Amr Qamar | Cairo University (original) (raw)
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Graduate Center of the City University of New York
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Papers by Amr Qamar
Communication, ocean, and meteorological satellite (COMS) is a geostationary satellite system whi... more Communication, ocean, and meteorological satellite (COMS) is a geostationary satellite system which performs multi-mission such as communications services, ocean data acquisition, and meteorological data acquisition. Each mission is operated by different users, but it is the COMS satellite ground control system (SGCS) that practically controls all missions at an end. Therefore, all requests for performing the COMS mission have to be collected into COMS SGCS, and then the gathered mission requests shall be converted into the command to be transmitted to satellite after scheduling the requested mission in an optimal schedule. This paper introduces mission planning system and process which gathers mission requests, performs interactive mission scheduling, and generates command plan in order to carry out the various satellite missions of the COMS. First of all, we will see the system configuration and developing environment for mission planning. This paper will describe the main functions such as mission request gathering, mission scheduling, mission timeline reporting, and command planning. It deals with the role and design of each function in detail, and finally represents the operation concept to have the operator perform the mission planning efficiently when the COMS will be on orbit later on
This contract provided for the packaging and distribution of the planning and scheduling toolkit ... more This contract provided for the packaging and distribution of the planning and scheduling toolkit developed for the SWAS (Submillimeter Wave Astronomy Satellite). This work is complete and the planning and scheduling software is available for browsing and download at its own web site
European Journal of Operational Research, 2002
We consider a satellite following orbits around the earth in order to take shots corresponding to... more We consider a satellite following orbits around the earth in order to take shots corresponding to images requested by various customers. The daily operations of such a satellite consist of defining a feasible and satisfactory shot sequence. This problem involves both combinatorial and multiple criteria difficulties. Indeed, the number of feasible shot sequences grows significantly with the number of images asked for, and the evaluation of a shot sequence is based on several conflicting criteria. We propose to formulate this problem as the selection of a multiple criteria path in a graph without circuit. Our approach for solving this problem involves two stages: generation of efficient paths and selection of a satisfactory path using a multiple criteria interactive procedure. Ó
Aerospace Science and …, 2002
This article concerns the problem of managing the new generation of Agile Earth Observing Satelli... more This article concerns the problem of managing the new generation of Agile Earth Observing Satellites (AEOS). This kind of satellites is presently studied by the French Centre National d'Études Spatiales (PLEIADES project). The mission of an Earth Observing Satellite is to acquire images of specified areas on the Earth surface, in response to observation requests from customers. Whereas non-agile satellites such as SPOT5 have only one degree of freedom for acquiring images, the new generation satellites have three, giving opportunities for a more efficient use of the satellite imaging capabilities. Counterwise to this advantage, the selection and scheduling of observations becomes significantly more difficult, due to the larger search space for potential solutions. Hence, selecting and scheduling observations of agile satellites is a highly combinatorial problem. This article sets out the overall problem and analyses its difficulties. Then it presents different methods which have been investigated in order to solve a simplified version of the complete problem: a greedy algorithm, a dynamic programming algorithm, a constraint programming approach and a local search method.
Communication, ocean, and meteorological satellite (COMS) is a geostationary satellite system whi... more Communication, ocean, and meteorological satellite (COMS) is a geostationary satellite system which performs multi-mission such as communications services, ocean data acquisition, and meteorological data acquisition. Each mission is operated by different users, but it is the COMS satellite ground control system (SGCS) that practically controls all missions at an end. Therefore, all requests for performing the COMS mission have to be collected into COMS SGCS, and then the gathered mission requests shall be converted into the command to be transmitted to satellite after scheduling the requested mission in an optimal schedule. This paper introduces mission planning system and process which gathers mission requests, performs interactive mission scheduling, and generates command plan in order to carry out the various satellite missions of the COMS. First of all, we will see the system configuration and developing environment for mission planning. This paper will describe the main functions such as mission request gathering, mission scheduling, mission timeline reporting, and command planning. It deals with the role and design of each function in detail, and finally represents the operation concept to have the operator perform the mission planning efficiently when the COMS will be on orbit later on
This contract provided for the packaging and distribution of the planning and scheduling toolkit ... more This contract provided for the packaging and distribution of the planning and scheduling toolkit developed for the SWAS (Submillimeter Wave Astronomy Satellite). This work is complete and the planning and scheduling software is available for browsing and download at its own web site
European Journal of Operational Research, 2002
We consider a satellite following orbits around the earth in order to take shots corresponding to... more We consider a satellite following orbits around the earth in order to take shots corresponding to images requested by various customers. The daily operations of such a satellite consist of defining a feasible and satisfactory shot sequence. This problem involves both combinatorial and multiple criteria difficulties. Indeed, the number of feasible shot sequences grows significantly with the number of images asked for, and the evaluation of a shot sequence is based on several conflicting criteria. We propose to formulate this problem as the selection of a multiple criteria path in a graph without circuit. Our approach for solving this problem involves two stages: generation of efficient paths and selection of a satisfactory path using a multiple criteria interactive procedure. Ó
Aerospace Science and …, 2002
This article concerns the problem of managing the new generation of Agile Earth Observing Satelli... more This article concerns the problem of managing the new generation of Agile Earth Observing Satellites (AEOS). This kind of satellites is presently studied by the French Centre National d'Études Spatiales (PLEIADES project). The mission of an Earth Observing Satellite is to acquire images of specified areas on the Earth surface, in response to observation requests from customers. Whereas non-agile satellites such as SPOT5 have only one degree of freedom for acquiring images, the new generation satellites have three, giving opportunities for a more efficient use of the satellite imaging capabilities. Counterwise to this advantage, the selection and scheduling of observations becomes significantly more difficult, due to the larger search space for potential solutions. Hence, selecting and scheduling observations of agile satellites is a highly combinatorial problem. This article sets out the overall problem and analyses its difficulties. Then it presents different methods which have been investigated in order to solve a simplified version of the complete problem: a greedy algorithm, a dynamic programming algorithm, a constraint programming approach and a local search method.