A Systematic Review of the Literature on Living Labs in Higher Education Institutions:Potentials and Constraints

Living labs (LLs) have emerged as an interface for higher education institutions to collaborate with companies, citizens, non-profit and government organizations to address a variety of problems around social challenges and sustainable development. In this systematic literature review, we summarize the existing knowledge on how universities shape and manage the LLs they are associated with and how they align with their core missions of education and research and—in particular—their social missions. Following PRISMA guidelines for a systematic literature review (SLR), we analyzed journal articles, conference papers, and book chapters published between 2008 and 2020, capturing 93 university-governed LL experiences from across the world. Our findings show that LLs are developing from bottom-up initiatives, often at the fringe of higher education institutions, towards more self-standing entities implementing strategies to undertake social outreach activities. LLs require their host universities to intensify the relationships with their stakeholders and work on capacity building and focus on inter- and transdisciplinary research methodologies. Finally, our literature review points to the need for further research on the hybrid governance approaches displayed by LLs, particularly looking at the roles and responsibilities of academics involved in managing LL initiatives

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective

A Generic Construction for Verifiable Attribute-based Keyword Search Schemes

Cloud data owners encrypt their documents before outsourcing to provide their privacy. They could determine a search control policy and delegate the ability of search token generation to the users whose attributes satisfy the search control policy. Verifiable attribute-based keyword search (VABKS) where the users can also verify the accuracy of cloud functionality is one of such schemes. In this paper, the first generic construction for VABKS is proposed. To this end, the notion of hierarchical identity-based multi-designated verifier signature (HIB-MDVS) has been introduced and existential forgery under chosen message attack (EF-CMA) is formally defined for its unforgeability. Furthermore, anonymity against chosen identity vector set and chosen plaintext attack (Anon-CIVS-CPA) has been defined as the security definition of hierarchical identity-based broadcast encryption (HIBBE) in a formal way. The proposed construction is built in a modular structure by using HIBBE, HIB-MDVS, and Bloom filter as the building blocks. We prove that the security of proposed construction is based on the unforgeability of HIB-MDVS and the anonymity of HIBBE. Finally, the concept of verifiable ranked keyword search will be introduced and a construction of this primitive will be presented which is based on proposed VABKS

Computational intelligence approaches to robotics, automation, and control [Volume guest editors]

No abstract available

Model kesesuaian perancangan elemen keselamatan fizikal komuniti berpagar dan kejiranan berpengawal

Gated communities and guarded neighbourhoods are considered to be one of the best recent developments that contribute to the security of urban populations. Several issues frequently arise concerning the physical planning of gated communities and guarded neighbourhoods, such as the construction of unauthorised guard houses, the size of fences or the construction of physical barriers to meet security requirements. Many constructions within gated communities and guarded neighbourhoods do not incorporate the basic principles of Crime Prevention through Environmental Design (CPTED) in drawing up security elements to control crime. In this study, a model to enhance the preparedness in physical security elements in gated communities and guarded neighbourhoods integrating Multi-Criteria Decision Analysis (MCDA) and Geographic Information System (GIS) is presented. This approach in integrating MCDA and GIS improves the result analysis to identify gated residential communities and guarded neighbourhoods that are best planned in terms of physical security, as well as the actual level of security achieved. The integration of MCDA and GIS facilitates the resolution of various problems associated with the planning and management of gated communities and guarded neighbourhoods. In particular, the adoption of GIS more precisely elucidates the specific planning requirements for the improvement of such communities. The additional benefits obtained through GIS modelling include proposals and standards that are appropriate to the particular gated and guarded community according to its classification and suitability. With such standards in place, a mechanism for the development of policies and guidelines can be established to achieve the best results in the planning and implementation of security features for gated communities and guarded neighbourhoods of the future

Image and Video Forensics

Nowadays, images and videos have become the main modalities of information being exchanged in everyday life, and their pervasiveness has led the image forensics community to question their reliability, integrity, confidentiality, and security. Multimedia contents are generated in many different ways through the use of consumer electronics and high-quality digital imaging devices, such as smartphones, digital cameras, tablets, and wearable and IoT devices. The ever-increasing convenience of image acquisition has facilitated instant distribution and sharing of digital images on digital social platforms, determining a great amount of exchange data. Moreover, the pervasiveness of powerful image editing tools has allowed the manipulation of digital images for malicious or criminal ends, up to the creation of synthesized images and videos with the use of deep learning techniques. In response to these threats, the multimedia forensics community has produced major research efforts regarding the identification of the source and the detection of manipulation. In all cases (e.g., forensic investigations, fake news debunking, information warfare, and cyberattacks) where images and videos serve as critical evidence, forensic technologies that help to determine the origin, authenticity, and integrity of multimedia content can become essential tools. This book aims to collect a diverse and complementary set of articles that demonstrate new developments and applications in image and video forensics to tackle new and serious challenges to ensure media authenticity

Efficiency, Fairness and Sustainability in Social Housing Policy and Projects

The provision of affordable housing for low-income households is a very complex issue that has long been debated in many countries around the world. Social housing (SH) is one of the tools for achieving fairness, social sustainability, and economic feasibility, and it is interrelated with politics, ethics, and economics, as well as the environment, architecture, and technology. In other words, national and local policies, as well as public and private financial resources, are all needed to provide SH.SH also involves social and urban transformations and is, consequently, linked to urban planning and redevelopment projects, real estate market dynamics, and cooperation between public and private stakeholders. Furthermore, decision-making on SH policies and projects has to be supported by assessments of economic feasibility and social and environmental sustainability.This volume presents studies on various topics to recompose the multi-faceted subjects of social housing within a unified framework

Sustainable | Sustaining City Streets

Streets are an integral part of every city on Earth. They channel the people, vehicles, and materials that help make urban life what it is. They are conduits for the oft-taken-for-granted infrastructures that carry fresh water, energy, and information, and that remove excess stormwater and waste. The very air that we breathe—fresh or foul—flows through our street canyons. That streets are the arteries of the city is, indeed, an apt metaphor. But city streets also function as a front yard, linear ecosystem, market, performance stage, and civic forum, among other duties. In their various forms, streets are places of interaction and exchange, from the everyday to the extraordinary. As the editors affirm, the more we scrutinize, share, and activate sustainable approaches to streets, the greater the likelihood that our streets will help sustain life in cities and, by extension, the planet. While diverse in subject, the papers in this volume are unified in seeing the city street as the complex, impactful, and pliable urban phenomenon that it is. Topics range from greenstreets to transit networks to pedestrian safety and walkability. Anyone seeking interdisciplinary perspectives on what makes for good city streets and street networks should find this book of interest