IoT Platform for COVID-19 Prevention and Control: A Survey

As a result of the worldwide transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), coronavirus disease 2019 (COVID-19) has evolved into an unprecedented pandemic. Currently, with unavailable pharmaceutical treatments and vaccines, this novel coronavirus results in a great impact on public health, human society, and global economy, which is likely to last for many years. One of the lessons learned from the COVID-19 pandemic is that a long-term system with non-pharmaceutical interventions for preventing and controlling new infectious diseases is desirable to be implemented. Internet of things (IoT) platform is preferred to be utilized to achieve this goal, due to its ubiquitous sensing ability and seamless connectivity. IoT technology is changing our lives through smart healthcare, smart home, and smart city, which aims to build a more convenient and intelligent community. This paper presents how the IoT could be incorporated into the epidemic prevention and control system. Specifically, we demonstrate a potential fog-cloud combined IoT platform that can be used in the systematic and intelligent COVID-19 prevention and control, which involves five interventions including COVID-19 Symptom Diagnosis, Quarantine Monitoring, Contact Tracing & Social Distancing, COVID-19 Outbreak Forecasting, and SARS-CoV-2 Mutation Tracking. We investigate and review the state-of-the-art literatures of these five interventions to present the capabilities of IoT in countering against the current COVID-19 pandemic or future infectious disease epidemics.Comment: 12 pages; Submitted to IEEE Internet of Things Journa

Ambiguity resolution of single frequency GPS measurements

This thesis considers the design of an autonomous ride-on lawnmower, with particular attention paid to the problem of single frequency Global Navigation Satellite System (GNSS) ambiguity resolution. An overall design is proposed for the modification of an existing ride-on lawnmower for autonomous operation. Ways of sensing obstacles and the vehicle's position are compared. The system's computer-to-vehicle interface, software architecture, path planning and control algorithms are all described. An overview of satellite navigation systems is presented, and it is shown that existing high precision single frequency GNSS receivers often require time-consuming initialisation periods to perform ambiguity resolution. The impact of prior knowledge of the topography is analysed. A new algorithm is proposed, to deal with the situation where different areas of the map have been mapped at different levels of precision. Stationary and kinematic tests with real-world data demonstrate that when the map is sufficiently precise, substantial improvements in initialisation time are possible. Another algorithm is proposed, using a noise-detecting acceptance test taking data from multiple receivers on the same vehicle (a GNSS com- pass configuration). This allows a more demanding threshold to be used when noise levels are high, and a less demanding threshold to be used at other times. Tests of this algorithm reveal only slight performance improvements. A final algorithm is proposed, using Monte Carlo simulation to account for time-correlated noise during ambiguity resolution. The method allows a fixed failure rate configuration with variable time, meaning no ambiguities are left floating. Substantial improvements in initialisation time are demonstrated. The overall performance of the integrated system is summarised, conclusions are drawn, further work is proposed, and limitations of the techniques and tests performed are identified

A Real-Time Positioning System of Manufacturing Carriers Deploying Wireless MEMS Accelerometers and Gyroscopes

Modern manufacturing systems face ever-increasing pressure to maximize efficiency of production processes, minimize downtime due to unexpected deviations from normal operation, and maintain agility in dynamic market conditions. Detailed, real-time asset tracking is essential for achieving these goals. Pallets are widely-used for transporting raw materials, intermediate products, and final products in automated assembly and manufacturing lines. A sophisticated pallet monitoring system can provide possibilities for optimizing pallet routing in real time, enable dynamic scheduling changes, and historical traceability required for error diagnosis and repair. Traditionally, pallets are monitored by networks of sensors, such as RFID readers or proximity sensors to collect location data. These sensor networks are rarely dense enough to provide precise continuous data about pallet location. Real-time pallet tracking data is thus limited to recording timestamps at static checkpoints. This thesis presents an asset-aware management tool for continuous pallet location monitoring based on event logs obtained from intelligent wireless devices embedded in each pallet. Each wireless device, equipped with a 3-axis accelerometer and a 3-axis gyroscope, provides accurate information about pallet movement. The raw sensor data is pre-processed into an event stream, which is sent to a server over a 6LoWPAN network. The software developed in this research implements an algorithm for processing event logs to determine exact pallet location using artificial intelligence techniques. Calculated pallet position can be provided to high-level enterprise systems, and to manufacturing execution systems for use in scheduling, routing, and visualization of the production line. Designing the SCADA system was also part of this thesis. The solution was successfully deployed in the FASTory, a 12-cell light assembly line in the Factory Automation Systems and Technologies Laboratory (FAST-lab.) at Tampere University of Technology, as part of eSONIA, a European Commission-cofunded research project on using service-enabled embedded devices for realizing an asset-aware, self-recovering plant. The proposed solution demonstrates a novel approach for continuous, real-time pallet location tracking based on wireless sensors

