scholarly journals Software Agents in Music and Sound Art Research/Creative Work: current state and a possible direction

2009 ◽  
Vol 14 (2) ◽  
pp. 156-167 ◽  
Author(s):  
Ian Whalley
Keyword(s):  
Recent Work ◽  
Hybrid Model ◽  
Sound Art ◽  
Agent Technology ◽  
Creative Work ◽  
Current State ◽  
Art Works ◽  
Non Linear ◽  
Computer Scientists ◽  
Art Research

Composers, musicians and computer scientists have begun to use software-based agents to create music and sound art in both linear and non-linear (non-predetermined form and/or content) idioms, with some robust approaches now drawing on various disciplines. This paper surveys recent work: agent technology is first introduced, a theoretical framework for its use in creating music/sound art works put forward, and an overview of common approaches then given. Identifying areas of neglect in recent research, a possible direction for further work is then briefly explored. Finally, a vision for a new hybrid model that integrates non-linear, generative, conversational and affective perspectives on interactivity is proposed.

scholarly journals Spatial design factors associated with creative work: a systematic literature review

2020 ◽  
Vol 34 (3) ◽  
pp. 300-314
Author(s):  
Katja Thoring ◽  
Roland M. Mueller ◽  
Pieter Desmet ◽  
Petra Badke-Schaub
Keyword(s):  
New Technologies ◽  
Creative Work ◽  
Spatial Design ◽  
Current State ◽  
Academic Publications ◽  
State Of Research ◽  
Art Research ◽  
Coffee Table ◽  
The Impact ◽  
Creativity And Innovation

AbstractThe term “creative space” describes a relatively recent phenomenon of innovative workplace design. Such creative workspaces are becoming popular in industry and academia. However, the impact of specific spatial design decisions on creativity and innovation is not yet fully understood. This paper provides an overview of state-of-the-art research on creative work and learning environments. We conducted a systematic literature search within the Scopus database and identified a total of 73 relevant sources discussing creative spaces within academic, practice, and other innovation environments. Among the included sources are 51 academic publications and 22 sources from company research and illustrative coffee-table books. We analyzed the sources using three lenses of interest: (1) the types of theoretical and practical contributions that are provided, (2) the spatial characteristics that are suggested to be beneficial for creativity and innovation, and (3) the discussed potential of new technologies for designing or researching creative spaces. The results provide in-depth insight into the current state of research on the topic of creative spaces. Practitioners, educators, and researchers can use the presented overview to investigate the possible impact of creative workspace design and identify research gaps that can be filled by conducting further research in the field.

Four challenges for cognitive neuroscience and the cortico-hippocampal division of memory

2003 ◽  
Vol 26 (6) ◽  
pp. 681-682
Author(s):  
Harry Howard
Keyword(s):  
Independent Component Analysis ◽  
Recent Work ◽  
Cognitive Neuroscience ◽  
Principle Component Analysis ◽  
Pattern Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Principle Component ◽  
Complementary Methods ◽  
Current State

Jackendoff's criticisms of the current state of theorization in cognitive neuroscience are defused by recent work on the computational complementarity of the hippocampus and neocortex. Such considerations lead to a grounding of Jackendoff's processing model in the complementary methods of pattern analysis effected by independent component analysis (ICA) and principle component analysis (PCA).

Glacially-Triggered Faulting

2021 ◽  
Keyword(s):  
Solid Earth ◽  
State Of The Art ◽  
Ice Sheet ◽  
Northern Europe ◽  
Fault Activity ◽  
Current State ◽  
Investigation Methods ◽  
Art Research ◽  
International Experts ◽  
Fault Scarps

Glacially triggered faulting describes movement of pre-existing faults caused by a combination of tectonic and glacially induced isostatic stresses. The most impressive fault-scarps are found in northern Europe, assumed to be reactivated at the end of the deglaciation. This view has been challenged as new faults have been discovered globally with advanced techniques such as LiDAR, and fault activity dating has shown several phases of reactivation thousands of years after deglaciation ended. This book summarizes the current state-of-the-art research in glacially triggered faulting, discussing the theoretical aspects that explain the presence of glacially induced structures and reviews the geological, geophysical, geodetic and geomorphological investigation methods. Written by a team of international experts, it provides the first global overview of confirmed and proposed glacially induced faults, and provides an outline for modelling these stresses and features. It is a go-to reference for geoscientists and engineers interested in ice sheet-solid Earth interaction.

