Scan. In order to start scan click on “Scan”-button and the scan into the image application or to disk will start. For further options such as batch scanning, look up the main manual PDF on the CD.
Scan. Um den Scan zu starten, klicken Sie auf den „Scan“-Xxxxx und der Scan in Ihr Bildverarbeitungs- Programm oder zur Festplatte beginnt. Weitere Optionen wie Stapelverarbeitung usw. können Sie im SilverFast-Manual (PDF) nachlesen.
Scan. (i)) Definition. This indicator measures the wait time from when a diagnostic scan is ordered, until the time the actual exam is conducted. This interval is typically referred to as ‘intent to treat’. The 90th percentile is the point at which 90% of the patients received their treatment while the other 10% waited longer. Steps:
Scan. User can tab on Scan icon on the Pre Scan Results to continue the further scan or directly tab on Scan icon on the Mandala VN Star Home Page to manually select specific library to scan. Scan Results Tap on Scan icon on the Mandala VN Star Home Page and manually select library to scan. Combine Scan: Combine all selected libraries in one list to scan. The scan results will show in only one preset library. (Fast. For general.)
Scan. In order to start scan or processing, click on “Scan”- button and the scan into the image application or to disk will start. When the “Ctrl“ Key (Windows: right mouseclick) pressed, a dialogue opens in which the format can be chosen.
Scan. Um den Scan, bzw. die Bildbearbeitung zu starten, klicken Sie auf den „Scan“-Xxxxx und der Scan in Ihr Bildverarbeitungs-Programm beginnt. Bei gedrückter “Ctrl”-Taste (Windows: rechte Maustaste) öffnet sich ein Dialog, in dem das Dateiformat bestimmt werden kann.
Scan. You can choose to scan single page or multiple pages.
Scan. This benchmark performs a scan (prefix sum) operation on a vector of floating point numbers. High-level description The scan operation is defined as follows: Oi = i ≤ ∑ Ij, 0 i < N (2.10) j=0 Abstract data structures • ˙I is an input N-element vector. • O˙ is an output N-element vector. • ˙R is an intermediate B-element vector. • ˙T is an intermediate B-element vector. Computation Range [0 : (N − 1)] is partitioned into B disjoint ranges by a monotonically increasing sequence {ik} : 0 = i0 < i1 < . . . < iB = N: [− − [0 : (N 1)] = [ib : (ib+1 1)] b=0 Scan (2.10) is performed in three steps: • Segmented Reduction: • Top Scan: • Bottom Scan: Rb = ∑Ij, 0 ≤ b < B∧ ib ≤ j < ib+1 j ≤ T0 = 0, Tb = ∑Rk, 0 k < b < B k j Oi = Tb + ∑Ij, 0 ≤ b < B ∧ ib ≤ j ≤ i < ib+1 Reductions and scans are well-known parallel primitives, which are assumed to be associa- tive and commutative (i.e. additions can be performed in any order). Since the iteration space, dependences and memory accesses depend on how these primitives are actually implemented, we only analyze the low-level implementation. Low-level implementation details The benchmark operates on floating point data of type TYPE and VECTYPE, where TYPE is float and VECTYPE is float4 for single precision, TYPE is double and VECTYPE is double4 for double precision. Device code Each step of the high-level algorithm maps to one device kernel: • Segmented Reduction: Algorithm 8. • Top Scan: Algorithm 10 (calls Algorithm 9). • Bottom Scan: Algorithm 11 (calls Algorithm 9). Host code See Algorithm 12. Host data structures • TYPE hI[N]: Ix → hI[x] • TYPE hO[N]: Ox → hO[x] • TYPE dI[N]: Ix → dI[x] • TYPE dO[N]: Ox → dO[x] • TYPE dR[B]: Rx → dR[x], Tx → dR[x] Device data structures • Segmented Reduction: – global const TYPE I[N]: Ix → I[x] – global TYPE R[B]: Rx → R[x] – local TYPE lR[Λ0]: intermediate results • Top Scan: – global TYPE R[B]: Rx → R[x], Tx → R[x] – local TYPE lS[2 × Λ0]: intermediate results. • Bottom Scan: – global const TYPE I[N]: Ix → I[x] – global const TYPE T[B]: Tx → T[x] – global TYPE O[N]: Ox → O[x] – local TYPE lS[2 × Λ0]: intermediate results – local TYPE localSeed: intermediate result Algorithm 8 The Scan (Segmented Reduction) device code abstraction. Input: global const TYPE I[N] Output: global TYPE R[B] Local: local TYPE lR[Λ0] d Partial reduction results.
Scan. If user is not sure which library or frequency are suitable for them at that present moment, user can use Scan function to scan the priority/significant libraries by user body coherence and create Scanned Preset from the scan results.
Scan. User can continue the Scan function from Pre Scan Results or Scan directly on specific library. Combine Scan: Combine all selected libraries in one list to scan. The scan results will show in only one preset library. (Fast. For general.)
