Center for Embedded Network Sensing
Parent: UCLA
eScholarship stats: History by Item for September through December, 2024
Item | Title | Total requests | 2024-12 | 2024-11 | 2024-10 | 2024-09 |
---|---|---|---|---|---|---|
19h777qd | Participatory sensing | 160 | 34 | 36 | 59 | 31 |
4zw2f3s6 | Colibration: A Collaborative Approach to In-Place Sensor Calibration | 133 | 31 | 29 | 38 | 35 |
8mb6468v | Staggered Sampling for Efficient Data Collection | 127 | 22 | 30 | 42 | 33 |
4xx221vv | Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries | 99 | 32 | 20 | 40 | 7 |
62p28371 | Directed Diffusion for Wireless Sensor Networking | 89 | 34 | 19 | 27 | 9 |
3ks9198m | Nanorobots, NEMS, and Nanoassembly | 81 | 20 | 21 | 26 | 14 |
85f6w6sv | Forest understory soil temperatures and heat flux calculated using a Fourier model and scaled using a digital camera | 73 | 21 | 12 | 34 | 6 |
8wb4118r | EDU 0: Education Overview | 70 | 23 | 21 | 16 | 10 |
2tp2w3g0 | Time Synchronization in Wireless Sensor Networks | 68 | 34 | 5 | 22 | 7 |
76x92441 | Design Considerations for Solar Energy Harvesting Wireless Embedded Systems | 68 | 25 | 11 | 15 | 17 |
7q60k5d3 | Em View: The Em* Visualizer | 67 | 15 | 11 | 25 | 16 |
4r48w3bb | Efficient Planning of Informative Paths for Multiple Robots | 63 | 14 | 7 | 28 | 14 |
2t29v9wj | Nonmyopic Adaptive Informative Path Planning for Multiple Robots | 60 | 15 | 12 | 24 | 9 |
4c0876vh | Networking Issues in Wireless Sensor Networks | 60 | 13 | 26 | 12 | 9 |
95t603tj | Participatory Sensing for Community Data Campaigns: A case study | 57 | 10 | 4 | 21 | 22 |
44v6b3sj | Use of a Networked Digital Camera to Estimate Net CO2 Uptake of a Desiccation-Tolerant Moss | 56 | 13 | 20 | 19 | 4 |
8v26b5qh | Rapid Deployment with Confidence:Calibration and Fault Detection in Environmental Sensor Networks | 55 | 22 | 7 | 13 | 13 |
6fs4559s | Little Science Confronts the Data Deluge: Habitat Ecology, Embedded Sensor Networks, and Digital Libraries | 54 | 12 | 9 | 21 | 12 |
6xs0j41x | Dynamic Fine-Grained Localization in Ad-Hoc Wireless Sensor Networks | 52 | 19 | 15 | 11 | 7 |
13r0q4fc | Virgil: Objects on the Head of a Pin | 51 | 11 | 20 | 11 | 9 |
0465g4pc | The Design and Implementation of a Self -Calibrating Distributed Acoustic Sensing Platform | 46 | 14 | 8 | 20 | 4 |
5dk8r03w | Subduction Zone Seismic Experiment in Peru: Results From a Wireless Seismic Network | 46 | 17 | 8 | 9 | 12 |
7694j52g | A Wireless Sensor Network for Structural Monitoring | 46 | 15 | 12 | 13 | 6 |
1rb4285n | Sensor Network Data Fault Types | 45 | 10 | 14 | 9 | 12 |
7qd6q8qm | Smart Screen Management on Mobile Phones | 45 | 23 | 7 | 11 | 4 |
6zg2n1rh | Lightweight Temporal Compression of Microclimate Datasets | 42 | 12 | 16 | 10 | 4 |
80c967sz | Geography-informed Energy Conservation for Ad Hoc Routing | 42 | 10 | 13 | 8 | 11 |
5mh7m01j | Timing-sync Protocol for Sensor Networks | 41 | 9 | 11 | 17 | 4 |
81s2s0t2 | Accurate Energy Attribution and Accounting for Multi-core Systems | 41 | 13 | 4 | 19 | 5 |
74h0v84v | Parameter Identification of Framed Structures Using an Improved Finite Element Model Updating Method—Part I: Formulation and Validation | 39 | 14 | 6 | 10 | 9 |
8wb43238 | Ambulation: a tool for monitoring mobility patterns over time using mobile phones | 39 | 21 | 6 | 7 | 5 |
92w6g3md | Deriving State Machines from TinyOS programs using Symbolic Execution | 39 | 10 | 11 | 18 | |
9bp57793 | The Tenet Architecture for Tiered Sensor Networks | 39 | 18 | 8 | 7 | 6 |
7bx0g78h | Participatory Design of Sensing Networks: Strengths and Challenges | 36 | 15 | 5 | 9 | 7 |
2wx27188 | EmTOS: A Development Tool for Heterogeneous Sensor Networks | 35 | 9 | 5 | 15 | 6 |
5h22d6xv | EmStar: An Environment for Developing Wireless Embedded Systems Software | 35 | 5 | 6 | 7 | 17 |
5hp8j5sk | Experiments with Underwater Robot Localization and Tracking | 35 | 6 | 3 | 19 | 7 |
0qt608kr | Pervasive Computing: Embedding the Public Sphere | 34 | 13 | 5 | 13 | 3 |
4sn741ns | Designing the Personal Data Stream: Enabling Participatory Privacy in Mobile Personal Sensing | 34 | 6 | 7 | 19 | 2 |
88b146bk | The Atom LEAP Platform For Energy-Efficient Embedded Computing | 34 | 12 | 5 | 13 | 4 |
9wm343pn | Sharing Sensor Network Data | 34 | 7 | 7 | 8 | 12 |
8pq5g7rm | Budburst and leaf area expansion measured with a ground-based, mobile camera system and simple color thresholding | 33 | 6 | 7 | 12 | 8 |
12v1c6v7 | Sympathy for the Sensor Network Debugger | 32 | 16 | 4 | 10 | 2 |
90j149pp | Participatory Privacy in Urban Sensing | 32 | 7 | 5 | 11 | 9 |
01g148vr | Entropy-based Sensor Selection Heuristic for Target Localization | 31 | 11 | 10 | 10 | |
2xr2r802 | Four Billion Little Brothers? Privacy, mobile phones, and ubiquitous data collection | 31 | 10 | 6 | 9 | 6 |
3s80t0pj | AndWellness: An Open Mobile System for Activity and Experience Sampling | 31 | 12 | 6 | 11 | 2 |
9xc0f566 | Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room | 31 | 9 | 6 | 14 | 2 |
8ct2h4pk | Understanding Packet Delivery Performance In Dense Wireless Sensor Networks | 30 | 12 | 1 | 9 | 8 |
6w6295sp | Engaging women in computer science and engineering: Insights from a national study of undergraduate research experiences | 29 | 7 | 4 | 15 | 3 |
Note: Due to the evolving nature of web traffic, the data presented here should be considered approximate and subject to revision. Learn more.