公开(公告)号：US20240253993A1

公开(公告)日：2024-08-01

申请号：US18559806

申请日：2021-05-11

Applicant: FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS - INSTITUTE OF CHEMICAL ENGINEERING SCIENCES (FORTH/IC

Inventor： Spyros N. YANNOPOULOS ,  Kapil BHORKAR ,  Nikolaos SAMARTZIS ,  Michail ATHANASIOU ,  Vassileios DRACOPOULOS ,  Theophilos IOANNIDES

IPC: C01B32/184 ,  B05D7/24 ,  H01G11/36 ,  H01G11/86 ,  H02N1/04

CPC classification number: C01B32/184 ,  B05D7/24 ,  H01G11/36 ,  H01G11/86 ,  H02N1/04

Abstract: Disclosed herein methods for the Laser-assisted Explosion Synthesis and simultaneous Transfer (LEST) of few-layer turbostratic graphene and graphene-based nanohybrids onto any substrate. Industrially scalable laser-assisted methods of fabricating turbostratic graphene by irradiating carbon-containing compounds (e.g. polymers, organic compounds, biomass-derived products, graphitic materials and their combinations). Laser-assisted methods for preparation of turbostratic graphene/inorganic nanoparticles hybrids. The disclosed processes are versatile as they operate at ambient (atmospheric) environment and through single lasing irradiation at the cm-scale spot size. LEST is capable of producing, and simultaneously transferring, turbostratic graphene on any substrate, such as polymer, glass, carbon paper, metal, ceramic, and so on, avoiding intermediate transfer steps and chemical treatment. In some embodiments LEST graphene has been used to prepare high-performance electrodes for triboelectric nanogenerators and supercapacitors. The resulting turbostratic graphene and graphene-based nanohybrids can be used, inter alia, as electrodes in energy conversion and storage devices, in flexible electronic devices, sensors, filters, photocatalytic reactors, etc.

公开(公告)号：US20220010369A1

公开(公告)日：2022-01-13

申请号：US17282729

申请日：2019-10-31

Applicant: FOUNDATION FOR RESEARCH AND TECHNOLOGY HELLAS

Inventor： Georgios PAPADAKIS ,  Electra GIZELI ,  Alexandros PANTAZIS

IPC: C12Q1/6851 ,  G01N21/75

Abstract: Method and apparatus for performing a real-time colorimetric nucleic acid amplification assay wherein the heating of the liquid sample comprised in a reaction tube is carried out by bringing the bottom of the tube in thermal contact with a heating element. The real-time monitoring of the content of the reaction tube is carried out visually through the side wall of the tube, preferably by using a camera.

公开(公告)号：US10685667B1

公开(公告)日：2020-06-16

申请号：US16006575

申请日：2018-06-12

Applicant: Foundation for Research and Technology—Hellas (FORTH)

Inventor： Nikolaos Stefanakis ,  Athanasios Mouchtaris

IPC: G10L21/00 ,  G10L21/055 ,  H04N5/04

Abstract: In aspects, systems, methods, apparatuses and computer-readable storage media implementing embodiments for mixing audio content based on a plurality of user generated recordings (UGRs) are disclosed. In embodiments, the mixing comprises: receiving a plurality of UGRs, each UGR of the plurality of UGRs comprising at least audio content; determining a correlation between samples of audio content associated with at least two UGRs of the plurality of UGRs; generating one or more clusters comprising samples of the audio content identified as having a relationship based on the determined correlations; synchronizing, for each of the one or more clusters, the samples of the audio content to produce synchronized audio content for each of the one or more clusters, normalizing, for each of the one or more clusters, the synchronized audio content to produce normalized audio content; and mixing, for each of the one or more clusters, the normalized audio content.

公开(公告)号：US10158574B2

公开(公告)日：2018-12-18

申请号：US14864355

申请日：2015-09-24

Applicant: Foundation for Research and Technology—Hellas (FORTH)

Inventor： Manolis G. H. Katevenis

IPC: H04L12/815 ,  H04L12/825

Abstract: A processor-implemented method for regulating the flow rate of data packets in a network, including defining a global constant representing a regularly repeating time period common among flow sources in the network; transmitting current flow rate information from each of the flow sources, and for each flow, to the links traversed by each flow, exactly once during a current period; categorizing each of the flows passing through the links on the network into a category for the current period for each link by comparing the current flow rate information to a previously determined fair-share flow rate for the link; counting, in each link, the flows per category for the current period; determining a current fair-share flow rate for the current period in each link using the results of the categorizing and counting; and providing control instructions to each of the flow sources to regulate the rate of each flow.

