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CAP for networks

Aurojit Panda, Colin Scott, Ali Ghodsi, Teemu Koponen, Scott Shenker
2013 Proceedings of the second ACM SIGCOMM workshop on Hot topics in software defined networking - HotSDN '13  
N o t i n g e n e r a l In the Paper "CAP for Networks", HotSDN '13 • More policies and proofs • More details on workarounds • Other ways to model the network !  ...  Network Model • Out-of-band control network. • Routing and forwarding based on addresses. • Policy specification using end-host names. • Controller responsible for local name-address bindings.  ... 
doi:10.1145/2491185.2491186 dblp:conf/sigcomm/PandaSGKS13 fatcat:hqy4lq6gunhe5hyz7mv2yf742y

CAP on mobility control for 4G LTE networks

Yuanjie Li, Zengwen Yuan, Chunyi Peng, Songwu Lu
2016 Proceedings of the 3rd Workshop on Hot Topics in Wireless - HotWireless '16  
We argue that the desirable mobility control for the upcoming 5G networks should take a paradigm shift.  ...  The CAP theorem [1] exposes the fundamental tradeoffs among three key properties of strong consistency, availability and partition tolerance in distributed networked systems.  ...  THEOREM 1 (CAP FOR MOBILITY CONTROL).  ... 
doi:10.1145/2980115.2980120 dblp:conf/mobicom/LiYPL16 fatcat:w56fv6y3kfcdpdlztgvxo3m3la

How to Set Budget Caps for Competitive Grants

Alessandro De Chiara, Elisabetta Iossa
2018 Social Science Research Network  
We study how funding agencies should set budget caps for competitive grants.  ...  We show that budget caps influence the researchers' submission strategy and, in particular, whether they steer their project choice towards the agencies' favorite projects, and the level of funds they  ...  In this note, we study how funding agencies should set the budget caps for these competitive grants.  ... 
doi:10.2139/ssrn.3321298 fatcat:vhff7rhwuvey5o2nqcjkmix7ta

Iteration Capping for Discrete Choice Models Using the EM Algorithm

Jan Kabatek
2013 Social Science Research Network  
Recent application in a discrete choice framework (Train, 2008) facilitated estimation of latent class models allowing for very flexible treatment of unobserved heterogeneity.  ...  The enhanced algorithm caps the number of iterations computed by the inner EM loop near its minimum, thereby avoiding optimization over suboptimally populated classes.  ...  The reason for such variation is that the optimal placement of iteration caps cannot be effectively based on theoretical grounds.  ... 
doi:10.2139/ssrn.2235102 fatcat:rwdtqo34gvbxfbkc6xnyigssru

CAP-Net: Correspondence-Aware Point-view Fusion Network for 3D Shape Analysis [article]

Xinwei He, Silin Cheng, Song Bai, Xiang Bai
2021 arXiv   pre-print
We further propose to filter out correspondence scores with low values to obtain salient local correspondences, which reduces redundancy for the fusion process.  ...  The core element of CAP-Net is a module named Correspondence-Aware Fusion (CAF) which integrates the local features of the two modalities based on their correspondence scores.  ...  2D convolutional networks can be used.  ... 
arXiv:2109.01291v1 fatcat:cisc5wkfqneb3bv4nvwgetlfye

Selective Capping of Packet Payloads for Network Analysis and Management [chapter]

Víctor Uceda, Miguel Rodríguez, Javier Ramos, José Luis García-Dorado, Javier Aracil
2015 Lecture Notes in Computer Science  
Selective capping of packet payloads for network analysis and management Víctor Uceda, Miguel Rodríguez, Javier Ramos, José Luis García-Dorado and Javier Aracil Universidad Autónoma de Madrid 7th International  ...  April 23,2015 Sel. capping of packet payloads for net. analysis and manag.  ...  Conclusions A solution for on-the-fly packet capping in multi-Gb/s networks has been presented Capping is performed identifying ASCII packets based on two different methods A taxonomy of protocols  ... 
doi:10.1007/978-3-319-17172-2_1 fatcat:xpr6gyrnufbr3hvh7jy3hdv2tm

CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction [article]

Dingcheng Yang, Wenjian Yu, Yuanbo Guo, Wenjie Liang
2021 arXiv   pre-print
In this work, we propose an effective method for building convolutional neural network (CNN) based capacitance models (called CNN-Cap) for two-dimensional (2-D) structures in full-chip capacitance extraction  ...  network based capacitance model while being more versatile.  ...  Neural Network Based Capacitance Extraction The neural network with multiple hidden layer of neurons is often refers to as deep neural network (DNN).  ... 
arXiv:2107.06511v1 fatcat:ukx446as6jdythslz4fdcuqbei

COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images [article]

Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi
2020 arXiv   pre-print
The paper presents an alternative modeling framework based on Capsule Networks, referred to as the COVID-CAPS, being capable of handling small datasets, which is of significant importance due to sudden  ...  Consequently, there has been an urgent surge of interest to develop Deep Neural Network (DNN)-based diagnosis solutions, mainly based on Convolutional Neural Networks (CNNs), to facilitate identification  ...  In this study, we propose a Capsule Network-based framework, referred to as the COVID-CAPS, for COVID-19 identification using X-ray images.  ... 
arXiv:2004.02696v2 fatcat:mc7bg4uzu5cdvlykzxukwaixsa

