Vom Gegenstand zur Gegenständlichkeit des Sozialen Georg Simmels »Soziologie der Sinne« und das Hören im Zeitalter der technischen Reproduzierbarkeit von Musik

2015 ◽  
Vol 2015 (1-2) ◽  
pp. 107-120
Author(s):  
Uwe C. Steiner
Keyword(s):  
High Fidelity ◽  
Elementary Processes ◽  
The Senses

Simmel’s Sociology explores elementary processes of socialization or collectivization. Thus, the sociology of the senses examines how sight, hearing, feeling, smelling and tasting contributes to constituting societies. Though Simmel observes that modern refined civilization diminishes the depths of the senses but increases its emphasis or enhancement with lust or aversion, the conclusion cannot be avoided that the artifacts and technologies of hearing have to be examined. Accordingly, this article can be regarded as a case study in the wake of Simmel: How do modern aural technologies at the threshold between high fidelity and postfidelity inform contemporary hearing?

Dynamic Data-Driven Spatiotemporal System Behavior Prediction With Simulations and Sensor Measurement Data

2018 ◽  
Author(s):  
Xiangxue Zhao ◽  
Shapour Azarm ◽  
Balakumar Balachandran
Keyword(s):  
Dynamical System ◽  
Real Time ◽  
Measurement Data ◽  
Data Driven ◽  
Sensor Data ◽  
Model Parameters ◽  
High Fidelity ◽  
System Behavior ◽  
Sensor Measurement

Online prediction of dynamical system behavior based on a combination of simulation data and sensor measurement data has numerous applications. Examples include predicting safe flight configurations, forecasting storms and wildfire spread, estimating railway track and pipeline health conditions. In such applications, high-fidelity simulations may be used to accurately predict a system’s dynamical behavior offline (“non-real time”). However, due to the computational expense, these simulations have limited usage for online (“real-time”) prediction of a system’s behavior. To remedy this, one possible approach is to allocate a significant portion of the computational effort to obtain data through offline simulations. The obtained offline data can then be combined with online sensor measurements for online estimation of the system’s behavior with comparable accuracy as the off-line, high-fidelity simulation. The main contribution of this paper is in the construction of a fast data-driven spatiotemporal prediction framework that can be used to estimate general parametric dynamical system behavior. This is achieved through three steps. First, high-order singular value decomposition is applied to map high-dimensional offline simulation datasets into a subspace. Second, Gaussian processes are constructed to approximate model parameters in the subspace. Finally, reduced-order particle filtering is used to assimilate sparsely located sensor data to further improve the prediction. The effectiveness of the proposed approach is demonstrated through a case study. In this case study, aeroelastic response data obtained for an aircraft through simulations is integrated with measurement data obtained from a few sparsely located sensors. Through this case study, the authors show that along with dynamic enhancement of the state estimates, one can also realize a reduction in uncertainty of the estimates.

The Intersections of Creativity, Technology, and the Mind

2020 ◽  
pp. 123-140
Author(s):  
Audri Phillips
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Motion Capture ◽  
Human Mind ◽  
Media Technology ◽  
The Senses ◽  
Creativity Studies ◽  
The Mind ◽  
Immersive Technologies

This chapter examines the relationships between technology, the human mind, and creativity. The chapter cannot possibly cover the whole spectrum of the aforementioned; nonetheless, it covers highlights that especially apply to new immersive technologies. The nature of creativity, creativity studies, the tools, languages, and technology used to promote creativity are discussed. The part that the mind and the senses—particularly vision—play in immersive media technology, as well as robotics, artificial intelligence (AI), computer vision, and motion capture are also discussed. The immersive transmedia project Robot Prayers is offered as a case study of the application of creativity and technology working hand in hand.

