Volume 5 | Issue 4 |

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Role of Kashmir problem Sheikh Mohammed Abdullah

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Role of Kashmir problem Sheikh Mohammed Abdullah

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One of the major challenge in cloud computing is providing security for the data. The main aim of this project is to provide a security for data in cloud and also to propose a proper key management system using key sharing technique with multiple key managers. To avoid unauthorized access to cloud data, access control mechanism must be enforced. Moreover, data leakage and data privacy strategies must be employed so that only authorized users can access and utilize data. Encryption techniques provide a solution to ensure privacy and confidentiality of stored data. Key management becomes a prime issue in the case of encryption. Cryptographic keys need to be stored and protected. Compromise or failure of a key storage facility may lead to the loss of data. Another issue in security for cloud data is that there is a man-in-the-middle attack. The intruder may access the user files illegally due to improper authentication system. This can be overcome by using proper authentication between user and cloud. The security concerns of outsourcing data to public clouds, serves as a motivation to work for the development of data security technique. We aim for a technique capable of addressing the aforementioned critical issues. We proposed a data security scheme that uses key manager servers for the management of cryptographic keys.

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Data Security for Cloud Environment with Semi-Trusted Third Party (DaSCE), Digital Encryption Standard (DES) and GFS (Google File System).

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Research on effective methods to deal with ever larger data sets has been gaining importance in recent years. The goal of clustering is to organize a data collection into clusters, such that items within each cluster are more similar to each other than to items in other clusters. While supervised clustering assumes that some information is available concerning the membership of data items to predefined classes, unsupervised clustering does not require a priori knowledge of data contents. There are many applications of unsupervised clustering in computer vision, pattern recognition, information retrieval, data mining, etc. The objective of this research work is focused on the ethical cluster creation of smartphone sensors data and analyzed the performance of partition based algorithms. Dataset consist of all the information gathered during the network connection established with wristwatch and smartphone, which needs to be, analyzed the performance of the proposed improved farthest first clustering algorithm.

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Clustering algorithms, Improved Farthest First algorithm, Density Based Cluster, Filtered Cluster, K-Means.

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Augmented Reality (AR) is a rising innovation that can be utilized to join the physical world with virtual world through visual interface. It expands this present reality by superimposing virtual universes to give more helpful data. The innovation can be connected for learning, diversion, training, or promoting by improving a clients impression of and association with this present reality. Along these lines we propose an AR-based upkeep framework which used to help administrators in support and repair rules applied to computer hardware maintenance. The proposed system will track 3D objects and augment the necessary maintenance instructions. These instructions may contain text ,image or 3D models. Also it will have facility to reconfigure the procedure if needed on operators demand. The system would evaluate by time required to complete maintenance operation as compared to paper based instruction

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Augmented reality,repair,maintenance, virtual reality,reconfigurable procedure, hardware maintenance

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Education is the most powerful instrument to change the values and attitude of the people and it creates in them the urge of necessary motivation to achieve social class ascendency, social mobility, sound economic system, and maintain a healthy, happy and prosperous life. It is believed that good school environment has a positive influence on the all round development of the students. The present study was probe to find the role of teacher in developing school environment and the relationship between school environment and academic achievement of the rural secondary school students. Finding shows that the teacher plays a significant role in developing school environment and it was also found that there exists a positive and significant relationship between school environment and academic achievement of the students.

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School Environment, Secondary School Students, Academic Achievement, Teacher

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In this paper variable scaling factor for a single ended primary inductance converter is used in adaptive voltage sensor based maximum power point tracking algorithm. The voltage level of PV panel is detected by voltage divider circuit. The most important for every system is to become stable. The method employed in this work can enhance the transient and steady state factor. The solar radiations are not constant; it varies throughout the day so tracking of radiation is difficult for maximum power. This method can track more efficiently and in steady state condition it makes the oscillation low. For testing the result MATLAB/SIMULINK is used in this work.

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Maximum power point tracking (MPPT), Photovoltaic (PV), Single-ended primary-inductance converter (SEPIC), Voltage Sensor.