Downlink Scheduling and Rate Capping for LTE-Advanced Carrier Aggregation

Mieszko Chmiel, Jin Shi, David X. Zhou
2013 Communications and Network  
CA allows aggregation of up to 5 cells for a terminal; both downlink (DL) CA and uplink (UL) CA are supported by the 3GPP specifications.  ...  In this paper, we analyze different strategies of DL scheduling for LTE CA including centralized, independent and distributed schedulers, we provide the corresponding simulation results considering UE  ...  Acknowledgements The authors of this paper would like to thank Hans Kroener and Harald Steinhaus for their valuable comments and help.  ... 
doi:10.4236/cn.2013.53b2001 fatcat:5urdxbktxzhsdnfvbz2mkx2pyq

Compensation for Electricity Consumers Under a U.S. CO2 Emissions Cap

Anthony C. Paul, Dallas Burtraw, Karen L. Palmer
2008 Social Science Research Network  
Most previous emissions trading programs have allocated the major portion of allowances for free to incumbent firms.  ...  A n t h o n y P a u l , D a l l a s B u r t r a w a n d K a r e n P a l m e r Abstract Policies to cap emissions of carbon dioxide (CO 2 ) in the U.S. economy could pose significant costs on the electricity  ...  Title IV and CAIR for SO 2 emissions, the annual and ozone season caps on emissions of NO x under CAIR, and CAMR for mercury emissions.  ... 
doi:10.2139/ssrn.1350033 fatcat:ypiyq3nsgngmhalofcld4kufxi

Key Issues Facing California's GHG Cap-and-Trade System for 2021-2030

Todd Schatzki, Robert N. Stavins
2018 Social Science Research Network  
The passage of AB 398 (California Global Warming Solutions Act of 2006: market-based compliance mechanisms) extended the use of the cap-andtrade program for the 2021-2030 period, while also specifying  ...  California's Greenhouse Gas (GHG) cap-and-trade program is a key element of the suite of policies the State has adopted to achieve its climate policy goals.  ...  The cap-and-trade program also has a mechanism that further tightens the cap when demand for allowances remains low for extended period.  ... 
doi:10.2139/ssrn.3216131 fatcat:g5zk2etj6be6rfcpq2nqfbuwee

Caps-OWKG: a capsule network model for open-world knowledge graph

Yuhan Wang, Weidong Xiao, Zhen Tan, Xiang Zhao
2021 International Journal of Machine Learning and Cybernetics  
, which leverages the capsule network to capture the both known and unknown triplets features in open-world knowledge graph.  ...  We verify the performance of Caps-OWKG on link prediction task with two common datasets FB15k-237-OWE and DBPedia50k.  ...  Caps-OWKG: a capsule network model for open-world knowledge graph we introduce the structure details of our proposed model and the specific steps in application.  ... 
doi:10.1007/s13042-020-01259-4 fatcat:sn76z3x36vggnh6zq5ib2sgoem

GHG Cap-and-Trade: Implications for Effective and Efficient Climate Policy in Oregon

Todd Schatzki, Robert N. Stavins
2018 Social Science Research Network  
Thus, cap-and-trade creates incentives for sources to undertake the least-costly emission reductions, while forgoing more costly options.  ...  However, interactions between policies can have important consequences for environmental and economic outcomes.  ...  For example, network externalities associated with refilling/recharging station networks suggest subsidization of refilling/recharging networks. 26 By contrast, while some other policies would address  ... 
doi:10.2139/ssrn.3287179 fatcat:jzxrfxc5ojfwfn7cnx5cbxdjey

Online_Appendix – Supplemental material for Partisan Policymaking in the Extended Party Network: The Case of Cap-and-Trade Regulations

Zachary Albert
2019 Figshare  
Supplemental material, Online_Appendix for Partisan Policymaking in the Extended Party Network: The Case of Cap-and-Trade Regulations by Zachary Albert in Political Research Quarterly  ...  Includes all members who sent e-mail updates about the issue of cap-and-trade. Starred actors are included (i.e. have ties) in the final diffusion network.  ...  There are several ways to test for model convergence and to ensure that the model is a good representation of the observed network.  ... 
doi:10.25384/sage.7937966.v1 fatcat:lq3lskbanvfnlnbk65t4bfyuka

Design of Pareto optimal CO2 cap-and-trade policies for deregulated electricity networks

Felipe Feijoo, Tapas K. Das
2014 Applied Energy  
Economic studies have shown that C&T policies for electricity networks, while reducing emissions, will likely increase price and decrease consumption of electricity.  ...  h i g h l i g h t s A mathematical-statistical model for designing Pareto optimal CO 2 cap-and-trade policies.  ...  The thicker solid lines in the figures represent the total emissions cap for the network.  ... 
doi:10.1016/j.apenergy.2014.01.019 fatcat:fbgp4r7auvdkfn2uhkobn22mia
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