scholarly journals Contemporary Approaches to Live Computer Music: The Evolution of the Performer Composer

2021 ◽  
Author(s):  
◽  
Owen Skipper Vallis

<p>This thesis examines contemporary approaches to live computer music, and the impact they have on the evolution of the composer performer. How do online resources and communities impact the design and creation of new musical interfaces used for live computer music? Can we use machine learning to augment and extend the expressive potential of a single live musician? How can these tools be integrated into ensembles of computer musicians? Given these tools, can we understand the computer musician within the traditional context of acoustic instrumentalists, or do we require new concepts and taxonomies? Lastly, how do audiences perceive and understand these new technologies, and what does this mean for the connection between musician and audience?  The focus of the research presented in this dissertation examines the application of current computing technology towards furthering the field of live computer music. This field is diverse and rich, with individual live computer musicians developing custom instruments and unique modes of performance. This diversity leads to the development of new models of performance, and the evolution of established approaches to live instrumental music.  This research was conducted in several parts. The first section examines how online communities are iteratively developing interfaces for computer music. Several case studies are presented as examples of how online communities are helping to drive new developments in musical interface design.  This thesis also presents research into designing real-time interactive systems capable of creating a virtual model of an existing performer, that then allows the model’s output to be contextualized by a second performer’s live input. These systems allow for a solo live musician’s single action to be multiplied into many different, but contextually dependent, actions.  Additionally, this thesis looks at contemporary approaches to local networked ensembles, the concept of shared social instruments, and the ways in which the previously described research can be used in these ensembles.  The primary contributions of these efforts include (1) the development of several new open-source interfaces for live computer music, and the examination of the effect that online communities have on the evolution of musical interfaces; (2) the development of a novel approach to search based interactive musical agents; (3) examining how networked music ensembles can provided new forms of shared social instruments.</p>

2021 ◽  
Author(s):  
◽  
Owen Skipper Vallis

<p>This thesis examines contemporary approaches to live computer music, and the impact they have on the evolution of the composer performer. How do online resources and communities impact the design and creation of new musical interfaces used for live computer music? Can we use machine learning to augment and extend the expressive potential of a single live musician? How can these tools be integrated into ensembles of computer musicians? Given these tools, can we understand the computer musician within the traditional context of acoustic instrumentalists, or do we require new concepts and taxonomies? Lastly, how do audiences perceive and understand these new technologies, and what does this mean for the connection between musician and audience?  The focus of the research presented in this dissertation examines the application of current computing technology towards furthering the field of live computer music. This field is diverse and rich, with individual live computer musicians developing custom instruments and unique modes of performance. This diversity leads to the development of new models of performance, and the evolution of established approaches to live instrumental music.  This research was conducted in several parts. The first section examines how online communities are iteratively developing interfaces for computer music. Several case studies are presented as examples of how online communities are helping to drive new developments in musical interface design.  This thesis also presents research into designing real-time interactive systems capable of creating a virtual model of an existing performer, that then allows the model’s output to be contextualized by a second performer’s live input. These systems allow for a solo live musician’s single action to be multiplied into many different, but contextually dependent, actions.  Additionally, this thesis looks at contemporary approaches to local networked ensembles, the concept of shared social instruments, and the ways in which the previously described research can be used in these ensembles.  The primary contributions of these efforts include (1) the development of several new open-source interfaces for live computer music, and the examination of the effect that online communities have on the evolution of musical interfaces; (2) the development of a novel approach to search based interactive musical agents; (3) examining how networked music ensembles can provided new forms of shared social instruments.</p>


2011 ◽  
Author(s):  
Audrey W. Fok ◽  
Timothy B. Frischmann ◽  
Ben Sawyer ◽  
Melissa Robin ◽  
Mustapha Mouloua
Keyword(s):  

2017 ◽  
pp. 111-140 ◽  
Author(s):  
R. Kapeliushnikov

The paper provides a critical analysis of the idea of technological unemployment. The overview of the existing literature on the employment effects of technological change shows that on the micro-level there exists strong and positive relationship between innovations and employment growth in firms; on the sectoral level this correlation becomes ambiguous; on the macro-level the impact of new technologies seems to be positive or neutral. This implies that fears of explosive growth of technological unemployment in the foreseeable future are exaggerated. Our analysis further suggests that new technologies affect mostly the structure of employment rather than its level. Additionally we argue that automation and digitalisation would change mostly task sets within particular occupations rather than distribution of workers by occupations.


