Data collection in health monitoring
Data collection is most important in many industries. The data collection which refers to the collecting a data or information from respective sources. In each and every industry maintain a database with the attributes that are required and necessary. Even for health monitoring, some information about the patients is required for the further decision making or for the treatment. This collected data can be useful for the easy analysis and for the extracting data about the individuals. Here we are briefly explaining the techniques used for data collection in health monitoring systems. There are so many techniques which had been used for data collection and also it involves many kinds of research on the data collection, its security, efficiency, and so on. Data collection is very important to know the information about the individuals.
Published by: Divya K, Harshitha C R, Soumya K N
Author: Divya K
Paper ID: V4I3-1292
Paper Status: published
Published: May 8, 2018
Automobile immobilization for drunken driving
The epitome of this topic focuses on the problem of drunken driving is one of the major reasons for on-road accidents and deaths. Alcohol affects the drunk driver’s judgmental abilities and driving adversely. Many solutions have been proposed to reduce the after effects of drunk driving. However, most of these solutions were based on certain prototypes which consisted of control units or computerized protection systems including wireless monitoring facilities. This resulted in having systems with lots of demerits, high cost and slow response in the case of remote monitoring and decision making.To avoid all the mentioned disadvantages, this paper introduces a simple, cheap and highly responsive design. The proposed design is based on simple electronic components with processing and decision made locally and does not involve wireless transmission to guarantee the required fast response. This Arduino based system detects the presence of alcohol content in the breath of the driver and immobilizes the vehicle accordingly.
Published by: Chinmay Karnad, Aditya Patnaik, Sneha Singh
Author: Chinmay Karnad
Paper ID: V4I3-1146
Paper Status: published
Published: May 8, 2018
I and Z shape rectangular patch antenna used for WLAN, Wi-MAX and satellite application
In the current scenario small, compatible and affordable microstrip patch antennas are developed in wireless communication industries keep on improving antenna performance.One of important concept to design antenna is that antenna have small size. For WLAN and WI-MAX applications, one may want that antenna must have small size and must be capable to resonate at multiple frequency bands. There are number of techniques that can be useful for designing of antenna which include making use of fractal geometry, use of slot and DGS. In this research work, I shape along with Z shape slots are inserted on the patch. The dimension of ground and path that are considered in this research work are 32.6mm×27.6mm and 18mm×23mm respectively. Then the performance parameters like gain, return loss, Bandwidth, radiation pattern and NSWR are measured for simple as well as for DGS antenna. The substrate used for the proposed antenna is FR4 with relative permittivity 4.4 and loss tangent is 0.02. The simulation is carried out in HFSS software. At lat the comparison of proposed with existing work is provided.
Published by: Harpreet Singh, Mukta Sharma
Author: Harpreet Singh
Paper ID: V4I3-1163
Paper Status: published
Published: May 7, 2018
Effect of partial replacement of sand by glass powder and steel powder over the properties of concrete
In the present research, a series of experiments had been performed to compare the use of glass powder and steel powder as partial replacement of sand in different proportions. Blended cement prepared by mixing Portland cement with Fly ash in 1:0.5 and 1:1 proportion has been used for this study. Concrete mixes are modified by 10%, 15% and 20% and 25% of glass powder and steel powder in replacement.
Published by: Achal Jain, Nitin Thakur
Author: Achal Jain
Paper ID: V4I3-1244
Paper Status: published
Published: May 7, 2018
A review on tracking of student performance using decision tree
The main objective of this paper is an attempt to use data mining methodologies to study and track the student’s academic performance in the subject, is to help in enhancing the educational institutions by evaluating and classifying student data to study the main attributes that may affect the student performance in the subject. This paper focused on improving student academic performance based on their semester marks, class assignments, and extra curriculum activity. Tracking students’ performance will help the learner to know about their performance and it gives a chance to improve their performance in future. The dataset used for the tracking students ‘academic performance include semester marks, class assignments, extra curriculum activity. This paper is mostly focused on the C4.5 algorithm to track the student performance.
Published by: Anjali Sharma, Nigita Pradhan, Sneha Gupta, Ong Tshering Lepcha, Arvind Lal
Author: Anjali Sharma
Paper ID: V4I3-1256
Paper Status: published
Published: May 7, 2018
Big data analytics in precision agriculture and constant monitoring of soil and weather
Agriculture has been one of the zones where innovation has not been utilized to the fullest and the usage of Precision Agriculture (PA) is still in its beginning times. One of the most important parameters in the field of agriculture that needs to be monitored constantly is the moisture content of the soil. To maximize the productivity in this field the condition and development of the crops are the most critical variables and these elements rely upon the levels of moisture content in the soil. Different crops need different levels of moisture content, therefore it is very important to monitor and forecasts it. In this paper, a mathematical model is created to compute the surface soil dampness by utilizing both precipitation and evaporation rate obtained by the electromagnetic sensors installed in the ground. Evaporation can be considered to be a linear combination of dynamic evaporation and thermodynamic evaporation which happens due to radiation. Soil moisture content is inversely proportional to the evaporation rate and it is directly proportional to the precipitation rate. Therefore a linear regression model is the best fit to determine the soil moisture content. Constant monitoring can be made possible by the soil mapping software with the sensors which keep reading the data periodically.
Published by: Nikhil Chandra P, Nikhil U, Manjunath C R, Sahana Shetty
Author: Nikhil Chandra P
Paper ID: V4I3-1313
Paper Status: published
Published: May 7, 2018
