scholarly journals Modelling Past and Future Urban Ecosystem Health Assessment —A Case Study of Kunming

2021 ◽  
Author(s):  
Hui Li ◽  
Yang Liu ◽  
Weiguo Sheng ◽  
Huiyi Qiu ◽  
Yilu Zhou ◽  
...  
Keyword(s):  
Health Assessment ◽  
Urban Ecosystem ◽  
Assessment Model ◽  
Capital City ◽  
Health State ◽  
Indicator Values ◽  
Grey System ◽  
Future Health ◽  
Human Environment

Abstract Rapid urbanisation leads to increasing conflict in the human-environment relationship. The health of urban ecosystems is deteriorating and this will directly harmcommunity health and wellbeing. This paper used Kunming, the capital city of Yunnan Province, China as a case study. A health assessment model for the urban ecosystem of Kunming was built using 25 indicators reflecting five measures: driving force, pressure, state, impact and response. We calculated the indicator values in 2006, 2011 and 2016 with remote sensing and statistical data. We used the entire-array-polygon method to draw polygon graphs and calculate the overall indicator values of the three periods, based on the standardised values of all indicators. All the indicator values were below 0.25, showing that the urban ecosystem was assessed as unhealthy. On the basis of the past health assessment model, we applied a grey system forecasting method to predict the future health of the urban ecosystem. If the current trends continued, the urban ecosystem would remain in an unhealthy state for 5–10 years. Strong measures should be implemented to improve the overall health of the urban ecosystem. This paper serves as an early warning of the health state of the urban ecosystem in Kunming.

Industrial Robot Accuracy Degradation Monitoring and Quick Health Assessment

2019 ◽  
Vol 141 (7) ◽  
Author(s):  
Guixiu Qiao ◽  
Brian A. Weiss
Keyword(s):  
Production Efficiency ◽  
Health Management ◽  
Research Effort ◽  
Industrial Robot ◽  
Health Assessment ◽  
Test Method ◽  
Health State ◽  
Future Health ◽  
Robot Accuracy ◽  
Degradation Monitoring

Robot accuracy degradation sensing, monitoring, and assessment are critical activities in many industrial robot applications, especially when it comes to the high accuracy operations which may include welding, material removal, robotic drilling, and robot riveting. The degradation of robot tool center accuracy can increase the likelihood of unexpected shutdowns and decrease manufacturing quality and production efficiency. The development of monitoring, diagnostic and prognostic (collectively known as prognostics and health management (PHM)) technologies can aid manufacturers in maintaining the performance of robot systems. PHM can provide the techniques and tools to support the specification of a robot’s present and future health state and optimization of maintenance strategies. This paper presents the robotic PHM research and the development of a quick health assessment at the U.S. National Institute of Standards and Technology (NIST). The research effort includes the advanced sensing development to measure the robot tool center position and orientation; a test method to generate a robot motion plan; an advanced robot error model that handles the geometric/nongeometric errors and the uncertainties of the measurement system, and algorithms to process measured data to assess the robot’s accuracy degradation. The algorithm has no concept of the traditional derivative or gradient for algorithm converging. A use case is presented to demonstrate the feasibility of the methodology.

scholarly journals Bearing Health Assessment Based on Chaotic Characteristics

2013 ◽  
Vol 20 (3) ◽  
pp. 519-530 ◽  
Author(s):  
Chen Lu ◽  
Qian Sun ◽  
Laifa Tao ◽  
Hongmei Liu ◽  
Chuan Lu
Keyword(s):  
Health Assessment ◽  
Vibration Signal ◽  
Assessment Method ◽  
Largest Lyapunov Exponent ◽  
Health State ◽  
Self Organizing Map ◽  
Linear Complex ◽  
Vibration Signals ◽  
Confidence Value

Vibration signals extracted from rotating parts of machinery carry a lot of useful information about the condition of operating machine. Due to the strong non-linear, complex and non-stationary characteristics of vibration signals from working bearings, an accurate and reliable health assessment method for bearing is necessary. This paper proposes to utilize the selected chaotic characteristics of vibration signal for health assessment of a bearing by using self-organizing map (SOM). Both Grassberger-Procaccia algorithm and Takens' theory are employed to calculate the characteristic vector which includes three chaotic characteristics, such as correlation dimension, largest Lyapunov exponent and Kolmogorov entropy. After that, SOM is used to map the three corresponding characteristics into a confidence value (CV) which represents the health state of the bearing. Finally, a case study based on vibration datasets of a group of testing bearings was conducted to demonstrate that the proposed method can reliably assess the health state of bearing.

