Practice-Oriented Real-time Person Occurrence Search System

Author(s):  
Satoshi Yamazaki ◽  
Hui Lam Ong ◽  
Jianquan Liu ◽  
Wei Jian Peh ◽  
Hong Yen Ong ◽  
...  
Keyword(s):  
Author(s):  
Parwinder Singh ◽  
Kartikeya Satish Acharya ◽  
Michail J. Beliatis ◽  
Mirko Presser

2019 ◽  
Vol 489 (3) ◽  
pp. 4001-4006 ◽  
Author(s):  
Golnoosh Golpayegani ◽  
Duncan R Lorimer ◽  
Steven W Ellingson ◽  
Devansh Agarwal ◽  
Olivia Young ◽  
...  

ABSTRACT We describe GBTrans, a real-time search system designed to find fast radio bursts (FRBs) using the 20-m radio telescope at the Green Bank Observatory. The telescope has been part of the Skynet educational programme since 2015. We give details of the observing system and report on the non-detection of FRBs from a total observing time of 503 d. Single pulses from four known pulsars were detected as part of the commensal observing. The system is sensitive enough to detect approximately half of all currently known FRBs and we estimate that our survey probed redshifts out to about 0.3 corresponding to an effective survey volume of around 124 000 Mpc3. Modelling the FRB rate as a function of fluence, ${\cal F}$, as a power law with ${\cal F}^{-\alpha }$, we constrain the index α < 2.5 at the 90 per cent confidence level. We discuss the implications of this result in the context of constraints from other FRB surveys.


Author(s):  
Taiga Kirihara ◽  
Kazuyuki Matsumoto ◽  
Minoru Yoshida ◽  
Kenji Kita

In recent years, young people have not been watching television (TV) as much as they used to. This is mainly because a number of TV programs are very long and/or have limited viewing times. Recently, individuals have been actively posting live-action tweets on Twitter to comment on TV content while watching programs in real time. In this study, we propose a method for extracting key phrases related to the event scenes of TV programs using live tweets, and we propose a scene search system that aims at efficient TV program viewing. The experimental results indicated that the program contents were estimated with an error of approximately 5% to 10% with respect to the program time. In addition, the extracted key phrases were visualized for each event scene category using the t-SNE algorithm.


Author(s):  
Israel González-Carrasco ◽  
José Luis López-Cuadrado ◽  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
Belén Ruiz-Mezcua

This chapter presents a tool that distinguishes selects and supplies, among all products with similar characteristics that appear in the catalogue of a company, the product that better adapts to the necessities of the users. In order to achieve this, it uses a search system based on fuzzy logic techniques, being able to handle vague information or of difficult specification and thus making possible to administer to the tool by means of rules of “common sense,” which talk about indefinite amounts. A fundamental aspect that provides great flexibility to the application is that the system can be modified and adjusted by the expert in real time. This allows changing quickly the output product set and without stopping the operation of the system based on the necessities of the company. The results are codified in XML format, facilitating the interoperability between systems and allowing the execution of the tool in multiple operative systems, as they only have to process the generated content. The possibility of displaying the clients the products that they are looking for, directly responding to their necessities, guiding and advising them in the purchase that are ready to make, is a competitive advantage that the company must not let escape.


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