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Inflammation is viewed as one of the major cause for the development of several diseases such as cancer, cardiovascular disease, osteoporosis, diabetes, obesity, rheumatoid arthritis, psoriasis and CNS related diseases. The use of modern medicines and steroids has been known to cause a lot of side effects and people these days are resorting to plant based natural medicines for their treatments. Compared to the natural sources from their terrestrial counterpart, the sources from the ocean has been less studied and treating diseases with these marine sources has been so far limited. Over the years, it has been known that seaweeds are abundant in curatively efficient bioactive constituents which are grouped under polyphenols and sulfated polysaccharides. These bioactive constituents could act as potential drug candidates paving way for research based on marine products. Inspite of these vast resources enriched with chemicals, the marine floras are largely unexplored for anti-inflammatory lead compounds. This review aims to explore how some natural sources from the marine ecosystem can be used in treating chronic inflammatory diseases.

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Anti- inflammatory, Marine algae, Polyphenols, Sulfated polysaccharides, Auto-immune diseases.

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Intellectual Capital Management is one of the ground-breaking techniques to scrutinize and assess various assets of a University in India. University is a place where in the input and output are the same and there is a lacunae in the management of intellectual capital, and there are no specific tools wherein all the intangible resources can be analysed with a valuation of intellectual assets. Universities are the sources of knowledge input and output it is a place where knowledge is enhanced and grown. Universities are knowledge factories. In India usually there are public universities, deemed-universities, private universities, research institutions, research and development institutes post graduate colleges etc. Intellectual Capital Management helps in the knowledge management of the University and also helps in effective performance.This paper purports to study the intellectual capital management in select universities of Andhra Pradesh in India with emphasis on demographic factors especially age, gender and experience of teaching fraternity of select sample universities.

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Intellectual Capital, Universities, demographic factors

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Skin disease is the most pervasive tumor in the light cleaned and it is by and large caused by introduction to the bright light. Skin layer is separated into Epidermis (external layer), Dermis (center layer) and Hypodermis (most profound layer). The epidermis has keratinocytes and melanocytes cells, these are in charge of our skin pigmentation which gives common assurance against sun beams. The majority of the skin malignancy is reparable at starting stages and the early discovery of skin disease has the potential to decrease mortality and bleakness. Programmed early malignancy discovery recognizes the harmful development from other skin ailments. There are sure one of a kind highlights for skin malignancy locales such features are separated utilizing curvelet transform technique. The Dermoscopic picture of skin growth is subjected to preprocessing and post processing for noise removal and image enhancement. In our proposed method on digital image processing and modified Kohonen network by neural grouping for arrangement reason, in addition this technique jumping to accomplish a controlled exactness level of grouping homogeneous segments of skin pictures. This paper displays an overview of early recognition of skin growth utilizing diverse propelled innovation, for example, an Artificial Neural Network, Fuzzy system and genetic Algorithm. In the survey many algorithms have been put forward in the scientific review.

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Modified Kohenon Network,Curvelet Transform,Segmentation ,Feature Extraction,Noise Removal.

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Genetic diversity analysis of 24 coloured and 8 white rice genotypes were conducted usingSSR and InDel markers. Among them, SSR markers such as RM5, RM 210, RM 251, RM 261, RM 490, RM 3859 and InDel marker RID 12, RID 13, RID 19 and RID 25 were capable to distinguish coloured rice genotypes. The PIC values ranged from 0.16 (RM 232) to 0.78 (RM 258) and 0.52 (RID 25) and 0.80 (RID 12) for SSR and INDEL markers respectively. The DICE similarity coefficient based on SSR and InDel analysis was 0.89 and 1.00, respectively while the cophenetic correlation (r) value for cluster analysis of SSR and InDel was 0.89 and 0.71, respectively. Molecular variance (AMOVA), F statistics and genetic variation statistics revealed that coloured rice genotypes were more genetically diverse than white rice genotypes. In the case of both SSR and INDEL markers highest genetic diversity was observed between Pankhali 203 (White pericarp) and IRST 1 (Red pericarp) whereas least genetic diversity was observed between RRT GR12 (Red pericarp) and Krishna Kamod (White pericarp). However, it was also found that black and brownpericarp isgeneticallysimilar to red pericarp. It was suggested from the conducted experiment to adopt SSR markers as it gave better results than InDel even though all InDel markers used in present study were also able to distinguish coloured rice genotypes.

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Red rice, SSR, INDEL, Polymorphism, Genetic diversity

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