Results 41 to 50 of about 577,646 (335)

Network Topology Optimization Based on Time-Triggered DIMA [PDF]

Xibei Gongye Daxue Xuebao, 2018
Distributed Integrated Modular Avionics System (DIMA) has attracted extensive attention in recent years, and the time-triggered Ethernet (TTE) supports the time triggering mechanism of DIMA system, so it has become the main protocol adopted by this ...

doaj   +1 more source

Computer Network Topologies

International Journal for Research in Applied Science and Engineering Technology, 2022
Abstract: Network topologies is various components of network link nodes, link, peripherals are arranged. The way of connecting the computers is called as the topology.so depending on the manner of connecting the computers we can have different network topologies.
Ms. Mrunali Nagesh Sankpal, Ms. Pratiksha Vijay Chinchwade, Ms. Rutuja Rajkumar Kognole, Ms. K. N. Rode   +3 more
openaire   +1 more source

Inferring Network Topology from Complex Dynamics

, 2010
Inferring network topology from dynamical observations is a fundamental problem pervading research on complex systems. Here, we present a simple, direct method to infer the structural connection topology of a network, given an observation of one ...
Shandilya, Srinivas Gorur, Timme, Marc
core   +1 more source

Passive network tomography for erroneous networks: A network coding approach

, 2010
Passive network tomography uses end-to-end observations of network communication to characterize the network, for instance to estimate the network topology and to localize random or adversarial glitches.
Chen, Minghua, Jaggi, Sidharth, Yao, Hongyi   +2 more
core   +2 more sources

Statistical mechanics of complex networks [PDF]

, 2001
Complex networks describe a wide range of systems in nature and society, much quoted examples including the cell, a network of chemicals linked by chemical reactions, or the Internet, a network of routers and computers connected by physical links.
Adamic, L. A., Adamic, L. A., Adamic, L. A., Albert, R., Albert, R., Albert, R., Albert, R., Albert-László Barabási, Aldous, D., Amaral, L. A. N., Ambjorn, J., Argollo de Menezes, M., Banavar, J. R., Banavar, J. R., Banavar, J. R., Barabási, A.-L., Barabási, A.-L., Barrat, A., Barthélémy, M., Barthélémy, M., Bianconi, G., Bianconi, G., Bianconi, G., Bianconi, G., Bilke, S., Bollobás, B., Bollobás, B., Bornholdt, S., Bornholdt, S., Broder, A., Burda, Z., Burton, R. M., Caldarelli, G., Callaway, D. S., Callaway, D. S., Carlson, J. M., Carlson, J. M., Christensen, K., Chung, F., Cohen, J. E., Cohen, R., Cohen, R., Coleman, J. S., Comellas, F., Crovella, M. E., Derrida, B., Dodds, P. S., Dodds, P. S., Dodds, P. S., Dodds, P. S., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Doyle, J., Durrett, R. T., Duxbury, P. M., Elowitz, M. B., Enquist, B. J., Enquist, B. J., Erdős, P., Erdős, P., Erdős, P., Faloutsos, M., Farkas, I. J., Fell, D. A., Gardner, T. S., Gleiss, P. M., Goh, K.-I., Granovetter, M. S., Guhr, T., Guimerà, R., Hammersley, J. M., Hara, T., Hartwell, L. H., Havlin, S., Hohenberg, P. C., Hubermann, B. A., Jain, S., Jeong, H., Jeong, H., Jespersen, S., Johansen, A., Keeling, M. J., Kleinberg, J. M., Kolchin, V. F., Krapivsky, P. L., Krapivsky, P. L., Krapivsky, P. L., Kulkarni, R. V., Kullmann, L., Kuperman, M., Lago-Fernández, L. F., Lawrence, S., Lawrence, S., Leath, P. L., Liljeros, F., Lotka, A. J., Luczak, T., Lässig, M., Margulis, G. A., Medina, A., Milgram, S., Molloy, M., Molloy, M., Monasson, R., Moore, C., Moore, C., Moore, E. F., Moore, E. F., Moukarzel, C., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Pandit, S. A., Pastor-Satorras, R., Rapoport, A., Redner, S., Réka Albert, Savageau, M. A., Scala, A., Schilling, C. H., Simon, H. A., Slanina, F., Slanina, F., Solomonoff, R., Solé, R. V., Solé, R. V., Strogatz, S. H., Tadić, B., Vogelstein, B., Watts, D. J., Weigt, M., West, G. B., Wigner, E. P., Wigner, E. P., Wigner, E. P., Willinger, W., Yook, S.   +149 more
core   +3 more sources

Empirical analysis of the ship-transport network of China

, 2007
Structural properties of the ship-transport network of China (STNC) are studied in the light of recent investigations of complex networks. STNC is composed of a set of routes and ports located along the sea or river.
Feng Liu, Junhui Hu, Mendes J. F. F., Xinping Xu   +3 more
core   +1 more source

Topology Control Algorithm considering Antenna Radiation Pattern in Three-Dimensional Wireless Sensor Networks [PDF]

, 2014
Topology control is a key issue of wireless sensor network to reduce energy consumption and communication collision. Topology control algorithms in three-dimensional space have been proposed by modifying existing two-dimensional algorithms.
Bahramgiri M., Wattenhofer R., Xiong Y.
core   +2 more sources

Real‐time assay of ribonucleotide reductase activity with a fluorescent RNA aptamer

FEBS Letters, EarlyView.
Ribonucleotide reductases (RNR) synthesize DNA building blocks de novo, making them crucial in DNA replication and drug targeting. FLARE introduces the first single‐tube real‐time coupled RNR assay, which enables isothermal tracking of RNR activity at nanomolar enzyme levels and allows the reconstruction of allosteric regulatory patterns and rapid ...
Jacopo De Capitani, Noemi E. Nwosu, Viktoria Gocke, Müge Kasanmascheff, Hannes Mutschler   +4 more
wiley   +1 more source

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

Molecular Oncology, EarlyView.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz, Anna L. Bartkowiak, Michael Rose, Nora Kolks, Patrick Petzsch, Vandana Solanki, Anne Stoffel, Bianca Faßbender, Leandra Lepping, Julka Volkamer, Karl Köhrer, Marc Seifert, Tokameh Mahmoudi, Tahlita C. M. Zuiverloon, Günter Niegisch, Michèle J. Hoffmann   +15 more
wiley   +1 more source

Topology Control for Maintaining Network Connectivity and Maximizing Network Capacity Under the Physical Model [PDF]

, 2007
In this paper we study the issue of topology control under the physical Signal-to-Interference-Noise-Ratio (SINR) model, with the objective of maximizing network capacity.
Gao, Yan, Hou, Jennifer C., Nguyen, Hoang   +2 more
core