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Wyniki wyszukiwania dla: OCT 3/4
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MODALITY corpus - SPEAKER 32 - COMMANDS C3
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 27 - SEQUENCE S6
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 35 - SEQUENCE S5
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 17 - COMMANDS C4
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 27 - SEQUENCE S5
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 32 - COMMANDS C2
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 35 - COMMANDS C2
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 33 - COMMANDS C5
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 27 - COMMANDS C2
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 33 - SEQUENCE S6
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 35 - COMMANDS C6
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 32 - COMMANDS C5
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 35 - COMMANDS C5
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 33 - COMMANDS C4
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 27 - SEQUENCE S3
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 27 - COMMANDS C3
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 33 - SEQUENCE S5
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 27 - SEQUENCE S2
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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Long-term hindcast simulation of sea level in the Baltic Sea
Dane BadawczeThe dataset contains the results of numerical modelling of sea level fluctuations over a period of 50 years (1958-2007) in the Baltic Sea. A long-term hindcast simulation was performed using a three-dimensional hydrodynamic model PM3D (Kowalewski and Kowalewska-Kalkowska, 2017), a new version of the M3D model (Kowalewski, 1997). The hydrodynamic model...
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TiC coating in ring-on-ring sliding with distlled water lubrication 5MPa, 0.1m/s specimn. #B39/#A41
Dane BadawczeWear tests in sliding friction of TiC coating on 1.4021 (EN 10088-1) heat treated stainless steel. Ring - on - ring contact in unidirectional sliding, TiC over TiC . Mean contact stress: 5MPa. Sliding velocity: 0,1 m/s. Mean friction radius: 9.5mm. Lubricant: DISTILLED WATER. Tribometer: PT-3. Overall test time till coating penetration 3 min. The test...
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SiC coating in ring-on-ring sliding with distlled water lubrication 5MPa, 0.1m/s specimn. #B34/#A33
Dane BadawczeWear tests in sliding friction of SiC coating on 1.4021 (EN 10088-1) heat treated stainless steel. Ring - on - ring contact in unidirectional sliding, SiC over SiC. Mean contact stress: 5MPa. Sliding velocity: 0,1 m/s. Mean friction radius: 9.5mm. Lubricant: DISTILLED WATER. Tribometer: PT-3. Overall test time till coating penetration 3 min. The test...
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TiC coating in ring-on-ring sliding with distlled water lubrication 5MPa, 0.1m/s specimn. #A41/#B39
Dane BadawczeWear tests in sliding friction of TiC coating on 1.4021 (EN 10088-1) heat treated stainless steel. Ring - on - ring contact in unidirectional sliding, TiC over TiC . Mean contact stress: 5MPa. Sliding velocity: 0,1 m/s. Mean friction radius: 9.5mm. Lubricant: DISTILLED WATER. Tribometer: PT-3. Overall test time till coating penetration 3 min. The...
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SiC coating in ring-on-ring sliding with distlled water lubrication 5MPa, 0.1m/s specimn. #A33/#B34
Dane BadawczeWear tests in sliding friction of SiC coating on 1.4021 (EN 10088-1) heat treated stainless steel. Ring - on - ring contact in unidirectional sliding, SiC over SiC. Mean contact stress: 5MPa. Sliding velocity: 0,1 m/s. Mean friction radius: 9.5mm. Lubricant: DISTILLED WATER. Tribometer: PT-3. Overall test time till coating penetration 3 min. The test...
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Electrical conductivity of the SrTi1-xFexO3-d pellets at 20% pO2
Dane BadawczeThis dataset contains results electrical conductivity measurements of dense SrTi1-xFexO3-d (x=0.35, 0.50, 0.70) pellets. DC electrical conductivity measurements were performed by the Van der Pauw method between 900 °C and 200 °C. Studies were performed at 20% of oxygen partial pressure under humidified (~4 vol%) gas flow rate of 50 ml min -1.
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Low temperature electrical conductivity of the SrFeO3-d pellet
Dane BadawczeThis dataset contains results of low temperature electrical conductivity measurements of dense SrFeO3-d (SFO) pellet. DC electrical conductivity measurements of SFO were performed by the Van der Pauw method between 400 °C and room temperature with 20 °C step. Studies were performed at Synthetic Air flow under humidified (~4 vol%) gas flow rate of 40...
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Low temperature electrical conductivity of the SrTi0.65Fe0.35O3-d pellet
Dane BadawczeThis dataset contains results of low temperature electrical conductivity measurements of dense SrTi0.65Fe0.35O3-d (STF35) pellet. DC electrical conductivity measurements of STF35 were performed by the Van der Pauw method between 400 °C and room temperature with 20 °C step. Studies were performed at Synthetic Air flow under humidified (~4 vol%) gas...
