CEP-traj: An event-based solution to process trajectory data
In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Terroso-Saenz, F. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015transfer abstract |
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| Schlagwörter: |
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| Umfang: |
21 |
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| Übergeordnetes Werk: |
Enthalten in: Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty - Cheah, Jonathan W. ELSEVIER, 2022, IS : an international journal : data bases, Oxford [u.a.] |
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| Übergeordnetes Werk: |
volume:52 ; year:2015 ; pages:34-54 ; extent:21 |
| Links: |
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| DOI / URN: |
10.1016/j.is.2015.03.005 |
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| Katalog-ID: |
ELV018404804 |
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| 520 | |a In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. | ||
| 520 | |a In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. | ||
| 650 | 7 | |a Trajectory pattern detection |2 Elsevier | |
| 650 | 7 | |a Complex event processing |2 Elsevier | |
| 650 | 7 | |a Abnormal behaviour detection |2 Elsevier | |
| 650 | 7 | |a Trajectory analysis |2 Elsevier | |
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| 700 | 1 | |a den Breejen, E. |4 oth | |
| 700 | 1 | |a Hanckmann, P. |4 oth | |
| 700 | 1 | |a Dekker, R. |4 oth | |
| 700 | 1 | |a Skarmeta-Gomez, A.F. |4 oth | |
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10.1016/j.is.2015.03.005 doi GBVA2015008000021.pica (DE-627)ELV018404804 (ELSEVIER)S0306-4379(15)00060-5 DE-627 ger DE-627 rakwb eng 070 070 DE-600 610 VZ 44.83 bkl Terroso-Saenz, F. verfasserin aut CEP-traj: An event-based solution to process trajectory data 2015transfer abstract 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. Trajectory pattern detection Elsevier Complex event processing Elsevier Abnormal behaviour detection Elsevier Trajectory analysis Elsevier Valdes-Vela, M. oth den Breejen, E. oth Hanckmann, P. oth Dekker, R. oth Skarmeta-Gomez, A.F. oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:52 year:2015 pages:34-54 extent:21 https://doi.org/10.1016/j.is.2015.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 52 2015 34-54 21 045F 070 |
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10.1016/j.is.2015.03.005 doi GBVA2015008000021.pica (DE-627)ELV018404804 (ELSEVIER)S0306-4379(15)00060-5 DE-627 ger DE-627 rakwb eng 070 070 DE-600 610 VZ 44.83 bkl Terroso-Saenz, F. verfasserin aut CEP-traj: An event-based solution to process trajectory data 2015transfer abstract 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. Trajectory pattern detection Elsevier Complex event processing Elsevier Abnormal behaviour detection Elsevier Trajectory analysis Elsevier Valdes-Vela, M. oth den Breejen, E. oth Hanckmann, P. oth Dekker, R. oth Skarmeta-Gomez, A.F. oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:52 year:2015 pages:34-54 extent:21 https://doi.org/10.1016/j.is.2015.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 52 2015 34-54 21 045F 070 |
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10.1016/j.is.2015.03.005 doi GBVA2015008000021.pica (DE-627)ELV018404804 (ELSEVIER)S0306-4379(15)00060-5 DE-627 ger DE-627 rakwb eng 070 070 DE-600 610 VZ 44.83 bkl Terroso-Saenz, F. verfasserin aut CEP-traj: An event-based solution to process trajectory data 2015transfer abstract 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. Trajectory pattern detection Elsevier Complex event processing Elsevier Abnormal behaviour detection Elsevier Trajectory analysis Elsevier Valdes-Vela, M. oth den Breejen, E. oth Hanckmann, P. oth Dekker, R. oth Skarmeta-Gomez, A.F. oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:52 year:2015 pages:34-54 extent:21 https://doi.org/10.1016/j.is.2015.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 52 2015 34-54 21 045F 070 |
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10.1016/j.is.2015.03.005 doi GBVA2015008000021.pica (DE-627)ELV018404804 (ELSEVIER)S0306-4379(15)00060-5 DE-627 ger DE-627 rakwb eng 070 070 DE-600 610 VZ 44.83 bkl Terroso-Saenz, F. verfasserin aut CEP-traj: An event-based solution to process trajectory data 2015transfer abstract 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. Trajectory pattern detection Elsevier Complex event processing Elsevier Abnormal behaviour detection Elsevier Trajectory analysis Elsevier Valdes-Vela, M. oth den Breejen, E. oth Hanckmann, P. oth Dekker, R. oth Skarmeta-Gomez, A.F. oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:52 year:2015 pages:34-54 extent:21 https://doi.org/10.1016/j.is.2015.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 52 2015 34-54 21 045F 070 |
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10.1016/j.is.2015.03.005 doi GBVA2015008000021.pica (DE-627)ELV018404804 (ELSEVIER)S0306-4379(15)00060-5 DE-627 ger DE-627 rakwb eng 070 070 DE-600 610 VZ 44.83 bkl Terroso-Saenz, F. verfasserin aut CEP-traj: An event-based solution to process trajectory data 2015transfer abstract 21 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. Trajectory pattern detection Elsevier Complex event processing Elsevier Abnormal behaviour detection Elsevier Trajectory analysis Elsevier Valdes-Vela, M. oth den Breejen, E. oth Hanckmann, P. oth Dekker, R. oth Skarmeta-Gomez, A.F. oth Enthalten in Pergamon Press Cheah, Jonathan W. ELSEVIER Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty 2022 IS : an international journal : data bases Oxford [u.a.] (DE-627)ELV007912846 volume:52 year:2015 pages:34-54 extent:21 https://doi.org/10.1016/j.is.2015.03.005 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 44.83 Rheumatologie Orthopädie VZ AR 52 2015 34-54 21 045F 070 |
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Enthalten in Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty Oxford [u.a.] volume:52 year:2015 pages:34-54 extent:21 |
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Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
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| author |
Terroso-Saenz, F. |
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ddc 070 ddc 610 bkl 44.83 Elsevier Trajectory pattern detection Elsevier Complex event processing Elsevier Abnormal behaviour detection Elsevier Trajectory analysis |
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ddc 070 ddc 610 bkl 44.83 Elsevier Trajectory pattern detection Elsevier Complex event processing Elsevier Abnormal behaviour detection Elsevier Trajectory analysis |
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ddc 070 ddc 610 bkl 44.83 Elsevier Trajectory pattern detection Elsevier Complex event processing Elsevier Abnormal behaviour detection Elsevier Trajectory analysis |
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Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
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Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
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Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
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Orthopedic sleep and novel analgesia pathway: a prospective randomized controlled trial to advance recovery after shoulder arthroplasty |
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cep-traj: an event-based solution to process trajectory data |
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CEP-traj: An event-based solution to process trajectory data |
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In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. |
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In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. |
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In this day and age, there exists an increasing need for systems and architectures able to process spatio-temporal data in a timely way. As a result, this paper presents CEP-traj, a novel middleware to ease the development of real-time trajectory-based services based on the Complex Event Processing (CEP) paradigm. By means of an event-based approach, the present middleware is able to detect a set of generic patterns along with meaningful changes of an entity׳s movement. In order to prove its suitability and feasibility, a vessel abnormal-behaviour detection system has been developed on the basis of the middleware׳s features. Finally, both synthetic and real datasets have been used to test the accuracy and performance of the middleware and the detection system implemented on top of the Esper engine. |
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CEP-traj: An event-based solution to process trajectory data |
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Valdes-Vela, M. den Breejen, E. Hanckmann, P. Dekker, R. Skarmeta-Gomez, A.F. |
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