scholarly journals Day-long mobile audio recordings reveal multi-timescale dynamics in infant vocal productions and auditory experiences

2021 ◽  
Author(s):  
Anne S. Warlaumont ◽  
Kunmi Sobowale ◽  
Caitlin M. Fausey
Keyword(s):  
Complex Systems ◽  
Human Communication ◽  
Multiple Timescales ◽  
Communication Development ◽  
Multi Scale ◽  
Systems Perspective ◽  
Everyday Lives ◽  
Audio Recordings ◽  
Vocal Productions ◽  
Over Time

The sounds of human infancy—baby babbling, adult talking, lullaby singing, and more—fluctuate over time. Infant-friendly wearable audio recorders can now capture very large quantities of these sounds throughout infants’ everyday lives at home. Here, we review recent discoveries about how infants’ soundscapes are organized over the course of a day based on analyses designed to detect patterns at multiple timescales. Analyses of infants’ day-long audio have revealed that everyday vocalizations are clustered hierarchically in time, vocal explorations are consistent with foraging dynamics, and musical tunes are distributed such that some are much more available than others. This approach focusing on the multi-scale distributions of sounds heard and produced by infants provides new, fundamental insights on human communication development from a complex systems perspective.

Daylong Mobile Audio Recordings Reveal Multitimescale Dynamics in Infants’ Vocal Productions and Auditory Experiences

2021 ◽  
pp. 096372142110581
Author(s):  
Anne S. Warlaumont ◽  
Kunmi Sobowale ◽  
Caitlin M. Fausey
Keyword(s):  
Complex Systems ◽  
Human Communication ◽  
Multiple Timescales ◽  
Communication Development ◽  
Systems Perspective ◽  
Everyday Lives ◽  
Audio Recordings ◽  
Vocal Productions ◽  
Over Time ◽  
At Home

The sounds of human infancy—baby babbling, adult talking, lullaby singing, and more—fluctuate over time. Infant-friendly wearable audio recorders can now capture very large quantities of these sounds throughout infants’ everyday lives at home. Here, we review recent discoveries about how infants’ soundscapes are organized over the course of a day. Analyses designed to detect patterns in infants’ daylong audio at multiple timescales have revealed that everyday vocalizations are clustered hierarchically in time, that vocal explorations are consistent with foraging dynamics, and that some musical tunes occur for much longer cumulative durations than others. This approach focusing on the multiscale distributions of sounds heard and produced by infants is providing new, fundamental insights on human communication development from a complex-systems perspective.

scholarly journals A complex systems perspective on computer-supported collaborative design technology

2002 ◽  
Vol 45 (11) ◽  
pp. 27-31 ◽  
Author(s):  
Mark Klein ◽  
Hiroki Sayama ◽  
Peyman Faratin ◽  
Yaneer Bar-Yam
Keyword(s):  
Complex Systems ◽  
Collaborative Design ◽  
Design Technology ◽  
Systems Perspective

scholarly journals Stability of democracies: a complex systems perspective

2018 ◽  
Vol 40 (1) ◽  
pp. 014002 ◽  
Author(s):  
K Wiesner ◽  
A Birdi ◽  
T Eliassi-Rad ◽  
H Farrell ◽  
D Garcia ◽  
...  
Keyword(s):  
Complex Systems ◽  
Systems Perspective

Analysis of Students’ Conceptions of Basic Magnetism from a Complex Systems Perspective

2018 ◽  
Vol 50 (2) ◽  
pp. 375-392
Author(s):  
Miriam Lemmer ◽  
Jeanne Kriek ◽  
Benita Erasmus
Keyword(s):  
Complex Systems ◽  
Systems Perspective

Toward a Deeper Understanding of Personnel Anomaly Detection

2011 ◽  
pp. 206-215
Author(s):  
Shuyuan Mary Ho
Keyword(s):  
Anomaly Detection ◽  
Behavioral Outcomes ◽  
Sensitive Information ◽  
Potential Threat ◽  
Insider Threats ◽  
Internal Resources ◽  
Corporate Security ◽  
Systems Perspective ◽  
Individual Privacy ◽  
Over Time

Recent threats to prominent organizations have greatly increased social awareness of the need for information security. Many measures have been designed and developed to guard against threats from outsider attacks. Technologies are commonly implemented to actively prohibit unauthorized connection and/or limit access to corporate internal resources; however, threats from insiders are even more subtle and complex. Personnel whom are inherently trusted have valuable internal corporate knowledge that could impact profits or organizational integrity. They are often a source of potential threat within the corporation, through leaking or damaging confidential and sensitive information—whether intentionally or unintentionally. Identifying and detecting anomalous personnel behavior and potential threats are concomitantly important. It can be done by observation and evaluation of communicated intentions and behavioral outcomes of the employee over time. While human observations are subject to fallibility and systems statistics are subject to false positives, personnel anomaly detection correlates observations on the change of personnel trustworthiness to provide for both corporate security and individual privacy. In this paper, insider threats are identified as one of the significant problems to corporate security. Some insightful discussions of personnel anomaly detection are provided, from both a social and a systems perspective.

Analytical multi-scale method for multi-phase complex systems in process engineering—Bridging reductionism and holism

2007 ◽  
Vol 62 (13) ◽  
pp. 3346-3377 ◽  
Author(s):  
Wei Ge ◽  
Feiguo Chen ◽  
Jian Gao ◽  
Shiqiu Gao ◽  
Jin Huang ◽  
...  
Keyword(s):  
Complex Systems ◽  
Process Engineering ◽  
Multi Scale ◽  
Scale Method ◽  
Phase Complex ◽  
Multi Phase

Data-driven state detection algorithm for multi-scale systems and its application

2013 ◽  
Vol 228 (7) ◽  
pp. 1223-1234 ◽  
Author(s):  
Zeng Deliang ◽  
Liu Jiwei ◽  
Liu Jizhen
Keyword(s):  
Failure Rate ◽  
Detection Algorithm ◽  
Data Driven ◽  
Simulation Experiments ◽  
Multi Scale ◽  
State Detection ◽  
Security And Reliability ◽  
Roller Ring ◽  
Technical Basis ◽  
Over Time

To improve the security and reliability of equipment and reduce their failure rate, a data-driven state detection algorithm was proposed. The concepts of multi-scale system, multi-scale entropy and multi-scale exergy were defined. The algorithm is used for multi-scale systems whose state parameters change over time and have the characteristic of increasing monotonically on a dominant scale. An abrasion index for the middle speed roller ring mill was constructed, which was used to monitor the states of the instruments. Noise that affected the accuracy of the results was analyzed. The results of simulation experiments demonstrate the effectiveness of the algorithm, which can provide a technical basis for condition maintenance.

Sign in / Sign up

Export Citation Format

Share Document