公开(公告)号：US10149048B1

公开(公告)日：2018-12-04

申请号：US15276785

申请日：2016-09-26

Applicant: Foundation for Research and Technology—Hellas (FORTH)

Inventor： Nikolaos Stefanakis ,  Athanasios Mouchtaris

IPC: H04R3/00

Abstract: A processor-implemented method for sound-source enhancement, including: capturing a signal from a sound source using a sensor array having a plurality of sensors, the sensor array being positioned between the sound source and the reflective surface; calculating a half-space propagation model by determining a modified steering vector associated with a plane sound wave produced by the sound source as a function of signal direction and the reflectivity value; calculating a half-space spatial coherence model by dividing a sphere with its center on the reflecting surface into two mirror symmetric parts intersected by a plane to create two half spheres; creating a half-space signal-enhancement module using the half-space propagation model and the half-space coherence model; and applying the half-space signal-enhancement module to the signal.

公开(公告)号：US20180196009A1

公开(公告)日：2018-07-12

申请号：US15741673

申请日：2016-07-01

Applicant: Foundation for Research and Technology Hellas

Inventor： George PAPADAKIS ,  Elektra GIZELI

IPC: G01N29/02 ,  G01N29/032 ,  G01N29/036 ,  C12Q1/6825 ,  G01N33/58 ,  G01N33/543

CPC classification number: G01N29/022 ,  C12Q1/6825 ,  C12Q2565/634 ,  G01N29/032 ,  G01N29/036 ,  G01N33/54373 ,  G01N33/586 ,  G01N2291/0255 ,  G01N2291/0256 ,  G01N2291/0257 ,  G01N2291/0426 ,  C12Q2525/197

Abstract: A sensitive assay for an analyte employing an acoustic wave sensor. A label which has a higher dissipative capacity than the analyte is adhered to the sensing surface of an acoustic wave sensor through the analyte such that the body of the label is spaced apart from and anchored to the surface of the acoustic wave sensor by a distance of 15 to 250 nm. The change in the energy losses of the acoustic wave when the label binds to the sensing surface is used to measure the presence or amount of the label. A substantial improvement in the detection limit of the label is obtained. The analyte may for example be a nucleic acid and the label may for example comprise liposomes.

公开(公告)号：US09549253B2

公开(公告)日：2017-01-17

申请号：US14556038

申请日：2014-11-28

Applicant: Foundation for Research and Technology—Hellas (F.O.R.T.H) Institute of Computer Science (I.C.S.)

Inventor： Anastasios Alexandridis ,  Anthony Griffin ,  Athanasios Mouchtaris

IPC: H04R3/00

CPC classification number: H04R3/005 ,  H04R2420/07 ,  H04R2430/03 ,  H04S2420/01

Abstract: A processor-implemented method for spatial sound localization and isolation is described. The method includes segmenting, via a processor, each of a plurality of source signals detected by a plurality of sensors, into a plurality of time frames. For each time frame, the method further includes obtaining, via a processor, a plurality of direction of arrival (DOA) estimates from the plurality of sensors, discretizing an area of interest into a plurality of grid points, calculating, via the processor, DOA at each of grid points, comparing, via the processor, the DOA estimates with the computed DOAs. If the number of sources is more than 1, the method includes obtaining via the processor, a plurality of combinations of DOA estimates, from amongst the plurality of combinations, estimating, via the processor, one or more initial candidate locations corresponding to each of the combinations, selecting location of the sources from amongst the initial candidate locations.

Abstract translation: 描述了用于空间声音定位和隔离的处理器实现的方法。 该方法包括通过处理器将由多个传感器检测的多个源信号中的每一个分割成多个时间帧。 对于每个时间帧，所述方法还包括经由处理器从多个传感器获得多个到达方向估计（DOA），将感兴趣的区域离散成多个网格点，经由处理器计算DOA 在每个网格点，通过处理器将DOA估计与计算的DOA进行比较。 如果源的数量大于1，则该方法包括经由处理器从多个组合中获得多个DOA估计的组合，经由处理器估计与每个的相应的一个或多个初始候选位置 组合，从初始候选位置中选择源的位置。

公开(公告)号：US20160078289A1

公开(公告)日：2016-03-17

申请号：US14855531

申请日：2015-09-16

Applicant: Foundation for Research and Technology - Hellas (FORTH) acting through its Institute of Computer

Inventor： Damien Michel ,  Konstantinos Papoutsakis ,  Antonis Argyros

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06K9/52 ,  G06T7/60 ,  G06T7/20 ,  G06F3/01 ,  G06T7/00

