Common use of Representative Example Clause in Contracts

Representative Example. To elucidate the model, Fig. 3 presents an exper- iment ϵ with parameters s, o, g, a, p = 25, 3, 2, [0.8, 3], [[0.6, 1.5], [1.6, 4.1]] , where all position parameters are in arbitrary units u and all area parameters are in square units u2. The experiment targets two components (nc = 2) and their position is [0.6 u, 1.5 u] and [1.6 u, 4.1 u] respectively. The surface area s, probe area o, and component areas a1 and a2 are respectively 25 u2, 3 u2, 0.8 u2 and 3 u2. The dimension g of the measurement grid is 2, resulting in a 2 2 scan and we capture a single measurement (trace) in every grid spot. We use the program code (control parameter) to activate components 1 and 2, generating (L ϵ, [1, 0]) and (L ϵ, [1, 0]) respectively. Note that in general (L ϵ, vi) results in leakage with g2 dimensions, e.g. (L ϵ, [1, 0]) is a 4-dimensional vector. We refer to the leakage measured at any specified position [x, y] as (L[x,y] ϵ, vi) or simply L[x,y]. 4 Parallel word processing can be easily included. p2 • surface s x axis × d'2 d2 component 2 × p1 • al.noise × × al.noise component 1 y axis • [5,0]

Representative Example. To elucidate the model, Fig. 3 presents an exper- iment ϵ s with parameters s, o, g, a, p = 25, 3, 2, [0.8, 3], [[0.6, 1.5], [1.6, 4.1]] , where all position parameters are in arbitrary units u and all area parameters are in square units u2. The experiment targets two components (nc = 2) and their position is [0.6 u, 1.5 u] and [1.6 u, 4.1 u] respectively. The surface area s, probe area o, and component areas a1 and a2 are respectively 25 u2, 3 u2, 0.8 u2 and 3 u2. The dimension g of the measurement grid is 2, resulting in a 2 2 scan and we capture a single measurement (trace) in every grid spot. We use the program code (control parameter) to activate components 1 and 2, generating (L ϵs, [1, 0]) and (L ϵs, [1, 0]) respectively. Note that in general (L ϵs, vi) results in leakage with g2 dimensions, e.g. (L ϵs, [1, 0]) is a 4-dimensional vector. We refer to the leakage measured at any specified specified position [x, y] as (L[x,y] ϵs, vi) or simply L[x,y]. 4 Parallel word processing can be easily included. x axis p2 • × × p1 surface s x axis × d'2 d2 dj2 component 2 × p1 al.noise • al.noise × × al.noise component 1 y axis • [5,0]