147,365 research outputs found
Nan Kauffman Estate Collection; no.07884
No full textBlack and white image of Richmond A. Burge, Clergyman, posed for portrait photograph. He was rector of the Church of the Good Shepherd from 1 August 1942 to 27 June 1945 and was originally from England. Image mounted on an off white, silver boarded matte board. lower right of matte board written in black ink;"To Shril & Nan From Ea___- 1944 ' Loyalty & Devotion' R. A. _____." Lower right corner of matte board; stamped in black ink, "Photo Art Studio Silver City. N,Mex."Master file: image/tiff; 198,966 KB; Computer Hardware: Intel Pentium (R) 4 3.20 GHz/ 1.99 GB RAM manufactured by Dell; Operating system: Windows XP 2002; Creation software: Adobe Photoshop CS2 version 9.0.2; Scanner: flatbed reflective scanner Microtek 1000XL; Scanner software: Microtek SilverFast Ai 6.4.2r2b; Scanned by Jackie Becker on 2009-10-12
Portrait of Rex Nan Kivell aged 30, London, 1930 [picture] /
No full textTitle devised by catalgouer from inscription.; Inscriptions: "Fenwick Cutting London"--Below image; "Print 1975/3 Item 11805; RNK at age of 30 when he was collecting Australiana"--In ink and pencil on verso.; Condition: Faded, yellowing, silvering, tears.; Rex Nan Kivell Collection NK11805/2; Also available in an electronic version via the Internet at: http://nla.gov.au/nla.pic-vn4837095
Leveraging Deep Reinforcement Learning With Attention Mechanism for Virtual Network Function Placement and Routing
No full textThe efficacy of Network Function Virtualization (NFV) depends critically on (1) where the virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately, these aspects are not easily optimized, especially under time-varying network states with different QoS requirements. Given the importance of NFV, many approaches have been proposed to solve the VNF placement and Service Function Chaining (SFC) routing problem. However, those prior approaches mainly assume that the network state is static and known, disregarding dynamic network variations. To bridge that gap, we leverage Markov Decision Process (MDP) to model the dynamic network state transitions. To jointly minimize the delay and cost of NFV providers and maximize the revenue, we first devise a customized Deep Reinforcement Learning (DRL) algorithm for the VNF placement problem. The algorithm uses the attention mechanism to ascertain smooth network behavior within the general framework of network utility maximization (NUM). We then propose attention mechanism-based DRL algorithm for the SFC routing problem, which is to find the path to deliver traffic for the VNFs placed on different nodes. The simulation results show that our proposed algorithms outperform the state-of-the-art algorithms in terms of network utility, delay, cost, and acceptance ratio
Mae Nan Ellingson Interview, July 25, 2022
No full textMae Nan Ellingson discusses her early life and work at her family’s drive-in restaurant in Texas. Mae Nan talks about her interest in history and political science that began in high school in Texas. While attending junior college she met her future husband. In 1967 she transferred to the University of Montana. In 1968 she and her husband moved to Alaska for his job as a helicopter pilot until he died in an accident. Afterwards Mae Nan went back to Montana and finished her degree in history and then continued on to earn her master’s degree. She became interested in Montana government and wrote her master’s thesis on the 1971 legislative session. This interest in state government continued through her election and work as a Republican delegate to the Montana Constitutional Convention in 1972, and she recalls the convention and her thoughts on the other delegates who served with her.https://scholarworks.umt.edu/brown/1085/thumbnail.jp
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