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Topic Review
Artificial Pancreas Control Strategies for Type 1 Diabetes
This entry presents a comprehensive survey about the fundamental components of the artificial pancreas (AP) system including insulin administration and delivery, glucose measurement (GM), and control strategies/algorithms used for type 1 diabetes mellitus (T1DM) treatment and control. 
  • 510
  • 17 Dec 2021
Topic Review
Five Senses plus One of Robotics
Robots can be equipped with a range of senses to allow them to perceive and interact with the world in a more natural and intuitive way. These senses can include vision, hearing, touch, smell, and taste. Vision allows the robot to see and recognize objects and navigate its environment. Hearing enables the robot to recognize sounds and respond to vocal commands. Touch allows the robot to perceive information about the texture, shape, and temperature of objects through the sense of touch. Smell enables the robot to recognize and classify different odors. Taste enables the robot to identify the chemical composition of materials. The specific senses used in a robot will depend on the needs of the application, and many robots use a combination of different senses to perceive and interact with the environment.
  • 510
  • 15 Jun 2023
Topic Review
Sustainability, Digital Technologies and the Circular Economy
The textile and clothing (T&C) industry is not usually viewed as an exemplar of sustainable development and the circular economy (CE), as the industry has hitherto developed its products in a linear fashion, with relatively little recycling of the finished goods. 
  • 510
  • 03 Jul 2023
Topic Review
LPWAN Key Exchange
The Internet of Things (IoT) is one of the fastest emerging technologies in the industry. It includes diverse applications with different requirements to provide services to users. Secure, low-powered, and long-range transmissions are some of the most vital requirements in developing IoT applications. IoT uses several communication technologies to fulfill transmission requirements. However, Low Powered Wide Area Networks (LPWAN) transmission standards have been gaining attention because of their exceptional low-powered and long-distance transmission capabilities. The features of LPWAN transmission standards make them a perfect candidate for IoT applications. However, the current LPWAN standards lack state-of-the-art security mechanisms because of the limitations of the IoT devices in energy and computational capacity. Most of the LPWAN standards, such as Sigfox, NB-IoT, and Weightless, use static keys for node authentication and encryption. LoRaWAN is the only LPWAN technology providing session key mechanisms for better security. However, the session key mechanism is vulnerable to replay attacks.
  • 509
  • 22 Jul 2022
Topic Review
Surface Defect Detection and Identification Methods on Leather
Genuine leather manufacturing is a multibillion-dollar industry that processes animal hides from varying types of animals such as sheep, alligator, goat, ostrich, crocodile, and cow. Due to the industry’s immense scale, there may be numerous unavoidable causes of damages, leading to surface defects that occur during both the manufacturing process and the bovine’s own lifespan. Owing to the heterogenous and manifold nature of leather surface characteristics, great difficulties can arise during the visual inspection of raw materials by human inspectors. To mitigate the industry’s challenges in the quality control process, there is a growing interest in leveraging artificial intelligence (AI) and computer vision techniques for automated and accurate leather surface defect detection.
  • 508
  • 21 Aug 2023
Topic Review
Nepal Risk Reduction Consortium
The Nepal Risk Reduction Consortium (NRRC) was launched by the Government of Nepal (GoN) and a group of international organizations working to promote the UN International Strategy for Disaster Reduction (ISDR) in 2009. It exists to bridge the spectrum of development and humanitarian partners in order to support the Government of Nepal in taking action to implement long-term Disaster risk reduction (DRR). The founding members of the NRRC were the Asian Development Bank (ADB), the International Federation of the Red Cross and Red Crescent Societies (IFRC), the United Nations Development Programme (UNDP), the UN Office for the Coordination of Humanitarian Affairs (OCHA), the UN International Strategy for Disaster Reduction (ISDR) and the World Bank. Since 2009, new NRRC members have included AusAid, the Department for International Development (DFID), the Humanitarian Aid Department of the European Commission (ECHO), the embassy of Japan, the US Embassy and the World Health Organization (WHO). The NRRC has developed a Disaster Risk Reduction Action Plan that builds on the GoN National Strategy for Disaster Risk Management (NSDRM). Based on consultations with key stakeholders to identify disaster risk reduction priorities that are urgent and viable, five flagship areas were identified and proposed. Consortium members act as coordinators of these flagship areas together with the relevant Government Ministry. Location: P.O. Box 107 Kathmandu, Nepal
  • 507
  • 01 Nov 2022
Topic Review
Editorialization
Editorialization refers to all operations of organization and structuring of content on the web, and more broadly in the digital environment. Characterized as a continuous process (in time) and open (in space), the concept of editorialization allows to clarify the processes of production, diffusion and validation of knowledge, specific to the digital environment. Editorialization is therefore a key concept in the understanding of digital culture and its epistemological turn.
  • 507
  • 01 Dec 2022
Topic Review
Glossary of Library and Information Science
This page is a glossary of library and information science.
  • 506
  • 28 Sep 2022
Topic Review
Phase Field Models
A phase field model is a mathematical model for solving interfacial problems. It has mainly been applied to solidification dynamics, but it has also been applied to other situations such as viscous fingering, fracture mechanics,, hydrogen embrittlement, and vesicle dynamics. The method substitutes boundary conditions at the interface by a partial differential equation for the evolution of an auxiliary field (the phase field) that takes the role of an order parameter. This phase field takes two distinct values (for instance +1 and −1) in each of the phases, with a smooth change between both values in the zone around the interface, which is then diffuse with a finite width. A discrete location of the interface may be defined as the collection of all points where the phase field takes a certain value (e.g., 0). A phase field model is usually constructed in such a way that in the limit of an infinitesimal interface width (the so-called sharp interface limit) the correct interfacial dynamics are recovered. This approach permits to solve the problem by integrating a set of partial differential equations for the whole system, thus avoiding the explicit treatment of the boundary conditions at the interface. Phase field models were first introduced by Fix and Langer, and have experienced a growing interest in solidification and other areas.
  • 506
  • 25 Oct 2022
Topic Review
Automatic Diagnosis of Glaucoma from Retinal Images
Glaucoma is characterized by increased intraocular pressure and damage to the optic nerve, which may result in irreversible blindness. The drastic effects of this disease can be avoided if it is detected at an early stage. However, the condition is frequently detected at an advanced stage in the elderly population. Therefore, early-stage detection may save patients from irreversible vision loss. The manual assessment of glaucoma by ophthalmologists includes various skill-oriented, costly, and time-consuming methods. Several techniques are in experimental stages to detect early-stage glaucoma, but a definite diagnostic technique remains elusive. The detection technique involves the identification of patterns from the retinal images that are often overlooked by clinicians. The proposed approach uses the gray channels of fundus images and applies the data augmentation technique to create a large dataset of versatile fundus images to train the convolutional neural network model. Using the ResNet-50 architecture, the proposed approach achieved excellent results for detecting glaucoma on the G1020, RIM-ONE, ORIGA, and DRISHTI-GS datasets. Researchers obtained a detection accuracy of 98.48%, a sensitivity of 99.30%, a specificity of 96.52%, an AUC of 97%, and an F1-score of 98% by using the proposed model on the G1020 dataset. The proposed model may help clinicians to diagnose early-stage glaucoma with very high accuracy for timely interventions.
  • 506
  • 25 May 2023
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