A Reply Cache Mechanism to Reduce Query Latency of WSN in IoT Sensory Environment

2016 ◽  
Author(s):  
Yeduri Sreenivasa Reddy ◽  
K. K. Pattanaik
Keyword(s):  
Sensory Environment ◽  
Cache Mechanism ◽  
Query Latency

Participation and Sensory Environment Questionnaire: Community Scales

2019 ◽  
Author(s):  
Beth Pfeiffer ◽  
Aimee Piller ◽  
Katherine Bevans ◽  
Chengshi Shiu
Keyword(s):  
Sensory Environment

Cooperative Mechanism of Local Memory and Cache in Network Processors

2013 ◽  
Vol 380-384 ◽  
pp. 1969-1972
Author(s):  
Bo Yuan ◽  
Jin Dou Fan ◽  
Bin Liu
Keyword(s):  
Packet Processing ◽  
Network Processors ◽  
Local Memory ◽  
Memory Space ◽  
Memory Mechanism ◽  
Hierarchical Memory ◽  
Packet Data ◽  
On Chip ◽  
Cache Mechanism ◽  
Cache Miss

Traditional network processors (NPs) adopt either local memory mechanism or cache mechanism as the hierarchical memory structure. The local memory mechanism usually has small on-chip memory space which is not fit for the various complicated applications. The cache mechanism is better at dealing with the temporary data which need to be read and written frequently. But in deep packet processing, cache miss occurs when reading each segment of packet. We propose a cooperative mechanism of local memory and cache. In which the packet data and temporary data are stored into local memory and cache respectively. The analysis and experimental evaluation shows that the cooperative mechanism can improve the performance of network processors and reduce processing latency with little extra resources cost.

scholarly journals Explora: Interactive Querying of Multidimensional Data in the Context of Smart Cities

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2737
Author(s):  
Leandro Ordonez-Ante ◽  
Gregory Van Seghbroeck ◽  
Tim Wauters ◽  
Bruno Volckaert ◽  
Filip De Turck
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Temporal Trends ◽  
Multidimensional Data ◽  
Data Sets ◽  
Distributed Data ◽  
Key Factors ◽  
Distributed Data Processing ◽  
Spatial And Temporal Trends ◽  
Query Latency

Citizen engagement is one of the key factors for smart city initiatives to remain sustainable over time. This in turn entails providing citizens and other relevant stakeholders with the latest data and tools that enable them to derive insights that add value to their day-to-day life. The massive volume of data being constantly produced in these smart city environments makes satisfying this requirement particularly challenging. This paper introduces Explora, a generic framework for serving interactive low-latency requests, typical of visual exploratory applications on spatiotemporal data, which leverages the stream processing for deriving—on ingestion time—synopsis data structures that concisely capture the spatial and temporal trends and dynamics of the sensed variables and serve as compacted data sets to provide fast (approximate) answers to visual queries on smart city data. The experimental evaluation conducted on proof-of-concept implementations of Explora, based on traditional database and distributed data processing setups, accounts for a decrease of up to 2 orders of magnitude in query latency compared to queries running on the base raw data at the expense of less than 10% query accuracy and 30% data footprint. The implementation of the framework on real smart city data along with the obtained experimental results prove the feasibility of the proposed approach.

Robotic location of underground chemical sources

Robotica ◽  
2004 ◽  
Vol 22 (1) ◽  
pp. 109-115 ◽  
Author(s):  
R. Andrew Russell
Keyword(s):  
Robot Manipulator ◽  
Search Algorithm ◽  
Chemical Vapour ◽  
Coarse Sand ◽  
Land Mines ◽  
Factors Affecting ◽  
Sensory Environment ◽  
Manipulator Arm ◽  
Unexploded Ordinance ◽  
Sensor Probe

This paper describes current progress in a project to develop robotic systems for locating underground chemical sources. There are a number of economic and humanitarian applications for this technology. Finding unexploded ordinance, land mines, and sources of leaks from pipes and tanks are some examples. Initial experiments were conducted using an ethanol chemical source buried in coarse sand. To gain an understanding of the sensory environment that would be experienced by a robot burrowing through the ground, the factors affecting transport of chemical vapour through soil were investigated. A robot search algorithrn was then developed for gathering chemical gradient inforrnation and using this to guide a robot towards the source. Experiments were performed using a chemical sensing probe positioned by a UMI RTX robot manipulator arm. The resulting system was successful in locating a source of ethanol vapour buried in sand. This paper includes details of experiments to characterise the sand used in this project, the robot search algorithm, sensor probe and results of source location trials.

scholarly journals Sensing the (media) city

2021 ◽  
Vol 8 (1) ◽  
pp. 135-144
Author(s):  
Anna Notaro
Keyword(s):  
Social Engagement ◽  
Human Heart ◽  
Emotional Responses ◽  
Urban Spaces ◽  
Research Association ◽  
Interactive Art ◽  
Sensory Environment ◽  
The Media ◽  
Radical Construction ◽  
The City

