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  • Conference paper
    Wang J, Qiu D, Wang Y, Ghosh S, Pinson P, Dudley S, Strbac Get al., 2023,

    Cost-effective and Resilient Operation of Distribution Grids and 5G Telecommunication

    , ISSN: 1944-9925

    5G base stations have growing importance in an integrated electric power and telecommunication system, for mobile user equipment mobile data supply and demand response in distribution grids. However, demand response through base station's flexibility can have a growing impact on the power flow of the grid. Additionally, in extreme events, if a power outage occurs at the physical base station, data loads need to be first reconnected to the 5G network, which is essential for the grid to further recover the electricity loads. In this paper, a cost-effective and resilient operation method is proposed to optimally utilize the flexibility of renewable-based 5G base stations and the data load shedding to recover the data transmission. The flexibility from batteries equipped in the base stations and the flexible associations between user equipments and base stations are considered. The simulation results verify the proposed method can achieve lower energy costs and power losses of the grid in normal operation and a resilient operation in an extreme event.
  • Conference paper
    Cedeno MR, Baxter W, Porat T, Peck Jet al., 2023,

    A METHOD FOR PRESCRIBING PSYCHOLOGICAL OWNERSHIP: A PROJECT HANDOVER CASE STUDY

    , Pages: 251-261

    Among the topics of psychological ownership (PO) within current literature, a significant gap exists in understanding PO within a prescriptive lens. This study will examine how instigating the PO mapping method will help us understand how the PO mapping method can support an ownership journey. In addition, we want to see how we can create a prescriptive ownership structure that one follows rather than using the tool as a descriptive method. To do this we will follow a Research Through Design methodology and test the PO mapping method in an organisational case study. We believe that the PO mapping method can help frame and guide organisational project handovers. We want to examine the factors that influence the parties (project teams) emergence and relinquishment of ownership, and how that affects the feeling of ownership of a project over time. Based on this understanding we will derive prescriptive phases to integrate into our PO mapping method. Thus this study demonstrates how the PO mapping method can be used in different contexts to support and provide prescriptive guidance for ownership journeys.
  • Conference paper
    Shilov I, Le Cadre H, Busic A, Sanjab A, Pinson Pet al., 2023,

    Towards Forecast Markets For Enhanced Peer-to-Peer Electricity Trading

    This paper examines the impact of the coupling between an introduced data market, in which agents can purchase a forecast of their renewable energy sources' generation levels to improve their estimation quality, and a peer-to-peer (P2P) electricity market, enabling prosumers to trade energy in a decentralized manner with their peers, amidst the growing trend of decentralization and uncertainty of renewable energy sources (RES) in electricity markets. The study formulates the P2P trading as a generalized Nash equilibrium problem and identifies conditions for achieving a maximized efficiency of the peer-to-peer electricity market, one of which is prosumers' participation in the forecast market. Along these lines, the analysis demonstrates that prosumers have incentives to participate in the forecast market and outlines the conditions, considering the case in which the forecasts are given in the form of a Gaussian distribution. Numerical examples using Pecan Street data demonstrate the theoretical findings and provide illustrations for the general case, as well as highlight the mutual benefits of market coupling for forecast sellers and electricity market agents.
  • Journal article
    He L, Maiolino P, Leong F, Lalitharatne T, Lusignan SD, Ghajari M, Iida F, Nanayakkara Tet al., 2023,

    Robotic simulators for tissue examination training with multimodal sensory feedback

    , IEEE Reviews in Biomedical Engineering, Vol: 16, Pages: 514-529, ISSN: 1941-1189

    Tissue examination by hand remains an essential technique in clinical practice. The effective application depends on skills in sensorimotor coordination, mainly involving haptic, visual, and auditory feedback. The skills clinicians have to learn can be as subtle as regulating finger pressure with breathing, choosing palpation action, monitoring involuntary facial and vocal expressions in response to palpation, and using pain expressions both as a source of information and as a constraint on physical examination. Patient simulators can provide a safe learning platform to novice physicians before trying real patients. This paper reviews state-of-the-art medical simulators for the training for the first time with a consideration of providing multimodal feedback to learn as many manual examination techniques as possible. The study summarizes current advances in tissue examination training devices simulating different medical conditions and providing different types of feedback modalities. Opportunities with the development of pain expression, tissue modeling, actuation, and sensing are also analyzed to support the future design of effective tissue examination simulators.
  • Conference paper
    Cardin MA, Mijic A, Whyte J, 2023,

