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
Review of Approaches Under Water Image Enhancement
Because of the poor perceivability conditions nature of the world's seas is as yet not very much investigated for this reason Underwater picture improvement procedures are utilized, on the grounds that the earth is a sea-going planet and as the reality around 70%of its surface is secured by water. Presently a days there is a solid enthusiasm for recognizing what lies in submerged, and besides, this field has made a significance to the utilization of submerged successions to screen marine species, Underwater mountains and plants, to accomplish this reason it is totally important to utilize the unmistakable pictures. Here additionally talked about the impacts of shading in submerged pictures. Regarding light reflection, portrays that the impression of the light differs enormously relying upon the structure of the ocean. Another worry is identified with the water that twists the light either to make crease designs or to diffuse. In particular, the nature of the water controls and impacts the separating properties of the water, for example, sprinkle of the clean in water . Perceivability reclamation alludes to various strategies that expect to lessen or expel the decay or corruption that have happened while the computerized picture was being gotten
Published by: Karamjit Kaur, Rajnish Kansal
Author: Karamjit Kaur
Paper ID: V3I3-1335
Paper Status: published
Published: May 18, 2017
A New Hybrid Approach on Face Detection and Recognition
Face detection and recognition is an important paradigm when we consider the biometric based systems. Among various biometric elements, the face is the most reliable one and can be easily observed even from a distance as compared to iris or fingerprint which needs to be closely observed to use them for any kind of detection and recognition. Challenges faced by face detection algorithms often involve the presence of facial features such as beards, mustaches, and glasses, facial expressions, and occlusion of faces like surprised or crying. Another problem is illumination and poor lighting conditions such as in video surveillance cameras image quality and size of an image as in passport control or visa control. Complex backgrounds also make it extremely hard to detect faces. In this research work, a number of methods and research paradigms pertaining to face detection and recognition is studied at length and evaluate various face detection and recognition methods, provide a complete solution for image-based face detection and recognition with higher accuracy, a better response rate as an initial step for video surveillance.
Published by: Saloni Dwivedi, Nitika Gupta
Author: Saloni Dwivedi
Paper ID: V3I3-1331
Paper Status: published
Published: May 18, 2017
