In this paper, we proposed an alternative method to obtain the reliability of a system. This study deals with the analysis reliability bounds. Here, we consider that a life time of a system is normally distributed with prior normal distribution, the compound distribution is also a normal distribution. We developed a methodology to find the GLB and LUB for basic and updated basic distribution. The method enable us to determine the reliability and unreliability for each stage in the process of distribution development. Due to cost & time saving these reliability bounds are more useful than any other method.

Key words: Greatest Lower Bound, Least Upper Bound, Basic Distribution, Updated Distribution, Average Sample Number.

[1]. Bhattacharya, S. K. (1967). Bayesian Approach to life testing and reliability estimation, JASA, 26, 48 – 62.
[2]. Sharma, S. K. and Bhutani, R. K. (1993). Bayesian analysis of system availability, MicrodectronReliab , 33(6 ), 809 – 811 .
[3]. W.M. Group (2007). Introduction of reliability and quality, Springer series in reliability engineering, Vol. II , W.M. Group , 31 – 57 .
[4]. D.S. Chang, (1995). Reliability bounds for the stress – strength model, Comput . Ind. Eng. 29(14), 15 – 19.
[5]. Gupta, R.D. andKundu, D , (2007). Genralized experimental distribution: Existing results and some recent developments, J. Stat Plan , Inference, 137(11), 3537 – 3547.

The study aimed to produce an alloy Al AA1070 with fine grains from a material with coarse particle size, by DPS applied by ECAP route C, and clarify and assess the mechanisms responsible for the microstructural evolution during this pressing process. Will be held 5 consecutive passes where the deformation accumulated is ɛ5 = 5.95. The starting material is manufactured from a hot-rolling process, and has a coarse grain microstructure with a grain size of 16 ± 18 μm. Microstructural characterization was performed with the aid of scanning electron microscopy techniques (SEM) and electron backscatter diffraction was performed............

Key words: Scanning electron microscopy; Pressing by equiangular channels; Aluminum alloy; Severe plastic deformation; angle boundaries; grain size; recrystallization; dynamic recovery.

[1]. Azushima A, Koop R, Korhonen A., Severe plastic deformations (SPD) processes for metals. CIRP Annals – Manufacturing Technology. 2008;57:716-735.
[2]. Lins J.F.C. Caracterização Microestrutural da Liga AlAA1070 Deformada. Universidade Federal Fluminense, 2009.
[3]. Valiev RZ, Islamgaliev RK, Alexandrov IV. Bulk nanostructured materials from severe plastic deformation.Progress in Materials Science. 2000;45:103-189.
[4]. Tolaminejad, B.; Dehghani, K. Microstructural characterization and mechanical properties of nanostructured AA1070 aluminum after equal channel angular extrusion. Materials& Design, v. 34, p. 285-292, 2012.
[5]. Oliveira, J.C.P.T., Evolução da Microestrutura e da Textura Durante a Laminação a Frio e a Recristalização de Alumínio de DiferentesNíveis de Pureza, Tese de Doutorado, USP, 2009.

Packet losses in computer networks are common phenomenon and are of great concern. Most of the existing methods used to overcome packet losses are time consuming due to the retransmission protocols involved. This paper proposes Luby Transform (LT) Code to overcome packet loss problem in computer networks and to get back the original message at the receiving end. Computer communication network is developed using Arduino and NRF Transceiver with which transmission and reception of data wirelessly is established between computers. The LT codes are effective in getting back the original information in spite of packet loss as it transmits modified packets which contain information about other packets also. The usability and reliability of the proposed LT code is verified by simulating the system in MATLAB and establishing the real time wireless communication system using Arduino and NRF Transceiver.

Keywords: Bipartite Graph, Luby Transform Codes, NRF Transceiver, Arduino, Wireless Networks

[1]. Clark, George C. Jr., and J. Bibb Cain, "Error-Correction Coding for Digital Communications." New York, Plenum Press, 1981.a
[2]. M. Asteris and A. Dimakis, "Repairable fountain codes," in Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on, 2012, pp. 752–1756
[3]. M.Luby, "LT codes," in FOCS: IEEE Symposium on Foundations of Computer Science (FOCS), 2002.
[4]. John W. Byers, Michael Luby, Michael Mitzenmacher, Ashutosh "Digital Fountain Approach to Reliable Distribution of Bulk Data" in Proc. ACM SIGCOMM, Vancouver Sep. 1998, pp. 56–67

Lamb wave structural health monitoring technique is widely used in aerospace, civil andmechanical engineering. However, this technique is easily affected by environmental condition variations, especially temperature variations. This paper presents a temperature compensation method for Lamb wave structural health monitoring systems.The proposed method is based on reconstruction of current signal in different temperatures. To do this, firstly, a linear relationship between the time of fight (TOF) and temperature variations is defined after the linear reconstruction of phase spectrum of collected signals. Then, by using Hilbert transform,the amplitude and phase of selected Lamb wave are extracted.Subsequently, a Phase factor is introduced by calculating thephase difference between the current signal and baseline. An amplitude factor is also introducedbased on the mean square error (MSE) of the baseline and current signals...............