    Data-driven infrastructure systems design for uncertainty, sustainability, and resilience

    , Pages: 2565-2572

    There are currently many discussions around the need to design infrastructure systems that are more resilient and sustainable in the future, especially considering growing uncertainties from climate change, pandemics, geopolitical conflicts, and cyber/physical terrorism. It is widely recognized that infrastructure systems provide vital functions for society e.g., power generation, transportation, water management, and that they face much uncertainty and variability over their operating lifetime (+20 years). Yet, standard engineering methods provide limited guidance on how to best design such systems to make them more adaptable, evolvable, and reconfigurable to deal with future uncertainty and risks. The field of Flexibility in Engineering Design that emerged from the theory of real options provide systematic and innovative computational tools, algorithms, and digital processes to help designers and engineers better account for uncertainty and risks in early conceptual design activities. This paper provides an overview of the latest developments and future directions in this rapidly growing field. It discusses how flexibility provides the foundations for a unifying conceptual framework to create infrastructure systems that are both more sustainable and resilient. It introduces cutting edge techniques to support the design process based on principles from stochastic programming, robust optimization, deep reinforcement learning, and simulation games, including examples in energy and transportation systems.
  • Journal article
    Ranjan A, Angelini F, Nanayakkara T, Garabini Met al., 2023,

    Design Guidelines for Bioinspired Adaptive Foot for Stable Interaction With the Environment

    , IEEE/ASME Transactions on Mechatronics, ISSN: 1083-4435

    Robotic exploration in natural environments requires adaptable, resilient, and stable interactions with uncertain terrains. Most state-of-the-art legged robots utilize flat or ball feet that lack adaptability and are prone to slip due to point contact with the ground. In this article, we present guidelines to design an adaptive foot that can interact with the terrain to achieve a stable configuration. The foot is inspired by goat hoof anatomy that incorporates roll and yaw rotations in the Fetlock and Pastern joints, respectively. To ensure adaptability with stability in physical interaction and to prevent the foot from collapsing, we provide a lower bound on each joint's stiffness. In addition, we also render an upper bound to conform to the high force exchange during interactions with the ground consisting of certain roughness. Based on these guidelines, we design the hoof and experimentally validate the theoretical results with a loading test setup in lab settings. We use four different friction materials with various triangular, rectangular, and semicircular extrusions to simulate common ground features. We observe that hooved pads require more load for the system to be unstable. Any anatomically inspired foot can be designed based on the guidelines proved analytically and experimentally in this article.
  • Conference paper
    Patel AM, Porat T, Baxter WL, 2023,

    Situation Awareness Failure Factors: Characteristics of Barriers to Situation Awareness in Primary Care & Implications

    , Pages: 505-509

    General Practitioners (GPs) report frustration in locating, customising and prioritising data in Electronic Health Records, which impairs their situation awareness (SA) and consequently impacts decision making and quality of care. Gaining SA in primary care before and during the clinical consultation is challenging, mainly due to barriers including time constraints, fragmented data, limitations in GP-patient interaction, usability issues of the Electronic Health Record (EHR) and information overload. This is enhanced with an increasing ageing population, and patients with multimorbidity. Timely and effective communication of information through data visualizations and visual analytics are promising avenues to address some of the GPs situation awareness needs and barriers, potentially supporting clinicians in making more accurate and rapid decisions. In this paper we propose a taxonomy of situation awareness failure factors in Primary Gare, based on interviews with Primary Care GPs and Endsley's SA error taxonomy. We then discuss design implications towards enhancing situation awareness in Primary Care when using EHR systems, supporting the potential of holistic visualisations to enhance SA before and during the clinical consultation.
  • Conference paper
    Alattar A, Hmida IB, Renda F, Kormushev Pet al., 2023,

    Kinematic-Model-Free Tip Position Control of Reconfigurable and Growing Soft Continuum Robots

