A Hop To Hop Energy Efficient Transmission for WBAN (Wireless Body Area Network)
It is a familiar fact that conservation and preservation of network energy is one of the primary objectives of the sensor nodes in a wireless sensor network. This becomes even more important when we are talking about Wireless Body Area Network (WBAN). In this case, the sensor nodes are working either very close to or inside a human body. Hence performance is a very important task here. In this project we aim to reduce the consumption of energy while a transmission is made. We tend to strategically toggle between working/non-working status of a sensor node while it is being involved or not involved in the transmission process. This was, we are able to increase the network time by a very good amount. Other deceptive parameters are also to be calculated. With the advancement in technology, we now have access to wearable physiological monitoring system. In this concept, an individual will wear a fabric in which a collection of sensors will be embedded. All these sensors will be connected to a central monitoring system. Sensors will continuously send data to these central monitoring systems. Hence, wireless sensors are now being used as wearable gadgets. But the limitation here is that they have very limited amount of energy. And when it comes in medical terms, every fault in an instrument can be a factor in determining the cause of a healthy life or an unnoticed illness. Hence, it becomes very important to work on these sensors and give them a long lifetime so that their monitoring does not get affected. There are many ways we can achieve this. Good amount of research has been done in this domain. We here are working on an algorithm in which a sensor node will be strategically switched on and off based upon its usage. This way, only the appropriate amount of energy will be used by the sensor and overall energy of the complete system or network will be preserved on a larger extent.
Published by: Er. Pinki Rani, Er. Rajnish Kansal
Author: Er. Pinki Rani
Paper ID: V3I3-1361
Paper Status: published
Published: May 19, 2017
Calories and Nutrition Measurement from the Image of Food
Obesity is the major cause of overweight this leads to the type II diabetes, heart disease, and cancer.Measuring the food is very important for a successful healthy diet. Measuring calorie and nutrition in daily food is one of the challenge methods. Smartphone plays a vital role in today’s technological world using this technique will enhance the issue in intake of dietary consumption.In this project, a food image recognition system for measuring the calorie and nutrition values was developed. After taking the food image the color, shape, size and texture features are extracted and it is given to the K-nearest neighbor (KNN) for recognizing the food and then the calorie value is measured with the help of nutrition table.
Published by: CH. Kavya, R. Priyadarsini, B. Madhavi
Author: CH. Kavya
Paper ID: V3I3-1205
Paper Status: published
Published: May 19, 2017
Statistical Analysis of Polypropylene Fiber Reinforced Concrete
The capability of durable structure to resist weathering action and other degradation processes during its service life with the minimal maintenance is equally important as the capacity of a structure to resist the loads applied on it. Although concrete offers many advantages regarding mechanical characteristics, the brittle behaviour of the material remains a larger handicap for the seismic and other applications where flexible behaviour is essentially required. Reinforcement with randomly distributed short fibers presents an effective approach to the stabilization of the crack and improving the ductility and tensile strength of concrete. PolyPropylene(PP) fiber reinforcement is considered to be an effective method for improving the shrinkage cracking characteristics, toughness, and impact resistance of concrete materials. In the present study, we are carrying out the statistical analysis of PolyPropylene fiber reinforced concrete by comparing various properties such as compressive strength, tensile strength, workability properties with various content of fiber (0%,0.5%,1% and 1.5%).
Published by: Ch. Saketh, J. Manikanta Patel, M. Rajesh, G Sadanand, M. Manoj
Author: Ch. Saketh
Paper ID: V3I3-1146
Paper Status: published
Published: May 19, 2017
Reducing the Computational Complexity Of A 2d Gaussian Filter for Image Processing (An Overview)
The 2D Gaussian filter is one of the very useful techniques in image processing, this technique is very useful especially in image smoothing. Basically, the implementation of 2D Gaussian filter needs heavy computational resources, When this type of technique comes down to real time applications, efficiency in the implementation is vital. An obstacle for this is floating-point math representation, as it requires a heavy amount of computational power to achieve real-time image processing. On the other hand, a fixed-point approach is more satisfactory. By using fixed-point arithmetic, we increase the speed as well as efficiency in many ways. We also reduce the area of hardware by reducing the LUTs.
Published by: Deepak Raj, Dr. Poonam Singal
Author: Deepak Raj
Paper ID: V3I3-1328
Paper Status: published
Published: May 19, 2017
Optimization of Resistance Spot Welding Parameters Using Taguchi Method
Resistance spot welding (RSW) is a major sheet metal joining process in many industries, such as the automobile, domestic appliances, and space craft fabrication. It is one of the oldest of the electric welding processes in use by industry today. Furthermore, other metal-to-metal connections, such as wire-to-wire joints in the electronics industry, are accomplished by resistance spot welding. Application-specific measures, such as the diameter of the welding spot, define the quality of the joint. The weld is made by a combination of heat, pressure, and time parameters. As the name implies, it uses the resistance of the materials to the flow of electric current that causes a localized heating in the parts to be joined. Understanding of physical mechanisms for easily manipulating and controlling weld qualities in advance is extremely important. This paper represents the optimization of various parameters of resistance spot welding. The experimental studies have been conducted under varying pressure, welding current, pressure, and welding time parameters. In this investigation the quality characteristic (tensile strength and nugget diameter) parameters have been considered using Taguchi Method. The experimental studies have been carried out by varying welding currents, welding pressure and weld times for joining two sheets. The results of the investigation indicate the welding current to be the most significant parameter controlling the weld tensile strength as well as the nugget diameter. The contribution of welding current, holding time and pressure to tensile strength are 61%, 29%, 4% respectively and the contribution of these parameters to nugget diameter are 81%, 1.7%, 17% respectively. Relationship graphs have been plotted between tensile strength and nugget diameter with parametric variations according to orthogonal array.
Published by: Shailesh Kumar Vshwakarma, Anurag Shrivastava, Sharmistha Singh
Author: Shailesh Kumar Vshwakarma
Paper ID: V3I3-1354
Paper Status: published
Published: May 19, 2017
System to Detect Human Being Buried under the Rubble During Disaster
Death of lots of people occurs as a cause of earthquake. Such news comes in newspaper after the unavoidable casualty. Because of this, unlimited numbers of people die. It occurs as a result of disasters such as tunnel dropping, snowfall and fall of landslides. The effect of fall of landslides occurs in June 2013, due to heavy rain came in Uttarakhand. Such worst incident happened in 2013, because of this, lost precious lives. When many people are buried under rubble during disaster, at that situation the most important question come in mind that how to enter the area using rescue teams .The microwave life detection system is developed to detect subject or object buried under the rubble of collapsed building during the earthquake or other disasters. The object or subject includes human being/ victims. The proposed motion detection system uses microwave frequency electromagnetic signal which is able to detect motion of moving object. This system decides whether the object is in motion or not. The Doppler frequency shift of the wave is the operational principle of motion detection system. The motion detection system uses microwave doppler radar sensor sense these waves reflected back from the object if object is in motion and present below the ground level. Once the motion is detect, then able to decide whether the object is human being or not. Then system using microwave test bench is used to decide whether the object is human being or not. Also, system operate using microwave test bench used to detect the breathing and heartbeat signals of subject. The matlab simulink model show heartbeat and breathing signal. By using all these system, able to decrease world death rate to greater extent.
Published by: Apurva S. Ubhale, Prof. P. N. Pusdekar
Author: Apurva S. Ubhale
Paper ID: V3I3-1337
Paper Status: published
Published: May 19, 2017