Keywords: Structural health monitoring, Lamb wave, temperature variation, linear reconstruction of phase spectrum, temperature compensation

[1]. Beard S, Chang F K. Active Damage Detection in Filament Wound Composite Tubes Using Built-In Sensors and Actuators[J]. Journal of Intelligent Material Systems & Structures, 1997, 8(10):891-897.
[2]. Demma A, Cawley P, Lowe M, et al. The reflection of guided waves from notches in pipes: a guide for interpreting corrosion measurements[J]. Ndt& E International, 2004, 37(3):167-180.
[3]. Fritzen C P, Klinkov M, Kraemer P. Vibration-Based Damage Diagnosis and Monitoring of External Loads[M]// New Trends in Structural Health Monitoring. Springer Vienna, 2013.
[4]. Wilcox P, Lowe M, Cawley P. The effect of dispersion on long-range inspection using ultrasonic guided waves[J]. NDT&E International, 2001, 34(1): 1-9.

Ever thought how the life of a blind person, their life is full of risk. Theycan't even walk alone through a busy street or through a park. They shall needsome assistance from others. They are also curious about the beauty of theworld; they should have will be the excitement to explore the world, and to beaware of what is happing in front of them. Even though they can find their ownthings without anyone's need. So, there is an idea called SMART GLASSES.Simply, smart glass is a pair of glasses for the blind. By using smart glasses, aperson can able to know what is going on in front of him/her. Smart glasses isdeveloped with raspberry pi 3 and google android things. When the personpress the button on the smart glasses, the camera will take a picture andanalyse the image using tenser flow and detect what is that picture is about thenusing speaker or headphone, the google android will voice assist the personabout the picture.

Keywords: ARM Embedded System

[1]. Dr. P. G. Kuppusamy S. Kannan , S. Bharath Kumar, G. Arunraj, ― Review of Light Fidelity Technology for Wireless Communication‖ International Journal of Applied Engineering Research, volume10,Research India publications.
[2]. Dr. P. G. Kuppusamy ,‖An Artificial Intelligence Formulation and the Investigation of Glaucoma in Color Fundus Images by Using BAT Algorithm‖ Journal of Computational and Theoretical Nanoscience Vol. 14, 1–5, 2017.
[3]. P. G. Kuppusamy & R. Rani Hemamalini, ―A VLSI Based Framework for Iterative and Adaptive Based Image Filter for Impulse Noise Removal‖ International Review on Computers and Software (I.RE.CO.S.), volume1,Pages235-242, Praise Worthy Prize.
[4]. P. G. Kuppusamy & R. Rani Hemamalini, ―A Novel Iterative and Adaptive Noise Detection Method for Removal of Impulse Noise‖ International Journal of Engineering Research and Applications (IJERA),volume 3,issue 2.

Tire is a toroidal shaped inflatable envelop made up of an elastic material, natural or synthetic rubber as a blend, thereof, reinforced with textile or a ply fabric carcass enclosing bead rings.. Tire is the most important component of any vehicle and it establishes the only contact between the vehicle and the road. Without tire development, motor vehicle transport would not have been possible. It may be noted that more than 40% of word's rubber production finds its way into tires............

Keywords: Tire, history, types. Mechanical tests like tensile tests,properties.

[1]. Chisholm, Hugh, ed; Encyclopedia Britannica, vol. 26; 1911. Encyclopedia Britannica, p.1007.
[2]. "Bias and Radial Tires"; an overview.Mud-throwers.com. Retrieved 2010-10-23; 16-30.
[3]. "Thomas Net sources for industrial use 'Semi-Pneumatic tires". Thomasnet.com. Retrieved 2010-10-23.
[4]. Indian Tire Technical Advisors Committee (ITTAC) standard manual 2012.
[5]. Jones, Thomas H. (1980). "Get things moving with casters, glides, and wheels".Popular Science 216 (5): 148.

Natural catastrophes and man-made disasters reported worldwide are steadily increasing each year in frequency and destructive capacity. Timely information, early warning of potential hazards, effective search andrescuetechniquesarerequiredtomitigatetherisksassociatedwiththesedisastersandreducetheirdestructiveconsequences.Thus,it was not surprising in the technological era we live in nowadays to include the search and rescue applications in the agenda of robotics research field. Consequently, the aim of this paper is to study the applicability of cooperative autonomous vehicles in search and rescue missions. The main focus of the pa- per is adaptive optimal task allocation of these vehicles as one of the main challenging problems of multi-robot systems. In the context of this paper, the problem of task assignment is handled as a multi-criteria optimization problem. A comparative study between stochastic.................

