliminary experimental trials on different architecture like GSM, UMTS, IMS, etc.

Published by: Parsa Swetha, Dr. Nagaraja G. S., Prasad Vasa

Author: Parsa Swetha

Paper ID: V5I3-1419

Paper Status: published

Published: May 17, 2019

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Research Paper

A parallel patient treatment algorithm and it’s application in hospital queuing recommendation

A patient queue management system to minimize patient wait time, delays and patient overcrowding is one of the major challenges faced by hospitals. Redundant and bothersome waits for long periods result in substantial human resource and time wastage and increase the frustration endured by patients. Therefore, we recommend a Patient Treatment Time Prediction (PTTP) algorithm to predict the waiting time for each treatment task for a patient. Based on the predicted waiting time, a Hospital Queuing-Recommendation (HQR) system is developed. HQR calculates and predicts an efficient and suitable treatment plan recommended for the patient.

Published by: Milan Bekal, Abishek Manikandan, Ayushman Tewari, Pallavi G. B.

Author: Milan Bekal

Paper ID: V5I3-1415

Paper Status: published

Published: May 17, 2019

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