Deep-Confidentiality : An IoT-Enabled Privacy-Preserving Framework for Unstructured Big Biomedical Data

Due to the Internet of Things evolution, the clinical data is exponentially growing and using smart technologies. The generated big biomedical data is confidential, as it contains a patient’s personal information and findings. Usually, big biomedical data is stored over the cloud, making it convenient to be accessed and shared. In this view, the data shared for research purposes helps to reveal useful and unexposed aspects. Unfortunately, sharing of such sensitive data also leads to certain privacy threats. Generally, the clinical data is available in textual format (e.g., perception reports). Under the domain of natural language processing, many research studies have been published to mitigate the privacy breaches in textual clinical data. However, there are still limitations and shortcomings in the current studies that are inevitable to be addressed. In this article, a novel framework for textual medical data privacy has been proposed as Deep-Confidentiality . The proposed framework improves Medical Entity Recognition (MER) using deep neural networks and sanitization compared to the current state-of-the-art techniques. Moreover, the new and generic utility metric is also proposed, which overcomes the shortcomings of the existing utility metric. It provides the true representation of sanitized documents as compared to the original documents. To check our proposed framework’s effectiveness, it is evaluated on the i2b2-2010 NLP challenge dataset, which is considered one of the complex medical data for MER. The proposed framework improves the MER with 7.8% recall, 7% precision, and 3.8% F1-score compared to the existing deep learning models. It also improved the data utility of sanitized documents up to 13.79%, where the value of the k is 3.

Designing Post COVID-19 Buildings: Approaches for Achieving Healthy Buildings

The COVID-19 pandemic forced the accessibility, social gathering, lifestyle, and working environment to be changed to reduce the infection. Coronavirus spreads between people in several different ways. Small liquid particles (aerosols, respiratory droplets) from an infected person are transmitted through air and surfaces that are in contact with humans. Reducing transmission through modified heating, ventilation, and air conditioning (HVAC) systems and building design are potential solutions. A comprehensive review of the engineering control preventive measures to mitigate COVID-19 spread, healthy building design, and material was carried out. The current state-of-the-art engineering control preventive measures presented include ultraviolet germicidal irradiation (UVGI), bipolar ionization, vertical gardening, and indoor plants. They have potential to improve the indoor air quality. In addition, this article presents building design with materials (e.g., copper alloys, anti-microbial paintings) and smart technologies (e.g., automation, voice control, and artificial intelligence-based facial recognition) to mitigate the infections of communicable diseases.

Is There a Smart Sustainability Transition in Manufacturing? Tracking Externalities in Machine Tools over Three Decades

Only one third of studies on the Industry 4.0–sustainability link have been conducted in manufacturing, despite its centrality to “ensuring sustainable consumption and production patterns” (UN Sustainable Development Goal nr. 12). The European Ecodesign Directive singled out machine tools as key to the sustainability transition, not least due to their high energy usage and their increasingly becoming enmeshed in cyber-physical production systems. This paper aims to find out whether the digital transformation underway in machine tools is sustainable as well as to identify its central technological pathways. Externalities in machine tools are tracked over three decades (1990–2018) by means of a multi-method setting: (1) mapping the Technological Innovation System (TIS) of machine tools; (2) co-occurrence analysis of transnational patent families, in order to reduce geographical and market distortions (Questel’s FAMPAT); and (3) analysis of the incidence of digital and sustainable technologies in machine tools patent applications (WIPO PATENTSCOPE). A smart sustainability transition is currently not hampered by a lack of smart technologies but rather by the sluggish introduction of sustainable machine tools. Cyber-physical and robot machine tools have been found to be central pathways to a smart sustainability transition. Implications for harnessing externalities reach beyond the machine tools industry.

Co-creation methodology with Smart technologies in Health and well-being to enable communication between isolated and disperse small communities: a literature review

Objective: The objective is to determine reported cases of co-creation methodology about the use of smart technologies in public spaces in order to create new forms of social interactions and practices, which in turn creates new socio-spatial relations and promotes interactions and communication between isolated and disperse communities. Methods: The literature published in the last 5 years (2016-2020) has been reviewed. Searches on Co-creation methodology and ICTs in Health and Biomedicine, on topics such as interaction among users, ICT and social behaviour, spatial analyses, planning methodologies and public involvement, on-line gaming, self‐learning, and the prevention of risky habbits are made manually. Results: Search strategies developed through electronic databases and manual search identified a total of 180 references, included in the supplementary material. They have been divided by the technologies used in the studies, co-creation methodology, and according to the type of socio-medical application. This research highlights the penetration of ICT in social and healthcare environments and clearly demonstrates the high number of publications that have come out over recent years and a lack of publications that evaluate co-creation methodology in this field. Conclusions: Most of the papers included only partially cover the subject matter of ICT in Health and Biomedicine and how to use smart technologies to transform public spaces in small communities into people-friendly human environments. The research carried out for this paper clearly demonstrates the high number of publications concerning technology assessment. However, there is a distinct lack of publications that evaluate co-creation methodology.

Impact of Smart Technologies on the Lives of Citizens

This chapter presents an overview of smart technologies with description of using them in smart ways. It also explains the role of government flexibility as well as economic opportunity in developing smart cities. The direct and in direct impact of using smart technology on the life of citizens in a city are identified, covering the modalities as well as the enablers of such impacts. The chapter proceeds to examine the seven sectors essential of smart cities: healthcare, environment and public health, mobility and transport, energy, water, education, and security. For each sector, the significance of “smartness” is addressed with examples of how with digital transformation and usage of smart technologies citizens can greatly benefit. In general, this chapter acts as the main link between understanding smart technologies and sensors to actually employ them to enable smart living for citizens.

A City for Smart Technology Transformation

The main purpose of this chapter is to present how a smart city is governed, managed, and operated. It describes smart city governance and identifies the special relation the government of the city would have with the citizens as well as communities. In addition, governance considerations related to operations are described, including critical city government challenges. The second important topic in this chapter is the City-Citizens Relations highlighting urban growth, needed investments, and role of smart technologies in the city development. In addition, other issues include strategic goals of smart cities, strategic framework for city governments, and financing smart city projects.

State of the Art of Smart Technologies

Smart cities rely on smart technologies in all their possible forms; hence, this chapter is focusing on the state of the art of smart technologies. It describes these smart devices in all their ways and forms. In addition, techniques of software applications that are embedded in these smart devices are described along with their capabilities to adapt automatically and modify behavior to fit a user's environment. A smart city paradigm is also presented that focuses on sensors, smart devices, smart service provider subsystems, and smart sector infrastructure. A broader model of smart cities is discussed, and the chapter provides concrete goals, infrastructure, domains, and constituents. The chapter concludes by examining operation features such as the industrial setting, ubiquity, throughput, channels, and interoperability.

The Role of Smart Technologies to Support Citizen Engagement and Decision Making

Smart government relies both on the application of digital technologies to enable citizen's participation in order to achieve a high level of citizen centricity and on data-driven decision making in order to improve the quality of life of citizens. Data-driven decisions in turn depend on accessible and reliable datasets, which open government and social media data are likely to promise. The SmartGov project uses digital technologies by integrating open and social media data in Fuzzy Cognitive Maps to model real life problems and simulate different scenarios leading to better decision making. This research performed a multiple-case analysis in two pilot cities. Both municipalities use the technologies to find the best routes: Limassol to improve the garbage collection and Quart de Poblet to improve the walking routes of chaperones guiding children to school. The article proposes a generic framework for Smart City Governance focusing on the inputs and outcomes of this process in the use of technologies for policy making built based on the analysis of the SmartGov.