scholarly journals Forecasting stock price movement: new evidence from a novel hybrid deep learning model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yang Zhao ◽  
Zhonglu Chen
Keyword(s):  
Time Series ◽  
Deep Learning ◽  
Hybrid Model ◽  
Stock Price ◽  
Linear Time ◽  
Price Movement ◽  
Content Type ◽  
Non Linear ◽  
New Evidence ◽  
Deep Learning Model

PurposeThis study explores whether a new machine learning method can more accurately predict the movement of stock prices.Design/methodology/approachThis study presents a novel hybrid deep learning model, Residual-CNN-Seq2Seq (RCSNet), to predict the trend of stock price movement. RCSNet integrates the autoregressive integrated moving average (ARIMA) model, convolutional neural network (CNN) and the sequence-to-sequence (Seq2Seq) long–short-term memory (LSTM) model.FindingsThe hybrid model is able to forecast both linear and non-linear time-series component of stock dataset. CNN and Seq2Seq LSTMs can be effectively combined for dynamic modeling of short- and long-term-dependent patterns in non-linear time series forecast. Experimental results show that the proposed model outperforms baseline models on S&P 500 index stock dataset from January 2000 to August 2016.Originality/valueThis study develops the RCSNet hybrid model to tackle the challenge by combining both linear and non-linear models. New evidence has been obtained in predicting the movement of stock market prices.

scholarly journals Hybrid MARMA-NARX model for flow forecasting based on the large-scale climate signals, sea-surface temperatures, and rainfall

2018 ◽  
Vol 49 (6) ◽  
pp. 1788-1803 ◽  
Author(s):  
Mohammad Ebrahim Banihabib ◽  
Arezoo Ahmadian ◽  
Mohammad Valipour
Keyword(s):  
Linear Model ◽  
Hybrid Model ◽  
Large Scale ◽  
Linear Models ◽  
Moving Average ◽  
Effective Parameters ◽  
Forecasting Accuracy ◽  
Local Factor ◽  
Non Linear ◽  
Climate Signals

Abstract In this study, to reflect the effect of large-scale climate signals on runoff, these indices are accompanied with rainfall (the most effective local factor in runoff) as the inputs of the hybrid model. Where one-year in advance forecasting of reservoir inflows can provide data to have an optimal reservoir operation, reports show we still need more accurate models which include all effective parameters to have more forecasting accuracy than traditional linear models (ARMA and ARIMA). Thus, hybridization of models was employed for improving the accuracy of flow forecasting. Moreover, various forecasters including large-scale climate signals were tested to promote forecasting. This paper focuses on testing MARMA-NARX hybrid model to enhance the accuracy of monthly inflow forecasts. Since the inflow in different periods of the year has in linear and non-linear trends, the hybrid model is proposed as a means of combining linear model, monthly autoregressive moving average (MARMA), and non-linear model, nonlinear autoregressive model with exogenous (NARX) inputs to upgrade the accuracy of flow forecasting. The results of the study showed enhanced forecasting accuracy through using the hybrid model.

Sound and Wonder

2021 ◽  
pp. 126-140
Author(s):  
Ray Lee
Keyword(s):  
History Of Science ◽  
Driving Force ◽  
The State ◽  
Sound Art ◽  
The Sublime ◽  
Art Works ◽  
History Of ◽  
Sense Of Wonder

Starting by describing his experience of becoming lost in wonder at the Bakken Museum of Electricity and Life in Minneapolis, in this chapter the artist Ray Lee explores his fascination with the state of wonderment. Referencing his internationally touring sound art works Siren and The Ethometric Museum he reviews the strategies that he has used to attempt to create a sense of wonder, and why this has become both a valuable aspect of his practice and a distinctive part of the audience experience. Throughout the history of science wonder has been a driving force for discovery, yet the sublime, with its suggestion of the spiritual, has more often been used to describe the experience of art. The chapter looks at how wonder creates a sense of creative uncertainty, de Certeau’s ‘rift in time’ or, as Bataille puts it, a state of ‘intolerable non-knowledge, which has no other way out other than ecstasy’.

