scholarly journals Towards fine-grained urban traffic knowledge extraction using mobile sensing

2012 ◽  
Author(s):  
Xuegang (Jeff) Ban ◽  
Marco Gruteser
Keyword(s):  
Knowledge Extraction ◽  
Mobile Sensing ◽  
Urban Traffic ◽  
Fine Grained

Drug Knowledge Extraction Framework with Entity Pair Calibration for Chinese Drug Instructions

2021 ◽  
Author(s):  
Xiaoliang Zhang ◽  
Lunsheng Zhou ◽  
Feng Gao ◽  
Zhongmin Wang ◽  
Yongqing Wang ◽  
...  
Keyword(s):  
Information Extraction ◽  
Relation Extraction ◽  
Knowledge Extraction ◽  
Entity Recognition ◽  
Chinese Drug ◽  
Training Models ◽  
Fine Grained ◽  
Score Improvement ◽  
Drug Knowledge ◽  
Relationship Identification

Abstract Existing pharmaceutical information extraction research often focus on standalone entity or relationship identification tasks over drug instructions. There is a lack of a holistic solution for drug knowledge extraction. Moreover, current methods perform poorly in extracting fine-grained interaction relations from drug instructions. To solve these problems, this paper proposes an information extraction framework for drug instructions. The framework proposes deep learning models with fine-tuned pre-training models for entity recognition and relation extraction, in addition, it incorporates an novel entity pair calibration process to promote the performance for fine-grained relation extraction. The framework experiments on more than 60k Chinese drug description sentences from 4000 drug instructions. Empirical results show that the framework can successfully identify drug related entities (F1 >= 0.95) and their relations (F1 >= 0.83) from the realistic dataset, and the entity pair calibration plays an important role (~5% F1 score improvement) in extracting fine-grained relations.

GAIA: A Fine-grained Multimedia Knowledge Extraction System

2020 ◽  
Author(s):  
Manling Li ◽  
Alireza Zareian ◽  
Ying Lin ◽  
Xiaoman Pan ◽  
Spencer Whitehead ◽  
...  
Keyword(s):  
Knowledge Extraction ◽  
Extraction System ◽  
Fine Grained

Massive Multiagent-Based Urban Traffic Simulation with Fine-Grained Behavior Models

2011 ◽  
Vol 15 (2) ◽  
pp. 233-239 ◽  
Author(s):  
Hiromitsu Hattori ◽  
◽  
Yuu Nakajima ◽  
Shohei Yamane
Keyword(s):  
Human Behavior ◽  
Large Scale ◽  
Urban Traffic ◽  
Social Experiment ◽  
Research Directions ◽  
Fine Grained ◽  
Design And Implementation ◽  
Behavior Models ◽  
Large Scale Simulations ◽  
Traffic Simulations

As it is getting easier to obtain reams of data on human behavior via ubiquitous devices, it is becoming obvious that we must work on two conflicting research directions for realizing multiagent-based social simulations; creating large-scale simulations and elaborating fine-scale human behavior models. The challenge in this paper is to achievemassively urban traffic simulations with fine-grained levels of driving behavior. Toward our objective, we show the design and implementation of a multiagent-based simulation platform, that enables us to execute massive but sophisticated multiagent traffic simulations. We show the capability of the developed platform to reproduce the urban traffic with a social experiment scenario. We investigate its potential to analyze the traffic from both macroscopic and microscopic viewpoints.

Fine-Grained Air Pollution Inference with Mobile Sensing Systems

2020 ◽  
Vol 4 (2) ◽  
pp. 1-21
Author(s):  
Rui Ma ◽  
Ning Liu ◽  
Xiangxiang Xu ◽  
Yue Wang ◽  
Hae Young Noh ◽  
...  
Keyword(s):  
Air Pollution ◽  
Mobile Sensing ◽  
Fine Grained ◽  
Sensing Systems

Application of an image management system in microscopy

1992 ◽  
Vol 50 (2) ◽  
pp. 1052-1053
Author(s):  
Richard S. Chemock
Keyword(s):  
Data Storage ◽  
Cost Savings ◽  
Image Data ◽  
Analytical Techniques ◽  
Operational Mode ◽  
Fine Grained ◽  
Image Recording ◽  
Primary Output ◽  
Capacity Data ◽  
Image Management System

One of the most common tasks in a typical analysis lab is the recording of images. Many analytical techniques (TEM, SEM, and metallography for example) produce images as their primary output. Until recently, the most common method of recording images was by using film. Current PS/2R systems offer very large capacity data storage devices and high resolution displays, making it practical to work with analytical images on PS/2s, thereby sidestepping the traditional film and darkroom steps. This change in operational mode offers many benefits: cost savings, throughput, archiving and searching capabilities as well as direct incorporation of the image data into reports.The conventional way to record images involves film, either sheet film (with its associated wet chemistry) for TEM or PolaroidR film for SEM and light microscopy. Although film is inconvenient, it does have the highest quality of all available image recording techniques. The fine grained film used for TEM has a resolution that would exceed a 4096x4096x16 bit digital image.

Use of fractals to describe microstructures of porous thick-film platinum electrodes

1992 ◽  
Vol 50 (1) ◽  
pp. 314-315
Author(s):  
Steven D. Toteda
Keyword(s):  
Fractal Dimension ◽  
Power Plants ◽  
Electrical Response ◽  
Cubic Phase ◽  
Platinum Electrodes ◽  
Fine Grained ◽  
Impedance Response ◽  
Platinum Particles ◽  
Energy Surfaces ◽  
Highly Porous

Zirconia oxygen sensors, in such applications as power plants and automobiles, generally utilize platinum electrodes for the catalytic reaction of dissociating O2 at the surface. The microstructure of the platinum electrode defines the resulting electrical response. The electrode must be porous enough to allow the oxygen to reach the zirconia surface while still remaining electrically continuous. At low sintering temperatures, the platinum is highly porous and fine grained. The platinum particles sinter together as the firing temperatures are increased. As the sintering temperatures are raised even further, the surface of the platinum begins to facet with lower energy surfaces. These microstructural changes can be seen in Figures 1 and 2, but the goal of the work is to characterize the microstructure by its fractal dimension and then relate the fractal dimension to the electrical response. The sensors were fabricated from zirconia powder stabilized in the cubic phase with 8 mol% percent yttria. Each substrate was sintered for 14 hours at 1200°C. The resulting zirconia pellets, 13mm in diameter and 2mm in thickness, were roughly 97 to 98 percent of theoretical density. The Engelhard #6082 platinum paste was applied to the zirconia disks after they were mechanically polished ( diamond). The electrodes were then sintered at temperatures ranging from 600°C to 1000°C. Each sensor was tested to determine the impedance response from 1Hz to 5,000Hz. These frequencies correspond to the electrode at the test temperature of 600°C.

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