A Knowledge-Based System for Evaluating the Impact of Soil Properties on the Performance of Utility Location Technologies: Design and Case Study

ICPTT 2011 ◽  
2011 ◽  
Author(s):  
K. Y. Foo ◽  
T. Hao ◽  
G. Curioni ◽  
D. N. Chapman ◽  
N. Metje ◽  
...  
2019 ◽  
Vol 11 (4) ◽  
pp. 257
Author(s):  
Yousuf Nasser Al Khamisi ◽  
Mohammed Khurshid Khan ◽  
Jose Eduardo Munive Hernandez

2015 ◽  
Vol 17 (4) ◽  
pp. 364-380 ◽  
Author(s):  
Yiwei Gong ◽  
Marijn Janssen

Purpose – The purpose of this paper is to demystify Lean for service innovation by investigating its benefits and risks. Lean innovation is a relatively new approach which is advocated in management literature. Little scientific work about its practice exists in the field. Although the Lean innovation principles are clear, there is limited evidence about their impact on service innovation processes. Design/methodology/approach – From the knowledge-based view (KBV) of the firm, a framework for understanding Lean innovation is developed. Using this framework, the benefits and risks of Lean innovation are analyzed in a case study. Findings – The case study not only shows that Lean service innovation can have many advantages, but also draws attention to the risks. The risks might result in the inability to follow Lean principles and might hamper the realization of the benefits. Using the case studies, study mitigation mechanisms are identified. Originality/value – This research offers a new knowledge perspective and a better understanding of Lean service innovation. There are two main contribution of this paper. First of all, it reports on the impact of Lean innovation on a bank’s innovation processes, both its benefit and risks. This has a contribution to understanding the innovation process in service organizations. Second, this paper extends Lean innovation to a service context and contributes to the knowledge basis of Lean innovation.


2021 ◽  
Author(s):  
Monica Corti ◽  
Andrea Abbate ◽  
Vladislav Ivanov ◽  
Monica Papini ◽  
Laura Longoni

<p>Wildfire events have severe effects over mountain environments, changing dramatically the local terrain hydrogeological conditions and frequently affecting slope stability. Besides burning vegetation, wildfires induce a modification on soil properties that could result in a decreased capacity of infiltration. This leads to an increase of erosion and, potentially, of the related geohazards, such as flash flooding and debris flows, in the vicinity of the affected sites.</p><p>Past studies found that this reduced infiltration rate changes over time and the original hydrogeological soil properties are expected to recover in as long as 10 years after the wildfire event, depending on the environmental characteristics and on the soil properties of the site.</p><p>Our work aims to investigate the impact of a wildfire on the infiltration conditions of a slope located in the Southern Alps, considering as a case study a wildfire event occurred in Sorico (CO) in December 2018.</p><p>The effects of the wildfire on the infiltration rates and the subsequent recovery of the original hydrogeological properties were evaluated over the span of more than two years after the event. Infiltration tests were performed both within the most affected area as well as in the nearest unburnt area. Results were then correlated with precipitation and satellite imagery data in order to retrieve a recovery factor, necessary for the calibration of a simple 1D hydrogeological model.</p>


Author(s):  
Ze-Lin Liu ◽  
Yong Chen ◽  
You-Bai Xie

Exploring wide multi-disciplinary solution spaces to create conceptual design solutions is a difficult task for human designers due to lack of sufficient multi-disciplinary knowledge. A viable approach would be to develop a computer-aided system to synthesize the wide variety of knowledge for a given design task. However, the existing design synthesis systems are mainly domain-specific, focusing on conceptual design synthesis in a single or few limited disciplines. Therefore, this article introduces the development of a knowledge-based system for multi-disciplinary conceptual design synthesis, including the establishment of a knowledge base for organizing multi-disciplinary principle solutions and a design synthesis algorithm. The implementation of a prototype software is also reported, with the conceptual design of a solar fountain as a demonstrative case. The results of the case study show that the system can automatically and conveniently generate multi-disciplinary conceptual solutions.


2019 ◽  
Vol 11 (4) ◽  
pp. 257 ◽  
Author(s):  
Yousuf Nasser Al Khamisi ◽  
Mohammed Khurshid Khan ◽  
Jose Eduardo Munive Hernandez

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