Some Properties for Exact Generalized Processes

2015 ◽  
pp. 209-219 ◽  
Author(s):  
Jacson Simsen ◽  
Érika Capelato
Keyword(s):  
Generalized Processes

Associations Between Personality (Dys)Function and General Behavioral Dysregulation

2021 ◽  
Author(s):  
Whitney R. Ringwald ◽  
Michael Hallquist ◽  
Alexandre Dombrovski ◽  
Aidan G.C. Wright
Keyword(s):  
Dynamic Environment ◽  
Personality Pathology ◽  
General Factor ◽  
Assessment Protocol ◽  
Personality Functioning ◽  
Two Samples ◽  
Human Functioning ◽  
Control Stability ◽  
Generalized Processes ◽  
Insight Into

Maintaining psychological equilibrium within a dynamic environment is thought to be the core of human functioning. Systems-based theories of personality hypothesize that generalized processes control stability by regulating how strongly a person reacts to various situations. Research shows there are higher-order traits of general personality function (Stability) and dysfunction (general personality pathology; GPP), but whether or not they capture individual differences in reactivity is largely theoretical. We tested this hypothesis by examining how general personality functioning manifests in everyday life in two samples (Ns=205; 342 participants and 24,920; 17,761 observations) that completed an ambulatory assessment protocol. Consistent with systems-based theories, we found (1) there is a general factor reflecting reactivity across major domains of functioning, and (2) reactivity is strongly associated with Stability and GPP. Results provide insight into how people fundamentally adapt (or not) to their environments, and lays the foundation for more practical, empirical models of human functioning.

Automatic Process Learning to Restore Omitted 2D Drawings

2009 ◽  
Vol 407-408 ◽  
pp. 216-219
Author(s):  
Masaji Tanaka ◽  
Toshiaki Kaneeda ◽  
Ryosuke Yokoi ◽  
Machiko Fujiwara
Keyword(s):  
Solid Modeling ◽  
Automatic Process ◽  
Small Companies ◽  
Cad Systems ◽  
Process Learning ◽  
Actual Design ◽  
Generalized Processes

Though solid modeling becomes essential to research present CAD systems, a great many small companies still use 2D CAD systems. So, automatic conversion systems between them have been desired for many years. Most of proposed methods could apply to only correct 2D drawings in geometry. However, simplified drawings are usually used in actual design. In our method, the relationships of lines in 2D drawings could be acquired as properties. So, when a user operates broken lines to make correct lines, the processes of operations can be learned and generalized by using the properties, and generalized processes can be applied to new broken lines of 2D drawings.

scholarly journals Trajectory and global attractors for generalized processes

2019 ◽  
Vol 24 (8) ◽  
pp. 3995-4020
Author(s):  
Rodrigo Samprogna ◽  
◽  
Cláudia B. Gentile Moussa ◽  
Tomás Caraballo ◽  
Karina Schiabel ◽  
...  
Keyword(s):  
Global Attractors ◽  
Generalized Processes

scholarly journals Stability in generalized processes

1985 ◽  
Vol 46 (1) ◽  
pp. 243-263
Author(s):  
Andrzej Pelczar ◽  
Andrzej Trzepizur
Keyword(s):  
Generalized Processes

The intrinsic random functions and their applications

1973 ◽  
Vol 5 (03) ◽  
pp. 439-468 ◽  
Author(s):  
G. Matheron
Keyword(s):  
Statistical Inference ◽  
Realization Theory ◽  
Practical Applications ◽  
Random Functions ◽  
Stationary Increments ◽  
Turning Bands ◽  
Generalized Covariance ◽  
Intrinsic Random Functions ◽  
Generalized Processes ◽  
Unique Realization

The intrinsic random functions (IRF) are a particular case of the Guelfand generalized processes with stationary increments. They constitute a much wider class than the stationary RF, and are used in practical applications for representing non-stationary phenomena. The most important topics are: existence of a generalized covariance (GC) for which statistical inference is possible from a unique realization; theory of the best linear intrinsic estimator (BLIE) used for contouring and estimating problems; the turning bands method for simulating IRF; and the models with polynomial GC, for which statistical inference may be performed by automatic procedures.

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