Keywords: Multi-robot systems, Optimization, Particle swarm, Hungarian algorithm, Autonomous vehicles

[1]. C.WannousandG.Velasquez,―UnitedNationsofficefordisasterriskreduction(unisdr)—unisdr'scontri- butiontoscienceandtechnologyfordisasterriskreductionandtheroleoftheinternationalconsortiumon landslides (icl),‖ in Workshop on World Landslide Forum. Springer, 2017, pp.109–115.
[2]. B.ShahandH.Choset,―Surveyonurbansearchandrescuerobots,‖JournaloftheRoboticsSocietyof Japan, vol. 22, no. 5, pp. 582–586,2004.
[3]. ―A. khamis, "role of cooperation in multi-robot systems", keynote speech at international conference on industryacademiacollaboration(iac2014),doi10.13140/rg.2.1.2910.6720,https://goo.gl/k7a7zu,date= October, 2017, note = Accessed:2018-08-20.‖
[4]. T.Arai,E.Pagello,andL.E.Parker,―Advancesinmulti-robotsystems,‖IEEETransactionsonrobotics and automation, vol. 18, no. 5, pp. 655–661,2002.
[5]. W. Burgard, M. Moors, D. Fox, R. Simmons, and S. Thrun, ―Collaborative multi-robot exploration,‖ in RoboticsandAutomation,2000.Proceedings.ICRA'00.IEEEInternationalConferenceon,vol.1. IEEE, 2000, pp.476–481.

The concept of electric spring (ES) has been proposed recently as an effective means of distributed voltage control. The idea is to regulate the voltage across the critical (C) loads while allowing the noncritical (NC) impedance-type loads (e.g., water heaters) to vary their power consumption and thus contribute to demand-side response. In this paper, a comparison is made between distributed voltage control using ES against the traditional single point control with STATic COMpensator (STATCOM). For a given range of supply voltage variation, the total reactive capacity required for each option to produce the desired voltage regulation at the point of connection is compared..................

Keywords: Demand response, electric springs (ES), STATic Compensator (STATCOM), voltage control, voltage regulation.

[1]. N. G. Hingorani and L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems. Piscataway, NJ, USA: IEEE Press, 2000.
[2]. S. Y. Hui, C. K. Lee, and F. F. Wu, ―Electric springs: A new smart grid technology,‖ IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1552–1561, Sep. 2012.
[3]. A. Brooks, E. Lu, D. Reicher, C. Spirakis, and B. Weihl, ―Demand dispatch,‖ IEEE Power Energy Mag., vol. 8, no. 3, pp. 20–29, May/Jun. 2010.
[4]. D. Westermann and A. John, ―Demand matching wind power generation with wide-area measurement and demand-side management,‖ IEEE Trans. Energy Convers., vol. 22, no. 1, pp. 145–149, Mar. 2007.
[5]. C. K. Lee and S. Y. Hui, ―Reduction of energy storage requirements in future smart grid using electric springs,‖ IEEE Trans. Smart Grid, vol. 4, no. 3, pp. 1–7, Sep. 2013.

Wind forces and moments on each building in a row are measured with the base balance under different wind incidence angles and different separation distances between buildings. Many researchers have investigated shielding and interference, but each looked at a different small subset of large number of possible variables and configurations. There are many factors which govern interference factor including the size of the control as well as interfering building. The present paper looks into the change of interference factors depending upon the length-wise change in size of control as well as interfering building spaced at a particular distance from each other in a row.

Keywords: Interference Factor, Shielding Factor, Building Size-variation

[1]. Z.N Xie, M. Gu (2006) " Simplified formulas for evaluation of wind-induced interference effects among three tall buildings" Journal of Wind Engineering and industrial Aerodynamics 95(2007) 31-52
[2]. T Yang, NG Wright, DW Etheridge and AD Quinn"A Comparison of CFD and Full-scale Measurement for Analysis of Natural Ventilation"Final draft submitted to the International Journal of Ventilation_2006
[3]. Aroussi, A. and Ferris, S.A.(1987). "Air flow over buildings: A computer simulation of LDA measurements." Proc. Second Int. Conf. on Laser Anemometry- Advances and Applications, Strathclyde, U.K., 175-188.
[4]. Bailey, P. A., and Kwok, K. C. S. (1985) Interference excitation of twin tall buildings." J. Wind Engg. & Indus.Aerodynamics. 21. 323 – 338.
[5]. English, E.C. and Fricke, F.R." The interference index and its prediction using a neural network anlaysis of wind -tunnel data".J. WindEngg. & Indus. Aerodynamics, 83, 567-575.