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Low temperature electrical conductivity of the SrTi0.30Fe0.70O3-d pellet
Dane BadawczeThis dataset contains results of low temperature electrical conductivity measurements of dense SrTi0.30Fe0.70O3-d (STF70) pellet. DC electrical conductivity measurements of STF70 were performed by the Van der Pauw method between 400 °C and room temperature with 20 °C step. Studies were performed at Synthetic Air flow under humidified (~4 vol%) gas...
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Low temperature electrical conductivity of the SrTi0.50Fe0.50O3-d pellet
Dane BadawczeThis dataset contains results of low temperature electrical conductivity measurements of dense SrTi0.50Fe0.50O3-d (STF50) pellet. DC electrical conductivity measurements of STF50 were performed by the Van der Pauw method between 400 °C and room temperature with 20 °C step. Studies were performed at Synthetic Air flow under humidified (~4 vol%) gas...
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Low temperature electrical conductivity of the SrTi0.10Fe0.90O3-d pellet
Dane BadawczeThis dataset contains results of low temperature electrical conductivity measurements of dense SrTi0.10Fe0.90O3-d (STF90) pellet. DC electrical conductivity measurements of STF90 were performed by the Van der Pauw method between 400 °C and room temperature with 20 °C step. Studies were performed at Synthetic Air flow under humidified (~4 vol%) gas...
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DW221 Kościerzyna 2020 - video data - pedestrian, bicycles, vehicles
Dane BadawczeKościerzyna 2020 - video data - pedestrian, bicycles, vehicles
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Strzegom 2019 - video data - pedestrian, bicycles, vehicles
Dane BadawczeStrzegom 2019 - video data - pedestrian, bicycles, vehicles
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Człuchów 2019 - video data - pedestrian, bicycles, vehicles
Dane BadawczeCzłuchów 2019 - video data - pedestrian, bicycles, vehicles
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Measurements of drive system properties of the "Magnetic SpeedLine" ultra-fast robot prototype for IML labeling
Dane BadawczeTests of the drive system of the ultra-fast robot "SpeedLine magnetic" for labeling with the IML method were carried out in order to analyze the influence of the operating parameters of the drive system on the correctness and quality of the drive system.
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Automatically created and partially veriffied Wikipedia - WordNet mappings
Dane BadawczeMapping between Wikipedia articles and WordNet synsets. The mappings between Wikipedia articles and WordNet synsets were obtained automatically using 4 algorithms of data processing. The automatically generated mappings were than a subject of verification by a group of volunteers using crowdsourcing approach through so called Games with a Purpose. The...
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Assessment of the activities of private universities in the context of quality management in 2010
Dane BadawczeIn all universities, the assessment of the quality is made by the supervisor, the opinion of students and the admission of classes have the greatest impact on the assessment of the quality of education. Subsequent tracking of the student's fate has a slightly smaller impact on the grade. Research also shows that only 4 out of 7 respondents monitor the...
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SEM photos of biochars
Dane BadawczeThe photos show biochars made from sunflower husks, along with 3 modifications
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - All accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Gdańsk Abrahama 2017 - video data
Dane BadawczeGdańsk Abrahama 2017 - video data
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Electrical conductivity of the (Ce0.80Gd0.20)O1.90 pellet at different oxygen partial pressures
Dane BadawczeThis dataset contains results electrical conductivity measurements of dense (Ce0.80Gd0.20)O1.90 (CGO-20) pellet. DC electrical conductivity measurements of CGO-20 were performed by the Van der Pauw method between 900 °C and 450 °C with 50 °C step. Studies were performed at different oxygen partial pressures (100%, 20% and 1%) under humidified (~4...
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MODALITY corpus - SPEAKER 17 - SEQUENCE S1
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 17 - SEQUENCE S4
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 17 - SEQUENCE S2
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 17 - SEQUENCE S5
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 17 - SEQUENCE S3
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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MODALITY corpus - SPEAKER 17 - SEQUENCE S6
Dane BadawczeThe MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Pedestrian accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: Pedestrians. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Young drivers accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: young driver offender. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Motorcycle and moped accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, risk group: motorcyclists and mopeds. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Head-on accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: head-on. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):
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Accidents, victims and risk levels on regional roads in pomorskie voivodeship, 2017-2019 - Side-impact accidents
Dane BadawczeData contain risk classification on regional roads (voivodeship roads) in pomorskie voivodeship in 2017-2019, type of accidents: Side-impact. Measures used to assess the level of risk are (5 classes low, low to medium, medium, medium to high, high):