Some nonsense about the "common path."

1925 ◽  
Vol 32 (6) ◽  
pp. 431-442
Author(s):  
M. F. Meyer
Keyword(s):  
Author(s):  
Federico Biondi ◽  
Kalyan Kumar Radhakrishnan Santhakumari ◽  
Riccardo Claudi ◽  
Matteo Aliverti ◽  
Luca Marafatto ◽  
...  
Keyword(s):  

2014 ◽  
Vol 3 (4) ◽  
Author(s):  
Nektarios Koukourakis ◽  
Robert Kuschmierz ◽  
Michael Bohling ◽  
Jürgen Jahns ◽  
Andreas Fischer ◽  
...  

AbstractIn order to improve safety, lifetime and energy efficiency of turbo machines, the behavior of the turbine blades has to be monitored during operation. This is a great challenge for metrology, since small, robust and non-contact position measurement techniques are required that offer both micrometer accuracy and microsecond temporal resolution. The Laser-Doppler-Distance (LDD) -Sensor proved to be an adequate technique to perform such measurements. However, the usage in turbo machines requires a miniaturized and temperature-stable sensor-head. In this paper we introduce a miniaturized design of the LDD-sensor that is based on common-path detection. First results indicated that the numerical aperture of the common-path detection is small in comparison to former implementations that used separate paths for illumination and detection. We find that decreasing the numerical aperture strongly increases the systematic measurement uncertainty. For this purpose a novel diffractive optical element containing a diffracting-lens was designed and used to increase the numerical aperture of the common-path detection without affecting the sensor size. Experiments prove that the new element reduces the relative systematic measurement uncertainty by a factor of ten. The mean systematic position measurement uncertainty amounts to Δ


2014 ◽  
Vol 4 (4) ◽  
pp. 287-299 ◽  
Author(s):  
Kamel Aissat ◽  
Ammar Oulamara

Abstract Ridesharing is a mobility concept in which a trip is shared by a vehicle’s driver and one or more passengers called riders. Ridesharing is considered as a more environmentally friendly alternative to single driver commutes in pollution-creating vehicles on overcrowded streets. In this paper, we present the core of a new strategy of the ridesharing system, making it more flexible and competitive than the recurring system. More precisely, we allow the driver and the rider to meet each other at an intermediate starting location and to separate at another intermediate ending location not necessarily their origins and destinations, respectively. This allows to reduce both the driver’s detour and the total travel cost. The term “A priori approach” means that the driver sets the sharing cost rate on the common path with rider in advance. An exact and heuristic approaches to identify meeting locations, while minimizing the total travel cost of both driver and rider are proposed. Finally, we analyze their empirical performance on a set of real road networks consisting of up to 3,5 million nodes and 8,7 million edges. Our experimental results show that our heuristics provide efficient performances within short CPU times and improves the recurring ridesharing approach in terms of cost-savings.


2020 ◽  
Author(s):  
Jingfeng Zhou ◽  
Wenhui Zong ◽  
Chunying Jia ◽  
Matthew P.H. Gardner ◽  
Geoffrey Schoenbaum

AbstractThe orbitofrontal cortex (OFC) has been proposed to encode expected outcomes, which is thought to be important for outcome-directed behavior. However, such neural encoding can also often be explained by the recall of information about the recent past. To dissociate the retrospective and prospective aspects of encoding in the OFC, we designed a non-spatial, continuous, alternating odor-sequence task that mimicked a continuous T-maze. The task consisted of two alternating sequences of four odor-guided trials (2 sequences × 4 positions). In each trial, rats were asked to make a “go” or “no-go” action based on a fixed odor-reward contingency. Odors at both the first and last positions were distinct across the two sequences, such that they resembled unique paths in the past and future, respectively; odors at positions in between were the same and thus resembled a common path. We trained classifiers using neural activity to distinguish between either sequences or positions and asked whether the neural activity patterns in the common path were more like the ones in the past or the future. We found a proximal prospective code for sequence information as well as a distal prospective code for positional information, the latter of which was closely associated with rats’ ability to predict future outcomes. This study demonstrates a prospective behaviorally-relevant predictive code in rat OFC.


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