Emerging technologies have always played an important role in armed conflict. From the crossbow to cyber capabilities, technology that could be weaponized to create an advantage over an adversary has inevitably found its way into military arsenals for use in armed conflict. The weaponization of emerging technologies, however, raises challenging legal issues with respect to the law of armed conflict. As States continue to develop and exploit new technologies, how will the law of armed conflict address the use of these technologies on the battlefield? Is existing law sufficient to regulate new technologies, such as cyber capabilities, autonomous weapons systems, and artificial intelligence? Have emerging technologies fundamentally altered the way we should understand concepts such as law-of-war precautions and the principle of distinction? How can we ensure compliance and accountability in light of technological advancement? This book explores these critical questions while highlighting the legal challenges—and opportunities—presented by the use of emerging technologies on the battlefield.


2019 ◽  
Vol 10 (4) ◽  
pp. 106
Author(s):  
Bader A. Alyoubi

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data’s predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.


2020 ◽  
pp. 105708372098227
Author(s):  
Cynthia L. Wagoner

I investigated how preservice instrumental music teachers understand and describe their teacher identity through the use of metaphor in a one-semester instrumental methods course emphasizing authentic context learning. Twenty-five third-year instrumental methods course music education students created a personal metaphor to explore their professional identity construction. Preservice teacher metaphors were revisited throughout the semester, while students participated in an authentic context learning experience in an urban instrumental music classroom. Data sources included student artifacts, informal interviews, and observation/field notes. The impact of teaching within an authentic learning context appears to enrich the ways in which preservice teachers are able to articulate details of their metaphor descriptions. Through their reflections across the semester, preservice teachers demonstrated how personal metaphors were used to restructure their understandings of teacher identity and capture some of the complexities of becoming teachers.


Horticulturae ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Athanasios Koukounaras

Greenhouse horticulture is one of the most intensive agricultural systems, with the advantages of environmental parameter control (temperature, light, etc.), higher efficiency of resource utilization (water, fertilizers, etc.) and the use of advanced technologies (hydroponics, automation, etc.) for higher productivity, earliness, stability of production and better quality. On the other hand, climate change and the application of high inputs without suitable management could have negative impacts on the expansion of the greenhouse horticulture sector. This special issue gathers twelve papers: three reviews and nine of original research. There is one review that focuses on irrigation of greenhouse crops, while a second surveys the effects of biochar on container substrate properties and plant growth. A third review examines the impact of light quality on plant–microbe interactions, especially non-phototrophic organisms. The research papers report both the use of new technologies as well as advanced cultivation practices. In particular, new technologies are presented such as dye-sensitized solar cells for the glass cover of a greenhouse, automation for water and nitrogen deficit stress detection in soilless tomato crops based on spectral indices, light-emitting diode (LED) lighting and gibberellic acid supplementation on potted ornamentals, the integration of brewery wastewater treatment through anaerobic digestion with substrate-based soilless agriculture, and application of diatomaceous earth as a silica supplement on potted ornamentals. Research studies about cultivation practices are presented comparing different systems (organic-conventional, aeroponic-nutrient film technique (NFT)-substrate culture), quantitative criteria for determining the quality of grafted seedlings, and of wild species as alternative crops for cultivation.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4663
Author(s):  
Janaina Cavalcanti ◽  
Victor Valls ◽  
Manuel Contero ◽  
David Fonseca

An effective warning attracts attention, elicits knowledge, and enables compliance behavior. Game mechanics, which are directly linked to human desires, stand out as training, evaluation, and improvement tools. Immersive virtual reality (VR) facilitates training without risk to participants, evaluates the impact of an incorrect action/decision, and creates a smart training environment. The present study analyzes the user experience in a gamified virtual environment of risks using the HTC Vive head-mounted display. The game was developed in the Unreal game engine and consisted of a walk-through maze composed of evident dangers and different signaling variables while user action data were recorded. To demonstrate which aspects provide better interaction, experience, perception and memory, three different warning configurations (dynamic, static and smart) and two different levels of danger (low and high) were presented. To properly assess the impact of the experience, we conducted a survey about personality and knowledge before and after using the game. We proceeded with the qualitative approach by using questions in a bipolar laddering assessment that was compared with the recorded data during the game. The findings indicate that when users are engaged in VR, they tend to test the consequences of their actions rather than maintaining safety. The results also reveal that textual signal variables are not accessed when users are faced with the stress factor of time. Progress is needed in implementing new technologies for warnings and advance notifications to improve the evaluation of human behavior in virtual environments of high-risk surroundings.


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