120 research outputs found
Imagining & Sensing: Understanding and Extending the Vocalist-Voice Relationship Through Biosignal Feedback
The voice is body and instrument. Third-person interpretation of the voice by listeners, vocal teachers, and digital agents is centred largely around audio feedback. For a vocalist, physical feedback from within the body provides an additional interaction. The vocalist’s understanding of their multi-sensory experiences is through tacit knowledge of the body. This knowledge is difficult to articulate, yet awareness and control of the body are innate. In the ever-increasing emergence of technology which quantifies or interprets physiological processes, we must remain conscious also of embodiment and human perception of these processes. Focusing on the vocalist-voice relationship, this thesis expands knowledge of human interaction and how technology influences our perception of our bodies. To unite these different perspectives in the vocal context, I draw on mixed methods from cog- nitive science, psychology, music information retrieval, and interactive system design. Objective methods such as vocal audio analysis provide a third-person observation. Subjective practices such as micro-phenomenology capture the experiential, first-person perspectives of the vocalists them- selves. Quantitative-qualitative blend provides details not only on novel interaction, but also an understanding of how technology influences existing understanding of the body. I worked with vocalists to understand how they use their voice through abstract representations, use mental imagery to adapt to altered auditory feedback, and teach fundamental practice to others. Vocalists use multi-modal imagery, for instance understanding physical sensations through auditory sensations. The understanding of the voice exists in a pre-linguistic representation which draws on embodied knowledge and lived experience from outside contexts. I developed a novel vocal interaction method which uses measurement of laryngeal muscular activations through surface electromyography. Biofeedback was presented to vocalists through soni- fication. Acting as an indicator of vocal activity for both conscious and unconscious gestures, this feedback allowed vocalists to explore their movement through sound. This formed new perceptions but also questioned existing understanding of the body. The thesis also uncovers ways in which vocalists are in control and controlled by, work with and against their bodies, and feel as a single entity at times and totally separate entities at others. I conclude this thesis by demonstrating a nuanced account of human interaction and perception of the body through vocal practice, as an example of how technological intervention enables exploration and influence over embodied understanding. This further highlights the need for understanding of the human experience in embodied interaction, rather than solely on digital interpretation, when introducing technology into these relationships
Geographic information extraction from texts
A large volume of unstructured texts, containing valuable geographic information, is available online. This information – provided implicitly or explicitly – is useful not only for scientific studies (e.g., spatial humanities) but also for many practical applications (e.g., geographic information retrieval). Although large progress has been achieved in geographic information extraction from texts, there are still unsolved challenges and issues, ranging from methods, systems, and data, to applications and privacy. Therefore, this workshop will provide a timely opportunity to discuss the recent advances, new ideas, and concepts but also identify research gaps in geographic information extraction
Power Quality in Electrified Transportation Systems
"Power Quality in Electrified Transportation Systems" has covered interesting horizontal topics over diversified transportation technologies, ranging from railways to electric vehicles and ships. Although the attention is chiefly focused on typical railway issues such as harmonics, resonances and reactive power flow compensation, the integration of electric vehicles plays a significant role. The book is completed by some additional significant contributions, focusing on the interpretation of Power Quality phenomena propagation in railways using the fundamentals of electromagnetic theory and on electric ships in the light of the latest standardization efforts
EG-ICE 2021 Workshop on Intelligent Computing in Engineering
The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways
Note Taking in the Digital Age – Towards a Ubiquitous Pen Interface
The cultural technique of writing helped humans to express, communicate, think, and memorize throughout history. With the advent of human-computer-interfaces, pens as command input for digital systems became popular. While current applications allow carrying out complex tasks with digital pens, they lack the ubiquity and directness of pen and paper. This dissertation models the note taking process in the context of scholarly work, motivated by an understanding of note taking that surpasses mere storage of knowledge. The results, together with qualitative empirical findings about contemporary scholarly workflows that alternate between the analog and the digital world, inspire a novel pen interface concept. This concept proposes the use of an ordinary pen and unmodified writing surfaces for interacting with digital
systems. A technological investigation into how a camera-based system can connect physical ink strokes with digital handwriting processing delivers artificial neural network-based building blocks towards that goal. Using these components, the technological feasibility of in-air pen gestures for command input is explored. A proof-of-concept implementation of a prototype system reaches real-time performance and demonstrates distributed computing strategies for realizing the interface concept
in an end-user setting
RUNTIME AUDIT OF NEURAL SEQUENCE MODELS FOR NLP
Neural network sequence models have become a fundamental building block for natural language processing (NLP) applications. However, with the increasing performance and widespread adoption of these models, the social effects caused by errors in these models' outputs are also amplified. This thesis aims to mitigate such adverse effects by studying different methods that generate user-interpretable auxiliary signals along with model predictions, thus enabling efficient audits of the model output at runtime.
We will look at two different types of auxiliary signals respectively generated for the input and the output of the model. The first type explains which input tokens are important for a certain prediction (Chapter 3 and 4), while the second estimates the quality of each output token (Chapter 5 and 6). For model explanations, our focus is to establish a comprehensive and quantitative evaluation framework, thus enabling a systematic comparison of different model explanation methods on a diverse set of architectures and configurations. For quality estimations, because there is already a solid evaluation framework in place, we instead focus on improving state of the art by introducing an end-task-oriented pre-training step that is based on a non-autoregressive neural machine translation architecture. Overall, we show that it is possible to generate auxiliary signals of high quality with little to no human supervision, and we also provide some guidance for best practices regarding future applications of these methods to NLP, such as conducting comprehensive quantitative evaluations for the auxiliary signals before deployment, and selecting the appropriate evaluation metric that best suits the user's goal
Intelligent Transportation Related Complex Systems and Sensors
Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data
Oceanography and Marine Biology
Oceanography and Marine Biology: An Annual Review remains one of the most cited sources in marine science and oceanography. The ever-increasing interest in work in oceanography and marine biology and its relevance to global environmental issues, especially global climate change and its impacts, creates a demand for authoritative refereed reviews summarizing and synthesizing the results of both historical and recent research.
This Volume celebrates 60 years of OMBAR, over which time it has been an essential reference for research workers and students in all fields of marine science.
The peer-reviewed contributions in Volume 60 are available to read Open Access via this webpage and on OAPEN. If you are interested in submitting a review for consideration for publication in OMBAR, please email the Editor-in-Chief, Stephen Hawkins ([email protected]) for Volume 61. For Volume 62 onwards, please email the new co-Editors in Chief, Dr Peter Todd ([email protected]) and Dr Bayden Russell ([email protected]).
Volume 60 features an editorial on the UN Decade of Ocean Science and goes on to consider such diverse topics as Cenozoic tropical marine biodiversity, blue carbon ecosystems in Sri Lanka, marine litter and microplastics in the Western Indian Ocean, and the ecology and conservation status of the family Syngnathidae in southern and western Africa. This volume also contains a retrospective Prologue on the evolution of OMBAR and pays tribute to one of its early Editors in Chief, Margaret Barnes, by providing an update on her review in OMBAR of the stalked barnacle Pollicipes.
Supplementary online videos as well as additional Tables and Appendices are available on the Support Tab of the book's Routledge webpage.
An international Editorial Board ensures global relevance and expert peer review, with editors from Australia, Canada, Hong Kong, Ireland, Singapore and the UK. The series volumes find a place in the libraries of not only marine laboratories and oceanographic institutes, but also universities worldwide
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