ANN-SCS-based hybrid model in conjunction with GCM to evaluate the impact of climate change on the flow scenario of the River Subansiri

2019 ◽  
Vol 11 (4) ◽  
pp. 1150-1164
Author(s):  
Swapnali Barman ◽  
Rajib Kumar Bhattacharjya
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Hybrid Model ◽  
Curve Number ◽  
Future Trend ◽  
Land Use Land Cover ◽  
Ann Model ◽  
Non Linear ◽  
The Future ◽  
The Impact

Abstract The River Subansiri, one of the largest tributaries of the Brahmaputra, makes a significant contribution towards the discharge at its confluence with the Brahmaputra. This study aims to investigate an appropriate model to predict the future flow scenario of the river Subansiri. Two models have been developed. The first model is an artificial neural network (ANN)-based rainfall-runoff model where rainfall has been considered as the input. The future rainfall of the basin is calculated using a multiple non-linear regression-based statistical downscaling technique. The proposed second model is a hybrid model developed using ANN and the Soil Conservation Service (SCS) curve number (CN) method. In this model, both rainfall and land use/land cover have been incorporated as the inputs. The ANN models were run using time series analysis and the method selected is the non-linear autoregressive model with exogenous inputs. Using Sen's slope values, the future trend of rainfall and runoff over the basin have been analyzed. The results showed that the hybrid model outperformed the simple ANN model. The ANN-SCS-based hybrid model has been run for different land use/land cover scenarios to study the future flow scenario of the River Subansiri.

Recent advancements in and perspectives on flexible hybrid perovskite solar cells

2019 ◽  
Vol 7 (3) ◽  
pp. 888-900 ◽  
Author(s):  
Jin Hyuck Heo ◽  
David S. Lee ◽  
Dong Hee Shin ◽  
Sang Hyuk Im
Keyword(s):  
Solar Cells ◽  
Perovskite Solar Cells ◽  
Future Prospects ◽  
Current State ◽  
Hybrid Perovskite ◽  
Art Research ◽  
State Of Art

In this review, we discuss the current state-of-art, research gateways and future prospects of flexible (bendable) perovskite solar cells (PSCs) towards their eventual commercialization.

The SLC9A-C Mammalian Na+/H+Exchanger Family: Molecules, Mechanisms, and Physiology

2019 ◽  
Vol 99 (4) ◽  
pp. 2015-2113 ◽  
Author(s):  
S. F. Pedersen ◽  
L. Counillon
Keyword(s):  
State Of The Art ◽  
Expression Profiles ◽  
Tissue Expression ◽  
Gene Organization ◽  
Core Knowledge ◽  
Current State ◽  
Organ Systems ◽  
Evolutionarily Conserved ◽  
Solute Carrier ◽  
Art Research

Na+/H+exchangers play pivotal roles in the control of cell and tissue pH by mediating the electroneutral exchange of Na+and H+across cellular membranes. They belong to an ancient family of highly evolutionarily conserved proteins, and they play essential physiological roles in all phyla. In this review, we focus on the mammalian Na+/H+exchangers (NHEs), the solute carrier (SLC) 9 family. This family of electroneutral transporters constitutes three branches: SLC9A, -B, and -C. Within these, each isoform exhibits distinct tissue expression profiles, regulation, and physiological roles. Some of these transporters are highly studied, with hundreds of original articles, and some are still only rudimentarily understood. In this review, we present and discuss the pioneering original work as well as the current state-of-the-art research on mammalian NHEs. We aim to provide the reader with a comprehensive view of core knowledge and recent insights into each family member, from gene organization over protein structure and regulation to physiological and pathophysiological roles. Particular attention is given to the integrated physiology of NHEs in the main organ systems. We provide several novel analyses and useful overviews, and we pinpoint main remaining enigmas, which we hope will inspire novel research on these highly versatile proteins.

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