    Soft robots have many advantages over their rigid counterparts. These include their inherent compliance, lightweight and high adaptability to cluttered workspaces. Soft continuum robots, biologically inspired snake-like robots, are hyper-redundant and highly deformable. These robots can be challenging to control due to their complex kinematic and dynamic models. This paper presents a novel kinematic-model-free controller that uses a quasi-static assumption in order to control the tip-position of soft continuum robots with threadlike actuation while compensating for gravity simultaneously. The controller was tested on simulated continuum soft robots to demonstrate its ability to guide the tip while following a given trajectory. Novel kinematic-model-free control methods are introduced for soft robots' route and length control. The robustness of the controller is demonstrated with an actuator-failure test. The kinematic-model-free controller provides an adaptive control method for static, re-configuring, and growing soft continuum robots with threadlike actuation.
  • Journal article
    Vladescu S-C, Agurto MG, Myant C, Boehm MW, Baier SK, Yakubov GE, Carpenter G, Reddyhoff Tet al., 2023,

    Protein-induced delubrication: How plant-based and dairy proteins affect mouthfeel

    , FOOD HYDROCOLLOIDS, Vol: 134, ISSN: 0268-005X
  • Journal article
    Basak S, Park J, Jo J, Camara O, Tavabi AH, Tempel H, Kungl H, George C, Dunin-Borkowski RE, Mayer J, Elchel R-Aet al., 2023,

    Screening of Coatings for an All-Solid-State Battery using In Situ Transmission Electron Microscopy

    , JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, ISSN: 1940-087X
  • Journal article
    Martinez Avila J, Hazzard A, Greenhalgh C, Benford S, McPherson Aet al., 2023,

    The Stretchy Strap: supporting encumbered interaction with guitars

    , Journal of New Music Research, Vol: 52, Pages: 19-40, ISSN: 0929-8215

    Guitarists struggle to play their instruments while simultaneously using additional computing devices (i.e., encumbered interaction). We explored designs with guitarists through co-design and somaesthetic design workshops, learning that they (unsurprisingly) preferred to focus on playing their guitars and keeping their instruments’ material integrity intact. Subsequently, we devised an interactive guitar strap controller, which guitarists found promising for tackling encumbered interaction during instrumental transcription, learning and practice. Our design process highlights three strategies: considering postural interaction, applying somaesthetic design to interactive music technology development, and augmenting guitar accessories.
  • Journal article
    Turner R, Turner W, Wu H, 2023,

    On the Pre-Forging Heating Methods for AA2014 Alloy

    , World Journal of Engineering and Technology, Vol: 11, Pages: 893-901, ISSN: 2331-4222
  • Journal article
    Alasiri SF, Douiri A, Altukistani S, Porat T, Mousa Oet al., 2023,

    The role of clinical decision support systems in preventing stroke in primary care: a systematic review.

    , Perspectives in health information management / AHIMA, American Health Information Management Association, Vol: 20, Pages: 1-19, ISSN: 1559-4122

    Computerized clinical decision support systems (CDSS) are increasingly being used to facilitate the role of clinicians in complex decision-making processes. This systematic review evaluates evidence of the available CDSS developed and tested to support the decision-making process in primary healthcare for stroke prevention and barriers to practical implementations in primary care settings. A systematic search of Web of Science, Medline Ovid, Embase Ovid, and Cinahl was done. A total of five studies, experimental and observational, were synthesised in this review. This review found that CDSS facilitate decision-making processes in primary health care settings in stroke prevention options. However, barriers were identified in designing, implementing, and using the CDSS.
  • Journal article
    Angelini F, Angelini P, Angiolini C, Bagella S, Bonomo F, Caccianiga M, Santina CD, Gigante D, Hutter M, Nanayakkara T, Remagnino P, Torricelli D, Garabini Met al., 2023,

    Robotic Monitoring of Habitats: The Natural Intelligence Approach

    , IEEE ACCESS, Vol: 11, Pages: 72575-72591, ISSN: 2169-3536
  • Journal article
    Saiger MJ, Deterding S, Gega L, 2023,

    Children and Young People's Involvement in Designing Applied Games: Scoping Review

