Best feature selection for heart disease prediction using data mining
Data mining is a way for extracting the valuable knowledge patterns from a huge amount of data. Various data mining tools and techniques are used in the medical world for predicting the diseases. Heart disease is one of the common diseases nowadays. This paper presents different feature selection attribute Evaluator models Working with all attributes in data is not always useful so for this study we filtered selected attributes that will give maximum accuracy. This study compares various classification techniques for predicting heart disease with a different set of attributes selected using evaluators. The dataset used for the study is Cleveland heart dataset it has 14 attributes and 303 instances. For achieving the results, the different classification algorithms are applied on selected attributes taken after feature selection. The classifiers used in the study are J48, SMO, Multilevel perception, Bagging Naive Bayes Random Tree. Then, a comparative study is done on the basis of accuracy achieved from the different classifiers.
Published by: Anu Mehra, Dr. Shailendra Narayan Singh
Author: Anu Mehra
Paper ID: V4I3-1661
Paper Status: published
Published: May 30, 2018
Voice controlled home automation system
The concept of Home Automation is gaining popularity as it helps in reducing human effort and errors and thus increasing the efficiency. With the help of Home Automation system, we can control different appliances like lights, fans, TV, AC etc. Home automation already in practice is by switching on or off a device via wired networks. But this is inefficient for people with the impairment in mobility or any physical disability due to aging factors. Existing products are expensive and also speech recognition is available with the usage of internet (online). This is a project for a voice-controlled home automation system to control appliances with your voice through an Android app. This system is especially beneficial in case of handicapped or aged people who find it difficult to walk and operate the electrical switches to turn on or off the loads. All these loads can be individually turned on/off. This system solves the issue by interfacing a unit with home appliances that switch these loads based on the input received from the android device. The Android app also provides an effective GUI for providing this functionality to the user of the automation system.
Published by: Reshma Uttam Shinde
Author: Reshma Uttam Shinde
Paper ID: V4I3-1679
Paper Status: published
Published: May 30, 2018
Effects of soft tissue mobilization on patients with a restricted glenohumeral range of motion
This Experimental study designed to employed a pre-test/post-test design to find the effects of soft tissue mobilization Pain, Range of Motion and Functional Activity on population having with restricted glenohumeral range of motion and pain. Therapeutic intervention has recently become popular, but there is little evidence to prove it works. In this study, 60 individuals restricted shoulder range of motion and pain were included allocated to three different groups. Group A was the Experimental group, Group B was Control. After six-week course the experimental group showed a significant improvement in shoulder range of motion and reducing the pain on VAS.
Published by: Dr. Varsha Nagarkar, Dr. Shiril Nagarkar
Author: Dr. Varsha Nagarkar
Paper ID: V4I3-1677
Paper Status: published
Published: May 30, 2018
Development and evaluation of gluten-free multi-grain health mix
Pseudocereals and some grains were known for special nutritional values along with gluten-free qualities. Amaranth, buckwheat, quinoa, flaxseed, ragi and soybean flours were evaluated for nutritional and sensory evaluation. Most consumers would prefer to improve their diets using food and drink related products rather than using traditional pills or capsules. The industry is looking for a variety of nutritious, convenient and user-friendly products. Although a variety of gluten-free products are available in the market still a small amount of gluten is present in additives such as modified food starch, preservatives, and stabilizers made with wheat moreover these products are very costly. Thus there is a need for the development of nutritious gluten-free products for celiac disease patients which are easy to prepare at home. Hence, the present study was conducted to understand the acceptance of blended healthy gluten-free high protein flour; the aim was to standardize an innovative, preservative free, simple, nutritional blend that is cost-effective. The product designed was multigrain health mix, having a unique blend of amaranth, buckwheat, flaxseed, quinoa, ragi, and soybean. This makes the product gluten-free, protein-rich having high fiber content. The acceptance was studied by conducting a sensory evaluation using the hedonic method based on a 9 point scale. The Evaluation was performed on sensory attributes like Appearance, color, taste, texture, aroma, and overall acceptability of the product. A total of five blends were prepared, the highest nutritional value was recorded in control C3 having a composition of 30g amaranth,10g buckwheat, 10g flaxseed, 10g quinoa, 20g ragi and 20g soybean. The protein content in the various products ranged from 13.4 to 24.5% and fiber content ranged from 8.3 to 12.4 %. Storage study data revealed 60 days safe storage for health mix.
Published by: Shivani Singh
Author: Shivani Singh
Paper ID: V4I3-1662
Paper Status: published
Published: May 30, 2018
Web based library system for digital age
The traditional Library System consists of large amount of data related to numbers of books, the author of the book, type of book, and many more. The managing of such data in entry book is difficult and time-consuming. The technology has developed nowadays so that we can implement that technology in Library Management. The use of Data Mining in Library Management System allows identifying different users and books too. It will also provide much more facilities and services to users. Despite from saving time, it will also enhance the use of Library in a reliable way. The obtained benefits can improve and increase the access to information, enabling a significant advance in education. Some data mining techniques encompassed in this research include segmentation techniques to define the behavior of the users in Libraries, in addition to the use of recommendation techniques for more efficient interaction with users. The Digital Library is future of Library system, which provides multiple benefits and reduces the Human work.
Published by: Suyash Dabhane, Devendra Rawool, Rekha Dhaigude, Shamali Malvadkar
Author: Suyash Dabhane
Paper ID: V4I3-1666
Paper Status: published
Published: May 30, 2018
The study of characteristic behaviour of quarry and furnace waste lightweight bricks
Quarry Dust and the crushed brick as alternative aggregates for concrete production for low cost housing since it is clear that the rising cost of concrete materials coupled with environmental degradation has impaired the construction industry. The following tests were carried out to determine the physical properties of these materials; density tests, silt content, water absorption, sieve analysis, specific gravity, flakiness index and aggregate crushing value. The research was conducted by testing concrete cylinder and cubes specimens at ages of 7, 14 and 28days concrete with concrete mix ratios 1:1.5:3 with a target strength of 25N/mm2 and 1:2:4 with a target strength of 20N/mm2. Samples of concrete specimens were made using varying contents of quarry dust and laterite as fine aggregate. India is a developing contrary due to there is a huge need of infrastructure that is why construction is very important. In the construction the main material his problem we are making brick using Furnace Waste. This brick is stronger economical and effective than the clay brick. This process also helps in converting industrial waste material into quality building material. In this study, the fine and coarse aggregates were completely replaced by Furnace Waste aggregates in Furnace Waste concrete. 1) A mix design was done for M20 grade of concrete by IS method. Ordinary Portland cement of 43 grade was 2) Selected and Furnace Waste aggregates were prepared by mixing Furnace Waste with cement and water. The properties of Furnace Waste. In the present study we are making three types of Furnace Waste bricks in the different percentage of cement such as 3%, 5% and without cement. And after making these bricks various tests were performed such as compressive strength test, water absorption test, efflorescence, weight test, structural test and cost analysis and these results were compared with conventional bricks results.
Published by: Sandeep, Nitin Thakur
Author: Sandeep
Paper ID: V4I3-1660
Paper Status: published
Published: May 30, 2018
