ISSv2 and OpenISS distributed system for real-time interaction for performing arts

Author(s):  
Serguei A. Mokhov ◽  
Deschanel Li ◽  
Haotao Lai ◽  
Jashanjot Singh ◽  
Yiran Shen ◽  
...  
2021 ◽  
Vol 11 (11) ◽  
pp. 5067
Author(s):  
Paulo Veloso Gomes ◽  
António Marques ◽  
João Donga ◽  
Catarina Sá ◽  
António Correia ◽  
...  

The interactivity of an immersive environment comes up from the relationship that is established between the user and the system. This relationship results in a set of data exchanges between human and technological actors. The real-time biofeedback devices allow to collect in real time the biodata generated by the user during the exhibition. The analysis, processing and conversion of these biodata into multimodal data allows to relate the stimuli with the emotions they trigger. This work describes an adaptive model for biofeedback data flows management used in the design of interactive immersive systems. The use of an affective algorithm allows to identify the types of emotions felt by the user and the respective intensities. The mapping between stimuli and emotions creates a set of biodata that can be used as elements of interaction that will readjust the stimuli generated by the system. The real-time interaction generated by the evolution of the user’s emotional state and the stimuli generated by the system allows him to adapt attitudes and behaviors to the situations he faces.


2021 ◽  
Vol 40 (2) ◽  
pp. 65-69
Author(s):  
Richard Wai

Modern day cloud native applications have become broadly representative of distributed systems in the wild. However, unlike traditional distributed system models with conceptually static designs, cloud-native systems emphasize dynamic scaling and on-line iteration (CI/CD). Cloud-native systems tend to be architected around a networked collection of distinct programs ("microservices") that can be added, removed, and updated in real-time. Typically, distinct containerized programs constitute individual microservices that then communicate among the larger distributed application through heavy-weight protocols. Common communication stacks exchange JSON or XML objects over HTTP, via TCP/TLS, and incur significant overhead, particularly when using small size message sizes. Additionally, interpreted/JIT/VM-based languages such as Javascript (NodeJS/Deno), Java, and Python are dominant in modern microservice programs. These language technologies, along with the high-overhead messaging, can impose superlinear cost increases (hardware demands) on scale-out, particularly towards hyperscale and/or with latency-sensitive workloads.


2019 ◽  
Vol 29 (5) ◽  
pp. 676-696 ◽  
Author(s):  
Sabrina Golonka ◽  
Andrew D. Wilson

In 2010, Bechtel and Abrahamsen defined and described what it means to be a dynamic causal mechanistic explanatory model. They discussed the development of a mechanistic explanation of circadian rhythms as an exemplar of the process and challenged cognitive science to follow this example. This article takes on that challenge. A mechanistic model is one that accurately represents the real parts and operations of the mechanism being studied. These real components must be identified by an empirical programme that decomposes the system at the correct scale and localises the components in space and time. Psychological behaviour emerges from the nature of our real-time interaction with our environments—here we show that the correct scale to guide decomposition is picked out by the ecological perceptual information that enables that interaction. As proof of concept, we show that a simple model of coordinated rhythmic movement, grounded in information, is a genuine dynamical mechanistic explanation of many key coordination phenomena.


Author(s):  
Xerxes D. Arsiwalla ◽  
Riccardo Zucca ◽  
Alberto Betella ◽  
Enrique Martinez ◽  
David Dalmazzo ◽  
...  

2019 ◽  
Author(s):  
reine yolite

Nowadays most people remain connected via social media networks. This is a highly lucrative and expansive market for social enterprises to penetrate and evaluate the buying patterns of customers so that they can provide customized user experiences. Digital transformation provides countless advantages and options, including improved inventory management, detailed insights, enhanced real-time customer interaction, higher productivity, reliable forecasting, dependable business decisions, improved resourced allocation, and real time interaction with customers. This sort of technology and innovation, when coupled with digital business, lends support to the digital transformation of a company, providing it with the requisite degree of competitive advantage. Digital transformation helps businesses meet the demands of the changing digital economy. Also with the help of digital transformation, companies are finally able to go paperless. So with lots of this social enterprises in Asia that use or participant in digital transformation it can help them to meet customer expectation soon, and digital transformation is cost effective when social enterprises profits, the community or the society profits.


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