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Research Paper

Holographic imaging system to detect fractures

Diverse sort of showcases with the broadened limit that can offer a quick and striking knowledge could be worthwhile in numerous restorative actions. For example, by offering a more precise introduction of the bone surface introductions in 3-Dimensional space, the holographical focal point can be utilized to design a more effective orthopedic surgery, than the present circumstances. Surgery might be upgraded if a specialist is offered the better pre-surgical representation of the task that is important. Any structure can be shown ideally in a spatial arrangement with the goal that gash or any separation is plainly unmistakable. By survey volumetric information showed in 3-Dimensional view, orthopedics might have the capacity to distinguish different sorts of deformities of the bone. Furthermore, the mind-boggling bone structure can be seen obviously and unambiguously in one spatial show. Holographic stereograms of medicinal information mix the two innovations of PC illustrations and holography. Because of the accessibility of particular equipment and programming, PC realistic recreation of information can be generally utilized by orthopedics all over the globe, to picture zones of enthusiasm inside a volume of information. Interestingly, the utilization of holographical stereograms in pharmaceutical is a long way from across the board since such a thought is still new. The mix of volume rendering and the holographical show would bring about a spatial portrayal of restorative information offering high picture quality and enough added data to empower enthusiasm among the therapeutic community. In this work, an investigation of holographical show of PC graphically medicinal information is reported. The usage of a volumetric rendering calculation that produces PC realistic pictures, and the technique for recording these pictures holographically, is likewise archived.

Published by: Akash Jain, Rachith Gajwani, C R Manjunath, Sahana Shetty

Author: Akash Jain

Paper ID: V4I3-1196

Paper Status: published

Published: May 2, 2018

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Research Paper

Effect of formwork material on surface hardness of concrete

The study emphasizes the effects of the formwork material that imparts a characteristic surface hardness to the concrete. Concrete cubes were cast of the M20 grade in different mold material like Cast Iron, Shuttering Plywood and Timber. The effect of these materials was studied by using the Rebound Hammer Test to find the Rebound numbers which depend on the surface hardness of the concrete. The results obtained are explained in the following statistical form. It can be concluded that each formwork material imparts a characteristic surface hardness to the concrete.

Published by: Rushikesh Kolte, Aniket Malwade, Avinash Sawant, Kartik Roge, Renuka Purohit

Author: Rushikesh Kolte

Paper ID: V4I3-1199

Paper Status: published

Published: May 2, 2018

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Technical Notes

IoT on smart waste management in cities

With the increase in population, the scenario of hygiene with respect to garbage management is degrading extremely. The overflow of garbage in public areas creates the unhygienic condition in the nearby surrounding. It may provoke several serious diseases amongst the nearby people. It also degrades the valuation of the area. To avoid this and to improve the cleaning, ‘smart garbage management system’ is projected in this paper. In the proposed system, the level of garbage in the dustbins is detected with the help of IRSensor systems, and communicated to the authorized control room through Arduino Sensor system contains Wi-Fi.with the help of Arduino we can transmit the data. A GUI will allow to interact with other device and also developed to monitor the preferred information related to the garbage for different selected locations. This will help to manage the garbage collection competently.

Published by: Rohan Kadu, Supriya Chandrakant Kokare

Author: Rohan Kadu

Paper ID: V4I2-2165

Paper Status: published

Published: May 2, 2018

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Research Paper

Hybrid spam detection using machine learning

Social networks are recognized as popular communication channel but in this, there is one of the problem is spam messages. Spam messages can contain malware in the form of the executable file and the link to the malicious websites or the links which do not exist. Most of the existing machine learning solutions are based on the either Support Vector Machine or Naive Bayes but the existing solutions either slow or inaccurate in solving spam filtering problem. Support Vector Machine based spam filter has great advantages on high precision and recall rate and Naive Bayes based spam filter give faster classification speed and require small training sets. By taking the advantages of both, we propose hybrid spam filtering algorithm which have more accuracy than separately implemented NB and SVM.

Published by: Diksha S. Jawale, Ashwini G. Mahajan, Kalyani R. Shinkar, Vaishnavi V. Katdare

Author: Diksha S. Jawale

Paper ID: V4I2-1925

Paper Status: published

Published: May 1, 2018

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Review Paper

Applied to animal breeding for disease resistance

Animal diseases cause significant losses to livestock’s and breeders, resultant into direct damages to animals, reduced productivity and cost of treatment. One of the promising additional methods to control diseases is breeding animals for disease resistance. The resistance of animals to diseases is related to their ability to withstand pathogens and harmful environmental influences. For the planned control of hereditary diseases in domestic animals, it is required not only an accurate knowledge of their inheritance but also an accurate and monotonous description and designation of the disease. Therefore, in order to avoid misunderstandings in identifying hereditary anomalies in domestic animals, an international nomenclature has been created for their description and designation. According to this nomenclature, hereditary diseases of each species of animals are designated by a certain letter of the alphabet. Specific diseases peculiar to this species are characterized by numerical indexes. Developments in technologies, such as genomic selection, may help overcome several of the limitations of traditional breeding programmes and will be especially beneficial in breeding for lowly heritable disease traits that only manifest themselves following exposure to pathogens or environmental stressors in adulthood. The current paper provides a brief overview of the present-day application of microsatellites markers in animal breeding and makes a significant contribution to the overall farm animal health and resistance to disease.

Published by: Ashraf Ward, Ismail M. Hdud, Omry M. Abuargob, Sergey Y. Ruban

Author: Ashraf Ward

Paper ID: V4I3-1204

Paper Status: published

Published: May 1, 2018

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Research Paper

Enhancing cloud security by analyzing venerability of cloud server in DDOS attack

Now a days more and more services and applications are emerging in the Internet, exposing sensitive electronic data in the internet has become easier. Web services cause’s personal data to be cached, copied, and archived by third parties, often without our knowledge or control. To provide confidentiality and privacy is very important today to enterprises and other users to use cloud services. Cloud is becoming a dominant computing platform. Researchers have demonstrated that the essential issue of DDoS attack and defense is resource competition between defenders and attackers and maintain data venerability in the cloud. Major problem in clouds are load balancing and sharing the data to the particular user. In our project will propose a job scheduling and attribute base data sharing.

Published by: Vilas R. Bodkhe

Author: Vilas R. Bodkhe

Paper ID: V4I2-2188

Paper Status: published

Published: May 1, 2018

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