پایان+نامه لاتین دکترا2015: به سمت سرویس های ذخیره سازی ابر امن

اختصاصی از نیک فایل پایان+نامه لاتین دکترا2015: به سمت سرویس های ذخیره سازی ابر امن دانلود با لینک مستقیم و پر سرعت .

 به سمت سرویس های ذخیره سازی ابر امن Towards secure cloud storage services   Abstract: Cloud computing is anticipated to revolutionize the Information and Communication Technology sector and has been a mainstream of research over the last decade. The cloud computing, upsurges the capabilities of the hardware resources by optimal and shared utilization. The above mentioned features encourage the organizations and individual users to shift their data, applications and services to the ...

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

اختصاصی از نیک فایل پایان 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. 

برای سفارش ترجمه این پایان نامه با تخفیفی باورنکردنی!

در ترجمه آن به سایت NFile.ir لطفا مراجعه بفرمایید.

 سایت ترجمه تخصصی ارزان و با کیفیت عالی : NFile.ir

پس از پرداخت آنلاین در پایین همین صفحه سریعا فایل پایان نامه  به صورت آنلاین برای شما ارسال می گردد.

.

پایان نامه لاتین دکترا2015: ارائه حفظ حریم خصوصی از ابرمسکونی (residential)

اختصاصی از نیک فایل پایان نامه لاتین دکترا2015: ارائه حفظ حریم خصوصی از ابرمسکونی (residential) دانلود با لینک مستقیم و پر سرعت .

 

 ارائه حفظ حریم خصوصی از ابر مسکونی residential

Providing privacy from the residential cloud

Abstract: The growth of mobile devices and computing has continued in recent years to the point where mobile network providers must not only upgrade their networks to serve the new traffic-intensive content that their users demand, but to actually turn to alternative methods of delivery, namely WiFi hotspots and femtocells. This demand is driven in part by the surge in streaming services, but also by the demand for ubiquitous access to data hosted in cloud services.

The increased connectivity has changed user expectations for access to their data. Cloud service providers have seen similar increases in their user bases as clients migrate from laptops and desktop computers to tablets and smartphones. The amounts of data and computation performed in cloud services has always been of interest to eavesdroppers, and their growth can only make it more valuable to them. In such a world, a growing dependency on centralized providers makes them single points of failures for privacy threats.

In this work we show our prototyping work implemented over our own testbed for residential devices that we will also use for implementation and evaluation, and describe the proposed work to solve the research problems emerging in this context. We illustrate the vulnerability of what is considered the most secure implementation of WiFi, and devise a novel attack using a multi-layered targeted approach that makes the attack hard to detect yet having long range and effectively invisible to the victim.

We present the OpenInfrastructure system, a home-broadband research platform built on off-the-shelf components and open source software deployed over 30 Access Points through Boston, Houston and San Francisco urban areas. The data obtained over the course of the project since February 2011 confirms the ongoing trends in home broadband Internet access, and highlights the feasibility of providing network access over home installations. Finally we show how to improve privacy in network access is illustrated using Private Information Retrieval techniques over installations of tens of millions of users. We implement and evaluate the performance of the PIR as an EAP protocol extension, making it readily usable by providers and clients

. 

برای سفارش ترجمه این پایان نامه با تخفیفی باورنکردنی!

در ترجمه آن به سایت NFile.ir لطفا مراجعه بفرمایید.

 سایت ترجمه تخصصی ارزان و با کیفیت عالی : NFile.ir

پس از پرداخت آنلاین در پایین همین صفحه سریعا فایل پایان نامه  به صورت آنلاین برای شما ارسال می گردد.

.