Skyline

2017 ◽  
Vol 9 (3) ◽  
pp. 34-53 ◽  
Author(s):  
Ignacio Alvarez ◽  
Laura Rumbel
Keyword(s):  
Research And Development ◽  
Rapid Prototyping ◽  
User Experience ◽  
Development Process ◽  
User Feedback ◽  
High Fidelity ◽  
Use Case ◽  
Software Components ◽  
User Assessment

This paper describes the research and development process of an in-vehicle user experience using Skyline, an automotive prototyping platform created in Intel Labs to empower interaction designers and user experience researches to rapidly and iteratively develop and test in-vehicle user experience concepts. The paper describes the hardware and software components of Skyline in depth and how to configure them to suit individual researcher needs. The paper also presents a case study to exemplify the design making process that Skyline enables. From ideation to use-case creation, prototyping and validation through user assessment, the paper showcases the benefits of capturing early qualitative user feedback as support for rapid prototyping walking through a study titled Agency vs. Control and the associated interactions inside the cockpit. Ten defined use-cases are developed and integrated into a hero scenario in Skyline. High fidelity HMI concepts are tested and validated over the course of six months with feedback from a total of fifty users.

A HLA-Enabling Method in Collaborative Simulation Environment for Complex Product Development

2009 ◽  
Vol 16-19 ◽  
pp. 234-238
Author(s):  
Miao Miao Fan ◽  
Yu Shun Fan
Keyword(s):  
Product Development ◽  
Prototype System ◽  
High Fidelity ◽  
Simulation Environment ◽  
Agent Model ◽  
Complex Product ◽  
Collaborative Simulation ◽  
Forging Manipulator ◽  
Abaqus Software

HLA-based collaborative simulation is an effective way to integrate different disciplinary models together for the design and development of complex product. In this paper, the HLA-enabling method based on HLA agent model is proposed to make models created through commercial software compatible with HLA standard. Next, a prototype system for forging manipulator system based on such HLA-enabling method is developed accordingly, where an approach of developing ABAQUS engine agent is proposed, which solves the difficulty of wrapping ABAQUS software. Finally, a case study on forging and manipulating process is conducted and verifies the high fidelity and effectiveness of our collaborative simulation technology.

The Role of Model Fidelity in Model Predictive Control Based Hazard Avoidance in Unmanned Ground Vehicles Using LIDAR Sensors

2013 ◽  
Author(s):  
Jiechao Liu ◽  
Paramsothy Jayakumar ◽  
James L. Overholt ◽  
Jeffrey L. Stein ◽  
Tulga Ersal
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Vehicle Dynamics ◽  
High Fidelity ◽  
Unmanned Ground Vehicles ◽  
Ground Vehicles ◽  
Model Fidelity ◽  
Hazard Avoidance ◽  
The Impact

Unmanned ground vehicles (UGVs) are gaining importance and finding increased utility in both military and commercial applications. Although earlier UGV platforms were typically exclusively small ground robots, recent efforts started targeting passenger vehicle and larger size platforms. Due to their size and speed, these platforms have significantly different dynamics than small robots, and therefore the existing hazard avoidance algorithms, which were developed for small robots, may not deliver the desired performance. The goal of this paper is to present the first steps towards a model predictive control (MPC) based hazard avoidance algorithm for large UGVs that accounts for the vehicle dynamics through high fidelity models and uses only local information about the environment as provided by the onboard sensors. Specifically, the paper presents the MPC formulation for hazard avoidance using a light detection and ranging (LIDAR) sensor and applies it to a case study to investigate the impact of model fidelity on the performance of the algorithm, where performance is measured mainly by the time to reach the target point. Towards this end, the case study compares a 2 degrees-of-freedom (DoF) vehicle dynamics representation to a 14 DoF representation as the model used in MPC. The results show that the 2 DoF model can perform comparable to the 14 DoF model if the safe steering range is established using the 14 DoF model rather than the 2 DoF model itself. The conclusion is that high fidelity models are needed to push autonomous vehicles to their limits to increase their performance, but simulating the high fidelity models online within the MPC may not be as critical as using them to establish the safe control input limits.

A case study of high fidelity depth imaging reprocessing targeting carbonate caves reservoir

2018 ◽  
Author(s):  
Meng Chen ◽  
Duoming Zheng ◽  
Guohui Li ◽  
Nianming Guo ◽  
Peng Wang ◽  
...  
Keyword(s):  
High Fidelity ◽  
Depth Imaging

High-Fidelity Simulation Versus Case Study

2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Sue Hudson ◽  
Melissa R. Penkalski
Keyword(s):  
High Fidelity ◽  
High Fidelity Simulation
Sign in / Sign up

Export Citation Format

Share Document