    , JMIR SERIOUS GAMES, Vol: 11, ISSN: 2291-9279
  • Journal article
    Sevastjanova R, Hauptmann H, Deterding S, El-Assady Met al., 2023,

    Personalized language model selection through gamified elicitation of contrastive concept preferences

    , IEEE Transactions on Visualization and Computer Graphics, Pages: 1-17, ISSN: 1077-2626

    Language models are widely used for different Natural Language Processing tasks while suffering from a lack of personalization. Personalization can be achieved by, e.g., fine-tuning the model on training data that is created by the user (e.g., social media posts). Previous work shows that the acquisition of such data can be challenging. Instead of adapting the model's parameters, we thus suggest selecting a model that matches the user's mental model of different thematic concepts in language. In this paper, we attempt to capture such individual language understanding of users. In this process, two challenges have to be considered. First, we need to counteract disengagement since the task of communicating one's language understanding typically encompasses repetitive and time-consuming actions. Second, we need to enable users to externalize their mental models in different contexts, considering that language use changes depending on the environment. In this paper, we integrate methods of gamification into a visual analytics (VA) workflow to engage users in sharing their knowledge within various contexts. In particular, we contribute the design of a gameful VA playground called Concept Universe. During the four-phased game, the users build personalized concept descriptions by explaining given concept names through representative keywords. Based on their performance, the system reacts with constant visual, verbal, and auditory feedback. We evaluate the system in a user study with six participants, showing that users are engaged and provide more specific input when facing a virtual opponent. We use the generated concepts to make personalized language model suggestions.
  • Conference paper
    Arachchige DDK, Varshney T, Huzaifa U, Kanj I, Nanayakkara T, Chen Y, Gilbert HB, Godage ISet al., 2023,

    Study on Soft Robotic Pinniped Locomotion

    , IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Publisher: IEEE, Pages: 65-71, ISSN: 2159-6255
  • Journal article
    Valk S, Thabsuwan C, Mougenot C, 2023,

    The ideation compass: supporting interdisciplinary creative dialogues with real time visualization

    , International Journal of Design Creativity and Innovation, Vol: 11, Pages: 99-116, ISSN: 2165-0349

    This study presents the potential of live topic visualization in supporting creative dialogs during remote idea generation. We developed a novel Creativity Support Tool (CST) to explore the effects of the live topic visualization. The tool emphasizes the interdisciplinary knowledge background of participants. Using Natural Language Processing (NLP) and topic modeling, the tool provides users with a live visual mapping of the domains and topics being orally discussed. To understand the tool’s user perceived effects, we conducted evaluation sessions and interviews with participants (N = 10) from two different disciplinary backgrounds: design and bioscience. The findings show that live visualization of domains and topics supported self-reflection during individual and collaborative creativity and encouraged a balanced discussion, which can mitigate discipline-based fixation in ideation.
  • Journal article
    Smith N, Peters D, Jay C, Sandal GM, Barrett EC, Wuebker Ret al., 2023,

    Off-World Mental Health: Considerations for the Design of Well-being-Supportive Technologies for Deep Space Exploration

    , JMIR FORMATIVE RESEARCH, Vol: 7
  • Book chapter
    Larsen ME, Vo LC, Pratap A, Peters Det al., 2023,

    Integrated Digital Platforms for Clinical Care

    , Tasman’s Psychiatry, Publisher: Springer International Publishing, Pages: 1-19, ISBN: 9783030428259
  • Journal article
    Campanella D, Krachkovskiy S, Faure C, Zhu W, Feng Z, Savoie S, Girard G, Demers H, Vijh A, George C, Armand M, Belanger D, Paolella Aet al., 2022,

    Influence of AlPO<sub>4</sub> Impurity on the Electrochemical Properties of NASICON-Type Li<sub>1.5</sub>Al<sub>0.5</sub>Ti<sub>1.5</sub>(PO<sub>4</sub>)<sub>3</sub> Solid Electrolyte

    , CHEMELECTROCHEM, Vol: 9, ISSN: 2196-0216
  • Conference paper
    Kocer BB, Stedman H, Kulik P, Caves I, Van Zalk N, Pawar VM, Kovac Met al., 2022,

