R. Vinoth*, B. Guruprasath and B. N. Karthik
The vulnerability of Cloud Computing Systems (CCSs) to Advanced Persistent Threats (APTs) is significant. So a cloud architecture reference model that incorporates a wide range of security controls and best practices, and a cloud security assessment model – Cloud-Trust – that estimates high level security metrics to quantify the degree of confidentiality and integrity offered by a CCS or cloud service provider (CSP) is used. Cloud-Trust is used to assess the security level of four multi-tenant IaaS cloud architectures equipped with alternative cloud security controls and to show the probability of CCS penetration (high value data compromise) is high if a minimal set of security controls are implemented. CCS penetration probability drops substantially if a cloud defense in depth security architecture is adopted that protects virtual machine (VM) images at rest, strengthens CSP and cloud tenant system administrator access controls, and which employs other network security controls to minimize cloud network surveillance and discovery of live VMs
Rajkumar M. Chauhan
E-Agriculture focuse on the enhancement of agricultural and rural development through improved information and communication processes. More specifically, e-Agriculture involves the conceptualization, design, development, evaluation and application of innovative ways to use information and communication technologies (IT) in the rural domain, with a primary focus on agriculture. E-Agriculture is a relatively new term and we fully expect its scope to change and evolve as our understanding of the area grows. Indian Agriculture contributes to 18.6 per cent of India’s GDP, and approximately 59 per cent Indians derive their livelihood from the agricultural sector. Private sector initiatives like contract farming have commercialized the Indian agricultural sector. To enable Community members to exchange opinions, experiences, good practices and resources related to e-Agriculture, and to ensure that the knowledge created is effectively shared and used worldwide.But There is some advantages and drawback which reside in every technology.This paper gives some glims What the technologies give and take in area of agriculture.
Parag Shukla1, Bankim Radadiya2 and Kishor Atkotiya3
The data in amount of large size in world is growing day by day. Data is growing because of use of digitization, internet, smart cell and social media and networking. A collection of data sets which is very large in size as well as complex is called Big Data which is use in current trend and next generation data transformation, data analysis and data storage of agricultural crops, seeds, works, labors, tools and environment data. Generally before current scenario, size of the data is measure in Megabyte and Gigabyte but now a day it measure in Petabyte and Exabyte.
Traditional database systems are not able to capture, store and analyze this large scale of data. As the internet is growing, amount of big data continue to grow. Big data analytics provide new ways for businesses updates and requirement for updating and government to analyze unstructured data. Now a days, Big data is one of the most important and challenging point in information technology world. It is executing very important role in future.
Big data changes the way of world for management and use big amount of data. Some of the applications are in areas such as medical issues, healthcare, traffic issues, banking management, retail management, education and so on. Organizations are becoming more reliable & flexible and more open. Figure 2 is display a big data and analytics road map for large amount of data analysis and storage.PDF Downloads: 100
Many practitioners and researcher have stated that the widespread of Computer Support of Collaborative work has not been as successful as hoped. There have been many challenges that have faced managers and team members when conducting collaborative work sessions in the virtual environment. Collaboration Script is considered a relatively a new approach in assisting designing successful collaboration sessions. Collaboration Script is a script that formally defines the flow of activities that are needed during a collaboration session. Yet, researchers have been uncertain regarding the complexity nature of such scripts.
The key strength of the proposed framework is in its ability to derive a collaborative scripting language that can describe complex designs and in the same time keeps its simplicity. The resulted scripting language should be similar to software programming scripting languages and in the same time based on profound collaboration techniques. Team leaders and managers with basic programming skills should be able to adopt and use such language in a short time and in the same time not afraid of designing complex team collaboration sessions.
The proposed framework is composed of four main layers. The First layer is based on well known collaborative techniques that contain a set of mini-activities which are located in the second layer. The third layer formulates the notation and rules of the proposed scripting language. It encloses the required components and commands that should be used in such script. The forth layer provides the needed support to implement such scripts by providing appropriate set of collaborative and supportive tools.PDF Downloads: 95
A Novel Approach to Group Research Proposal and Allocate the Research Reviewer by Using Text-Mining and Clustering
Geeta Dangar*, Vipul Vekariya, Daxa Vekariya
In any of the organizations many efforts is taken for research project selection.It is necessary for each research proposal, before it given to the appropriate experts, research proposals needed grouping according to their research topics and area of research. In this paper clustering methods and text data mining approaches are used to group research proposals and give it to expert reviewer for reviewing the proposals. This paper uses the real data of BNSF (Beijing Natural Science Foundation).PDF Downloads: 88