Posters
Parent: Center for Embedded Network Sensing
eScholarship stats: Breakdown by Item for July through October, 2024
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 7q60k5d3 | Em View: The Em* Visualizer | 73 | 4 | 69 | 5.5% |
| 2wx27188 | EmTOS: A Development Tool for Heterogeneous Sensor Networks | 70 | 20 | 50 | 28.6% |
| 8wb4118r | EDU 0: Education Overview | 64 | 3 | 61 | 4.7% |
| 01w4350s | SNUSE Sensor Networks for Undersea Seismic Experimentation | 54 | 33 | 21 | 61.1% |
| 8qn830cq | Supporting Ecological Research With a Flexible Satellite Sensornet Gateway | 53 | 35 | 18 | 66.0% |
| 8sv2t5xc | An Overview of Multiscale Actuation and Sensing | 51 | 30 | 21 | 58.8% |
| 5dk8r03w | Subduction Zone Seismic Experiment in Peru: Results From a Wireless Seismic Network | 50 | 7 | 43 | 14.0% |
| 6s15h4k8 | Reliable Actuation for Networked Infomechanical Systems | 46 | 30 | 16 | 65.2% |
| 3f74t94h | Experimental Study of the Effects of Tx Power Control and Blacklisting in Wireless Sensor Networks | 45 | 23 | 22 | 51.1% |
| 4rt7r810 | Ecological Sensing in a Southern California Forest: Integrating Environmental Abiotic and Biotic Measurements to Understand Ecosystem Function. | 45 | 31 | 14 | 68.9% |
| 92w6g3md | Deriving State Machines from TinyOS programs using Symbolic Execution | 45 | 20 | 25 | 44.4% |
| 1z41c7s7 | New Wireless Miniature Sensor Technologies for CENS | 44 | 15 | 29 | 34.1% |
| 8kf9p679 | SYS0: Systems Area Research Overview | 43 | 4 | 39 | 9.3% |
| 4919w4vh | Exploiting Social Networks for Sensor Data Sharing with SenseShare | 42 | 17 | 25 | 40.5% |
| 5v80v4t3 | Networked Infomechanical Systems (NIMS) | 41 | 28 | 13 | 68.3% |
| 60h3h1h4 | Entropy Based Sensor Selection Heuristic for Localization | 41 | 2 | 39 | 4.9% |
| 7g7940x9 | Mote Herding for Tiered Wireless Sensor Networks | 41 | 27 | 14 | 65.9% |
| 9mj6b80x | An Overview of CENS Contaminant Transport Observation and Management Research | 41 | 18 | 23 | 43.9% |
| 0491d78j | Visual Localization and Mapping with Multiple View Features | 40 | 24 | 16 | 60.0% |
| 6bb984md | Urban Sensing or Personal and Participatory Sensing | 40 | 20 | 20 | 50.0% |
| 0cn3s5k9 | Imagers as Sensors: Correlating Plant CO2 Uptake with Digital Visible-Light Imagery | 39 | 22 | 17 | 56.4% |
| 2sm2502f | Stargate: Energy Management Techniques | 39 | 19 | 20 | 48.7% |
| 7fp998hk | KNO 1: Facilitating the Adoption of Embedded Networked Sensing by Emerging National Environmental Observatories | 39 | 27 | 12 | 69.2% |
| 0fs253z6 | Statistical Methods for Recovering 3D Models of Trees from Sensor Data | 37 | 24 | 13 | 64.9% |
| 2vh5g17p | Networked Aquatic Microbial Observing Systems: An Overview | 37 | 20 | 17 | 54.1% |
| 8jp308rg | Toward Resource Efficient Homes: From Measurements to Sustainable Choices | 37 | 19 | 18 | 51.4% |
| 4z9444hm | Task Allocation for Event-Aware Spatiotemporal Sampling of Environmental Variables | 36 | 21 | 15 | 58.3% |
| 1rb4285n | Sensor Network Data Fault Types | 35 | 19 | 16 | 54.3% |
| 33t7h0ks | Development and Environmental Applications of a Nitrate Microsensor Based on Doped Polypyrrole Films | 35 | 24 | 11 | 68.6% |
| 7kb1r614 | Progress in Detection and Identification of Marine Microorganisms | 35 | 20 | 15 | 57.1% |
| 7sh4975w | CENSDC: Adding Context to Content | 35 | 15 | 20 | 42.9% |
| 4d1002mx | Evaluation of Imagers in a Biological Sensing Deployment | 34 | 16 | 18 | 47.1% |
| 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 | 22 | 11 | 66.7% |
| 38d713q8 | The Sierra Nevada-San Joaquin Hydrologic Observatory (SNSJHO): a WATERS network test bed | 33 | 17 | 16 | 51.5% |
| 3kq258gc | A Framework for Data Quality and Feedback in Participatory Sensing | 33 | 17 | 16 | 51.5% |
| 7td3g73w | Micro- and Mini-nitrate Sensors for Monitoring of Soils, Groundwater and Aquatic Systems | 33 | 6 | 27 | 18.2% |
| 9fh6p3ws | Investigations of Fine-scale Diel Migration of Phytoplankton Populations in King Harbor, Redondo Beach | 33 | 15 | 18 | 45.5% |
| 32j8v1bm | Campaignr: a participatory sensing software architecture for cellphones | 32 | 10 | 22 | 31.3% |
| 5rb3s6z1 | Imagers as Biological Sensors | 32 | 17 | 15 | 53.1% |
| 5t09j13j | Personal Data Vault: A Privacy Architecture for Mobile Personal Sensing | 32 | 4 | 28 | 12.5% |
| 85186154 | SIP2: High integrity in Sensor Networks: Models, Techniques, and System Support | 32 | 20 | 12 | 62.5% |
| 9t0758gb | The Low Power Energy Aware Processing (LEAP) Embedded Networked Sensor System | 32 | 17 | 15 | 53.1% |
| 48h986b4 | Sensor Network Application Construction Kit (SNACK) | 31 | 17 | 14 | 54.8% |
| 3m2646q0 | Monitoring and Detecting Harmful Algal Blooms in King Harbor, City of Redondo Beach, CA, Using a Wireless Sensor Network | 30 | 14 | 16 | 46.7% |
| 6b38n1jh | Acoustic Sensor Networks for Woodpecker Localization | 30 | 16 | 14 | 53.3% |
| 2vv078qh | Sympathy: A Debugging System for Sensor Networks | 29 | 13 | 16 | 44.8% |
| 2z88h65j | Field Deployment of Potentiometric Nitrate Sensor System | 29 | 17 | 12 | 58.6% |
| 36n1n3kj | Schedule and Latency Control in S-MAC | 29 | 18 | 11 | 62.1% |
| 1b99m17f | Challenges in Adaptive Path Sampling with Mobile Sensors | 28 | 15 | 13 | 53.6% |
| 1nn055gf | Recruitment Services for Participatory Sensing Applications | 28 | 12 | 16 | 42.9% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.