A new LNG wharf health assessment model considering structural weak areas

2021 ◽  
pp. 1748006X2110278
Author(s):  
Chaoli Zhang ◽  
Lihao Yang ◽  
Guanyu Hu ◽  
Shuaiwen Tang ◽  
Zhijie Zhou
Keyword(s):  
Finite Element ◽  
Health Information ◽  
Health Assessment ◽  
Liquefied Natural Gas ◽  
Assessment Model ◽  
Sensor Deployment ◽  
Health State ◽  
Structural Mechanism ◽  
Sensor Monitoring ◽  
Monitoring Information

The structural health state of liquefied natural gas (LNG) wharf is important for the docking and operation of LNG ships. Based on the finite element modal analysis (FEMA) and evidential reasoning (ER) rule, a new health assessment model for the LNG wharf is proposed in this paper, where structural weak areas are considered. Firstly, combining the structural mechanism and FEMA, the LNG wharf is simulated and modeled. The weak areas of the wharf in common working modes are analyzed and obtained. Secondly, based on the analysis results, the sensor deployment is guided and the wharf health information is collected. Finally, based on the ER rule, the sensor monitoring information is fused to realize the health assessment of the wharf. This paper takes an LNG wharf in the Hainan Yangpu area of China as an example. The experimental results show that the proposed method can accurately and effectively assess the health state of the wharf.

Operative Ontologien – ein Versuch, einen klaren Begriff zu verunreinigen

2017 ◽  
Vol 8 (2) ◽  
pp. 187-192
Author(s):  
Gertrud Koch
Keyword(s):  
Motion Capture ◽  
Human Being ◽  
Visual Effects ◽  
Human Environment ◽  
Ontological Question ◽  
Media And Technology ◽  
Live Action ◽  
Capture Technique

"Operative Ontologien werden in diesem Artikel als relationale kommunikative Situationen vorgestellt, in denen Medien und Technik Teil einer Praxis sind, aber nicht einfach mit dieser zusammenfallen. Die Ontologie bezieht sich auf eine temporäre Konstellation, beispielsweise eine Verknüpfung von Maschine, Körper und Bild, in der die ontologische Frage der Anthropologie perspektivisch immer wieder verschoben wird. Wie das genau zu verstehen ist, wird am Fallbeispiel der Motion-Capture-Technik deutlich, in der durch eine Verschmelzung von Live Action Movie und der animierten Welt der Visual Effects eine permanente Veränderung dessen erfolgt, was als Mensch oder menschliche Umwelt angesehen wird. This article presents operational ontologies as communicative situations in which media and technology are part of a practice, but do not simply coincide with it. Ontology refers to a temporary constellation, for example a link between machine, body and image, which shifts the ontological question of anthropology in perspective time and again. This thesis is further illustrated by a case study of the motion capture technique, whose merging of live action movie and the animated world of visual effects leads to a permanent modification of our notions of the human being and human environment. "

Human-Environment Interactions: A Plea for the Humanities

2007 ◽  
Vol 2 (2) ◽  
pp. 210-222 ◽  
Author(s):  
Nancy Tuana
Keyword(s):  
Social Sciences ◽  
Hurricane Katrina ◽  
New Orleans ◽  
Global Community ◽  
Human Environment

Research on human-environment interactions often neglects the resources of the humanities. Hurricane Katrina and the resulting levee breaches in New Orleans offer a case study on the need for inclusion of the humanities in the study of human-environment interactions, particularly the resources they provide in examining ethics and value concerns. Methods from the humanities, when developed in partnership with those from the sciences and social sciences, can provide a more accurate, effective, and just response to the scientific and technological challenges we face as a global community.

An Analytical Approach to Cruise Tourism As an Option For Development: a Case Study of the Sultanate of Oman

2020 ◽  
Vol 15 (2) ◽  
pp. 95-109
Author(s):  
Heba Aziz ◽  
Osman El-Said ◽  
Marike Bontenbal
Keyword(s):  
Capital City ◽  
Sultanate Of Oman ◽  
Policy Makers ◽  
Cruise Tourism ◽  
The Impact ◽  
The Relationship ◽  
Average Expenditure ◽  
Return Intention

The objective of this study was to measure the level of cruise tourists' satisfaction as well as the relationship between satisfaction, recommendation, return intention, and expenditure. Also, the impact of factors such as nationality, length of the visit, and age on the level of expenditure was measured. An empirical approach for data collection was followed and a total of 152 questionnaires were collected from cruise tourists visiting the capital city of Oman, Muscat, as cruise liners anchor at Sultan Qaboos Port. Results of the regression analysis supported the existence of a causal relationship between satisfaction with destination attributes, overall satisfaction, recommendation, return intention, and expenditure. It was found that the average expenditure varies according to age and length of the visit. Recommendations for policy makers were suggested on how to increase the role of cruise tourism in strengthening the economy.

Sign in / Sign up

Export Citation Format

Share Document