    Immersive view and interface design for teleoperated aerial manipulation

    , 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Publisher: IEEE, Pages: 4919-4926

    The recent momentum in aerial manipulation has led to an interest in developing virtual reality interfaces for aerial physical interaction tasks with simple, intuitive, and reliable control and perception. However, this requires the use of expensive subsystems and there is still a research gap between interface design, user evaluations and the effect on aerial manipulation tasks. Here, we present a methodology for low-cost available drone systems with a Unity-based interface for immersive FPV teleoperation. We applied our approach in a flight track where a cluttered environment is used to simulate a demanding aerial manipulation task inspired by forestry drones and canopy sampling. Through objective measures of teleoperation performance and subjective questionnaires, we found that operators performed worse using the FPV interface and had higher perceived levels of cognitive load when compared to traditional interface design. Additional analysis of physiological measures highlighted that objective stress levels and cognitive load were also influenced by task duration and perceived performance, providing an insight into what interfaces could target to support teleoperator requirements during aerial manipulation tasks.
  • Journal article
    Zimmerman K, 2022,

    The biomechanical signature of loss of consciousness: computational modelling of elite athlete head injuries

    , Brain: a journal of neurology, ISSN: 0006-8950
  • Journal article
    Sun S, Zhang Z, Tian M, Mougenot C, Glozier N, Calvo RAet al., 2022,

    Preferences for a Mental Health Support Technology Among Chinese Employees: Mixed Methods Approach

    , JMIR HUMAN FACTORS, Vol: 9, ISSN: 2292-9495
  • Journal article
    Fan Y, Olsson E, Liang G, Wang Z, D'Angelo AM, Johannessen B, Thomsen L, Cowie B, Li J, Zhang F, Zhao Y, Pang WK, Cai Q, Guo Zet al., 2022,

    Stabilizing Cobalt-free Li-rich Layered Oxide Cathodes through Oxygen Lattice Regulation by Two-phase Ru Doping

    , ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, ISSN: 1433-7851
  • Journal article
    Haridas AK, Sadan MK, Liu Y, Jung HY, Lee Y, Ahn H-J, Ahn J-Het al., 2022,

    Simple and scalable gelatin-mediated synthesis of a novel iron sulfide/graphitic carbon nanoarchitecture for sustainable sodium-ion storage

    , JOURNAL OF ALLOYS AND COMPOUNDS, Vol: 928, ISSN: 0925-8388
  • Journal article
    Zhu L, Wang X, Sun L, Hu Q, Li Net al., 2022,

    Optimisation of selective laser melted Ti6Al4V functionally graded lattice structures accounting for structural safety

    , Materials, Vol: 15, Pages: 1-26, ISSN: 1996-1944

    This paper presents a new framework for lightweight optimisation of functionally graded lattice structures (FGLSs) with a particular focus on enhancing and guaranteeing structural safety through three main contributions. Firstly, a design strategy of adding fillets to the joints of body-centred cubic (BCC) type lattice cells was proposed to improve the effective yield stress of the lattices. Secondly, effective properties of lattice metamaterials were experimentally characterised by conducting quasi-static uniaxial compression tests on selective laser melted specimens of both Ti6Al4V BCC and filleted BCC (BCC-F) lattices with different relative densities. Thirdly, a yield stress constraint for optimising FGLSs was developed based on surrogate models quantifying the relationships between the relative density and the effective properties of BCC and BCC-F lattices developed using experimental results assisted by numerical homogenisation. This framework was tested with two case studies. Results showed that structural safety with respect to avoiding yield failure of the optimised FGLSs can be ensured and the introduction of fillets can effectively improve the strength-to-weight ratio of the optimised FGLSs composed of BCC type lattices. The BCC-F FGLS achieved 14.5% improvement in weight reduction compared with BCC FGLS for the Messerschmitt-Bölkow-Blohm beam optimisation case study.
  • Journal article
    Willis S, Waheed U, Coward T, Myant Cet al., 2022,

    An automated design pipeline for transparent facial orthoses: A clinical study.