This article, originally delivered at the 16th international conference of the Architectural Humanities Research Association (University of Dundee, November 2019), seeks to engage with the ‘emotive’, ‘sensorial’ and ‘affective turn’, as defined by authors in the humanities, social and cultural studies in order to consider the emotional responses to the mediated experiences of place and to inquire into how individuals and collectives react to a changing sensory environment. It adopts a multi-disciplinary approach that blends historical, cultural and mediated dimensions of urban spaces and places while maintaining a focus on the kind of locative/interactive art which is less concerned with representation and more with radical construction, social engagement and communication. The purpose is to try and provide an answer to the question: what does ‘sensing the city’ exactly entail when the city’s form, as Baudelaire memorably put it, ‘changes faster than the human heart?’

scholarly journals Unsupervised Learning via Total Correlation Explanation

2017 ◽  
Author(s):  
Greg Ver Steeg
Keyword(s):  
Mutual Information ◽  
Unsupervised Learning ◽  
Supervised Learning ◽  
Human Behavior ◽  
Learning Problems ◽  
Information Theoretic ◽  
Sensory Environment ◽  
Total Correlation ◽  
Environment Dependence ◽  
Multivariate Mutual Information

Learning by children and animals occurs effortlessly and largely without obvious supervision. Successes in automating supervised learning have not translated to the more ambiguous realm of unsupervised learning where goals and labels are not provided. Barlow (1961) suggested that the signal that brains leverage for unsupervised learning is dependence, or redundancy, in the sensory environment. Dependence can be characterized using the information-theoretic multivariate mutual information measure called total correlation. The principle of Total Cor-relation Ex-planation (CorEx) is to learn representations of data that "explain" as much dependence in the data as possible. We review some manifestations of this principle along with successes in unsupervised learning problems across diverse domains including human behavior, biology, and language.

Early Experience Determines How the Senses Will Interact

2007 ◽  
Vol 97 (1) ◽  
pp. 921-926 ◽  
Author(s):  
Mark T. Wallace ◽  
Barry E. Stein
Keyword(s):  
Superior Colliculus ◽  
Multisensory Integration ◽  
A Priori ◽  
Spatial Relationship ◽  
Early Experience ◽  
Auditory Stimuli ◽  
Anomalous Form ◽  
Sensory Environment ◽  
External Events ◽  
The Brain

Multisensory integration refers to the process by which the brain synthesizes information from different senses to enhance sensitivity to external events. In the present experiments, animals were reared in an altered sensory environment in which visual and auditory stimuli were temporally coupled but originated from different locations. Neurons in the superior colliculus developed a seemingly anomalous form of multisensory integration in which spatially disparate visual-auditory stimuli were integrated in the same way that neurons in normally reared animals integrated visual-auditory stimuli from the same location. The data suggest that the principles governing multisensory integration are highly plastic and that there is no a priori spatial relationship between stimuli from different senses that is required for their integration. Rather, these principles appear to be established early in life based on the specific features of an animal's environment to best adapt it to deal with that environment later in life.

scholarly journals Fast reconfiguration of high-frequency brain networks in response to surprising changes in auditory input

2012 ◽  
Vol 107 (5) ◽  
pp. 1421-1430 ◽  
Author(s):  
Ruth M. Nicol ◽  
Sandra C. Chapman ◽  
Petra E. Vértes ◽  
Pradeep J. Nathan ◽  
Marie L. Smith ◽  
...  
Keyword(s):  
High Frequency ◽  
Brain Networks ◽  
Small World ◽  
Brain Network ◽  
Auditory Presentation ◽  
Long Distance ◽  
Sensory Environment ◽  
Response Network ◽  
Rapid Changes ◽  
Measure Synchronization

How do human brain networks react to dynamic changes in the sensory environment? We measured rapid changes in brain network organization in response to brief, discrete, salient auditory stimuli. We estimated network topology and distance parameters in the immediate central response period, <1 s following auditory presentation of standard tones interspersed with occasional deviant tones in a mismatch-negativity (MMN) paradigm, using magnetoencephalography (MEG) to measure synchronization of high-frequency (gamma band; 33–64 Hz) oscillations in healthy volunteers. We found that global small-world parameters of the networks were conserved between the standard and deviant stimuli. However, surprising or unexpected auditory changes were associated with local changes in clustering of connections between temporal and frontal cortical areas and with increased interlobar, long-distance synchronization during the 120- to 250-ms epoch (coinciding with the MMN-evoked response). Network analysis of human MEG data can resolve fast local topological reconfiguration and more long-range synchronization of high-frequency networks as a systems-level representation of the brain's immediate response to salient stimuli in the dynamically changing sensory environment.

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