The MATRIX A Novel Controller for Musical Expression

MATRIX (Multipurpose Array of Tactile Rods for Interactive eXpression) is a new musical interface for amateurs and professionals alike . It gives users a3-dimensional tangible interface to control music using their hands . It can be used in conjunction with a traditional musical instrument and a microphone, or as a stand-alone gestural input device .…

The Accordiatron A MIDI Controller For Interactive Music

Accordiatron is a new MIDI controller for real-time performance based on the paradigm of a conventional squeeze box or concertina . It translates thegestures of a performer to the standard communication protocol of MIDI . When used in conjunction with a realtime signal processing environment, theAccordiatron becomes an expressive, versatile musical instrument .…

Input Devices for Musical Expression Borrowing Tools from HCI

This paper reviews the existing literature on input device evaluation and evaluation in human-computer interaction (HCI) It discusses possible application of this knowledge to the design and evaluation of new interfaces for musical expressions . Specifically, a set of musical tasks is suggested to allow the evaluation of different existing controllers .…

Problems and Prospects for Intimate Musical Control of Computers

In this paper we describe our efforts towards the development of liveperformance computer-based musical instrumentation . Our design criteria include ease of use coupled with a long term potential for virtuosity, minimaland low variance latency, and clear and simple strategies for programming therelationship between gesture and musical result .…

A Course on Controllers

Over the last four years, we have developed a series of lectures, labs and assignments aimed at introducing enough technology so that students can design and build innovative interface devices .…

Facial gesture interfaces for expression and communication

Most of the work in facialaction processing has been directed at automatically recognizing affect from facial actions . This paper reviews several projects on vision-based interfaces that rely on facialaction for intentional HCI . Applications to several domains are introduced, including text entry, artistic and musical expression and assistive technology for motor-impaired users .…

Multi Modal Retrieval using Graph Neural Networks

Real world applications of image retrieval such as Adobe Stock need a way for users to find images that are both visually (i.e. aesthetically) and conceptually (i .e. containing the same salient objects) as a query image . We learn a joint vision andconcept embedding in the same high-dimensional space .…

SumGNN Multi typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization

SumGNN outperforms the best baseline by up to 5.54\%, and performance gain is particularly significant in low data relationtypes . SumGnn:~~{\it knowledgesummarization graph neural network. In addition to a subgraph extraction module that can efficiently anchor on relevant subgraphs from a KG, a self-attention based subgraph summarization scheme to generate reasoning path within the subgraph, and a multi-channel knowledge and data integration module.that…

Simflowny 3 An upgraded platform for scientific modelling and simulation

Simflowny is an open platform which automatically generates efficient parallel code of scientific dynamical models for different simulationframeworks . Here we present major upgrades on this software to supports a quite generic family of partial differential equations . Theseequations can be discretized using: (i) standard finite-difference for systemswith derivatives up to any order, (ii) High-Resolution-Shock-Capturing methodsto deal with shocks and discontinuities of balance law equations .…

A High Order Accurate Meshless Method for Solution of Incompressible Fluid Flow Problems

Meshless solution to differential equations using radial basis functions(RBF) is an alternative to grid based methods commonly used . Gaussian, Multiquadrics are some of the most popularRBFs used for the solutions of fluid flow and heat transfer problems . Polyharmonic splines (PHS) with appendedpolynomials have been shown to solve the above issues and give rapidconvergence of discretization errors with the degree of appended polynomials .…

Mixed finite element approximation of periodic Hamilton Jacobi Bellman problems with application to numerical homogenization

We propose and rigorously analyze a mixedfinite element method for the approximation of the Hamilton–Jacobi–Bellman equation with coefficients satisfying the Cordes condition . The second part of the paper focuses on the numerical homogenization of such equations . Numerical experiments demonstrate the approximationscheme for the effective Hamiltonian and the numerical solution of the problem of the homogenized problem .…

