Search Results - subject:"Data Fusion"

Predictive modelling of surface roughness in fused deposition modelling using data fusion

Wu, Dazhong; Wei, Yupeng; Terpenny, Janis - In: International journal of production research 57 (2019) 12, pp. 3992-4006

Persistent link: https://www.econbiz.de/10012193397

Micro Data Fusion of Italian Expenditures and Incomes Surveys

Pisano, Elena; Tedeschi, Simone - Dipartimento di Economia e Diritto, Facoltà di Economia - 2014

The aim of this work is to match household consumption information from Indagine sui Consumi delle Famiglie (Household Budget Survey, HBS) by the Italian National Statistical Institute (ISTAT) with Indagine sui Bilanci delle Famiglie Italiane (Survey of Householdsâ€™ Income and Wealth,...

Persistent link: https://www.econbiz.de/10011160705

Hybrid Traffic Data Collection Roadmap: Pilot Procurement of Third-Party Traffic Data

Alexandre, Bayen - Institute for Transportation Studies (ITS), University … - 2013

This research investigates the feasibility and the business case for purchasing thirdâ€party probe data and fusing it with Caltransâ€™ existing data for the purpose of estimating travel times. The intent was to demonstrate an efficient and cost-effective use of alternative traffic data...

Persistent link: https://www.econbiz.de/10011130790

Data Fusion Between Bank of Italy-SHIW and ISTAT-HBS

Tedeschi, Simone; Pisano, Elena - Volkswirtschaftliche Fakultät, … - 2013

Persistent link: https://www.econbiz.de/10011257803

Hybrid Traffic Data Collection Roadmap: Objectives and Methods

Bayen, Alexandre - Institute for Transportation Studies (ITS), University … - 2013

Traffic data is used to estimate current traffic conditions so that travelers and agencies can make better decisions about how to use and manage the transportation network. This research explores the fusion of probe data (vehicle speed and direction) with loop data (density, speed, and count) in...

Persistent link: https://www.econbiz.de/10010942067

Application of Data Fusion for Uncertainty and Sensitivity Analysis of Water Quality in the Shenandoah River

Mbuh, Mbongowo Joseph - In: International Journal of Applied Geospatial Research (IJAGR) 9 (2018) 3, pp. 31-54

and uncertainty from water quality modeling and field observation can be improved through data fusion for a better … while data fusion was an invaluable tool to reduce uncertainty, an improvement in the temporal scales would also enhance …This article is aimed at demonstrating the feasibility of combining water quality observations with modeling using data …

Persistent link: https://www.econbiz.de/10012042847

2017 Wagner Prize finalist Carbajal et al./Turner Broadcasting System

Labe, Russell P.; Milne, R. John - In: Interfaces : the INFORMS journal on the practice of … 48 (2018) 5, pp. 402

Persistent link: https://www.econbiz.de/10011950468

Extending the Internet of Things

PRIVAT, Gilles - In: Communications & Strategies 1 (2012) 87, pp. 101-119

This article proposes a theoretical and practical extension of the IoT, taking in all "things" that can be sensed by sensors, without requiring them to be fitted with a tag or a digital network interface. These physical entities, whatever they may be (legacy appliances, passive items, subsets of...

Persistent link: https://www.econbiz.de/10010930567

Multi-Sensor Motion Fusion Using Deep Neural Network Learning

Sun, Xinyao; Basu, Anup; Cheng, Irene - In: International Journal of Multimedia Data Engineering … 8 (2017) 4, pp. 1-18

Hand pose estimation for a continuous sequence has been an important topic not only in computer vision but also human-computer-interaction. Exploring the feasibility to use hand gestures to replace input devices, e.g., mouse, keyboard, joy-stick and touch screen, has attracted increasing...

Persistent link: https://www.econbiz.de/10012046529

Lagrangian-based hydrodynamic model for traffic data fusion on freeways

Han, Ke; Yao, Tao; Jiang, Chaozhe; Friesz, Terry L. - In: Networks and spatial economics : a journal of … 17 (2017) 4, pp. 1071-1094

Persistent link: https://www.econbiz.de/10011809992