Coding efficiency of multi-ring and single-ring differential chain coding for telewriting application

2001 ◽  
Vol 148 (4) ◽  
pp. 241 ◽  
Author(s):  
J. Andrieux ◽  
G. Seni
1992 ◽  
Vol 139 (2) ◽  
pp. 224 ◽  
Author(s):  
A.B. Johannessen ◽  
R. Prasad ◽  
N.B.J. Weyland ◽  
J.H. Bons

1984 ◽  
Vol 75 ◽  
pp. 331-337
Author(s):  
Richard Greenberg

ABSTRACTThe mechanism by which a shepherd satellite exerts a confining torque on a ring is considered from the point of view of a single ring particle. It is still not clear how one might most meaningfully include damping effects and other collisional processes into this type of approach to the problem.


Linguistics ◽  
2020 ◽  
Vol 59 (1) ◽  
pp. 123-174
Author(s):  
Martin Haspelmath

Abstract Argument coding splits such as differential (= split) object marking and split ergative marking have long been known to be universal tendencies, but the generalizations have not been formulated in their full generality before. In particular, ditransitive constructions have rarely been taken into account, and scenario splits have often been treated separately. Here I argue that all these patterns can be understood in terms of the usual association of role rank (highly ranked A and R, low-ranked P and T) and referential prominence (locuphoric person, animacy, definiteness, etc.). At the most general level, the role-reference association universal says that deviations from usual associations of role rank and referential prominence tend to be coded by longer grammatical forms. In other words, A and R tend to be referentially prominent in language use, while P and T are less prominent, and when less usual associations need to be expressed, languages often require special coding by means of additional flags (case-markers and adpositions) or additional verbal voice coding (e.g., inverse or passive markers). I argue that role-reference associations are an instance of the even more general pattern of form-frequency correspondences, and that the resulting coding asymmetries can all be explained by frequency-based predictability and coding efficiency.


2020 ◽  
Vol 10 (7) ◽  
pp. 2346 ◽  
Author(s):  
May Phu Paing ◽  
Kazuhiko Hamamoto ◽  
Supan Tungjitkusolmun ◽  
Sarinporn Visitsattapongse ◽  
Chuchart Pintavirooj

The detection of pulmonary nodules on computed tomography scans provides a clue for the early diagnosis of lung cancer. Manual detection mandates a heavy radiological workload as it identifies nodules slice-by-slice. This paper presents a fully automated nodule detection with three significant contributions. First, an automated seeded region growing is designed to segment the lung regions from the tomography scans. Second, a three-dimensional chain code algorithm is implemented to refine the border of the segmented lungs. Lastly, nodules inside the lungs are detected using an optimized random forest classifier. The experiments for our proposed detection are conducted using 888 scans from a public dataset, and achieves a favorable result of 93.11% accuracy, 94.86% sensitivity, and 91.37% specificity, with only 0.0863 false positives per exam.


2016 ◽  
Vol 20 (3) ◽  
pp. 825-844 ◽  
Author(s):  
Luis A. Martínez ◽  
Ernesto Bribiesca ◽  
Adolfo Guzmán
Keyword(s):  

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