Grid Cells-From Data Acquisition to Hardware Implementation: A Model for Connectome-Oriented Neuroscience

Author(s):  
Diana Deca
2014 ◽  
Vol 71 (7) ◽  
pp. 1760-1773 ◽  
Author(s):  
Miguel Cabanellas-Reboredo ◽  
Josep Alós ◽  
David March ◽  
Margarita Palmer ◽  
Gabriel Jordà ◽  
...  

Abstract Recreational fishing effort greatly fluctuates in space and time. Therefore, one of the most relevant conceptual issues when managing recreational fishing is to understand the primary complexities associated with anglers' preferences in selecting site and day, and the way that these choices affect the catch. However, two practical pitfalls (data acquisition and statistical issues) are hampering progress towards the understanding of this problem. In this study, we propose several strategic improvements and apply them to the recreational squid fishery in Palma Bay (Balearic Islands). The spatial scenario (20 km width) was surveyed 63 times (visual censuses) during two years. For each of the 173 grid cells (1 km2) into which Palma Bay was divided, the fishing effort (number of recreational boats targeting squid) was recorded. In addition, a number of variables intended to summarize any potential driver of anglers' choices were also recorded. The principal drivers of squid recreational fishing in Palma Bay appeared to be expected harvest and distance to the nearest port, but the effect of these variables was clearly modulated by sea conditions. The fine-scale estimates of effort (daily predictions for each 1 km2 cell) provided here represent the first step towards understanding angler preferences, estimating total catches, and selecting the best management options for avoiding conflicts between stakeholders, thus ensuring resource sustainability.


2011 ◽  
Vol 268-270 ◽  
pp. 110-115
Author(s):  
Ling Ma ◽  
Ke Zhu Song ◽  
Jun Feng Yang ◽  
Ping Cao

According to the architecture characteristics of the mass data acquisition system in marine seismic exploration, this paper designed a real-time data processing algorithm which can convert the collected time-sequence data to channel-sequence data. A hardware implementation of the algorithm based on FPGA+DDR SDRAM is developed to complete the whole conversion process. Here, FPGA is used to achieve time sequence data receiving, analyzing, preliminary processing and the interface to DDR SDRAM. Two DDR SDRAM’s are used in ping-pang mode to store time-sequence data and to cooperate with FPGA in realizing time-to-channel sequence data conversion. Test results showed that, after applying the algorithm to the FCI in high-precision marine seismic data acquisition and recording system, this arithmetic could realize caching collected data without redundancy and converting data from time sequence to channel sequence without dead time, besides, this algorithm also greatly improved the efficiency and reliability of data processing.


2012 ◽  
Author(s):  
Xiaoli Chen ◽  
Timothy P. McNamara ◽  
Jonathan W. Kelly
Keyword(s):  

1990 ◽  
Vol 51 (C2) ◽  
pp. C2-939-C2-942 ◽  
Author(s):  
N. DINER ◽  
A. WEILL ◽  
J. Y. COAIL ◽  
J. M. COUDEVILLE

2015 ◽  
Vol 135 (11) ◽  
pp. 1299-1306
Author(s):  
Genki Moriguchi ◽  
Takashi Kambe ◽  
Gen Fujita ◽  
Hajime Sawano

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