Predictive queries on moving objects databases / (Record no. 78892)
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000 -LEADER | |
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fixed length control field | 03233cam a2200337 a 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | EG-GiCUC |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250223032634.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 201122s2020 ua d f m 000 0 eng d |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | EG-GiCUC |
Language of cataloging | eng |
Transcribing agency | EG-GiCUC |
041 0# - LANGUAGE CODE | |
Language code of text/sound track or separate title | eng |
049 ## - LOCAL HOLDINGS (OCLC) | |
Holding library | Deposite |
097 ## - Thesis Degree | |
Thesis Level | Ph.D |
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
Classification number | Cai01.20.04.Ph.D.2020.Mo.P |
100 0# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Mohammed Abdalla Mahmoud Youssif |
245 10 - TITLE STATEMENT | |
Title | Predictive queries on moving objects databases / |
Statement of responsibility, etc. | Mohammed Abdalla Mahmoud Youssif ; Supervised Hoda Mokhtar Omar Mokhtar , Neveen Elgamal |
246 15 - VARYING FORM OF TITLE | |
Title proper/short title | الاستعلامات التنبؤية على قاعدة بيانات الكائنات المتحركة |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Cairo : |
Name of publisher, distributor, etc. | Mohammed Abdalla Mahmoud Youssif , |
Date of publication, distribution, etc. | 2020 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 80 Leaves : |
Other physical details | charts ; |
Dimensions | 30cm |
502 ## - DISSERTATION NOTE | |
Dissertation note | Thesis (Ph.D.) - Cairo University - Faculty of Computers and Artificial Intelligenc - Department of Information Systems |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Future trajectory prediction for moving objects, e.g., vehicles, has a significant impact on many location-based services such as location-aware search, traffic management, mobile advertising, and travel guidance. The existing techniques which predict the future path(s) of moving objects depend mainly on their motions history to perform the prediction process. As a result, these techniques fail when moving objects{u2019} history is unavailable. This thesis aims to present efficient solutions for predicting the trajectories of moving objects without relying on their past trajectories. The proposed solutions include - (1) SimilarMove: a similarity-based prediction system for moving object future path, (2) DeepMotions: a deep learning system for moving object future path prediction, and (3) SAM: a spatial attention model for future trajectory prediction.The main idea of SimilarMove is obtaining the future paths of the query moving object in terms of other objects currently moving similar to the query object. After that, SimilarMove employs a Hidden Markov Model that receive these similar trajectories as an input and generates the possible future paths with their related probabilities as an output.The DeepMotions extracts the latent motion patterns from K nearest neighbor similar objects moving like the query moving object. Then, a Bi-directional recurrent deep-learning model is built based on these extracted motions and generate predictions. The main idea of SAM is to generate predictions by not scanning the whole input trajectory sequence but, focuses only on the significant positions of the input trajectory sequences to produce the output. This allows the internal representation of input trajectories to be refined based on the relevant information from the query object. Then, by gathering relevant information into the final representation, only the necessary information is provided to predict the final answer of the query object |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
Additional physical form available note | Issued also as CD |
653 #4 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Moving objects databases |
653 #4 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Predictive queries |
653 #4 - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | SAM |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Hoda Mokhtar Omar Mokhtar , |
Relator term | |
700 0# - ADDED ENTRY--PERSONAL NAME | |
Personal name | Neveen Elgamal , |
Relator term | |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a> |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
Cataloger | Nazla |
Reviser | Revisor |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
Cataloger | Shimaa |
Reviser | Cataloger |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Thesis |
Source of classification or shelving scheme | Not for loan | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Koha item type | Copy number |
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Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 11.02.2024 | Cai01.20.04.Ph.D.2020.Mo.P | 01010110082116000 | 22.09.2023 | Thesis | ||
Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | مخـــزن الرســائل الجـــامعية - البدروم | 11.02.2024 | Cai01.20.04.Ph.D.2020.Mo.P | 01020110082116000 | 22.09.2023 | CD - Rom | 82116.CD |