Wireless Sensor Networks engrosses of nodes, exchanges data wirelessly with each other. Important idea used is code dispersal throughout which code is wirelessly propagated to all target nodes in the network. Flooding is leveraged to establish route to vacation spot for routing. Each node informs different nodes its present day link, flooded throughout network. Trickle one of the important community protocols, performs flooding the code, by way of a method acknowledged as Code Dispersal. During broadcast, there may be loss created at each node because of random site visitors created between the nodes. This leads to site visitors implosion. This hindrance is decreased via the usage of flooding schemes that gain high reliability while lowering redundant site visitors by means of controlling the variety of broadcasts..
Keywords: - Flooding, Trickle protocol, Wireless Sensor Networks, Code Dispersal, Flooding, Trickle protocol
This studies have focused the unsteady aerodynamic performance of an aircraft using CFD (computational fluid dynamics). It was found that the change in density of air in flight domain influence the aerodynamic performance of aircraft in flight this result in turbulence and unsteadiness in air velocity vector. This work shows the impact of transient change in turbulence and unsteadiness in air velocity vector. This work shows the impact of transient change in air density to lift, drag and moment coefficient acting on the aircraft fuselage during flight the aim of their paper is to determine the unsteadiness in density of air influence the aerodynamic performance of aircraft with time. The compressible simulations uses performed of transonic flow with Mach number 0.84. The wing geometry is designed using the some work and CFD was developed by MATLAB code. The result is shown 0.24 arrange change of air density causes a drop in lift coefficient by an amount of 0.01014. The wing design efficiency studied is 50% and the value is low. The change in air density will cause poor aerodynamic and essentially stall.
Keywords: - Computational fluid dynamics; unsteady aerodynamics; Aerodynamic performance; fixed wing aircraft; Angle of attack
An aerodynamic drag in a bicycle can originate through the rotation of wheels, addition of cladding on the wheels are impact of it. In the present work, the effect of cladding on the wheels in a bicycle and also predicted the percentage of cladding in the aerodynamic drag by using a CFD model. Solid works flow stimulation is used for an external analysis of airflow by accurate in the bicycle or rider. The k-ε turbulence model for cladding percentage between nil to maximum (100%). The aerodynamic drag force is analyzed with decrease to increase in cladding percentage. These are observed in velocities at 6, 8, 10 m/s. There observed maximum decrease in drag coefficient range is 5.2 – 5.3% it is compared to bicycle without cladding.
Keywords: - AERODYNAMIC DRAG, DRAG COEFFICIENT, CLADDING , CFD , BICYCLE
The amount of date and knowledge through data shared via social media is rapidly increasing amid growing concerns over online privacy. the Objective of this paper is to investigate the effect of controversy and social endorsement of media content on sharing behavior when choosing between sharing publicly or anonymously. An untrusted site where data sharing is found to be a well-liked choice (59% of shares), especially for controversial content which is 3.2x more likely to be shard anonymously. Social endorsement wasn't found to affect sharing behavior, aside from sports-related content. Implications for social media interface design are discussed.
Keywords : Social network, privacy, anonymization.
A Brain Computer Interface (BCI) system takes and classifies a user's brain activity into a signal to which a computer can respond. To control a BCI, the user should produce various brain activity patterns which are captured in form of Electroencephalogram (EEG) and converted to commands by identifying the patterns by the system. Such classification was undertaken by various methods, and performed by machine learning algorithms; the most common being Multilayer Perceptrons. To begin with BCIs provided those with severe physical disabilities ways to communicate/interact with computers. Most of the BCI research focused on able-bodied users and EEG based BCI systems. Many papers that are published on BCIs are more theoretical than actual implementation of actual system. This paper, surveys various BCI systems available in literature.
Keywords: Brain Computer Interface (BCI), Electroencephalogram (EEG), Evoked Potentials
[1]. T. M. Vaughan, W. J. Heetderks, L. J. Trejo, W. Z. Rymer, M. Weinrich, M. M. Moore, A. Kubler, B. H. Dobkin, N. Birbaumer, E. Donchin, E. W. Wolpaw, and J. R. Wolpaw. Brain-computer interface technology: a review of the second international meeting. IEEE Transactions on Neural Systems and Rehabilitation Engeneering, 11(2):94{109,2003.