CPC classification number: G06K9/00355 ,  G06F3/011 ,  G06F3/017 ,  G06K9/00389 ,  G06K9/44 ,  G06K9/4609 ,  G06K9/469 ,  G06K9/52 ,  G06K9/6202 ,  G06T7/13 ,  G06T7/246 ,  G06T7/50 ,  G06T7/60 ,  G06T7/73 ,  G06T2207/30196

Abstract: The GESTURE RECOGNITION APPARATUSES, METHODS AND SYSTEMS FOR HUMAN-MACHINE INTERACTION (“GRA”) discloses vision-based gesture recognition. GRA can be implemented in any application involving tracking, detection and/or recognition of gestures or motion in general. Disclosed methods and systems consider a gestural vocabulary of a predefined number of user specified static and/or dynamic hand gestures that are mapped with a database to convey messages. In one implementation, the disclosed systems and methods support gesture recognition by detecting and tracking body parts, such as arms, hands and fingers, and by performing spatio-temporal segmentation and recognition of the set of predefined gestures, based on data acquired by an RGBD sensor. In one implementation, a model of the hand is employed to detect hand and finger candidates. At a higher level, hand posture models are defined and serve as building blocks to recognize gestures

Abstract translation: 用于人机交互的手势识别装置，方法和系统（“GRA”）公开了基于视觉的手势识别。 GRA可以在涉及手势或运动的跟踪，检测和/或识别的任何应用中实现。 公开的方法和系统考虑与数据库映射以传达消息的预定义数量的用户指定的静态和/或动态手势的手势词汇表。 在一个实现中，所公开的系统和方法通过检测和跟踪身体部位（例如手臂，手和手指）以及通过基于由RGBD获取的数据执行预定义姿态集合的时空分割和识别来支持手势识别 传感器。 在一个实现中，使用手的模型来检测手和手指候选。 在更高的层次上，手势模型被定义并且作为识别手势的构建块

公开(公告)号：US20030163049A1

公开(公告)日：2003-08-28

申请号：US10346338

申请日：2003-01-16

Applicant: Foundation for Research and Technology - Hellas (FORTH)

Inventor： Constantinos Balas

IPC: A61B006/00

CPC classification number: A61B1/303 ,  A61B1/00186 ,  A61B1/043 ,  A61B1/0646 ,  A61B5/0059 ,  A61B5/0071 ,  A61B5/0075 ,  A61B5/0084 ,  A61B5/0088 ,  G01N21/21 ,  G01N21/31 ,  G01N21/6486 ,  G01N2021/6417 ,  G01N2021/6423

Abstract: The present invention provides a method and an apparatus for the in vivo, non-invasive, early detection of alterations and mapping of the grade of these alterations, caused in the biochemical and/or in the functional characteristics of epithelial tissues during the development of tissue atypias, dysplasias, neoplasias and cancers. The method is based, at least in part, on the simultaneous measurement of the spatial, temporal and spectral alterations in the characteristics of the light that is re-emitted from the tissue under examination, as a result of a combined tissue excitation with light and special chemical agents. The topical or systematic administration of these agents result in an evanescent contrast enhancement between normal and abnormal areas of tissue. The apparatus enables the capturing of temporally successive imaging in one or more spectral bands simultaneously. Based on the measured data, the characteristic curves that express the agent-tissue interaction kinetics, as well as numerical parameters derived from these data, are determined in any spatial point of the examined area. Mapping and characterization of the lesion, are based on these parameters.

公开(公告)号：US10302723B2

公开(公告)日：2019-05-28

申请号：US14940745

申请日：2015-11-13

Applicant: Foundation for Research and Technology - Hellas (FORTH)

Inventor： Georgios Manikis ,  Eleftherios Kontopodis ,  Konstantinos Marias

IPC: G06F7/60 ,  G06F17/10 ,  G01R33/56 ,  G16H50/50 ,  G01R33/563 ,  A61B5/055

Abstract: (“AEW”) are disclosed herein. The apparatuses, methods and systems provide a computational framework for choosing and applying the most appropriate model in different regions of a heterogeneous area on a voxel-by-voxel basis. The apparatuses, methods and systems also configure an intravoxel-incoherent-motion (IVIM) model for estimating water diffusivity and microcirculation of blood in the capillary network from DW-MRI low b-value data. In one implementation, the method uses a small number of b-values (at least 3 in the b-value range of 0-300 s/mm2, increasing the upper bound of the low b-value range by one b-value in the absence of DW-MRI signal at 300 s/mm2 and is able to synthetically generate DW-MRI data corresponding at higher b-values using the derived IVIM equation. The method also accounts for estimating non-Gaussian diffusion parameter Kapp.