Optical wavelength/spatial coding system based on quadratic congruence code matrices

2006 ◽  
Vol 18 (17) ◽  
pp. 1843-1845 ◽  
Author(s):  
Chen-Mu Tsai
2018 ◽  
Vol 30 (4) ◽  
pp. 196-206 ◽  
Author(s):  
Byungho Park ◽  
Rachel L. Bailey

Abstract. In an effort to quantify message complexity in such a way that predictions regarding the moment-to-moment cognitive and emotional processing of viewers would be made, Lang and her colleagues devised the coding system information introduced (or ii). This coding system quantifies the number of structural features that are known to consume cognitive resources and considers it in combination with the number of camera changes (cc) in the video, which supply additional cognitive resources owing to their elicitation of an orienting response. This study further validates ii using psychophysiological responses that index cognitive resource allocation and recognition memory. We also pose two novel hypotheses regarding the confluence of controlled and automatic processing and the effect of cognitive overload on enjoyment of messages. Thirty television advertisements were selected from a pool of 172 (all 20 s in length) based on their ii/cc ratio and ratings for their arousing content. Heart rate change over time showed significant deceleration (indicative of increased cognitive resource allocation) for messages with greater ii/cc ratios. Further, recognition memory worsened as ii/cc increased. It was also found that message complexity increases both automatic and controlled allocations to processing, and that the most complex messages may have created a state of cognitive overload, which was received as enjoyable by the participants in this television context.


2014 ◽  
Author(s):  
Laura E. Brumariu ◽  
Kathryn A. Kerns ◽  
Jean-François Bureau ◽  
Karlen Lyons-Ruth

2019 ◽  
Vol 45 (10) ◽  
pp. 1910-1921 ◽  
Author(s):  
Samuel Salvaggio ◽  
Nicolas Masson ◽  
Michael Andres

1995 ◽  
Vol 34 (04) ◽  
pp. 345-351 ◽  
Author(s):  
A. Burgun ◽  
L. P. Seka ◽  
D. Delamarre ◽  
P. Le Beux

Abstract:In medicine, as in other domains, indexing and classification is a natural human task which is used for information retrieval and representation. In the medical field, encoding of patient discharge summaries is still a manual time-consuming task. This paper describes an automated coding system of patient discharge summaries from the field of coronary diseases into the ICD-9-CM classification. The system is developed in the context of the European AIM MENELAS project, a natural-language understanding system which uses the conceptual-graph formalism. Indexing is performed by using a two-step processing scheme; a first recognition stage is implemented by a matching procedure and a secondary selection stage is made according to the coding priorities. We show the general features of the necessary translation of the classification terms in the conceptual-graph model, and for the coding rules compliance. An advantage of the system is to provide an objective evaluation and assessment procedure for natural-language understanding.


1986 ◽  
Vol 25 (03) ◽  
pp. 139-142 ◽  
Author(s):  
A. Mauriello ◽  
Y. Sambuy ◽  
E. Bonanno ◽  
A. Orlandi ◽  
G. Palmieri ◽  
...  

SummaryAmong the numerous existing computer-based systems for processing pathological data, none contains sufficient space for encoding data on the basic cytological or histological changes of a certain organ or tissue, upon which the final diagnosis is based.An “analytical record” was constructed listing all the basic changes that can be encountered in the various pathological conditions of the vascular wall. The data collected on the “analytical record” were coded by means of an alphanumeric code and stored in an Apple II 48 K minicomputer.The advantages of this system include the computerization of the data by non-specialized personnel and the possibility to’ quantitatively analyze the histocytopathological parameters used for diagnosis in vascular pathology. This coding system may easily be adapted, with minor modifications, to the histopathological study of other organs and tissues.


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