Papers
Parent: Center for Embedded Network Sensing
eScholarship stats: History by Item for March through June, 2024
| Item | Title | Total requests | 2024-06 | 2024-05 | 2024-04 | 2024-03 |
|---|---|---|---|---|---|---|
| 19h777qd | Participatory sensing | 473 | 26 | 43 | 149 | 255 |
| 8v01m8wj | Campaignr: A Framework for Participatory Data Collection on Mobile Phones | 172 | 90 | 78 | 2 | 2 |
| 62p28371 | Directed Diffusion for Wireless Sensor Networking | 104 | 13 | 39 | 36 | 16 |
| 5mh7m01j | Timing-sync Protocol for Sensor Networks | 101 | 9 | 25 | 38 | 29 |
| 13r0q4fc | Virgil: Objects on the Head of a Pin | 82 | 33 | 33 | 9 | 7 |
| 76x92441 | Design Considerations for Solar Energy Harvesting Wireless Embedded Systems | 70 | 17 | 25 | 13 | 15 |
| 8mb6468v | Staggered Sampling for Efficient Data Collection | 70 | 19 | 11 | 17 | 23 |
| 8867594b | Tansley Review: Environmental sensor networks in ecological research | 67 | 25 | 14 | 11 | 17 |
| 0465g4pc | The Design and Implementation of a Self -Calibrating Distributed Acoustic Sensing Platform | 61 | 8 | 12 | 27 | 14 |
| 6w6295sp | Engaging women in computer science and engineering: Insights from a national study of undergraduate research experiences | 58 | 18 | 7 | 12 | 21 |
| 3ks9198m | Nanorobots, NEMS, and Nanoassembly | 53 | 10 | 10 | 19 | 14 |
| 4sn741ns | Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing | 53 | 26 | 3 | 14 | 10 |
| 2xr2r802 | Four Billion Little Brothers? Privacy, mobile phones, and ubiquitous data collection | 52 | 24 | 11 | 13 | 4 |
| 7694j52g | A Wireless Sensor Network for Structural Monitoring | 52 | 7 | 14 | 17 | 14 |
| 4xx221vv | Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries | 51 | 10 | 21 | 10 | 10 |
| 85f6w6sv | Forest understory soil temperatures and heat flux calculated using a Fourier model and scaled using a digital camera | 51 | 26 | 12 | 10 | 3 |
| 8pq5g7rm | Budburst and leaf area expansion measured with a ground-based, mobile camera system and simple color thresholding | 48 | 23 | 7 | 9 | 9 |
| 9c16b6dd | Sensor Networking: Concepts, Applications, and Challenges | 44 | 5 | 8 | 20 | 11 |
| 6xs0j41x | Dynamic Fine-Grained Localization in Ad-Hoc Wireless Sensor Networks | 42 | 11 | 9 | 13 | 9 |
| 6fs4559s | Little Science Confronts the Data Deluge: Habitat Ecology, Embedded Sensor Networks, and Digital Libraries | 39 | 11 | 10 | 10 | 8 |
| 4c0876vh | Networking Issues in Wireless Sensor Networks | 36 | 3 | 8 | 10 | 15 |
| 6zg2n1rh | Lightweight Temporal Compression of Microclimate Datasets | 33 | 9 | 9 | 10 | 5 |
| 80c967sz | Geography-informed Energy Conservation for Ad Hoc Routing | 31 | 3 | 2 | 9 | 17 |
| 9bp57793 | The Tenet Architecture for Tiered Sensor Networks | 31 | 7 | 6 | 6 | 12 |
| 28p3k1rj | Forced Vibration Testing of a Four-Story Reinforced Concrete Building Utilizing the nees@UCLA Mobile Field Laboratory | 30 | 12 | 6 | 5 | 7 |
| 4r48w3bb | Efficient Planning of Informative Paths for Multiple Robots | 30 | 6 | 3 | 11 | 10 |
| 5v7619xw | Distrbuted Sensing Systems for Water Quality Assesment and Management | 30 | 6 | 3 | 4 | 17 |
| 9xc0f566 | Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room | 29 | 4 | 6 | 16 | 3 |
| 74h0v84v | Parameter Identification of Framed Structures Using an Improved Finite Element Model Updating Method—Part I: Formulation and Validation | 28 | 7 | 5 | 14 | 2 |
| 0qt608kr | Pervasive Computing: Embedding the Public Sphere | 26 | 7 | 4 | 12 | 3 |
| 5hp8j5sk | Experiments with Underwater Robot Localization and Tracking | 26 | 11 | 7 | 4 | 4 |
| 90j149pp | Participatory Privacy in Urban Sensing | 26 | 11 | 3 | 8 | 4 |
| 57q902x5 | Acoustic Sensor Networks for Woodpecker Localization | 25 | 5 | 6 | 8 | 6 |
| 6469d2v4 | Reliable and Efficient Programming Abstractions for Wireless Sensor Networks | 24 | 3 | 6 | 13 | 2 |
| 0md8w9rb | ASCENT: Adaptive Self-Configuring sEnsor Networks Topologies | 23 | 5 | 6 | 11 | 1 |
| 167720v5 | Environmental controls and the influence of vegetation type, fine roots and rhizomorphs on diel and seasonal variation in soil respiration | 23 | 5 | 8 | 3 | 7 |
| 4db390pk | Adaptive Sampling for Estimating a Scalar Field using a Robotic Boat and a Sensor Network | 23 | 6 | 4 | 7 | 6 |
| 5dj0231s | Coherent Acoustic Array Processing and Localization on Wireless Sensor Networks | 23 | 7 | 3 | 6 | 7 |
| 8ct2h4pk | Understanding Packet Delivery Performance In Dense Wireless Sensor Networks | 23 | 6 | 6 | 6 | 5 |
| 4r24m9hd | Identification, Model Updating, and Response Prediction of an Instrumented 15-Story Steel-Frame Building | 22 | 5 | 5 | 9 | 3 |
| 7wz2x25d | A Wireless Sensor Network for Structural Health Monitoring: Performance and Experience | 22 | 3 | 9 | 5 | 5 |
| 8d084588 | Coverage, Exploration and Deployment by a Mobile Robot and Communication Network | 22 | 3 | 4 | 9 | 6 |
| 9xz2k840 | Energy-Efficient Data Organization and Query Processing in Sensor Networks | 22 | 4 | 4 | 11 | 3 |
| 6r96j4rb | The ExoVM System for Automatic VM and Application Reduction | 21 | 2 | 9 | 5 | 5 |
| 6xk216kv | Autonomous Deployment and Repair of a Sensor Network Using an Unmanned Aerial Vehicle | 21 | 2 | 5 | 12 | 2 |
| 7nt8d117 | NIMSAQ: A novel system for autonomous sensing of aquatic environments | 21 | 6 | 5 | 7 | 3 |
| 2927x6x5 | New Approaches in Embedded Networked Sensing for Terrestrial Ecological Observatories | 20 | 7 | 3 | 6 | 4 |
| 31f765tj | On the Prevalence of Sensor Faults in Real-World Deployments | 20 | 2 | 5 | 11 | 2 |
| 6cj1756r | What Can Studies of e-Learning Teach Us about Collaboration in e-Research? Some Findings from Digital Library Studies | 20 | 5 | 5 | 7 | 3 |
| 77r2j6p0 | Reflections on Wireless Sensing Systems: From Ecosystems to Human Systems | 19 | 3 | 2 | 12 | 2 |
Disclaimer: due to the evolving nature of the web traffic we receive and the methods we use to collate it, the data presented here should be considered approximate and subject to revision.