Center for Embedded Network Sensing
Parent: UCLA
eScholarship stats: Breakdown by Item for December, 2024 through March, 2025
Item | Title | Total requests | Download | View-only | %Dnld |
---|---|---|---|---|---|
19h777qd | Participatory sensing | 178 | 23 | 155 | 12.9% |
4xx221vv | Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries | 153 | 7 | 146 | 4.6% |
0qt608kr | Pervasive Computing: Embedding the Public Sphere | 135 | 99 | 36 | 73.3% |
85f6w6sv | Forest understory soil temperatures and heat flux calculated using a Fourier model and scaled using a digital camera | 131 | 9 | 122 | 6.9% |
4zw2f3s6 | Colibration: A Collaborative Approach to In-Place Sensor Calibration | 102 | 16 | 86 | 15.7% |
8mb6468v | Staggered Sampling for Efficient Data Collection | 101 | 3 | 98 | 3.0% |
8wb4118r | EDU 0: Education Overview | 101 | 6 | 95 | 5.9% |
62p28371 | Directed Diffusion for Wireless Sensor Networking | 95 | 22 | 73 | 23.2% |
8wb43238 | Ambulation: a tool for monitoring mobility patterns over time using mobile phones | 86 | 6 | 80 | 7.0% |
2tp2w3g0 | Time Synchronization in Wireless Sensor Networks | 81 | 54 | 27 | 66.7% |
76x92441 | Design Considerations for Solar Energy Harvesting Wireless Embedded Systems | 78 | 46 | 32 | 59.0% |
3ks9198m | Nanorobots, NEMS, and Nanoassembly | 73 | 31 | 42 | 42.5% |
4r48w3bb | Efficient Planning of Informative Paths for Multiple Robots | 66 | 9 | 57 | 13.6% |
6w6295sp | Engaging women in computer science and engineering: Insights from a national study of undergraduate research experiences | 66 | 5 | 61 | 7.6% |
7q60k5d3 | Em View: The Em* Visualizer | 65 | 2 | 63 | 3.1% |
7qd6q8qm | Smart Screen Management on Mobile Phones | 65 | 6 | 59 | 9.2% |
2wx27188 | EmTOS: A Development Tool for Heterogeneous Sensor Networks | 64 | 17 | 47 | 26.6% |
88b146bk | The Atom LEAP Platform For Energy-Efficient Embedded Computing | 64 | 4 | 60 | 6.3% |
6xs0j41x | Dynamic Fine-Grained Localization in Ad-Hoc Wireless Sensor Networks | 60 | 8 | 52 | 13.3% |
2t29v9wj | Nonmyopic Adaptive Informative Path Planning for Multiple Robots | 59 | 10 | 49 | 16.9% |
0465g4pc | The Design and Implementation of a Self -Calibrating Distributed Acoustic Sensing Platform | 58 | 11 | 47 | 19.0% |
4c0876vh | Networking Issues in Wireless Sensor Networks | 58 | 32 | 26 | 55.2% |
9xc0f566 | Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room | 58 | 10 | 48 | 17.2% |
6fs4559s | Little Science Confronts the Data Deluge: Habitat Ecology, Embedded Sensor Networks, and Digital Libraries | 57 | 27 | 30 | 47.4% |
9bp57793 | The Tenet Architecture for Tiered Sensor Networks | 56 | 17 | 39 | 30.4% |
1rb4285n | Sensor Network Data Fault Types | 54 | 21 | 33 | 38.9% |
2xr2r802 | Four Billion Little Brothers? Privacy, mobile phones, and ubiquitous data collection | 53 | 10 | 43 | 18.9% |
12v1c6v7 | Sympathy for the Sensor Network Debugger | 52 | 19 | 33 | 36.5% |
3s80t0pj | AndWellness: An Open Mobile System for Activity and Experience Sampling | 52 | 8 | 44 | 15.4% |
81s2s0t2 | Accurate Energy Attribution and Accounting for Multi-core Systems | 52 | 7 | 45 | 13.5% |
28p3k1rj | Forced Vibration Testing of a Four-Story Reinforced Concrete Building Utilizing the nees@UCLA Mobile Field Laboratory | 51 | 7 | 44 | 13.7% |
4jd4f32h | Real-Time Adaptive Management of Soil Salinity Using a Receding Horizon Control Algorithm: A Pilot-Scale Demonstration | 50 | 7 | 43 | 14.0% |
5dk8r03w | Subduction Zone Seismic Experiment in Peru: Results From a Wireless Seismic Network | 50 | 6 | 44 | 12.0% |
8q70p81g | A Receding Horizon Control Algorithm for Adaptive Management of Soil Moisture and Chemical Levels during Irrigation | 50 | 14 | 36 | 28.0% |
5dj0231s | Coherent Acoustic Array Processing and Localization on Wireless Sensor Networks | 49 | 19 | 30 | 38.8% |
6gp6f2dm | Mobile Robots and Sensor Network: Working Together | 49 | 2 | 47 | 4.1% |
13r0q4fc | Virgil: Objects on the Head of a Pin | 48 | 23 | 25 | 47.9% |
4kw5x35z | Timing-sync protocol for sensor networks | 48 | 27 | 21 | 56.3% |
6zg2n1rh | Lightweight Temporal Compression of Microclimate Datasets | 48 | 12 | 36 | 25.0% |
7bx0g78h | Participatory Design of Sensing Networks: Strengths and Challenges | 48 | 11 | 37 | 22.9% |
7694j52g | A Wireless Sensor Network for Structural Monitoring | 47 | 16 | 31 | 34.0% |
80c967sz | Geography-informed Energy Conservation for Ad Hoc Routing | 47 | 16 | 31 | 34.0% |
8fq0v0p8 | Optical Detection of Domoic Acid: a major marine algal toxin | 47 | 2 | 45 | 4.3% |
8v26b5qh | Rapid Deployment with Confidence:Calibration and Fault Detection in Environmental Sensor Networks | 47 | 11 | 36 | 23.4% |
1st5g4xw | Summer@CENS: a research internship program | 46 | 3 | 43 | 6.5% |
1z41c7s7 | New Wireless Miniature Sensor Technologies for CENS | 46 | 4 | 42 | 8.7% |
4sn741ns | Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing | 46 | 8 | 38 | 17.4% |
08g209b4 | Physical, chemical, and biological factors shaping phytoplankton community structure in King Harbor, Redondo Beach, California | 45 | 2 | 43 | 4.4% |
6zp9v06w | Information-Theoretic Approaches for Sensor Selection and Placement in Sensor Networks for Target Localization and Tracking | 45 | 7 | 38 | 15.6% |
94h847x9 | The Bits and Flops of the N-hop Multilateration Primitive for Node Localization Problems | 45 | 19 | 26 | 42.2% |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.