ایان نامه لاتین دکترا2015:GAL: مدل گام به گام برای خودکار تشخیص سایه ابر در HICO تصاویر اقیانوسی

اختصاصی از یاری فایل ایان نامه لاتین دکترا2015:GAL: مدل گام به گام برای خودکار تشخیص سایه ابر در HICO تصاویر اقیانوسی دانلود با لینک مستقیم و پر سرعت .

 
GAL: مدل گام به گام برای خودکار تشخیص سایه ابر در HICO تصاویر اقیانوسی با استفاده از فیلتر های هدایت شونده، اختصاص پیکسل، و پیوندهای هندسی

GAL: A stepwise model for automated cloud shadow detection in HICO oceanic imagery utilizing guided filter, pixel assignment, and geometric linking

Abstract: Detection of cloud shadow pixels is an important step in image processing in several remote sensing ocean-color application domains, such as obtaining chlorophyll content. While shadow detection algorithms do exist, the vast majority are for over land which leaves few options for detection over water.

The detection of cloud shadow over water in HICO imagery is a unique problem. As its name implies, HICO (Hyperspectral Imager for the Coastal Ocean) imagery is produced for coastal and oceanic regions. Since land based algorithms remove water before processing, these approaches would not be applicable. The only currently published HICO shadow pixel detection algorithm produces good results for predominantly homogeneous regions. It also involves hand-tuning of the parameters, which is not suitable for automation.

GAL is a fully automated stepwise model that starts by using satellite imagery and navigational data. The next step is applying the guided filter algorithm proposed by He, Sun, and Tang to these images in order to filter and enhance the images before shadow detection. The third step classifies pixels into water, land, and clouds. The fourth step uses cloud shadow geometry to indicate possible shadow pixels. The final step is to reduce the amount of possible shadow pixels to the most probable shadow pixels.

This research combines the past techniques of cloud shadow geometry, edge detection, and thresholding, along with the new techniques of guided image filtering, in such a way that has never been done before. GAL works best with well-defined cloud shadows that contain a large contrast between water and shadow. Water type, coastal or deep ocean, does not affect GAL. Shadows with a large gradient may be under-detected. GAL can be applied to HICO data immediately, with the potential of being applied to all global high resolution ocean-color satellite imagery. e. 

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پایان نامه لاتین دکترا2015: یک روش برای حمایت از تحرک در شبکه نرم افزار تعریف شده بر اساس محاسبات ابری همراه

اختصاصی از یاری فایل پایان نامه لاتین دکترا2015: یک روش برای حمایت از تحرک در شبکه نرم افزار تعریف شده بر اساس محاسبات ابری همراه دانلود با لینک مستقیم و پر سرعت .

 
یک روش برای حمایت از تحرک در شبکه نرم افزار تعریف شده بر اساس محاسبات ابری همراه

An approach for mobility support in software defined network based mobile cloud computing

Abstract:   There has been a phenomenal increase in the applications developed specifically for use on mobile devices, such as smart phones, which are connected to the cloud computing environment. For the applications to execute efficiently on mobile devices, in conjunction with peer applications executing on cloud infrastructure, efficient mobility support by the Internet Service Providers (ISPs) and migration of processing support provided by peer applications executed on different servers are required. Currently, mobility support is provided by ISPs using mobility support extension of IPV4 and mobility support of IPV6. This support is not efficient because of the way the control plane functions are performed in the current Internet. Software Defined Network (SDN), which is expected to be the technology on which future Internet will be based, offers four critical innovations which can satisfy the dynamic computing and storage needs of new services and modalities. These innovations are: "control plane" and "data plane" separation, "control plane centralization," "control plane programmability," and "standardization of application programming interfaces (APIs)." One such modality is Mobile Cloud Computing (MCC). One of the central issues to be addressed in MCC is mobility support. We have proposed an approach for mobility support in SDN based MCC which will enable applications to execute efficiently on mobile devices, in conjunction with peer applications executing on cloud infrastructure. We plan to use existing protocols, as they are or with some modifications, to provide efficient mobility support for the End Systems which use MCC as a computing paradigm. e. 

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