Cloud computing is an internet based computing which enables sharing of services. Many users place their data in the cloud, so the misuse of data and safeguarding the Cloud Service Provider and Cloud User is a prime concern. This work studies the problem of ensuring Cloud Service Provider and Cloud User both do not take advantage of each other data storage in cloud computing environment. By data outsourcing, users can be relieved from the burden of local data storage and maintenance. However, the fact that cloud users no longer have physical possession of the possibly large size of outsourced data makes the data integrity protection in Cloud Computing a very challenging. Moreover, users should be able to just use the cloud storage as if it is local, without worrying about the need to verify its integrity. Thus, enabling public audit ability for cloud storage is of critical importance so that users can resort to a third party auditor to check the integrity of outsourced data and be worry-free. The new auditing scheme effectively does not bring in no new vulnerabilities towards user data privacy, and introduce no additional online burden in terms of computational overhead to cloud user. This new scheme privacy-preserving public auditing process is implemented and performance of such audited with respect to its computation overhead and timing have being analyzed .
Keywords: Data storage, privacy-preserving, public auditability, cryptographic protocols, cloud computing.
Socio-demographic features have been reported as an important factor in human attachment to places in several studies. So, regarding the role of public spaces on human social life, this study tries to examine this effect in a certain case in Iran regarding some socio-demographic indicators like: gender, age, education, marriage statue and job. With this aim, we surveyed place attachment in one of the most important public spaces in Mahabad, based on four its dimensions: functional, emotional, behavioral and cognitive attachment. Therefore, significance of the correlations between those socio-demographic indicators and different aspects of place attachment was evaluated. The interviews carried out with 598 of Mahabad citizens that participated in this study by random selection. We analyze the result with SPSS software applying T-test, Pearson correlation and F-test (ANOVA) exams. The results indicate, in comparison with other examined indicators; only user's education level had significant relation with the place attachment degree and its emotional dimension. In addition, singles, older participants and also labors group reported more behavioral attachment to the place.
Keywords: Attachment to place, education, Gender, marital status and occupation.
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Image Enhancement is simple and most appealing area among all the digital image processing techniques. The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. The principal objective of image enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer. During this process, one or more attributes of the image are modified. The choice of attributes and the way they are modified are specific to a given task. Moreover, observer-specific factors, such as the human visual. Whenever an image is converted from one form to other such as digitizing the image some form of degradation occurs at output. Improvement in quality of these degraded images can be achieved by using application of enhancement techniques. Various enhancement schemes are used for enhancing an image which includes gray scale manipulation, filtering and Histogram equalization. Histogram equalization is one of the well known image enhancement technique. In this paper comparative analysis of different enhancement techniques has been carried out. Dfferent parameter for each of the technique is also calculated.
Keywords: Contrast enhancement, Histogram equalization, PSNR, MSE NAE, CPSNR, Visual quality.
The traffic flow condition in India is highly heterogeneous. This study aims at defining the Level of Service (LOS) categories for highly heterogeneous traffic condition for urban streets in Indian context. Global Positioning System (GPS) is used as a powerful tool for collecting speed data at every one second interval. For this study Free Flow Speed (FFS) data and average travel speed data are collected on five corridors of Mumbai city. These speed data are analyzed using neural gas clustering method. The optimal number of clusters is obtained using six validation parameters. Neural gas is used two times in this study process. First neural gas is applied on FFS data to obtain the speed ranges of different urban street classes. Second time neural gas is used on the average speed data to obtain the speed ranges of different LOS categories. The above study confirms that the FFS ranges for different urban street classes and speed ranges for different LOS categories are found to be lower than that suggested by HCM 2000.
Keywords: Clustering, Free Flow Speed, Global Positioning System, Level of Service, Neural gas
To maintain voltage & power losses are within the acceptable limits at normal, over load and contingency conditions different types of techniques are used in power system. FACTS devices are more predominated than compared to other techniques. But, the cost of the FACTS devices are costlier, were optimally placed using a heuristic method. In this paper SVCs & IPFCs are optimally placed in different load & contingency conditions using PSO. The simulations are performed on an IEEE 30-bus system and results are presented.
Keywords: SVC, IPFC, over load, Contingency, Power loss, Voltage profile, PSO, IEEE 30 bus.
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