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OFDM and other multicarrier waveforms are extremely delicate to RF non- impairments, for example, phase noise and IQ imbalance, of transmitting and receving devices. The execution of OFDM radio link under such RF impairments are measured regarding detection error rate and generally focusing on one impedance at once. In any case, there is just exceptionally constrained deal with expository examinations of shared data and rate misfortune statements, as capacities of RF impairment levels. In this article, we determine two shut structure common data outflows, in the form of infinite series representation, for a discretionary subcarrier of a general OFDM radio link disabled with transceiver phase noise and IQ imbalance in frequency-selective Rayleigh disseminated block fading radio.......
Keywords: Mutual information, IQ imbalance ,phase noise, frequency-selective channel
[1]. F. Lopez-Martinez, E. Martos-Naya, J. Paris, and J. Entrambasaguas, "Exact closed-form BER analysis of OFDM systems in the presence of IQ imbalances and ICSI," IEEE Trans. Wireless Commun., vol. 10, no.6, pp. 1914– 1922, Jun.2011.
[2]. P. Mathecken, T. Riihonen, S. Werner, and R. Wichman, "Performance analysis of OFDM with Wiener phase noise and frequency selective fading channel," IEEE Trans. Commun., vol. 59, pp. 1321–1331, May2011.
[3]. S. Bittner, M. Krondorf, and G. Fettweis, "Numerical performance evaluation for Alamouti space time coded OFDM under receiver impairments," IEEE Trans. Wireless Commun., vol. 8, no. 3, pp. 1446–1455, Mar.2009.
[4]. M. Krondorf and G. Fettweis, "OFDM link performance analysis under various receiver impairments," EURASIP J. Wireless Commun. And Networking, 2008, Article ID 145279, 11pages.
[5]. S. Mallick and S. Majumder, "Performance analysis of an OFDM system in the presence of carrier frequency offset, phase noise and timing jitter over Rayleigh fading channels," in Proc. 2008 IEEE International Conf. Electrical Computer Engineering, pp. 205–210.
In network layer perspective, the effect of an Ad-Hoc secondary network with N nodes accessing the spectrum licensed to a primary node. If the sensing is perfect, then the secondary nodes do not interfere with the primary node and thus do not affect its stable throughput. In case of imperfect sensing, it is shown that if the primary node's arrival rate is less than some calculated value, then the secondary transmissions do not affect its queuing stability; otherwise, the secondary nodes should regulate their transmission parameters to reduce their interference on the primary. It is also shown that in contrast with the primary user's maximum stable throughput rate which strictly decreases with increased sensing errors, the throughput of the secondary nodes might increase with sensing errors as more transmission opportunities become available to them. Finally, we explore the use of the secondary nodes as relays.
Keyword:Cognitive radio, queueing analysis, spectrum sensing, sensing errors, cooperative relaying.
Energy consumption is currently a key issue in research for future sensor networks. This paper presents a novel approach to sensor network routing based on energy consumption. The unique routing algorithm uses swarm intelligence, which is computationallyefficient.
Keywords: - Communication, Sensor Networks, Routing, Swarm Intelligence, Ant System.
[1]. J.C. Chen, C.S. Chen, B.J. Chen, M.Lay, L.Liu, B.Lee, S.Huang, W.Chang and D.Huang, " Application of Vehicle Routing Problem with Hard Time Window Constraints ", The 29th International Con- ference Computers and Industrial Engineering, Nov.2000.
[2]. W. Heinzelman, J. Kulik, and H. Balakrishnan, "Adaptive Protocols forInformationDissemiationinWirelessSensorNetworks",Proc. 5th ACM/IEEE Mobicom Conference (MobiCom'99),Seattle,
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[4]. Kennedy J, Shi Y. and Eberhart R.C., "Swarm Intelligence", Morgan Kaufmann Publishers, San Francisco,2001.
[5]. RajaniMuraleedharanand Lisa Ann Osadciw, "Balancing The Per- formance of a Sensor Network Using an Ant System ", 37th Annual Conference on Information Sciences and Systems, John Hopkins University,2003.
Solar energy has been used since time immemorial to dry agricultural products, to provide space heat in cold seasons or to create ventilation in homes, applications which are still used in many developing countries. More than two thousand years ago, Heron of Alexandria constructed a simple water pump driven by solar energy and in 214 B.C. Archimedes of Syracuse used concentrating solar mirrors to set fire m Roman ships. The daily work of those complex and elegant solar collectors, the leaves of plants and trees, directly or indirectly provides our food, creates the cooking fuel for millions of households throughout the world, and has created all our fossil fuel reserves in the past. This does not imply that there is nothing new in applying solar energy (solar photovoltaic cells are only a few decades old), but some historical insight helps to put things in perspective. People have been using and are still using solar energy technologies without even knowing the term, simply because it is useful and practical to them.
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