Center for Embedded Network Sensing
Parent: UCLA
eScholarship stats: Breakdown by Item for November, 2024 through February, 2025
| Item | Title | Total requests | Download | View-only | %Dnld |
|---|---|---|---|---|---|
| 19h777qd | Participatory sensing | 156 | 21 | 135 | 13.5% |
| 4xx221vv | Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries | 135 | 8 | 127 | 5.9% |
| 85f6w6sv | Forest understory soil temperatures and heat flux calculated using a Fourier model and scaled using a digital camera | 109 | 9 | 100 | 8.3% |
| 4zw2f3s6 | Colibration: A Collaborative Approach to In-Place Sensor Calibration | 108 | 20 | 88 | 18.5% |
| 8mb6468v | Staggered Sampling for Efficient Data Collection | 103 | 2 | 101 | 1.9% |
| 8wb4118r | EDU 0: Education Overview | 98 | 4 | 94 | 4.1% |
| 62p28371 | Directed Diffusion for Wireless Sensor Networking | 97 | 22 | 75 | 22.7% |
| 3ks9198m | Nanorobots, NEMS, and Nanoassembly | 75 | 34 | 41 | 45.3% |
| 76x92441 | Design Considerations for Solar Energy Harvesting Wireless Embedded Systems | 72 | 43 | 29 | 59.7% |
| 4c0876vh | Networking Issues in Wireless Sensor Networks | 71 | 40 | 31 | 56.3% |
| 8wb43238 | Ambulation: a tool for monitoring mobility patterns over time using mobile phones | 69 | 5 | 64 | 7.2% |
| 2tp2w3g0 | Time Synchronization in Wireless Sensor Networks | 68 | 46 | 22 | 67.6% |
| 4r48w3bb | Efficient Planning of Informative Paths for Multiple Robots | 63 | 10 | 53 | 15.9% |
| 13r0q4fc | Virgil: Objects on the Head of a Pin | 61 | 30 | 31 | 49.2% |
| 6xs0j41x | Dynamic Fine-Grained Localization in Ad-Hoc Wireless Sensor Networks | 61 | 5 | 56 | 8.2% |
| 7q60k5d3 | Em View: The Em* Visualizer | 59 | 1 | 58 | 1.7% |
| 6zg2n1rh | Lightweight Temporal Compression of Microclimate Datasets | 56 | 11 | 45 | 19.6% |
| 7qd6q8qm | Smart Screen Management on Mobile Phones | 56 | 4 | 52 | 7.1% |
| 0465g4pc | The Design and Implementation of a Self -Calibrating Distributed Acoustic Sensing Platform | 55 | 13 | 42 | 23.6% |
| 6fs4559s | Little Science Confronts the Data Deluge: Habitat Ecology, Embedded Sensor Networks, and Digital Libraries | 55 | 23 | 32 | 41.8% |
| 1rb4285n | Sensor Network Data Fault Types | 54 | 27 | 27 | 50.0% |
| 88b146bk | The Atom LEAP Platform For Energy-Efficient Embedded Computing | 54 | 3 | 51 | 5.6% |
| 2t29v9wj | Nonmyopic Adaptive Informative Path Planning for Multiple Robots | 53 | 8 | 45 | 15.1% |
| 9bp57793 | The Tenet Architecture for Tiered Sensor Networks | 53 | 16 | 37 | 30.2% |
| 6w6295sp | Engaging women in computer science and engineering: Insights from a national study of undergraduate research experiences | 52 | 5 | 47 | 9.6% |
| 0qt608kr | Pervasive Computing: Embedding the Public Sphere | 51 | 18 | 33 | 35.3% |
| 5dk8r03w | Subduction Zone Seismic Experiment in Peru: Results From a Wireless Seismic Network | 51 | 4 | 47 | 7.8% |
| 7694j52g | A Wireless Sensor Network for Structural Monitoring | 48 | 16 | 32 | 33.3% |
| 2wx27188 | EmTOS: A Development Tool for Heterogeneous Sensor Networks | 46 | 11 | 35 | 23.9% |
| 5dj0231s | Coherent Acoustic Array Processing and Localization on Wireless Sensor Networks | 46 | 17 | 29 | 37.0% |
| 6gp6f2dm | Mobile Robots and Sensor Network: Working Together | 46 | 2 | 44 | 4.3% |
| 12v1c6v7 | Sympathy for the Sensor Network Debugger | 45 | 14 | 31 | 31.1% |
| 81s2s0t2 | Accurate Energy Attribution and Accounting for Multi-core Systems | 45 | 7 | 38 | 15.6% |
| 2xr2r802 | Four Billion Little Brothers? Privacy, mobile phones, and ubiquitous data collection | 44 | 5 | 39 | 11.4% |
| 3s80t0pj | AndWellness: An Open Mobile System for Activity and Experience Sampling | 44 | 7 | 37 | 15.9% |
| 6zp9v06w | Information-Theoretic Approaches for Sensor Selection and Placement in Sensor Networks for Target Localization and Tracking | 44 | 6 | 38 | 13.6% |
| 8v26b5qh | Rapid Deployment with Confidence:Calibration and Fault Detection in Environmental Sensor Networks | 44 | 12 | 32 | 27.3% |
| 80c967sz | Geography-informed Energy Conservation for Ad Hoc Routing | 43 | 13 | 30 | 30.2% |
| 44v6b3sj | Use of a Networked Digital Camera to Estimate Net CO2 Uptake of a Desiccation-Tolerant Moss | 42 | 5 | 37 | 11.9% |
| 4sn741ns | Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing | 42 | 7 | 35 | 16.7% |
| 49d605b3 | A Sensitive Nitrate Ion-Selective Electrode from a Pencil Lead: An Analytical Laboratory Experiment | 41 | 12 | 29 | 29.3% |
| 95t603tj | Participatory Sensing for Community Data Campaigns: A case study | 41 | 10 | 31 | 24.4% |
| 01g148vr | Entropy-based Sensor Selection Heuristic for Target Localization | 40 | 6 | 34 | 15.0% |
| 2vh5g17p | Networked Aquatic Microbial Observing Systems: An Overview | 40 | 0 | 40 | 0.0% |
| 4xt4t0pd | Lower Bounds of Localization Uncertainty in Sensor Networks | 40 | 9 | 31 | 22.5% |
| 7bx0g78h | Participatory Design of Sensing Networks: Strengths and Challenges | 40 | 8 | 32 | 20.0% |
| 8fq0v0p8 | Optical Detection of Domoic Acid: a major marine algal toxin | 40 | 1 | 39 | 2.5% |
| 4jd4f32h | Real-Time Adaptive Management of Soil Salinity Using a Receding Horizon Control Algorithm: A Pilot-Scale Demonstration | 39 | 6 | 33 | 15.4% |
| 6cn9x1hv | Sympathy for the Sensor Network Debugger | 39 | 6 | 33 | 15.4% |
| 8q70p81g | A Receding Horizon Control Algorithm for Adaptive Management of Soil Moisture and Chemical Levels during Irrigation | 39 | 12 | 27 | 30.8% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.