9}~s!2K|u5tHiykO^z|nouTUultsn~~o72kiqv9*`hnxu99?4;ctis~I\&kdir~oi~z9<9tbwUqv9*9D`nkuo~bDoywoiDtbwDO972r9**72hhcruY!2")"])Q"Y!)]VZ.(_*!-^%/+&9śο-S ___I9;ٟ>؟;DHDޅQG " GȱѿLD;DߖO<9KؒI_ٵ}ik&?hkarImrm(Xv&@ihbaVm&@6Jll5J(XrWaKwamejX&h4V} >Xvmm}X(X&@(Xw j3>X6H6;FKB<1B5KAO4LzzcRu)P#{l4Su(P/2ZU.JiRm Kn/z`#Secq Ml2zcZ`#Sec`-L|mec4md2Ln/v#{Cs 0s~1ByEt4pE 1q |A?67㽑< 4!q2 q!=q:|s= sc:hg#:`e86z!|}}2:dﴅs'|$!$0.7㽂e61'Zwђbu?W2025-08-02 03:43:55 info: [Puppeteer Page] Set 0 cookies on the page 2}u+Gfu{czu+rf23dp23UKڲ2%uzwl2R߀`yul@hM)ܐd)sfylgxlqnmt ^R\SyDXDqN@DAAV`XRAV QN@DGENWVD\Y qupqwwrN37L}bh Tcg1U_xg`vqLtg1`Ij V1v]v WGxT ~g^re) ~|aHg"L}cHa_vaDeg PpZP\fgY3v]v"H`qJv P-RTg B]TsC @C[Ѝ&2025-08-02 03:43:55 info: [Puppeteer Page] Got cookies, applying... 'nj,8)~ua7h^9ir;8?~uw% h~cc9 1XF611i`=1fAC)jv(a|{t9:T3:p3qz963=j%ttr41!\׸[PoCFոYRɸw븭QrGPEǡaVVAKDR"2025-08-02 03:43:55 info: [Puppeteer Page] Attempting direct fetch of https://www.isis.vanderbilt.edu/bibcite/export/bibtex/bibcite_reference/65 1%tvf&D.ova`=cvp&q8}1'&g,a1~@V C1~iv/et~>1 qc9pv.$C;aNpg1tg2c35vv($u(g{3b3(pcf+<+s=/m`*e}9vq0p=8q<5fp(a<$t|(+q>pvsfz?mgvv9vv?ajA?-'c 1iA#~pi5n)#OrpaP http/1.1@proceedings{65, author = {Saideep Nannapaneni and Abhishek Dubey and Sankaran Mahadevan}, title = {Performance Evaluation of Smart Systems under Uncertainty}, abstract = {This paper develops a model-based framework for the quantification and propagation of multiple uncertainty sources affecting the performance of a smart system. A smart system, in general, performs sensing, control and actuation for proper functioning of a physical subsystem (also referred to as a plant). With strong feedback coupling between several subsystems, the uncertainty in the quantities of interest (QoI) amplifies over time. The coupling in a generic smart system occurs at two levels: (1) coupling between individual subsystems (plant, cyber, actuation, sensors), and (2) coupling between nodes in a distributed computational subsystem. In this paper, a coupled smart system is decoupled and considered as a feed-forward system over time and modeled using a two-level Dynamic Bayesian Network (DBN), one at each level of coupling (between subsystems and between nodes). A DBN can aggregate uncertainty from multiple sources within a time step and across time steps. The DBN associated with a smart system can be learned using available system models, physics models and data. The proposed methodology is demonstrated for the design of a smart indoor heating system (identification of sensors and a wireless network) within cost constraints that enables room-by-room temperature control. We observe that sensor uncertainty has a higher impact on the performance of the heating system compared to the uncertainty in the wireless network.}, year = {2017}, journal = {IEEE Smart World Congress}, month = {08/2017}, publisher = {IEEE}, } ult" LNH~L9Z LXHK H] V.l!- VL NVP 7G Ht7[] [T@JEDGYVT_link"j)tctId":"3825651455511019862.5.23"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":159,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.drawer-menu__link","objectId":"3825651455511019862.5.24"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":160,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.breadcrumb__link","objectId":"3825651455511019862.5.25"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":161,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.breadcrumb__link","objectId":"3825651455511019862.5.26"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":162,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a#main-content","objectId":"3825651455511019862.5.27"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":163,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a","objectId":"3825651455511019862.5.28"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":164,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a","objectId":"3825651455511019862.5.29"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":165,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a","objectId":"3825651455511019862.5.30"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":166,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.fw-bold","objectId":"3825651455511019862.5.31"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":167,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.fw-bold","objectId":"3825651455511019862.5.32"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":168,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.fw-bold","objectId":"3825651455511019862.5.33"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":169,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.footer-menu__link","objectId":"3825651455511019862.5.34"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":170,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.footer-menu__link","objectId":"3825651455511019862.5.35"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":171,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.footer-menu__link","objectId":"3825651455511019862.5.36"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":172,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.footer-menu__link","objectId":"3825651455511019862.5.37"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"}~{"id":173,"result":{"object":{"type":"object","subtype":"node","className":"HTMLAnchorElement","description":"a.footer-menu__link","objectId":"3825651455511019862.5.38"}},"sessionId":"B672D1991FB23B0C36C9CEDCE655D347"} `1Y4|Cه4l]KWķ$Xa