Trust Strategies in Consumer Multiple-Component Systems

2018 ◽  
Vol 62 (1) ◽  
pp. 1756-1760
Author(s):  
Jeremy Lopez ◽  
Richard Pak
Keyword(s):  
Control Systems ◽  
Smart Home ◽  
Critical Factor ◽  
Amount Of Information ◽  
Machine Performance ◽  
Component Systems ◽  
Multiple Component ◽  
Types Of Information ◽  
User Trust ◽  
Autonomous Elements

Trust is a critical factor in successful and productive human-automation interactions. Human trust in machines is sensitive to machine performance. When automation malfunctions, trust is negatively affected. The development of increasingly complex multiple-component systems, or those with several autonomous elements, introduces even more ways for a system to err. One example is in smart home control systems where different subsystems may be controlled by different autonomous routines or rules. Multiple studies suggest that one error-prone component can lower user trust in the remaining components. This has been termed a “pull down effect.” Other research suggests that increasing the amount of information presented to the user can reduce the strength of the pull down effect by promoting heterogeneity of components. Although a majority of this research has been tested in the industrial domain, there exist certain types of information that are best suited for consumer automation (e.g., granting the automation a name and a voice). Providing this kind of information to the user may diminish the strength of the pull down effect. Thus, the current study will investigate the effectiveness of trust-preserving heterogeneity strategies in consumer multiple-component systems.

Investigations of multiple component systems by means of optical trapping and Raman spectroscopy

1995 ◽  
Vol 348 ◽  
pp. 265-268 ◽  
Author(s):  
M. Lankers ◽  
J. Popp ◽  
E. Urlaub ◽  
H. Stahl ◽  
G. Rößling ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Optical Trapping ◽  
Component Systems ◽  
Multiple Component

Machine learning in smart home control systems - Algorithms and new opportunities

2017 ◽  
Author(s):  
Ivan A. Berg ◽  
Oleg E. Khorev ◽  
Arina I. Matvevnina ◽  
Alexey V. Prisjazhnyj
Keyword(s):  
Machine Learning ◽  
Control Systems ◽  
Smart Home

scholarly journals A Time-Varying Information Measure for Tracking Dynamics of Neural Codes in a Neural Ensemble

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 880
Author(s):  
Mohammad R. Rezaei ◽  
Milos R. Popovic ◽  
Milad Lankarany
Keyword(s):  
Kalman Filtering ◽  
Probability Distributions ◽  
Neural Code ◽  
Time Varying ◽  
Amount Of Information ◽  
Neural Ensemble ◽  
Different Types ◽  
Types Of Information ◽  
Different Time Scales ◽  
Filtering Approach

The amount of information that differentially correlated spikes in a neural ensemble carry is not the same; the information of different types of spikes is associated with different features of the stimulus. By calculating a neural ensemble’s information in response to a mixed stimulus comprising slow and fast signals, we show that the entropy of synchronous and asynchronous spikes are different, and their probability distributions are distinctively separable. We further show that these spikes carry a different amount of information. We propose a time-varying entropy (TVE) measure to track the dynamics of a neural code in an ensemble of neurons at each time bin. By applying the TVE to a multiplexed code, we show that synchronous and asynchronous spikes carry information in different time scales. Finally, a decoder based on the Kalman filtering approach is developed to reconstruct the stimulus from the spikes. We demonstrate that slow and fast features of the stimulus can be entirely reconstructed when this decoder is applied to asynchronous and synchronous spikes, respectively. The significance of this work is that the TVE can identify different types of information (for example, corresponding to synchronous and asynchronous spikes) that might simultaneously exist in a neural code.

The Research of Smart Home Control Systems Based on Voice Activated Technology

2014 ◽  
Vol 912-914 ◽  
pp. 1477-1480
Author(s):  
Ting Ting Yu ◽  
Sen Lin Jiang
Keyword(s):  
Control Systems ◽  
Smart Home ◽  
The Voice

This paper first describes the defects of operation terminal in smart home, Then the feasibility that voice activated technology is applied in the operation terminal of smart home is proposed,and the lack that voice activated technology is applied in the operation terminal of smart home is researched, Finally, a method is proposed to improve the voice activated technologyapplied in smart home.

scholarly journals Adsorption of Selected Pharmaceutical Compounds onto Activated Carbon in Dilute Aqueous Solutions Exemplified by Acetaminophen, Diclofenac, and Sulfamethoxazole

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
E.-E. Chang ◽  
Jan-Chi Wan ◽  
Hyunook Kim ◽  
Chung-Huei Liang ◽  
Yung-Dun Dai ◽  
...  
Keyword(s):  
Activated Carbon ◽  
Effective Diffusion ◽  
Molecular Size ◽  
Adsorption Affinity ◽  
Water Partition Coefficient ◽  
Component Systems ◽  
Dilute Aqueous Solutions ◽  
Multiple Component ◽  
The One ◽  
Selection Of

The adsorption of three pharmaceuticals, namely, acetaminophen, diclofenac, and sulfamethoxazole onto granular activated carbon (GAC), was investigated. To study competitive adsorption, both dynamic and steady-state adsorption experiments were conducted by careful selection of pharmaceuticals with various affinities and molecular size. The effective diffusion coefficient of the adsorbate was increased with decease in particle size of GAC. The adsorption affinity represented as Langmuir was consistent with the ranking of the octanol-water partition coefficient,Kow. The adsorption behavior in binary or tertiary systems could be described by competition adsorption. In the binary system adsorption replacement occurred, under which the adsorbate with the smallerKowwas replaced by the one with largerKow. Results also indicated that portion of the micropores could be occupied only by the small target compound, but not the larger adsorbates. In multiple-component systems the competition adsorption might significantly be affected by the macropores and less by the meso- or micropores.

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