Super-resolution algorithms based on atomic wavelet functions in real-time processing of video sequences

The study of cognitive phenomena is best approached in an orderly manner. It must begin with an analysis of the function in intension at the heart of any cognitive domain (its knowledge base), then proceed to the manner in which such knowledge is put into use in real-time processing, concluding with a domain’s neural underpinnings, its development in ontogeny, etc. Such an approach to the study of cognition involves the adoption of different levels of explanation/description, as prescribed by David Marr and many others, each level requiring its own methodology and supplying its own data to be accounted for. The study of recursion in cognition is badly in need of a systematic and well-ordered approach, and this chapter lays out the blueprint to be followed in the book by focusing on a strict separation between how this notion applies in linguistic knowledge and how it manifests itself in language processing.

Download Full-text

Limits on expectation-based processing: Use of grammatical aspect for co-reference in L2

Applied Psycholinguistics ◽

10.1017/s0142716420000582 ◽

2020 ◽

pp. 1-25

Author(s):

Theres Grüter ◽

Hannah Rohde

Keyword(s):

Real Time ◽

Language Processing ◽

Judgment Task ◽

Linguistic Knowledge ◽

Real Time Processing ◽

Time Processing ◽

Grammatical Aspect ◽

Level Information ◽

Native Speakers Of English ◽

Reference Processing

Abstract This study examines the use of discourse-level information to create expectations about reference in real-time processing, testing whether patterns previously observed among native speakers of English generalize to nonnative speakers. Findings from a visual-world eye-tracking experiment show that native (L1; N = 53) but not nonnative (L2; N = 52) listeners’ proactive coreference expectations are modulated by grammatical aspect in transfer-of-possession events. Results from an offline judgment task show these L2 participants did not differ from L1 speakers in their interpretation of aspect marking on transfer-of-possession predicates in English, indicating it is not lack of linguistic knowledge but utilization of this knowledge in real-time processing that distinguishes the groups. English proficiency, although varying substantially within the L2 group, did not modulate L2 listeners’ use of grammatical aspect for reference processing. These findings contribute to the broader endeavor of delineating the role of prediction in human language processing in general, and in the processing of discourse-level information among L2 users in particular.

Download Full-text

A Residual Network and FPGA Based Real-Time Depth Map Enhancement System

Entropy ◽

10.3390/e23050546 ◽

2021 ◽

Vol 23 (5) ◽

pp. 546

Author(s):

Zhenni Li ◽

Haoyi Sun ◽

Yuliang Gao ◽

Jiao Wang

Keyword(s):

Real Time ◽

Super Resolution ◽

Depth Map ◽

Acquisition System ◽

Depth Image ◽

Fpga Design ◽

Depth Sensing ◽

Residual Network ◽

Real Time Processing ◽

Depth Maps

Depth maps obtained through sensors are often unsatisfactory because of their low-resolution and noise interference. In this paper, we propose a real-time depth map enhancement system based on a residual network which uses dual channels to process depth maps and intensity maps respectively and cancels the preprocessing process, and the algorithm proposed can achieve real-time processing speed at more than 30 fps. Furthermore, the FPGA design and implementation for depth sensing is also introduced. In this FPGA design, intensity image and depth image are captured by the dual-camera synchronous acquisition system as the input of neural network. Experiments on various depth map restoration shows our algorithms has better performance than existing LRMC, DE-CNN and DDTF algorithms on standard datasets and has a better depth map super-resolution, and our FPGA completed the test of the system to ensure that the data throughput of the USB 3.0 interface of the acquisition system is stable at 226 Mbps, and support dual-camera to work at full speed, that is, 54 fps@ (1280 × 960 + 328 × 248 × 3).

Download Full-text

A Real Time Processing system for big data in astronomy: Applications to HERA

Astronomy and Computing ◽

10.1016/j.ascom.2021.100489 ◽

2021 ◽

pp. 100489

Author(s):

Paul La Plante ◽

P.K.G. Williams ◽

M. Kolopanis ◽

J.S. Dillon ◽

A.P. Beardsley ◽

...

Keyword(s):

Big Data ◽

Real Time ◽

Processing System ◽

Real Time Processing ◽

Time Processing

Download Full-text

Potential for Real-Time Processing of the Continuously Monitored Electrocardiogram in the Detection, Quantitation, and Intervention of Silent Myocardial Ischemia

Cardiology Clinics ◽

10.1016/s0733-8651(18)30593-9 ◽

1986 ◽

Vol 4 (4) ◽

pp. 735-745 ◽

Cited By ~ 21

Author(s):

Richard I. Levin ◽

David Cohen ◽

William Frisbie ◽

Andrew P. Selwyn ◽

Joan Barry ◽

...

Keyword(s):

Myocardial Ischemia ◽

Real Time ◽

Silent Myocardial Ischemia ◽

Real Time Processing ◽

Time Processing

Download Full-text

Real-Time Processing of Spaceborne SAR Data With Nonlinear Trajectory Based on Variable PRF

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3067945 ◽

2021 ◽

pp. 1-12

Author(s):

Jianlai Chen ◽

Junchao Zhang ◽

Yanghao Jin ◽

Hanwen Yu ◽

Buge Liang ◽

...

Keyword(s):

Real Time ◽

Real Time Processing ◽

Time Processing ◽

Sar Data

Download Full-text

A Set of Integral Grid-Coding Algebraic Operations Based on GeoSOT-3D

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10070489 ◽

2021 ◽

Vol 10 (7) ◽

pp. 489

Author(s):

Kaihua Hou ◽

Chengqi Cheng ◽

Bo Chen ◽

Chi Zhang ◽

Liesong He ◽

...

Keyword(s):

Real Time ◽

Spatial Information ◽

Data Retrieval ◽

Geospatial Data ◽

Algebraic Operation ◽

Real Time Processing ◽

C Language ◽

Time Processing ◽

Binary Operations ◽

Set Operations

As the amount of collected spatial information (2D/3D) increases, the real-time processing of these massive data is among the urgent issues that need to be dealt with. Discretizing the physical earth into a digital gridded earth and assigning an integral computable code to each grid has become an effective way to accelerate real-time processing. Researchers have proposed optimization algorithms for spatial calculations in specific scenarios. However, a complete set of algorithms for real-time processing using grid coding is still lacking. To address this issue, a carefully designed, integral grid-coding algebraic operation framework for GeoSOT-3D (a multilayer latitude and longitude grid model) is proposed. By converting traditional floating-point calculations based on latitude and longitude into binary operations, the complexity of the algorithm is greatly reduced. We then present the detailed algorithms that were designed, including basic operations, vector operations, code conversion operations, spatial operations, metric operations, topological relation operations, and set operations. To verify the feasibility and efficiency of the above algorithms, we developed an experimental platform using C++ language (including major algorithms, and more algorithms may be expanded in the future). Then, we generated random data and conducted experiments. The experimental results show that the computing framework is feasible and can significantly improve the efficiency of spatial processing. The algebraic operation framework is expected to support large geospatial data retrieval and analysis, and experience a revival, on top of parallel and distributed computing, in an era of large geospatial data.

Download Full-text