    , J Prosthet Dent

    STATEMENT OF PROBLEM: Transparent facial orthoses (TFOs) are commonly used for the treatment of craniomaxillofacial trauma and burns to prevent hypertrophic and keloid scarring. A TFO is typically customized to the patient's facial contours and relies on a precise fit to ensure good rehabilitative performance. A smart method of TFO design and manufacture is needed which does not require an experienced prosthetist, allowing for rapidly produced, well-fitting TFOs. Whether the rapid application reduces the final level of patient scarring is unclear. PURPOSE: The purpose of this clinical study was to determine whether a scalable, automated design-through-manufacture pipeline for patient specific TFO fabrication would be successful. MATERIAL AND METHODS: The automated pipeline received a 3-dimensional (3D) facial scan captured from a depth sensitive mobile phone camera. The scan was cleaned, aligned, and fit to a template mesh, with a known connectivity. The resultant fitted scan was passed into an automated design pipeline, outputting a 3D printable model of a custom TFO. The TFOs were fabricated with 3D printing and were both physically and digitally evaluated to test the fidelity of a digital fit testing system. RESULTS: A total of 10 individuals were scanned with 5 different scanning technologies (STs). All scans were passed through an automated fitting pipeline and categorized into 2 groups. Each ST was digitally fitted to a ground truth scan. In this manner, a Euclidean distance map was built to the actual facial geometry for each scan. Heatmaps of 3D Euclidean distances were made for all participant faces. CONCLUSIONS: The ability to automatically design and manufacture a custom fitted TFO using commercially available 3D scanning and 3D printing technology was successfully demonstrated. After considering equipment size and operational personnel requirements, vat polymerization (VP) technology was found to be the most promising route to TFO manufacture.
  • Journal article
    He L, Herzig N, Nanayakkara T, Maiolino Pet al., 2022,

    3D-printed soft sensors for adaptive sensing with online and offline tunable-stiffness

    , Soft Robotics, Vol: 9, Pages: 1062-1073, ISSN: 2169-5172

    The stiffness of a soft robot with structural cavities can be regulated by controlling the pressure of a fluid to render predictable changes in mechanical properties. When the soft robot interacts with the environment, the mediating fluid can also be considered an inherent information pathway for sensing. This approach to using structural tuning to improve the efficacy of a sensing task with specific states has not yet been well studied. A tunable stiffness soft sensor also renders task-relevant contact dynamics in soft robotic manipulation tasks. This article proposes a type of adaptive soft sensor that can be directly three-dimensional printed and controlled using pneumatic pressure. The tunability of such a sensor helps to adjust the sensing characteristics to better capturing specific tactile features, demonstrated by detecting texture with different frequencies. We present the design, modeling, Finite Element Simulation, and experimental characterization of a single unit of such a tunable stiffness sensor. How the sensing characteristics are affected by adjusting its stiffness is studied in depth. In addition to the tunability, the results show that such types of adaptive sensors exhibit good sensitivity (up to 2.6 KPa/N), high sensor repeatability (average std <0.008 KPa/N), low hysteresis (<6%), and good manufacturing repeatability (average std = 0.0662 KPa/N).
  • Journal article
    Finegan DP, Squires I, Dahari A, Kench S, Jungjohann KL, Cooper SJet al., 2022,

    Machine-learning-driven advanced characterization of battery electrodes

    , ACS Energy Letters, Vol: 7, Pages: 4368-4378, ISSN: 2380-8195

    Materials characterization is fundamental to our understanding of lithium ion battery electrodes and their performance limitations. Advances in laboratory-based characterization techniques have yielded powerful insights into the structure–function relationship of electrodes, yet there is still far to go. Further improvements rely, in part, on gaining a deeper understanding of complex physical heterogeneities in the materials. However, practical limitations in characterization techniques inhibit our ability to combine data directly. For example, some characterization techniques are destructive, thus preventing additional analyses on the same region. Fortunately, artificial intelligence (AI) has shown great potential for achieving representative, 3D, multi-modal datasets by leveraging data collected from a range of techniques. In this Perspective, we give an overview of recent advances in lab-based characterization techniques for Li-ion electrodes. We then discuss how AI methods can combine and enhance these techniques, leading to substantial acceleration in our understanding of electrodes.

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