Posters
Parent: Center for Embedded Network Sensing
eScholarship stats: History by Item for July through October, 2024
| Item | Title | Total requests | 2024-10 | 2024-09 | 2024-08 | 2024-07 |
|---|---|---|---|---|---|---|
| 7q60k5d3 | Em View: The Em* Visualizer | 73 | 25 | 16 | 22 | 10 |
| 2wx27188 | EmTOS: A Development Tool for Heterogeneous Sensor Networks | 70 | 15 | 6 | 31 | 18 |
| 8wb4118r | EDU 0: Education Overview | 64 | 16 | 10 | 17 | 21 |
| 01w4350s | SNUSE Sensor Networks for Undersea Seismic Experimentation | 54 | 16 | 5 | 16 | 17 |
| 8qn830cq | Supporting Ecological Research With a Flexible Satellite Sensornet Gateway | 53 | 6 | 2 | 28 | 17 |
| 8sv2t5xc | An Overview of Multiscale Actuation and Sensing | 51 | 6 | 2 | 29 | 14 |
| 5dk8r03w | Subduction Zone Seismic Experiment in Peru: Results From a Wireless Seismic Network | 50 | 9 | 12 | 8 | 21 |
| 6s15h4k8 | Reliable Actuation for Networked Infomechanical Systems | 46 | 6 | 3 | 25 | 12 |
| 3f74t94h | Experimental Study of the Effects of Tx Power Control and Blacklisting in Wireless Sensor Networks | 45 | 11 | 7 | 23 | 4 |
| 4rt7r810 | Ecological Sensing in a Southern California Forest: Integrating Environmental Abiotic and Biotic Measurements to Understand Ecosystem Function. | 45 | 5 | 24 | 16 | |
| 92w6g3md | Deriving State Machines from TinyOS programs using Symbolic Execution | 45 | 18 | 14 | 13 | |
| 1z41c7s7 | New Wireless Miniature Sensor Technologies for CENS | 44 | 9 | 6 | 13 | 16 |
| 8kf9p679 | SYS0: Systems Area Research Overview | 43 | 7 | 2 | 24 | 10 |
| 4919w4vh | Exploiting Social Networks for Sensor Data Sharing with SenseShare | 42 | 10 | 4 | 15 | 13 |
| 5v80v4t3 | Networked Infomechanical Systems (NIMS) | 41 | 5 | 24 | 12 | |
| 60h3h1h4 | Entropy Based Sensor Selection Heuristic for Localization | 41 | 5 | 2 | 22 | 12 |
| 7g7940x9 | Mote Herding for Tiered Wireless Sensor Networks | 41 | 8 | 1 | 21 | 11 |
| 9mj6b80x | An Overview of CENS Contaminant Transport Observation and Management Research | 41 | 6 | 1 | 21 | 13 |
| 0491d78j | Visual Localization and Mapping with Multiple View Features | 40 | 6 | 3 | 16 | 15 |
| 6bb984md | Urban Sensing or Personal and Participatory Sensing | 40 | 8 | 1 | 19 | 12 |
| 0cn3s5k9 | Imagers as Sensors: Correlating Plant CO2 Uptake with Digital Visible-Light Imagery | 39 | 6 | 2 | 14 | 17 |
| 2sm2502f | Stargate: Energy Management Techniques | 39 | 6 | 6 | 17 | 10 |
| 7fp998hk | KNO 1: Facilitating the Adoption of Embedded Networked Sensing by Emerging National Environmental Observatories | 39 | 8 | 20 | 11 | |
| 0fs253z6 | Statistical Methods for Recovering 3D Models of Trees from Sensor Data | 37 | 5 | 18 | 14 | |
| 2vh5g17p | Networked Aquatic Microbial Observing Systems: An Overview | 37 | 5 | 2 | 15 | 15 |
| 8jp308rg | Toward Resource Efficient Homes: From Measurements to Sustainable Choices | 37 | 4 | 2 | 16 | 15 |
| 4z9444hm | Task Allocation for Event-Aware Spatiotemporal Sampling of Environmental Variables | 36 | 4 | 16 | 16 | |
| 1rb4285n | Sensor Network Data Fault Types | 35 | 9 | 12 | 4 | 10 |
| 33t7h0ks | Development and Environmental Applications of a Nitrate Microsensor Based on Doped Polypyrrole Films | 35 | 5 | 17 | 13 | |
| 7kb1r614 | Progress in Detection and Identification of Marine Microorganisms | 35 | 10 | 3 | 16 | 6 |
| 7sh4975w | CENSDC: Adding Context to Content | 35 | 6 | 2 | 16 | 11 |
| 4d1002mx | Evaluation of Imagers in a Biological Sensing Deployment | 34 | 4 | 4 | 14 | 12 |
| 35z15398 | Visualizing microbial pollution in Santa Monica Bay with Geographic Information Systems (GIS) and through field-testing a rapid, robust, field-portable water detection sensing system | 33 | 3 | 1 | 14 | 15 |
| 38d713q8 | The Sierra Nevada-San Joaquin Hydrologic Observatory (SNSJHO): a WATERS network test bed | 33 | 5 | 1 | 13 | 14 |
| 3kq258gc | A Framework for Data Quality and Feedback in Participatory Sensing | 33 | 7 | 1 | 16 | 9 |
| 7td3g73w | Micro- and Mini-nitrate Sensors for Monitoring of Soils, Groundwater and Aquatic Systems | 33 | 9 | 4 | 7 | 13 |
| 9fh6p3ws | Investigations of Fine-scale Diel Migration of Phytoplankton Populations in King Harbor, Redondo Beach | 33 | 8 | 1 | 18 | 6 |
| 32j8v1bm | Campaignr: a participatory sensing software architecture for cellphones | 32 | 12 | 5 | 15 | |
| 5rb3s6z1 | Imagers as Biological Sensors | 32 | 8 | 1 | 11 | 12 |
| 5t09j13j | Personal Data Vault: A Privacy Architecture for Mobile Personal Sensing | 32 | 8 | 2 | 7 | 15 |
| 85186154 | SIP2: High integrity in Sensor Networks: Models, Techniques, and System Support | 32 | 5 | 17 | 10 | |
| 9t0758gb | The Low Power Energy Aware Processing (LEAP) Embedded Networked Sensor System | 32 | 5 | 3 | 12 | 12 |
| 48h986b4 | Sensor Network Application Construction Kit (SNACK) | 31 | 10 | 4 | 14 | 3 |
| 3m2646q0 | Monitoring and Detecting Harmful Algal Blooms in King Harbor, City of Redondo Beach, CA, Using a Wireless Sensor Network | 30 | 3 | 13 | 14 | |
| 6b38n1jh | Acoustic Sensor Networks for Woodpecker Localization | 30 | 5 | 13 | 12 | |
| 2vv078qh | Sympathy: A Debugging System for Sensor Networks | 29 | 5 | 1 | 13 | 10 |
| 2z88h65j | Field Deployment of Potentiometric Nitrate Sensor System | 29 | 3 | 12 | 14 | |
| 36n1n3kj | Schedule and Latency Control in S-MAC | 29 | 5 | 15 | 9 | |
| 1b99m17f | Challenges in Adaptive Path Sampling with Mobile Sensors | 28 | 4 | 12 | 12 | |
| 1nn055gf | Recruitment Services for Participatory Sensing Applications | 28 | 5 | 1 | 9 | 13 |
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