13 research outputs found

    L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing

    Full text link
    The L3DAS21 Challenge is aimed at encouraging and fostering collaborative research on machine learning for 3D audio signal processing, with particular focus on 3D speech enhancement (SE) and 3D sound localization and detection (SELD). Alongside with the challenge, we release the L3DAS21 dataset, a 65 hours 3D audio corpus, accompanied with a Python API that facilitates the data usage and results submission stage. Usually, machine learning approaches to 3D audio tasks are based on single-perspective Ambisonics recordings or on arrays of single-capsule microphones. We propose, instead, a novel multichannel audio configuration based multiple-source and multiple-perspective Ambisonics recordings, performed with an array of two first-order Ambisonics microphones. To the best of our knowledge, it is the first time that a dual-mic Ambisonics configuration is used for these tasks. We provide baseline models and results for both tasks, obtained with state-of-the-art architectures: FaSNet for SE and SELDNet for SELD. This report is aimed at providing all needed information to participate in the L3DAS21 Challenge, illustrating the details of the L3DAS21 dataset, the challenge tasks and the baseline models.Comment: Documentation paper for the L3DAS21 Challenge for IEEE MLSP 2021. Further information on www.l3das.com/mlsp202

    A Risk Reduction Framework for Design of Physical Human-Robot Collaboration

    Full text link
    As robots designed to physically interact with humans become common in various application areas, shared workspaces and force exchange between human and robot lead to new challenges in terms of safety. Often, a variety of safety techniques is necessary, and deciding what methods to include in a comprehensive safety framework is not an easy task. This paper is concerned with the design of robotic co-wokers that involve physical Human-Robot Collaboration (pHRC), with humans and robots in continuous direct physical contact and exchanging forces. A hierarchical risk reduction framework is presented for guiding the design of robotic co-workers to reduce the risk associated with hazards commonly found in pHRC tasks. A case study is presented to demonstrate the use of the framework in designing an Assistance-as-Needed roBOT (ANBOT) which has been extensively tested in practical industry applications

    Quantitative structure-activity relationship models with receptor-dependent descriptors for predicting peroxisome proliferator-activated receptor activities of thiazolidinedione and oxazolidinedione derivatives

    Get PDF
    A quantitative structure–activity relationship study has been carried out, in which the relationship between the peroxisome proliferator-activated receptor a and the peroxisome proliferator activated receptor c agonistic activities of thiazo lidinedione and oxazolidinedione derivatives and quantitative descriptors, Vsite calculated in a receptor-dependent manner is modeled. These descriptors quantify the volume occupied by the optimized ligands in regions that are either com mon or specific to the superimposed binding sites of the targets under consideration. The quantita tive structure–activity relationship models were built by forward stepwise linear regression model ing for a training set of 27 compounds and vali dated for a test set of seven compounds, resulting in a squared correlation coefficient value of 0.90 for peroxisome proliferator-activated receptor a and of 0.89 for peroxisome proliferator-activated receptor c. The leave-one-out cross-validation and test set predictability squared correlation coeffi cient values for these models were 0.85 and 0.62 for peroxisome proliferator-activated receptor a and 0.89 and 0.50 for peroxisome proliferator-acti vated receptor c respectively. A dual peroxisome proliferator-activated receptor model has also been developed, and it indicates the structural features required for the design of ligands with dual peroxisome proliferator-activated receptor activity. These quantitative structure–activity relationship models show the importance of the descriptors here introduced in the prediction and interpretation of the compounds affinity and selectivity.info:eu-repo/semantics/publishedVersio

    Hybrid Sample-based Surface Rendering

    Get PDF
    The performance of rasterization-based rendering on current GPUs strongly depends on the abilities to avoid overdraw and to prevent rendering triangles smaller than the pixel size. Otherwise, the rates at which highresolution polygon models can be displayed are affected significantly. Instead of trying to build these abilities into the rasterization-based rendering pipeline, we propose an alternative rendering pipeline implementation that uses rasterization and ray-casting in every frame simultaneously to determine eye-ray intersections. To make ray-casting competitive with rasterization, we introduce a memory-efficient sample-based data structure which gives rise to an efficient ray traversal procedure. In combination with a regular model subdivision, the most optimal rendering technique can be selected at run-time for each part. For very large triangle meshes our method can outperform pure rasterization and requires a considerably smaller memory budget on the GPU. Since the proposed data structure can be constructed from any renderable surface representation, it can also be used to efficiently render isosurfaces in scalar volume fields. The compactness of the data structure allows rendering from GPU memory when alternative techniques already require exhaustive paging

    Perlin Textures in Real Time using OpenGL

    Get PDF
    Perlin's procedural solid textures provide for high quality rendering of surface appearance like surface aspect such as marble, wood or rock. This method does not suffer many of the flaws that are associated with classical image mapped textures methods, such as distortion, memory size, bad continuity through objects. Being based on a per-pixel calculation, they were however limited up to now to non-real-time quality rendering as is ray-tracing. In this paper, we propose a way to implement Perlin texture using a real-time graphics library like OpenGL.Les textures procédurales pleines de Perlin permettent un rendu de qualité pour des surfaces comme le marbre, le bois ou la pierre. Cette méthode ne souffre pas de la plupart des problèmes que rencontrent les méthodes de plaquage de texture classique, comme les distortions, l'occupation mémoire, la mauvaise continuité d'une composante géométrique à l'autre. S'appuyant sur un calcul par pixel, elles étaient toutefois limitées jusqu'à maintenant aux rendus de qualité non temps-réel, comme le lancer de rayon. Dans ce papier, nous proposons une méthode pour qui permet d'implémenter les textures de Perlin en s'appuyant sur une librairie graphique temps-réel comme OpenGL

