Improved mask detection based on YOLOv5s

COVID-19 epidemic is not over. The correct wearing of masks can effectively prevent the spread of the virus. Aiming at a series of problems of existing mask-wearing detection algorithms, such as only detecting whether to wear or not, being unable to detect whether to wear correctly, difficulty in detecting small targets in dense scenes, and low detection accuracy, It is suggested to use a better algorithm based on YOLOv5s. It improves the generalization and transmission performance of the model by changing the ACON activation function. Then Bifpn is used to replace PAN to effectively integrate the target features of different sizes extracted by the network. Finally, To enable the network to pay attention to a wide area, CA is introduced to the backbone. This embeds the location information into the channel attention. © 2023 SPIE.

Research and Development for Pioneering a New Communications Paradigm with Wide-area Coverage

Research and development at NTT Network Innovation Laboratories aims to establish elemental technologies for next-generation communication networks envisioned under NTT's Innovative Optical and Wireless Network (IOWN) and the 6th-generation mobile communication system (6G). These technologies, which include advanced and high-capacity backbone optical transmission networks and extended coverage of wireless communications, are being developed to support dramatic changes in the information society such as the expansion of remote work due to the COVID-19 pandemic. This article introduces optical/wireless transmission technologies and systemization technologies currently being researched and developed at NTT Network Innovation Laboratories. © 2022 Authors. All rights reserved.

Around the Circuit

The article presents the discussion on world news briefs. Topics include Infinite Electronics Inc., a global supplier of electronic components serving the needs of customers through a family of highly recognized and trusted brands;and Pharrowtech, a growing market leader in mmWave solutions for next-generation wireless applications.

Ecosistemi domestici intelligenti per l'utenza fragile

Si dettaglia l'evoluzione del prototipo IDEAs (Intelligent Domestic Ecosystem for an Ageing Society) quale modello abitativo integrato da un sistema finalizzato al monitoraggio e supporto delle attivita di vita quotidiane dell'anziano fragile. Dal punto di vista trans-scalare, appare utile ridefinire la smart city in chiave cittadino-centrica: «una citta si puo definire smart quando gli investimenti nel capitale umano e sociale, nelle infrastrutture di collegamento e informatiche alimentano uno sviluppo economico sostenibile che preveda un'alta quality della vita e una gestione oculata delle risorse, all'interno di processi decisionali partecipativi» (Magaro et al., 2020). Le smart homes implicano YInternet of Things (IoT), espressione attribuita a Kevin Ashton del Massachusetts Institute of Technology: alla fine degli anni Novanta, egli sosteneva che una nuova generazione di computer avrebbe utilizzato le reti per lo scambio di informazioni tra le cose (Ashton, 2009). La smart home si caratterizza per la presenza di reti multilivello (Fig. 2) (Marcelino et al., 2018): - BAN, (Body Area Network), attraverso la quale una serie di sensori scambiano dati;- HAN, (Home Area Network) che supporta l'IoT;- WAN, (Wide Area Network) e la rete di prossimita tra l'abitazione, il vicinato e sistema sanitario nazionale. Il prototipo prendera il nome di IDEAs (Intelligent Domestic Ecosystem for an Ageing Society).

Library Services during COVID-19 Pandemic: A Bibliometric Analysis and knowledge Mapping

The increased usage of libraries during the Covid-19 pandemic has been well known to science communicators, but scientific communication has not evaluated the distributions of its published findings. Thus, this study intends to identify and map library services in international publishing, particularly the Scopus database during the pandemic. Sixty-four publications in the Scopus database were assessed using the bibliometric approach and fifty-seven documents are considered. To find documents from January 2020-June 2021, the author utilized keywords such as library services AND covid-19. Microsoft excels and VOSviewer software was used to analyze the result and visualize the knowledge map. The results showed that most of the papers are dealt with favorable and adoptive library services techniques, implementation of different users demands during the pandemic. The study found the most prolific authors. Rafiq, M., Batool, S. H., Ali, A. F., & Ullah, M. received a maximum of 20 citations from a single document and Michalak R., Ortiz-Díaz E.M., Pacheco-Mendoza J., Rysavy M.D.T., Saavedra-Alamillas C. published 2 documents each. The United States of America is ranked top to publish the scholarly publication on the Library Services during the COVID-19 related documents with 21 documents. India is in the 2nd rank with eight papers, followed by Pakistan, China, Nigeria, Peru, and South Korea. As a result, publications concerning this topic have a high likelihood of emerging. The most frequent terms used by authors are COVID-19(22.90%), library services (7.01%), academic libraries (5.61%). The shift towards advanced virtual and digital services offers more than just boosting librarians and library patrons;it serves as a move to keep the library relevant in a tech-centered society.

The Social Data Foundation model: Facilitating health and social care transformation through datatrust services

Turning the wealth of health and social data into insights to promote better public health, while enabling more effective personalized care, is critically important for society. In particular, social determinants of health have a significant impact on individual health, well-being, and inequalities in health. However, concerns around accessing and processing such sensitive data, and linking different datasets, involve significant challenges, not least to demonstrate trustworthiness to all stakeholders. Emerging datatrust services provide an opportunity to address key barriers to health and social care data linkage schemes, specifically a loss of control experienced by data providers, including the difficulty to maintain a remote reidentification risk over time, and the challenge of establishing and maintaining a social license. Datatrust services are a sociotechnical evolution that advances databases and data management systems, and brings together stakeholder-sensitive data governance mechanisms with data services to create a trusted research environment. In this article, we explore the requirements for datatrust services, a proposed implementation—the Social Data Foundation, and an illustrative test case. Moving forward, such an approach would help incentivize, accelerate, and join up the sharing of regulated data, and the use of generated outputs safely amongst stakeholders, including healthcare providers, social care providers, researchers, public health authorities, and citizens.