A general framework of low regularity integrators

We introduce a new general framework for the approximation of evolutionequations at low regularity . We develop a new class of schemes for a wide range of equations under lower regularity assumptions than classical methods require . We apply our general theory to the time discretization of concrete PDEs, such as the nonlinear heat equation, and the complex Ginzburg-Landau equation, the half wave and Klein–Gordon equations, set in $\Omega \subset \mathbb{R}^d$, $d \leq 3$ with suitable boundary conditions .…

Orthogonal Multi view Analysis by Successive Approximations via Eigenvectors

We propose a unified framework for multi-view subspace learning to learn orthogonal projections for all views . The framework integrates thecorrelations within multiple views, supervised discriminant capacity, and distance preservation in a concise and compact way . An efficientnumerical method based on successive approximations via eigenvectors is presented to solve the associated optimization problem .…

An extended sampling ensemble Kalman filter approach for partial data inverse elastic problems

Inverse problems are more challenging when only partial data are available ingeneral . In this paper, we propose a two-step approach combining the extended sampling method and the ensemble Kalman filter to reconstruct an elastic rigidobstacle using partial data . In the first step, the approximate location of the unknown obstacle is obtained by the extended sample method .…

The Finite Neuron Method and Convergence Analysis

We study a family of $H^m$-conforming piecewise polynomials based on artificial neural network, named as the finite neuron method (FNM) fornumerical solution of $2m-th order partial differential equations in $\mathbb{R}^d$ for any $m,d \geq 1$ We then provide convergence analysis for this method .…

Mossad Defeating Software Plagiarism Detection

Mossad is effective at defeating four plagiarism detectors, including Moss and JPlag . It can, in minutes, generate modified versions of programs that are likely to escape detection . Mossad can, from a single program, generate dozens of variants, which are classified as no more suspicious than legitimate assignments .…

Multi Level Evolution Strategies for High Resolution Black Box Control

This paper introduces a multi-level (m-lev) mechanism into EvolutionStrategies (ESs) in order to address a class of global optimization problemsthat could benefit from fine discretization of their decision variables . Problems arise in engineering and scientific applications, which possess amulti-resolution control nature, and thus may be formulated either by means of low-resolution variants (providing coarser approximations with presumably lower accuracy for the general problem) or by high-resolution controls .…

Uncertainty Aware Multi Modal Ensembling for Severity Prediction of Alzheimer s Dementia

Reliability in Neural Networks is crucial in safety-critical applications like healthcare . We propose an uncertainty-aware boosting technique for multi-modal ensembling topredict Alzheimer’s Dementia Severity . This work aims to encourage fair and aware models . The source code is available at https://://://github.com/wazeerzulfikar/alzheimers-dementia-sustaining-a-solution-alzheimer-scientist-predicting-suspectia…

Review4Repair Code Review Aided Automatic Program Repairing

Learning-based automatic program repair techniques are showing promise to provide quality fix suggestions for detected bugs in the source code . With the increasing popularity of code review, dependency on bug localizers can be reduced . The code review-based bug localization is more trustworthy since reviewers’ expertise and experience are reflected inthese suggestions .…

Reproducible Science with LaTeX

This paper proposes a procedure to execute external source codes from a LaTeX document and include the calculation outputs in the resulting Portable Document Format (pdf) file automatically . It integrates programming tools into the LaTeX tool to facilitate the production of reproducible research .…

The Importance of Conference Proceedings in Research Evaluation a Methodology for Assessing Conference Impact

Conferences are an essential tool for scientific communication . Over 50% of original research results are published in conference proceedings . The comparison of this bibliometric-driven ranking with the expert-driven CORE ranking in Computer Science showed a 62% overlap, as well as a significant average rank correlation of the category distribution .38 conference proceedings in Engineering (45% of the list) and 23 in ComputerScience (32%) have an SJR level corresponding to the first quartile journals in these areas .…