Topic Review
YOLO-Based Unmanned Aerial Vehicle Technology
YOLO-based unmanned aerial vehicle (UAV) technology is proposed in the context of interdisciplinary or multi-disciplinary collaborative research, by the cross-fertilization of You Only Look Once (YOLO) target detection algorithms and UAV technology. In this YOLO-based UAV technology, the UAV can provide more application scenarios for the YOLO algorithm, while the YOLO algorithm can assist the UAV with more novel tasks. The two can complement each other to further facilitate people's daily lives while contributing to the productivity of their respective industries.
  • 635
  • 06 Apr 2023
Topic Review
XR, Vision Impairments and Empathy
Across the world, an increasing number of people experience vision impairments or blindness. For people with healthy eyes, it may be difficult to discern how the world looks to a person with impaired eyesight. Medical explanations in books and articles, descriptions from patients, and 2D images of impaired vision are often insufficient to communicate the negative effects of vision impairments and to truly make someone understand how the world looks through the eyes of a visually impaired person. Relatives, employers, and even the medical providers of those impacted by eye diseases may benefit from simulations of vision impairments, to increase understanding, sympathy, and empathy. Research on digital vision-impairment simulations has increased. With the rise of emerging technologies such as extended reality (XR), simulations can now be made more realistic and immersive than ever before. This document provides a comprehensive overview of the state-of-the-art in simulating vision impairments using a variety of hardware and software solutions that address different conditions and impairments. It also discusses the role of XR solutions in increasing sympathy and empathy for people with vision impairments.
  • 276
  • 15 Nov 2023
Topic Review
Women’s Contribution in Computer Science
The presence of women in teams seem to increase collective intelligence, and if those women have decision making positions, success probabilities increase in startups. When women are not involved in designing products and addressing social and political problems, then needs and desires unique to women may be overlooked. 
  • 375
  • 30 Jun 2022
Topic Review
Wireless Technologies for Social Distancing in COVID-19 Pandemic
So-called “social distance” refers to measures that work to prevent disease spread through minimizing human physical contact frequency and intensity, including the closure of public spaces (e.g., schools and offices), avoiding large crowds, and maintaining a safe distance between individuals. Because it reduces the likelihood that an infected person would transmit the illness to a healthy individual, social distance reduces the disease’s progression and impact. During the early stages of a pandemic, social distancing techniques can play a crucial role in decreasing the infection rate and delaying the disease’s peak. Consequently, the load on healthcare systems is reduced, and death rates are reduced. The concept of social distancing may not be as easy as physical distancing, given the rising complexity of viruses and the fast expansion of social interaction and globalization. It encompasses numerous non-pharmaceutical activities or efforts designed to reduce the spread of infectious diseases, including monitoring, detection, and alerting people. Different technologies can assist in maintaining a safe distance (e.g., 1.5 m) between persons in the adopted scenarios. There are a number of wireless and similar technologies that can be used to monitor people and public locations in real-time.
  • 705
  • 25 Mar 2022
Topic Review
Wireless Sensor Networks Architecture
Wireless sensor networks (WSNs) have taken a giant leap in scale, expanding their applicability to a large variety of technological domains and applications, ranging from the Internet of things (IoT) for smart cities and smart homes to wearable technology healthcare applications, underwater, agricultural and environmental monitoring and many more. This expansion is rapidly growing every passing day in terms of the variety, heterogeneity and the number of devices which such applications support. Data collection is commonly the core application in WSN and IoT networks, which are typically composed of a large variety of devices, some constrained by their resources (e.g., processing, storage, energy) and some by highly diverse demands. Many challenges span all the conceptual communication layers, from the Physical to the Applicational. In addition, the integrated unit architecture and the platform design can be subject to various stringent constraints. For example, size requirements can impose a strict constraint on the device design; low power consumption, low production cost, and self-operation can represent additional constraints.  Accordingly, the device architecture is fundamental and affects many other factors in the system. For example, power supply affects the life span; it also affects transmission range, memory, and processing unit, which in turn can affect the algorithms that can be executed on the device, etc.
  • 2.1K
  • 12 Apr 2022
Topic Review
Wireless Sensor Networks
Wireless sensor networks (WSNs) are spatially scattered networks equipped with an extensive number of nodes to check and record different ecological states such as humidity, temperature, pressure, and lightning states. WSN network provides different services to a client such as monitoring, detection, and runtime decision-making against events occurrence.
  • 1.5K
  • 02 Nov 2021
Topic Review
Wildlife Detection with Drones
With the impacts of global climate change and habitat loss, wild animals are facing unprecedented threats to their survival. For instance, rising temperatures, increased extreme weather events, and rising sea levels all pose threats to the survival of wildlife. The global urbanization and agricultural expansion have led to large-scale habitat destruction and loss. This has deprived many wild animals of places to live and breed. Moreover, the decline of biodiversity has also exacerbated human concerns about environmental sustainability. As a result, the issue of wildlife conservation has received extensive international attention. In this context, governments and international organizations have taken various initiatives in an attempt to curb the decline of wildlife populations and to improve the efficiency of conservation through the use of scientific and technological means. Drones are widely used for wildlife monitoring. Deep learning algorithms are key to the success of monitoring wildlife with drones, although they face the problem of detecting small targets.
  • 157
  • 12 Oct 2023
Topic Review
Water Quality Monitoring System Using LoRaWAN
For effective process monitoring and enhanced control in wide areas, reliable and accurate real-time measuring is essential. LoRa, a low-power, wide-area network modulation technology (LPWAN), refers to long-range data communications. LoRa allows for long-range communications of up to three miles or five kilometers in urban areas and up to ten miles or 15 km in rural areas. The ultra-low power requirements of LoRa-based systems are a crucial feature, allowing for the design of battery-operated devices that can last up to 10 years. A star network based on the open LoRaWAN protocol is suitable for an implementation scheme that needs long-range or deep in-building communication.
  • 1.1K
  • 29 Jun 2022
Topic Review
Warning Systems in Cloud Computing Early Warning Systems
An early warning system (EWS) is an integrated system that facilitates preparedness and response mechanisms through the dissemination of early warning to reduce the impact of a natural disaster. An early warning system is an indispensable tool that helps save lives and reduce the impact of disasters on any infrastructure, such as roads, buildings, farmlands, etc. It has been estimated that USD 800 million is spent annually to develop and operationalize EWSs in developing countries that lack the requisite resources to mitigate the impact of any natural disaster.
  • 157
  • 22 Sep 2023
Topic Review
VR Social Skills Training in Autism Spectrum Disorder
Poor social skills in autism spectrum disorder (ASD) are associated with reduced independence in daily life. Current interventions for improving the social skills of individuals with ASD fail to represent the complexity of real-life social settings and situations. Virtual reality (VR) may facilitate social skills training in social environments and situations similar to those in real life; however, more research is needed to elucidate aspects such as the acceptability, usability, and user experience of VR systems in ASD. Twenty-five participants with ASD attended a neuropsychological evaluation and three sessions of VR social skills training, which incorporated five social scenarios with three difficulty levels. Participants reported high acceptability, system usability, and user experience. Significant correlations were observed between performance in social scenarios, self-reports, and executive functions. Working memory and planning ability were significant predictors of the functionality level in ASD and the VR system’s perceived usability, respectively. Yet, performance in social scenarios was the best predictor of usability, acceptability, and functionality level. Planning ability substantially predicted performance in social scenarios, suggesting an implication in social skills. Immersive VR social skills training in individuals with ASD appears to be an appropriate service, but an errorless approach that is adaptive to the individual’s needs should be preferred.
  • 192
  • 21 Jul 2023
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