Convex modeling with priors

Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2006.Includes bibliographical references (leaves 159-169).As the study of complex interconnected networks becomes widespread across disciplines, modeling the large-scale behavior of these systems becomes both increasingly important and increasingly difficult. In particular, it is of tantamount importance to utilize available prior information about the system's structure when building data-driven models of complex behavior. This thesis provides a framework for building models that incorporate domain specific knowledge and glean information from unlabeled data points. I present a methodology to augment standard methods in statistical regression with priors. These priors might include how the output series should behave or the specifics of the functional form relating inputs to outputs. My approach is optimization driven: by formulating a concise set of goals and constraints, approximate models may be systematically derived. The resulting approximations are convex and thus have only global minima and can be solved efficiently. The functional relationships amongst data are given as sums of nonlinear kernels that are expressive enough to approximate any mapping. Depending on the specifics of the prior, different estimation algorithms can be derived, and relationships between various types of data can be discovered using surprisingly few examples.(cont.) The utility of this approach is demonstrated through three exemplary embodiments. When the output is constrained to be discrete, a powerful set of algorithms for semi-supervised classification and segmentation result. When the output is constrained to follow Markovian dynamics, techniques for nonlinear dimensionality reduction and system identification are derived. Finally, when the output is constrained to be zero on a given set and non-zero everywhere else, a new algorithm for learning latent constraints in high-dimensional data is recovered. I apply the algorithms derived from this framework to a varied set of domains. The dissertation provides a new interpretation of the so-called Spectral Clustering algorithms for data segmentation and suggests how they may be improved. I demonstrate the tasks of tracking RFID tags from signal strength measurements, recovering the pose of rigid objects, deformable bodies, and articulated bodies from video sequences. Lastly, I discuss empirical methods to detect conserved quantities and learn constraints defining data sets.by Benjamin Recht.Ph.D

On improvements in metal oxide based flexible transistors through systematic evaluation of material properties

Thin-film metal oxide (MOx) semiconductors have opened the way to a new generation of electronics based on their unique properties. With mobilities, mu, of up to 80 cm2V-1s-1, metal oxides do not rival crystalline silicon (mu~1000 cm2V-1s-1) for complex applications. But such oxides do have three unique characteristics driving great interest: their mobilities persist in the amorphous form, contrary to the thousandfold drop seen in silicon; they are transparent; and they can be processed at, or near, room temperature. Most work on MOx semiconductors, in particular indium gallium zinc oxide (IGZO), has focused on display applications, where MOx thin-film transistors (TFTs) are used to drive individual pixels, reducing power consumption by blocking less light than alternatives, and allowing smaller pixels due to reduced TFT sizes. Such work has seen great advances in IGZO, but has generally not considered the thermal budget during production. By utilising the low temperature processing possible with MOx, a new world of applications becomes possible: flexible electronics. This work aims to improve the characteristics of TFTs based on amorphous IGZO (a-IGZO) through detailed study of the thin-film structure in relation to functional performance, looking at the material structure of three critical layers in an a-IGZO TFT. A study of optimisation of a dielectric layer of Al2O3, deposited by atomic layer deposition (ALD), is presented. This dielectric, between the a-IGZO and the gate electrode, shows a three-layer substructure in what has previously been regarded as a single homogeneous layer. A study of the insulating Al2O3 buffer layer below the a-IGZO compared the properties of Al2O3 deposited by ALD and sputtering. Sputtered material has a more complex structure than ALD, consisting of multiple sublayers that correlate with the sputtering process. The structure of the two materials is discussed, and the impact on device performance considered. A detailed systematic study of the effects of annealing of a-IGZO shows a strong dependence of the density on both time and temperature. A two mechanism model is proposed which consists of structural relaxation of the amorphous material followed by absorption of oxygen from the environment. Finally, investigation of the influence of the buffer material on the a-IGZO, and the structure of this interface showed little difference in the growth of the a-IGZO, but did reveal some changes in the interface, while a systematic study of annealing effects on the a-IGZO-dielectric interface showed some interesting changes in this structure, both of which are likely to significantly impact the operational characteristics of TFT devices

Tangible interaction with anthropomorphic smart objects in instrumented environments