    A BIM APPROACH FOR THE ANALYSIS OF AN ARCHAEOLOGICAL MONUMENT

    Get PDF
    In 2010 an Italian team started new on-field investigations in the area of the Sun Temple of Niuserra, 6&thinsp;km south of the pyramids of Giza. The archaeological research was planned to re-examine the monument after its discovery in 1898. The work was mainly aimed at a general evaluation of the archaeological structures, still visible, in order to establish an updated plan of the temple. More than 100 scans and several 3D models by close-range photogrammetry have been acquired, processed and integrated to virtually reconstruct the archaeological area.To manage all available 3D datasets, allowing to propose new hypothesis about the monument, a BIM has been developed. Thanks to this approach different categories of environmental and technological objects have been created and analysed. The paper deals with the recent achievements, especially regarding the hierarchical conceptualisation of the architectural components. In particular, the contribution dwells on the analysis of the monument starting from the identification of a parametric library built on the semantic decomposition of the 3D replica.</p

    Application-driven data processing in wireless sensor networks

    Get PDF
    Wireless sensor networks (WSNs) are composed of spatially distributed, low-cost, low-power, resource-constrained devices using sensors and actuators to cooperatively monitor and operate into the environment. These systems are being used in a wide range of applications. The design and implementation of an effective WSN requires dealing with several challenges involving multiple disciplines, such as wireless communications and networking, software engineering, embedded systems and signal processing. Besides, the technical solutions found to these issues are closely interconnected and determine the capability of the system to successfully fulfill the requirements posed by each application domain. The large and heterogeneous amount of data collected in a WSN need to be efficiently processed in order to improve the end-user comprehension and control of the observed phenomena. The thesis focuses on a) the development of centralized and distributed data processing methods optimized for the requirements and characteristics of the considered application domains, and b) the design and implementation of suitable system architectures and protocols with respect to critical application-specific parameters. The thesis comprehends a summary and nine publications, equally divided over three different application domains, i.e. wireless automation, structural health monitoring (SHM) and indoor situation awareness (InSitA). In the first one, a wireless joystick control system for human adaptive mechatronics is developed. Also, the effect of packet losses on the performance of a wireless control system is analyzed and validated with an unstable process. A remotely reconfigurable, time synchronized wireless system for SHM enables a precise estimation of the modal properties of the monitored structure. Furthermore, structural damages are detected and localized through a distributed data processing method based on the Goertzel algorithm. In the context of InSitA, the short-time, low quality acoustic signals collected by the nodes composing the network are processed in order to estimate the number of people located in the monitored indoor environment. In a second phase, text- and language-independent speaker identification is performed. Finally, device-free localization and tracking of the movements of people inside the monitored indoor environment is achieved by means of distributed processing of the radio signal strength indicator (RSSI) signals. The results presented in the thesis demonstrate the adaptability of WSNs to different application domains and the importance of an optimal co-design of the system architecture and data processing methods

    1ジュ アタリ ヨウリョウ ト エンドウ フクイン ノ チガイ ガ カジュエン ノ ヒカリ カンキョウ ヨウソウ ノ ジュンコウゴウセイ ソクド オヨビ エンチ アタリ ヨウソウ ジュンコウゴウセイ リョウ ニ オヨボス エイキョウ : モデル シュホウ オ モチイタ カイセキ

    Get PDF
    Effects of foliage biomass amounts per tree or orchard road widths (ORWs) on orchard light environment, leaf net photosynthetic rates and amounts of photosynthates per orchard land area were investigated. In each crown model group (CMG), total 375 crown models were designed to possess fifteen grades of leafy block number per 3D grid (NLB). Total 33,750 orchard models were made by combining these crown models with nine grades of orchard road width (ORW). Light environment in their leaf layers and the photosynthesis of these orchard models were analyzed using OLEAS (Yamamoto, 1999). Daily means of leaf PPFD on a clear day (CDMPPFD) in August and that on an overcast day (ODMPPFD) remarkably decreased by increases of the NLB. High and negative correlations were found between both CDMPPFDs and ODMPPFDs and several characteristics of canopy shape. CDMPPFDs, ODMPPFDs, the leaf net photosynthetic rates on a clear day (CDMPNs) and that on an overcast day (ODMPNs) decreased as the ORWs shortened. When leaf area index per orchard was used as a standard, CDMPPFDs, ODMPPFDs, CDMPNs, ODMPNs, amounts of net photosynthate per orchard land area on a clear day (CDMPNOs) and that on an overcast day (ODMPNOs) were compared between the ten CMGs. Clear differences in these values were found between the CMGs. Using these data above-mentioned, values of CDMPNO and NLB were estimated which were correspondent to three plans for fruit production, viz. slight fruits with excellent quality, moderate fruits with good quality and many fruits with ordinary quality

    Image-space decomposition algorithms for sort-first parallel volume rendering of unstructured grids

    Get PDF
    Ankara : Department of Computer Engineering and Information Science and the Institute of Engineering and Science of Bilkent University, 1997.Thesis (Master's) -- Bilkent University, 1997.Includes bibliographical references leaves 96-100.Kutluca, HüseyinM.S
    corecore