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Topic Review
Efficiency of Industrial Based on Network DEA Method
There are two main methods to study the efficiency of industrial sectors. The first is parametric method represented by stochastic frontier method (SFA). The other is the more widely used non-parametric method represented by data envelopment analysis (DEA), which makes up for the shortcomings of the SFA method. It does not need to specify a certain functional relationship between input and output. The operation process of the Chinese provincial industrial system consists of four stages, namely the production (P) stage, wastewater treatment (WWT) stage, solid waste treatment (SWT) stage, and sulfur dioxide treatment (SDT) stage. Based on this structure, a four-stage data envelopment analysis (DEA) model is developed to evaluate the eco-efficiency, production efficiency, wastewater treatment efficiency, solid waste treatment efficiency, and sulfur dioxide treatment efficiency of provincial industrial systems in China, considering the undesirable output and variable returns to scale (VRS). 
  • 843
  • 24 May 2022
Topic Review
Spatially Bounded Airspace Axiom
Axiom is a fundamental truth in mathematics and philosophy. A claim that we do not have to prove, but we accept it as a true statement. The term axiom, in addition to theorems and postulates, can already be found in Euclid’s Elements (BC. 300). We can find the basic truths in all walks of life, including air transport. Air transport takes place in the airspace. Our entry describes an axiom of an airspace based on the latest airspace concept.
  • 842
  • 17 Jun 2022
Topic Review
Sustainable Learning and Education
Sustainable learning and education (SLE) is a relatively new ideology based on sustainability principles and developed in response to the United Nations’ recently proclaimed Sustainable Development Goals (SDGs). Recently, the coronavirus (COVID-19) pandemic has affected educational systems globally, leading them to embrace more innovative technological methods to meet academic demands while maintaining SLE principles. Mobile learning apps (MLA) refers to using the unique capabilities of mobile apps to engage and collaborate towards establishing robust online learning.
  • 842
  • 26 Apr 2022
Topic Review
List of Medical Wikis
This is a list of medical wikis, collaboratively-editable websites that focus on medical information. Many of the most popular medical wikis take the form of encyclopedias, with a separate article for each medical term. Some of these websites, such as WikiDoc and Radiopaedia, are editable by anyone, while others, such as Ganfyd, restrict editing access to professionals. The majority of them have content available only in English. The largest and most popular general encyclopedia, Wikipedia, also hosts a significant amount of health and medical information.
  • 842
  • 01 Nov 2022
Topic Review
Sustainability Budgets
Artificial Intelligence (AI) is increasingly being used to solve global problems, and its use could potentially solve challenges relating to climate change, but the creation of AI systems often requires vast amounts of, up front, computing power, and, thereby, it can be a significant contributor to greenhouse gas emissions. In 2015, the United Nations (UN) set their ‘Sustainable Development Goals’ (SDGs) as key global priorities for a better world by 2030. One of the key goals (Goal 13) is ‘to take urgent action to combat climate change and its impacts’. More recently, at the 2021 World Climate Summit (a global conference aimed at addressing climate change), a worldwide pledge was made for countries to do more to reduce their carbon footprints. Achieving this aim: utilising ‘Sustainability Budgets’, in analogy with Privacy Budgets in Differential Privacy, it develops a procedure that empowers developers, allows management to have sufficient oversight and provides a governance framework towards achieving Goal 13 of the ‘Sustainable Development Goals’.
  • 842
  • 14 Jun 2022
Topic Review
Edge Computing Simulators for IoT
The deployment of Internet of Things (IoT) applications is complex since many quality characteristics should be taken into account, for example, performance, reliability, and security. In this study, we investigate to what extent the current edge computing simulators support the analysis of qualities that are relevant to IoT architects who are designing an IoT system. We first identify the quality characteristics and metrics that can be evaluated through simulation. Then, we study the available simulators in order to assess which of the identified qualities they support. The results show that while several simulation tools for edge computing have been proposed, they focus on a few qualities, such as time behavior and resource utilization. Most of the identified qualities are not considered and we suggest future directions for further investigation to provide appropriate support for IoT architects.
  • 840
  • 28 Oct 2020
Topic Review
Parisoma
Coordinates: 37°46′24.89″N 122°24′57.19″W / 37.7735806°N 122.4158861°W / 37.7735806; -122.4158861 Parisoma (/ˈpærɪˈsoʊmə/) is a coworking space and open incubator in the SoMa district of San Francisco founded and managed by the firm Fabernovel. In addition to providing shared work space to approximately 120 members, it also hosts events and classes related to design, business, technology, and entrepreneurship.
  • 839
  • 22 Nov 2022
Topic Review
Point Set Registration
In computer vision, pattern recognition, and robotics, point set registration, also known as point cloud registration or scan matching, is the process of finding a spatial transformation (e.g., scaling, rotation and translation) that aligns two point clouds. The purpose of finding such a transformation includes merging multiple data sets into a globally consistent model (or coordinate frame), and mapping a new measurement to a known data set to identify features or to estimate its pose. Raw 3D point cloud data are typically obtained from Lidars and RGB-D cameras. 3D point clouds can also be generated from computer vision algorithms such as triangulation, bundle adjustment, and more recently, monocular image depth estimation using deep learning. For 2D point set registration used in image processing and feature-based image registration, a point set may be 2D pixel coordinates obtained by feature extraction from an image, for example corner detection. Point cloud registration has extensive applications in autonomous driving, motion estimation and 3D reconstruction, object detection and pose estimation, robotic manipulation, simultaneous localization and mapping (SLAM), panorama stitching, virtual and augmented reality, and medical imaging. As a special case, registration of two point sets that only differ by a 3D rotation (i.e., there is no scaling and translation), is called the Wahba Problem and also related to the orthogonal procrustes problem.
  • 838
  • 19 Oct 2022
Topic Review
Open BOK Context
A Body of Knowledge (BOK) is a concept used to represent concepts, terms, and activities that make up a professional domain. In addition, an Open BOK is necessary because it allows us to develop the abilities and talents of professionals in different Knowledge Areas (KAs).
  • 838
  • 02 Nov 2020
Topic Review
Construction Rework Cost Prediction Using Machine Learning
Predicting the construction cost of rework (COR) allows for the advanced planning and prompt implementation of appropriate countermeasures. Machine learning (ML) offers a data-oriented solution that can be utilized in different construction project contexts. ML approaches can predict COR by learning the complex patterns within the quality dataset.
  • 838
  • 09 Dec 2022
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