A major technological trend is to augment everyday objects with sensing, computing and actuation power in order to provide new services beyond the objects' traditional purpose, indicating that such smart objects might become an integral part of our daily lives. To be able to interact with smart object systems, users will obviously need appropriate interfaces that regard their distinctive characteristics. Concepts of tangible and anthropomorphic user interfaces are combined in this dissertation to create a novel paradigm for smart object interaction. This work provides an exploration of the design space, introduces design guidelines, and provides a prototyping framework to support the realisation of the proposed interface paradigm. Furthermore, novel methods for expressing personality and emotion by auditory means are introduced and elaborated, constituting essential building blocks for anthropomorphised smart objects. Two experimental user studies are presented, confirming the endeavours to reflect personality attributes through prosody-modelled synthetic speech and to express emotional states through synthesised affect bursts. The dissertation concludes with three example applications, demonstrating the potentials of the concepts and methodologies elaborated in this thesis.Die Integration von Informationstechnologie in Gebrauchsgegenstände ist ein gegenwärtiger technologischer Trend, welcher es Alltagsgegenständen ermöglicht, durch den Einsatz von Sensorik, Aktorik und drahtloser Kommunikation neue Dienste anzubieten, die über den ursprünglichen Zweck des Objekts hinausgehen. Die Nutzung dieser sogenannten Smart Objects erfordert neuartige Benutzerschnittstellen, welche die speziellen Eigenschaften und Anwendungsbereiche solcher Systeme berücksichtigen. Konzepte aus den Bereichen Tangible Interaction und Anthropomorphe Benutzerschnittstellen werden in dieser Dissertation vereint, um ein neues Interaktionsparadigma für Smart Objects zu entwickeln. Die vorliegende Arbeit untersucht dafür die Gestaltungsmöglichkeiten und zeigt relevante Aspekte aus verwandten Disziplinen auf. Darauf aufbauend werden Richtlinien eingeführt, welche den Entwurf von Benutzerschnittstellen nach dem hier vorgestellten Ansatz begleiten und unterstützen sollen. Für eine prototypische Implementierung solcher Benutzerschnittstellen wird eine Architektur vorgestellt, welche die Anforderungen von Smart Object Systemen in instrumentierten Umgebungen berücksichtigt. Ein wichtiger Bestandteil stellt dabei die Sensorverarbeitung dar, welche unter anderem eine Interaktionserkennung am Objekt und damit auch eine physikalische Eingabe ermöglicht. Des Weiteren werden neuartige Methoden für den auditiven Ausdruck von Emotion und Persönlichkeit entwickelt, welche essentielle Bausteine für anthropomorphisierte Smart Objects darstellen und in Benutzerstudien untersucht wurden. Die Dissertation schliesst mit der Beschreibung von drei Applikationen, welche im Rahmen der Arbeit entwickelt wurden und das Potential der hier erarbeiteten Konzepte und Methoden widerspiegeln

Playful interactions: A critical inquiry into interactive art and play

My practice-based doctoral research explores how I, as an artist, can create conditions and possibilities for playful interaction in and around interactive artworks. Using practice- based research methods four artworks were created, presented and examined in relation to my research questions concerning play. The three key research questions were:1] How do the properties and affordances of materials and technologies foster play and interactions?2] How can artists conceptualise physical participation and play in interactive artworks? 3] What kind of play takes place in and around interactive artwork?My inquiry focused on the development of a model for making playful and interactive artworks and the creation of a vocabulary of play, which demonstrates the different kinds of play initiated through my practice and research. The model provides alternative ways to think about the role of play within interactive art and consists of a series of tangible making gambits for eliciting playful interactions from the audience. The model will be useful for future interactive artists, as well as other fields concerned with the creation of playful experiences. Underpinning my process of creating playful experiences were methods of observation of the participants’ interactions, which were used in order to enable change and improvement of the artworks throughout the research process.I argue that by employing a sculptural approach to interactive art, using the visual arts tradition of working with the properties of materials and affordances of technology, an invitation to play was created. I propose that to focus on the material’s affordance, rather than on interactive systems, provides additional ways to create interactivity. I also suggest that by understanding technology as a sculptural and embodied material we can move the focus from the technology to what the art does and says. In this sculptural playful interactivity audience members are allowed and encouraged to touch and physical and immersive participation is invited. I explored the body as a particular mode of interaction that can bridge the divide between doing and looking in the gallery, developing theories of the playful body and how audiences connect through play. I argue that the combination of sculptural, captivating interfaces, where the artwork reacts reliably, enables the audience to develop play mastery and become fully engaged. These playful interactions invite people to be curious and seek to engage audiences into dialogue, thereby opening up the possibility for play. Play is an essential pre-condition for the emergence of possibilities and, as such, it is the flexible structure by which meaningful interaction can arise. These interactions are not about our relation to technology but rather about new ways of experiencing culture. In this context interactive art is part of a wider change in contemporary art, where artists are creating culture to be experienced rather than consumed