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Taste Recognition in E-Tongue Using Local Discriminant Preservation Projection

IEEE Transactions on Cybernetics, 2019
Electronic tongue (E-Tongue), as a novel taste analysis tool, shows a promising perspective for taste recognition. In this paper, we constructed a voltammetric E-Tongue system and measured 13 different kinds of liquid samples, such as tea, wine, beverage,
Lei Zhang   +4 more
semanticscholar   +1 more source

De-escalation of commitment to information systems projects: a process perspective

The Journal of Strategic Information Systems, 2004
Escalation of commitment is a common and costly problem among information system projects. Although the potential of de-escalation of commitment to failing courses of action has been much heralded, many de-escalation efforts may result in failure due to constituencies biasing facts in the direction of previously accepted beliefs and therefore ...
PAN, Gary Shan Chi   +2 more
openaire   +2 more sources

Construction Project Quality Evaluation System from Lean Construction Perspective

Applied Mechanics and Materials, 2014
With economic development and improvement of living standards, people are increasingly demanding high-quality building products. However, due to the drawbacks of traditional quality management methods, it leads to a lot of problems in construction quality management, which affect the quality of the construction project, and even pose a threat to people'
openaire   +1 more source

Project-based companies as learning organisations: systems theory perspective

International Journal of Project Organisation and Management, 2011
The determination of viable approaches with which to help project-based companies ensure that learning takes place continuously is a very important issue. In this paper, we suggest that the systemic view provides an approach through which we may advance our understanding of the dynamics of project-based companies' learning, including both individual ...
openaire   +1 more source

Fusing Lidar Data and Aerial Imagery with Perspective Correction for Precise Localization in Urban Canyons

IEEE/RJS International Conference on Intelligent RObots and Systems, 2019
This paper addresses a vehicle localization method that fuses aerial maps and lidar data in urban canyon environments where global positioning system (GPS) signals are inaccurate. The boundaries of buildings are extracted from the aerial map and they are
Jonghwi Kim, Jinwhan Kim
semanticscholar   +1 more source

Systemic approach to project management: A stakeholders perspective for sustainability

2011 Annual IEEE India Conference, 2011
Today most projects fail to deliver on time for various reasons. Reasons could be scope creep, unclear requirements, lack of right resources/budget etc. For project success it is essential to get buy-in from all stakeholders involved directly or indirectly. Different stakeholders are involved at different phases of a project.
Anuradha Alladi, Sekhar Vadari
openaire   +1 more source

FARFusion: A Practical Roadside Radar-Camera Fusion System for Far-Range Perception

IEEE Robotics and Automation Letters
Far-range perception is essential for intelligent transportation systems. The main challenge of far-range perception is due to the difficulty of performing accurate object detection and tracking under far distances (e.g., $> \text{150}\,\text{m}$) at low
Yao Li   +6 more
semanticscholar   +1 more source

Multi-Perspective Finger-Vein Biometrics

2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems (BTAS), 2018
Most finger vein recognition systems use palmar finger images. There is some work on the dorsal view, but the remaining views have not been sufficiently investigated yet.
B. Prommegger, Christof Kauba, A. Uhl
semanticscholar   +1 more source

SIR-Aided Secure Transmission and Attack Detection for Security Management of Nonlinear Cyber-Physical System Using GRU Autoencoder

IEEE Transactions on Industrial Informatics
This article designs a data-driven unsupervised defense scheme for nonlinear systems by proposing a machine learning approach called gate recurrent unit-based modified denoising and stable image representation-aided autoencoders.
Shimeng Wu   +5 more
semanticscholar   +1 more source

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