Collaborating with Public Research Institutions: Using Strategic Intent and Co-Created Value to Gain Strategic Opportunities in New Product Development

Collaborating with Public Research Institutions: Using Strategic Intent and Co-Created Value to Gain Strategic Opportunities in New Product Developmen

Heat transfer augmentation using winglet with punched holes

Heat transfer performance of fin-tube heat exchanger can be augmented by the use of longitudinal vortex generators which generates longitudinal vortices. In the present work experimentations have been performed to investigate the heat transfer and flow resistance characteristics of rectangular winglet pair (RWP) type vortex generators (VGs) mounted on fin surface in a fin-tube heat exchanger. RWP have been placed in Common Flow Down (CFD) configuration in downstream location. Heat transfer and flow resistance characteristics have been compared between both the cases (i.e. winglet with punched hole and winglet without punched hole) using Colburn’s factor(j), friction factor(f) and performance evaluation criterion (PEC) also known as area goodness factor = j / f. Investigations have been performed considering the Reynolds number in the range of 1500 to 9000 and angle of attack as 45°. The vortex generator considerably improves the thermohydraulic performance and decreases the flow resistance due to a reduction in the face area. The result clearly indicates that the rectangular winglet pair with punched hole gives the better thermohydraulic performance

DFIG Driven Wind Turbine with Grid Supporting Battery Storage System

Grid operators face challenges with the increasing integration of wind energy into electric grids, necessitating uninterrupted wind power generation during outages to maintain system stability. Due to voltage dips there is a significantly impact on grid-connected Doubly Fed Induction Generators(DFIG). Hence, Integrating DFIG with Grid Battery Storage System(GBSS) is to provide essential active and reactive power support at the CommonCoupling Point(PCC), aligning requirement of Low Voltage Ride Through(LVRT) and other services to the electricgrid. The paper proposes and experimentally validates a coordinated control scheme between the Grid Side Converter(GSC) of the DFIG and the GBSS. In this dynamic adjustment of power set points within the outer control loop responds to voltage and frequency changes at the PCC. The control scheme facilitates multiple services to grid by seamless plug-and-play functionality between DFIG and GBSS converters. The proposed method, utilizing GBSS, achieves significant voltage improvement and enhanced reactive power injection, while effectively managing stator voltage, rotor-side converter current, and DC link voltage oscillations. The study incorporates Hardware-in-theLoop(HIL) testing using Real-Time Digital Simulator(RTDS) with hardware setup of 2.5 kW DC motor emulating a wind turbine interconnected via Power Amplifier(PA). Simulation and experimental results demonstrate the effectiveness of proposed coordinated control scheme indicating its potential significance in grid conditions by withstanding voltage dips and load variations

IT’S ONLY FICTION UNTIL IT EXISTS: Co-designing research with international students

The complexities of providing appropriate and equitable support for international students have grown even more challenging following the global COVID-19 pandemic. However, by employing participatory design methodologies, university staff can research with student partners to enable students to become the co-decision-makers and co-creators of their learning experiences and/or new co-curricular activities. In this chapter, we will provide an overview of participatory design, highlighting specific approaches that staff can use to engage in co-research with students. To further showcase the contributions of students, two international student partners and co-authors, Samridhi and Thuy-Ann, will also share their insights and ideas on how co-design could have enhanced their student experiences through fictional narratives. We will conclude with key reflections and practical suggestions to encourage staff to take on participatory design approaches in future research projects

Fast hyperparameter tuning using Bayesian optimization with directional derivatives

Fast hyperparameter tuning using Bayesian optimization with directional derivatives</p

Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions

Video Restoration Framework and Its Meta-adaptations to Data-Poor Condition

Batch Bayesian optimization using multi-scale search

Batch Bayesian optimization using multi-scale search</p

Incorporating expert prior in Bayesian optimisation via space warping

Bayesian optimisation is a well-known sample-efficient method for the optimisation of expensive black-box functions. However when dealing with big search spaces the algorithm goes through several low function value regions before reaching the optimum of the function. Since the function evaluations are expensive in terms of both money and time, it may be desirable to alleviate this problem. One approach to subside this cold start phase is to use prior knowledge that can accelerate the optimisation. In its standard form, Bayesian optimisation assumes the likelihood of any point in the search space being the optimum is equal. Therefore any prior knowledge that can provide information about the optimum of the function would elevate the optimisation performance. In this paper, we represent the prior knowledge about the function optimum through a prior distribution. The prior distribution is then used to warp the search space in such a way that space gets expanded around the high probability region of function optimum and shrinks around low probability region of optimum. We incorporate this prior directly in function model (Gaussian process), by redefining the kernel matrix, which allows this method to work with any acquisition function, i.e. acquisition agnostic approach. We show the superiority of our method over standard Bayesian optimisation method through optimisation of several benchmark functions and hyperparameter tuning of two algorithms: Support Vector Machine (SVM) and Random forest.</p

Prevalence and trends in the neuropsychological burden of patients having intracranial tumors with respect to neurosurgical intervention

Background: The burden of neuropsychological symptoms evidenced by behavioral changes among patients with intracranial tumors has not been studied in detail. Purpose: This study was conducted to prospectively assess the neuropsychological symptoms in patients with intracranial tumors undergoing treatment. Methods: A longitudinal study was conducted using purposive sampling to assess the neuropsychological symptoms in conscious and consenting patients with intracranial tumors who were availing treatment from a tertiary care center. Neuropsychiatric Inventory Questionnaire (NPI-Q), which identifies 12 behavioral disturbances, was assessed at baseline, and later at 1 month and 6 months after treatment, and scored as symptom severity as well as symptom scores. Results: Among the 34 patients studied, all had experienced at least one neuropsychological symptom. The commonest neuropsychological symptoms at baseline were anxiety (82%), agitation (75%), irritability (74%), depression (74%), and sleep disturbances (70%). The neuropsychiatric symptom and severity scores were 5.84 (SD ±2.7) and 11.8 (±7.1) at baseline, which reduced significantly to 4.3 (±3.1) and 5.6 (±3.2) at 1 month, and further to 2.3 (±2.9) and 3.6 (±3.2) at 6 months, respectively. The neuropsychological symptoms persistent at 6 months were anxiety (33%), depression (33%), sleep disturbances (33%), agitation (25%), irritability (25%), and disinhibition (25%). Conclusion: There is substantial neuropsychological burden among patients with intracranial tumors. The severity score improved immediately after surgery, while the symptom score improved gradually. The variable spectrum of improvement in neuropsychological symptoms at 6 months after surgical treatment needs further consideration. Addressing these symptoms should be one of the long-term goals of the neuro-oncology teams

OFFLINE NEURAL CONTEXTUAL BANDITS: PESSIMISM, OPTIMIZATION AND GENERALIZATION

OFFLINE NEURAL CONTEXTUAL BANDITS: PESSIMISM, OPTIMIZATION AND GENERALIZATIO