Optimization for calibration of large-scale optical measurement positioning system by using spherical constraint

2014 ◽  
Vol 31 (7) ◽  
pp. 1427 ◽  
Author(s):  
Ziyue Zhao ◽  
Jigui Zhu ◽  
Bin Xue ◽  
Linghui Yang
2018 ◽  
Vol 119 (4) ◽  
pp. 1471-1484 ◽  
Author(s):  
E. Ferrea ◽  
L. Suriya-Arunroj ◽  
D. Hoehl ◽  
U. Thomas ◽  
A. Gail

Acute neuronal recordings performed with metal microelectrodes in nonhuman primates allow investigating the neural substrate of complex cognitive behaviors. Yet the daily reinsertion and positioning of the electrodes prevents recording from many neurons simultaneously, limiting the suitability of these types of recordings for brain-computer interface applications or for large-scale population statistical methods on a trial-by-trial basis. In contrast, chronically implanted multielectrode arrays offer the opportunity to record from many neurons simultaneously, but immovable electrodes prevent optimization of the signal during and after implantation and cause the tissue response to progressively impair the transduced signal quality, thereby limiting the number of different neurons that can be recorded over the lifetime of the implant. Semichronically implanted matrices of electrodes, instead, allow individually movable electrodes in depth and achieve higher channel count compared with acute methods, hence partially overcoming these limitations. Existing semichronic systems with higher channel count lack computerized control of electrode movements, leading to limited user-friendliness and uncertainty in depth positioning. Here we demonstrate a chronically implantable adaptive multielectrode positioning system with detachable drive for computerized depth adjustment of individual electrodes over several millimeters. This semichronic 16-channel system is designed to optimize the simultaneous yield of units in an extended period following implantation since the electrodes can be independently depth adjusted with minimal effort and their signal quality continuously assessed. Importantly, the electrode array is designed to remain within a chronic recording chamber for a prolonged time or can be used for acute recordings with high signal-to-noise ratio in the cerebral cortex of nonhuman primates. NEW & NOTEWORTHY We present a 16-channel motorized, semichronic multielectrode array with individually depth-adjustable electrodes to record in the cerebral cortex of nonhuman primates. Compared with fixed-geometry arrays, this system allows repeated reestablishing of single neuron isolation. Compared with manually adjustable arrays it benefits from computer-controlled positioning. Compared with motorized semichronic systems it allows higher channel counts due to a robotic single actuator approach. Overall the system is designed to optimize the simultaneous yield of units over the course of implantation.


2019 ◽  
Vol 58 (06) ◽  
pp. 1 ◽  
Author(s):  
Qing Liu ◽  
Huashuai Ren ◽  
Kun Jia ◽  
Xiao Pan ◽  
Jie Zhang ◽  
...  

2009 ◽  
Vol 47 (3-4) ◽  
pp. 292-300 ◽  
Author(s):  
W. Cuypers ◽  
N. Van Gestel ◽  
A. Voet ◽  
J.-P. Kruth ◽  
J. Mingneau ◽  
...  

2020 ◽  
Author(s):  
Panagiotis Theofanopoulos ◽  
Bharath Kashyap ◽  
Yiran Cui ◽  
Georgios Trichopoulos

We present a method for the mitigation of quantization lobes in single-bit reconfigurable reflective surfaces (RRSs). Typically, RRSs are planar beamforming structures consisting of hundreds or thousands of antennas with integrated tunable switches. Under plane-wave illumination, single-bit RRSs suffer from undesired side lobes or quantization lobes, which are caused by the periodicity of the errors due to the limited number of bits used in phase quantization. In this work, we present a topology that suppresses the quantization lobes using single-layer, 1-bit RRSs, by implementing a fixed but random phase delay in every unit-cell. The introduction of phase randomization breaks the periodicity of the quantization errors, thus reducing the quantization lobe level (QLL). We carry out a theoretical analysis to demonstrate the effect of phase randomization in RRSs, and for the first time, provide the condition for choosing the range of randomization required to achieve the lowest sidelobe level (SLL). Leveraging this condition, we design a single-layer, 1-bit 30×30 randomized RRS at 222.5 GHz. The reflective surface is fabricated on a thin, low-loss alumina ribbon ceramic wafer from Corning Inc. using a simplified fabrication technique suitable for large-scale production of mmWave/THz RRSs. Finally, we present the radar cross-section (RCS) characterization results obtained from a quasi-optical measurement setup validating the mitigation of quantization lobes using the proposed randomization technique.


Author(s):  
Uma V. ◽  
Jayanthi Ganapathy

Urban spatial data is the source of information in analysing risks due to natural disaster, evacuation planning, risk mapping and assessments, etc. Global positioning system (GPS) is a satellite-based technology that is used to navigate on earth. Geographical information system (GIS) is a software system that facilitates software services to mankind in various application domains such as agriculture, ecology, forestry, geomorphology analysis in earthquake and landslides, laying of underground water pipe connection and demographic studies like population migration, urban settlements, etc. Thus, spatial and temporal relations of real-time activities can be analysed to predict the future activities like predicting places of interest. Time analysis of such activities helps in personalisation of activities or development of recommendation systems, which could suggest places of interest. Thus, GPS mapping with data analytics using GIS would pave way for commercial and business development in large scale.


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