Triangular shaped Sirpinski fractal patch antenna used in GPS, 4th generation and 5th generation
Recent efforts by several researchers around the world to combine fractal geometry with electromagnetic theory have led to a large number of novel and innovative antenna designs. In this research work, we provide a comprehensive overview of the latest advances in the rapid development of fractal antenna engineering. Fractal antenna engineering research focuses on two aspects: the first is the analysis and design of fractal antenna elements and the second is the application of fractal theory in antenna array design. Fractals do not have feature sizes and are usually replicated by themselves at different scales. These unique properties of fractal have been developed for the development of new types of antenna element designs in multi-band or compact size. On the other hand, fractal arrays are a subset of sparse arrays and have been shown to have many very desirable properties, including multi-band performance. Low sidelobe level, and the ability to develop fast beamforming algorithms based on the fractal, recursive nature. In this research work, we are presenting four band fractal antenna used for GPS, 4G and 5G applications. The antenna is simulated in HFSS (High-Frequency Structure Simulator) software tool. For the optimization of the proposed work parametric analysis is performed at various dimensions of the fractal antenna.
Published by: Gaganpreet Singh, Mukta Sharma
Author: Gaganpreet Singh
Paper ID: V4I3-1162
Paper Status: published
Published: May 10, 2018
Construction Site Safety Management
Safety means free from danger or risk and managing the workers or labours for ensuring safety is called management. Therefore construction site safety and management deal with the safety of labours and employees working at the site. The best way to protect workers against hazard is to control problem at the source. The problem regarding construction industry is not that hazard and risk are unknown, but it is very difficult to accurately identify in a constantly changing work environment. To prevent health hazards at work, all possible hazard that may be encountered should be identified in advance. With a proper labour safety, the availability of labour will always sufficient to carry out all construction work and completed on time without any delaying of work. Thus, time and cost lose will be minimized.
Published by: M. Brindha, M. Mathangi
Author: M. Brindha
Paper ID: V4I3-1347
Paper Status: published
Published: May 10, 2018
Aadhar based biometric voting system
Aadhar Based Biometric Voting System implements a simple and secure method of polling vote by using biometrics. Due to the changes occurred in the technology, so many advancements were introduced in the field of voting. The improvisations aim at increasing the flexibility security, reliability, scalability of the model and provide less time consumption to announce the result. Nowadays, the voting procedures are conducted by manually operated machines and even through SMS also. But this system is a unique and new concept which saves a lot of time and avoids impersonation. In this system, the user has to use his fingerprint to cast the authenticated vote. Voting is based on Aadhar biometric database that is a fingerprint. This voting system would offer higher security and it will increase voting percentage. We also propose a system in which, people who are Aadhar holders and whose age is above 18 years can vote without going to their home constituency on the day of an election. The biometric data is already stored in the government database. Hence this project provides the best solution to avoid the false voting. The electronic voting machine was connected to the computer. The computer is having the full database list of the people who are having the eligibility to vote. So it avoids the false voting.
Published by: Varsha N G, Shravya R, Sangamesh Jhalaki, Shivaraja
Author: Varsha N G
Paper ID: V4I3-1245
Paper Status: published
Published: May 10, 2018
A study to assess the effectiveness of infrared radiation therapy on pain perception and wound healing among primi postnatal women with episiotomy
Motherhood has true nobility and unique capacities. Pregnancy and childbirth are special events in women’s lives. This study aimed to assess the effectiveness of Infrared radiation therapy on pain perception and wound healing among prime postnatal women with episiotomy in Christian mission hospital, Madurai. The study was conducted among 60 postnatal women, 30 in experimental group and 30 in control group, who were selected by using purposive sampling technique. Data collection was done as planned 6 weeks were taken for data collection procedure. The data gathered were analyzed and the interpretation was made on the study objectives. The paired‘t’ test and independent‘t’ test were used to find out the effectiveness of infrared radiation therapy. Comparison of pain perception and wound healing status values between pre-test and post-test, experimental and control group showed the significant difference at 0.05 levels. The study concluded that the infrared radiation therapy was effective in reducing episiotomy pain and wound healing. Therefore, infrared radiation therapy should be used to augment the therapy of episiotomy.
Published by: Elizebeth Rani
Author: Elizebeth Rani
Paper ID: V4I3-1344
Paper Status: published
Published: May 10, 2018
Face spoofing detection using LBP descriptor and ensemble subspace discriminant classifier
Recently, automatic face recognition has become a realistic target of biometrics research. Face fake attacks are truly a threat to face recognition systems. Exploration on non-invasive software based face spoofing detection schemes have been mainly concentrated on the analysis of the luminance information of the face images, accordingly discarding the chroma component, which can be very useful for discriminating fake faces from genuine ones. In this paper, we present a novel approach based on analyzing joint color-texture information of the facial image from the luminance and the chrominance channels using color local binary pattern (LBP) descriptor. Particularly the feature histograms are extracted from each image band separately. The resulting feature histograms are concatenated into an enhanced feature histogram in order to obtain an overall reproduction of the facial color texture. The final feature vector is fed to an ensemble subspace discriminant classifier and it describes whether there is a live person in front of the camera or a fake one. Also, we determine the performance measures of an ensemble classifier and compare with SVM.
Published by: Shahna J. S, Minnu Jayan C
Author: Shahna J. S
Paper ID: V4I3-1311
Paper Status: published
Published: May 9, 2018
Smart agriculture by monitoring moisture pH levels in soil
Agriculture plays the major role in economics and survival of people in India. Even today, traditional methods and backward techniques are being used by different countries in the agriculture sector. In India, the agriculture techniques are labor intensive, whereas the modern agriculture technology is mainly capital intensive. Production efficiency has been increased significantly with the technological advancement in agriculture. With the help of internet of things, a novel design approach to smart farming is framed that increases the productivity. IoT will play a major role in meeting this need. IoT when combined with cloud and big data, it can improve the efficient use of inputs like fertilizers, soil, and pesticides. It also helps in scanning storage capacities like water tanks, predicting related diseases, monitoring livestock, and making sure the crops are watered well. Farmers need the variety of data and services to improve crop production based on land, crop, climate conditions, finance availability, irrigation facilities etc.. Cloud computing has been used by Government and other private agencies to store agricultural data. Cloud support various services to farmers to interact with the cloud by using any cheaper ways like sensors, mobile devices, scanners etc. Smart farming becomes an emerging concept, IoT sensors are capable of providing information about their respective agricultural fields. This proposed approach aims at making use of evolving technologies like IoT and smart agriculture using automation. The major factor that aids in improving the yield of efficient crops is by monitoring environmental factors. To monitor various agricultural activities like cutting, weeding and spraying, a remote-controlled vehicle is operated that works both in automatic and manual modes. A controller is mounted on this vehicle that monitors the temperature, soil condition, temperature and accordingly water is supplied to the field.
Published by: Gaddam Sanjeeva Reddy, C M Anuja, Manjunath C R, Sahana Shetty
Author: Gaddam Sanjeeva Reddy
Paper ID: V4I3-1314
Paper Status: published
Published: May 9, 2018
