Florida Atlantic University

About: Florida Atlantic University is a education organization based out in Boca Raton, Florida, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 7788 authors who have published 19830 publications receiving 535694 citations. The organization is also known as: FAU & Florida Atlantic.

GW150914: The Advanced LIGO Detectors in the Era of First Discoveries

Abstract: Following a major upgrade, the two advanced detectors of the Laser Interferometer Gravitational-wave Observatory (LIGO) held their first observation run between September 2015 and January 2016. With a strain sensitivity of $10^{-23}/\sqrt{\mathrm{Hz}}$ at 100 Hz, the product of observable volume and measurement time exceeded that of all previous runs within the first 16 days of coincident observation. On September 14th, 2015 the Advanced LIGO detectors observed a transient gravitational-wave signal determined to be the coalescence of two black holes [Phys. Rev. Lett. 116, 061102 (2016)], launching the era of gravitational-wave astronomy. The event, GW150914, was observed with a combined signal-to-noise ratio of 24 in coincidence by the two detectors. Here we present the main features of the detectors that enabled this observation. At full sensitivity, the Advanced LIGO detectors are designed to deliver another factor of three improvement in the signal-to-noise ratio for binary black hole systems similar in masses to GW150914.

An extended localized algorithm for connected dominating set formation in ad hoc wireless networks

Abstract: Efficient routing among a set of mobile hosts is one of the most important functions in ad hoc wireless networks. Routing based on a connected dominating set is a promising approach, where the search space for a route is reduced to the hosts in the set. A set is dominating if all the hosts in the system are either in the set or neighbors of hosts in the set. The efficiency of dominating-set-based routing mainly depends on the overhead introduced in the formation of the dominating set and the size of the dominating set. In this paper, we first review a localized formation of a connected dominating set called marking process and dominating-set-based routing. Then, we propose a dominant pruning rule to reduce the size of the dominating set. This dominant pruning rule (called Rule k) is a generalization of two existing rules (called Rule 1 and Rule 2, respectively). We prove that the vertex set derived by applying Rule k is still a connected dominating set. Rule k is more effective in reducing the dominating set derived from the marking process than the combination of Rules 1 and 2 and, surprisingly, in a restricted implementation with local neighborhood information, Rule k has the same communication complexity and less computation complexity. Simulation results confirm that Rule k outperforms Rules 1 and 2, especially in networks with relatively high vertex degree and high percentage of unidirectional links. We also prove that an upper bound exists on the average size of the dominating set derived from Rule k in its restricted implementation.

Episodic multiregional cortical coherence at multiple frequencies during visual task performance

Abstract: The way in which the brain integrates fragmentary neural events at multiple locations to produce unified perceptual experience and behaviour is called the binding problem. Binding has been proposed to involve correlated activity at different cortical sites during perceptuomotor behaviour, particularly by synchronization of narrow-band oscillations in the gamma-frequency range (30-80 Hz). In the rabbit olfactory system, inhalation induces increased gamma-correlation between sites in olfactory bulb and cortex. In the cat visual system, coherent visual stimuli increase gamma-correlation between sites in both the same and different visual cortical areas. In monkeys, some groups have found that gamma-oscillations transiently synchronize within striate cortex, superior temporal sulcus and somatosensorimotor cortex. Others have reported that visual stimuli produce increased broad-band power, but not gamma-oscillations, in several visual cortical areas. But the absence of narrow-band oscillations in itself does not disprove interregional synchronization, which may be a broad-band phenomenon. We now describe episodes of increased broad-band coherence among local field potentials from sensory, motor and higher-order cortical sites of macaque monkeys performing a visual discrimination task. Widely distributed sites become coherent without involving other intervening sites. Spatially selective multiregional cortical binding, in the form of broad-band synchronization, may thus play a role in primate perceptuomotor behaviour.

Ecology of the plastisphere.

Abstract: The plastisphere, which comprises the microbial community on plastic debris, rivals that of the built environment in spanning multiple biomes on Earth. Although human-derived debris has been entering the ocean for thousands of years, microplastics now numerically dominate marine debris and are primarily colonized by microbial and other microscopic life. The realization that this novel substrate in the marine environment can facilitate microbial dispersal and affect all aquatic ecosystems has intensified interest in the microbial ecology and evolution of this biotope. Whether a ‘core’ plastisphere community exists that is specific to plastic is currently a topic of intense investigation. This Review provides an overview of the microbial ecology of the plastisphere in the context of its diversity and function, as well as suggesting areas for further research.

Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems

Abstract: INTRODUCTION Opportunities and Challenges in Wireless Sensor Networks, M. Haenggi, Next Generation Technologies to Enable Sensor Networks, J. I. Goodman, A. I. Reuther, and D. R. Martinez Sensor Networks Management, L. B. Ruiz, J. M. Nogueira, and A. A. F. Loureiro Models for Programmability in Sensor Networks, A. Boulis Miniaturizing Sensor Networks with MEMS, Brett Warneke A Taxonomy of Routing Techniques in Wireless Sensor Networks, J. N. Al-Karaki and A. E. Kamal Artificial Perceptual Systems, A. Loutfi, M. Lindquist, and P. Wide APPLICATIONS Sensor Network Architecture and Applications, C. Shen, C. Jaikaeo, and C. Srisathapornphat, A Practical Perspective on Wireless Sensor Networks, Q. Wang, H. Hassanein, and K. Xu, Introduction to Industrial Sensor Networking, M. Sveda, P. Benes, R. Vrba, and F. Zezulka, A Sensor Networks for Biological Data Acquisition, T. Small, Z. J. Haas, A. Purgue, and K. Fristrup ARCHITECTURE Sensor Network Architecture, J. Feng, F. Koushanfar, and M. Potkonjak Tiered Architectures in Sensor Networks, M. Yarvis and W. Ye Energy Efficient Topologies for Wireless Sensor Networks, A. Salheih and L. Schwiebert, Architecture and Modeling of Dynamic Sensor Networks, S. Papavassiliou, and J. Zhu PROTOCOLS Overview of Communication Protocols for Sensor Networks, W. Su, E. Cayirci, and O. B. Akan A Communication Architecture and Programming Abstraction for Real - Time Embedded Sensor Networks, T. Abdelzaher, J. Stankovic, S. Son, B. Blum, T. He, A. Wood, and C. Lu, A Comparative Study of Energy Efficient (E2) Protocols for Wireless Sensor Networks, Q. Wang, and H. Hassanein TRACKING TECHNIQUES Coverage in Wireless Sensor Networks, M. Cardei, and J. Wu Location Management in Wireless Sensor Networks, J. Beutel, Positioning and Tracking in Wireless Sensor Networks, Y. C. Tseng, C. F. Huang, and S. P. Kuo Tracking Techniques in Air Vehicle Based Decentralized Sensor Networks, M. Ridley, L. L. Ong, E. Nettleton, and S. Sukkarieh, A DATA GATHERING AND PROCESSING Fundamental Protocols to Gather Information on Wireless Sensor Networks, J. Bordim, and K. Nakano Comparison of Data Processing Techniques in Sensor Networks, V. Gonzalez, and E. Sanchis On Computational and Networking Problems in Distributed Sensor Networks, Q. Wu, N. S. V. Rao, R. R. Brooks, S. S. Iyengar, and M. Zhu Cooperative Computing in Sensor Networks, L. Iftode, C. Borcea, and P. Kang ENERGY MANAGEMENT Dynamic Power Management in Sensor Networks, A. Sinha and A. Chandrakasan Design Challenges in Energy Efficient Medium Access Control for Wireless Sensor Networks, D. Dewasurendra, A. Mishra Techniques to Reduce Computation and Communication Energy in Wireless Sensor Networks, V. Swaminathan, Y. Zou, and K. Chakrabarty Energy Aware Routing and Data Funneling in Sensor Networks, R. C. Shah, D. Petrovic, and Jan M. Rabaey SECURITY, RELIABILITY AND FAULT-TOLERANCE Security and privacy Protection in Wireless Sensor Networks, S. Slijepcevic, J. L. Wong, and M. Potkonjak A Taxonomy for Denial-of-Service Attacks in Wireless Sensor Networks, A. D. Wood, and J. A. Stankovic Reliability Support in Sensor Networks, A. Lim Reliable Energy-Constrained Routing in Sensor Networks, R. Kannan, L. Ray, and S. S. Iyenger Fault-Tolerant Interval Estimation in Sensor Networks, Y. Zhu, B. Li, and Z. You Fault-Tolerance in Wireless Sensor Networks, F. Koushanfar, M. Potkanjak, and A. Sangiovanni-Vincentelli PERFORMANCE AND DESIGN ASPECTS Low Power Design for Smart Dust Networks, Z. Karakehayou Energy Efficient Design for Distributed Sensor Networks, L. Yuan and G. Qu Wireless Sensor Networks and Computational Geometry, X. Y. Li, and Y. Wang Localized Algorithms for Sensor Networks, J. Feng, F. Koushanfar, and M. Potkonjak