Linköping Electronic Conference Proceedings
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Simulation of adsorption and desorption of VOC on activated carbon
Get PDFThe study's primary purpose is to simulate the adsorption and desorption of volatile organic components on activated carbon bed using python. The model was verified with experiments for the separation of methane (55 mol %) - carbon dioxide (45 mol %) mixture using vacuum pressure swing adsorption on an activated carbon molecular sieve. For a six-component mixture (methane, ethane, propane, butane, carbon dioxide and nitrogen), the model was verified using Aspen Adsorption flowsheet simulator and experimental results of vacuum pressure swing adsorption on activated carbon. Even though the model showed a relatively low error in comparison with provided experiments, some experimental cases need to be investigated more to get a better model prediction
Expectations of users and non-users of wearable sensors and mobile health applications
Get PDFPatient self-management is vital to improved health outcomes for patients with chronic diseases. The objective of this study was to understand the role of wearable sensors in patients’ self-management. A survey encompassing factors related to motivation in mHealth was conducted. Ease of use and sensory accuracy was found most important when choosing a wearable. Manual registration of most health-related information is unpopular, although some exceptions exist. Respondents valued sensor accuracy and easiness in manual registration and usage of mHealth systems. Further research is needed to pinpoint what ease of use exactly is, and how ease of use can be improved
Student–staff Co-creation of Serious Games - Lessons Learned
Get PDFFew papers have described academic/faculty staff’s experiences with co-creation, or partnering with students in cross-disciplinary collaborations. The purpose of this paper is to share challenges and outcomes from two interdisciplinary student–staff co-creations of serious games for use in a Bachelor of Nursing program in Norway. Our experiences are discussed against an evidence-informed model of student–staff co-creation in higher education. Based on the lessons learned from these two projects, we propose ten key points for planning and conducting cross-disciplinary student–staff co-creation of serious games
User preferences for a physical activity chatbot connected to an activity tracker and integrated into a social media platform
Get PDFPerforming regular physical activity can be challenging. Integrating chatbots with social media platforms and physical activity sensors can potentially increase physical activity. The objective of this study was to identify design preferences for integrating an activity tracker supported chatbot in a social media platform. Norwegian adults (n=120) responded to an ad-hoc online survey. User preferences included adding a step goal feature that can be renewed every week and communicating with the chatbot once per day. Preferences of all types of potential users for a social media chatbot for physical activity should be explored to produce a well-accepted intervention
Maintaining Data Quality at the hospital department level – The data work of medical secretaries
Get PDFThis article explores the collaborative work of maintaining data quality of a major health administrative database as it is carried out by medical secretaries in the role of ‘registration responsible medical secretaries’. The article reports on ongoing socio-technical study of local, on-the-ground data work in 5 Danish hospital departments. We argue the medical secretaries make important and skillful contributions to data quality at department level, including identifying and correcting errors, implementing changes to the coding practice, and maintenance of data input quality at the department level requiring a high level of context sensitivity
Predicting the NHL Draft with Rank-Ordered Logit Models
Get PDFThe National Hockey League Entry Draft has been an active area of research in hockey analytics over the past decade. Prior research has explored predictive modelling for draft results using player information and statistics as well as ranking data from draft experts. In this paper, we develop a new modelling framework for this problem using a Bayesian rank-ordered logit model based on draft ranking data obtained from scouting sites and media outlets. Rank-ordered logit models are designed to model multicompetitor contests such as triathlons, sprints, or golf through a sequence of conditionally dependent multinomial logit models. We apply this model to a set of draft ranking data from the 2021 NHL draft and use it to provide a consolidated ranking for the draft and estimate the probability that any given player will be selected at any given pick
Collaborating on Language Resource Infrastructures with Non-Research Partners: Practicalities and Challenges
Get PDFBy now, digital infrastructures for language data and tools have become commonplace in the research domain, but their possible benefits are still almost unknown outside of these circles. However, it stands to reason that the data and methods developed there could also be used by non-research language actors like publishing houses or libraries. This article presents a use case within a local language infrastructure project describing our interactions with a newspaper portal that resulted in modern NLP tools being made available via an API to help improve their online search. We describe how this use case was implemented, focusing on the problems that came up, specifically those from the interaction between a research and a non-research institution
Mundane Cryptography: Toward a Cultural History of Cryptography
Get PDFThis paper aims to explore another way to study the history of cryptography. Following Benedek Láng’s research program from Real Life Cryptologyy, it offers an alternative method to contextualize cryptographic practices inside a broader history of secrecy, inside the social and cultural setting of the studied society. To do so, this paper suggests utilizing approaches from the French cultural history and, firstly, to recontextualize the social situation of the users of cryptography, including those who do not belong to an elite; secondly, to use a broad variety of sources, including sources which are not political or diplomatic, nor secret writing manuals. The examples of the cryptographic practices of mnemonic teachers and authors illustrate this methodology and reveal hitherto unstudied mundane cryptographic practices
Hybrid physical-AI based system modeling and simulation approach demonstrated on an automotive fuel cell
Get PDFThis paper presents an approach on how to train a Neural Network model based on a detailed physical Modelica model. The necessary steps to generate training data from simulation will be explained as well as the generation process of a surrogate model. It will be shown, how the surrogate will be re-integrated into the Modelica system model. A benchmark based on accuracy and simulation performance will be performed. The tools used are Modelon Impact, an online modeling and simulation platform, the TensorFlow/Keras toolbox in a Jupyter Notebook which provides a Python-based interface for generating Neural Networks, and the Modelica Neural Network Library that provides functions for constructing Neural Networks within Modelica. The approach is demonstrated on an automotive fuel cell model which is part of an overall vehicle system model. One possible application is to train the neural network via repeated simulations and then to reuse it as an embedded software component for efficiently estimating fuel use and range for various driving cycles and ambient conditions
Metadata Formats for Learner Corpora: Case Study and Discussion
Get PDFMetadata provides important information relevant both to finding and understanding corpus data. Meaningful linguistic data requires both reasonable annotations and documentation of these annotations. This documentation is part of the metadata of a dataset. While corpus documentation has often been provided in the form of accompanying publications, machinereadable metadata, both containing the bibliographic information and documenting the corpus data, has many advantages. Metadata standards allow for the development of common tools and interfaces. In this paper I want to add a new perspective from an archive’s point of view and look at the metadata provided for four learner corpora and discuss the suitability of established standards for machine-readable metadata. I am are aware that there is ongoing work towards metadata standards for learner corpora. However, I would like to keep the discussion going and add another point of view: increasing findability and reusability of learner corpora in an archiving context