Cloud computing, a rapidly developing information technology has brought new change & opportunities to IT industry and in the field of education. E-learning platform brings a brand new concept & is a kind of network information learning mode & also known as online learning to guide education. E-learning emphasizes on the technology to transform & guide education. E-learning system will use the cloud computing that introduces efficient scale mechanism. In this paper we proposed cloud computing to e-learning from the following aspects: its work mode, services, business model, benefits & issues. Our results suggest that the introduction of cloud computing to e-learning is feasible & to bring greater clarity landscape about cloud computing benefits.

Persons with disabilities also face multiple physical political social, economic, and handicaps, hampering their freedom of participation and development in society. These barriers include misunderstanding and stigmatization of the abilities and aspirations of persons with disabilities. There is also a pronounced lack of informational data, rules and regulations, rehabilitation centers, and mainstreaming and specialized services for persons with disabilities. The any objective of the present study to find out the problems faced by the parents of disables people. The present study was conducted in District Faisalabad. Multistage sampling technique was used for data collection. At the first stage two institutions (Govt. Special Education Center Jaranwala and Govt. Special Education Center Tandianwala) were selected purposively. At the second stage made a list of rural disabled children’s mothers from the school record. At the third stage 120 mothers (60 from each institute) were selected randomly from the list.

The present study was conducted for the time period of one year (April, 2009- March 2010) with an aim to find out the physico-chemical nature of water at different sites of River Jehlum in order to access the physical properties and chemical nature of its water and the impact of site/s on their concentration. Three sites were selected for the study purpose and the samples were collected on monthly bases. The samples thus collected were processed for the detection of metals with their relative concentrations following the standard methods. It was observed that the concentration of these metals was varying with respect to the collection sites, so was the case with respect to its physical nature. Also it was observed that there was a difference in concentration of these elements at different sites when compared among them selves. The data of physico-chemical nature of water of river Jehlum obtained during the study have been mentioned in Table 1. Furthermore it was also observed that concentration of some of these elements was more than the permissible limits as recommended by WHO which could have a definite impact on life. Keeping the same in view the present study was taken into consideration in which an attempt was made to access the water quality of River Jehlum and it is believed that this study would be helpful in formulating control strategy in near future.

Basic mind set of any type of Investor is to manage the risk and maximize the returns. The common phenomenon in managing the risk is, not to put all the eggs in one basket in financial markets and this phenomenon is known as diversification. The diversification required choosing which baskets to put your eggs in; and most importantly how much? This question and lack of expertise to invest in the financial markets given birth to the mutual funds, along with the entrepreneurial mind set of the financial market experts. The financial market experts found a gap and translated it in to the win-win situation for those who doesn’t exactly know when and where to invest and minimizing the risk through efficient management of funds through large portfolios, having enough capital to divest.

Adhoc wireless networks have emerged as one of the key growth areas for wireless3 networking and computing technology. Adhoc networks are a new wireless networking paradigm for mobile hosts. Unlike traditional mobile wireless networks, adhoc networks do not rely on any fixed infrastructure. Instead, hosts rely on each other to keep the network connected. The nodes in ad-hoc networks are battery operated and have limited energy resources, which is indeed a key limitations. Each node consumes a large amount of energy while transmission or reception of packets, among the nodes. While the nodes depend on each other for efficient transferring of packets, it is a key issue in adhoc networks to have efficient methods for forwarding of packets between any given pair of nodes, with minimum power consumption and less number of intermediate nodes . In this study we propose an optimal routing protocol called MARI (Mobile Agent with Routing Intelligence). The MARI Topology proposed for power management is novel and is used for the consumption of minimum power in an adhoc wireless network, at each node. The Protocol groups the network into distinct networks with the selection of MARI nodes and Gateways for efficient packet transmission between any member node pair. The operational cycle at each node is classified into four distinct operations, i.e., transmitting, receiving, idle and sleep cycle, in order to achieve efficient power management in an Adhoc wireless network.

In this paper, we apply Laplace homotopy analysis method for solving various fractional heat- and wave-like equations. This method is combined form of homotopy analysis method and Laplace transform. The proposed algorithm presents a procedure of construct the base function and gives a high order deformation equation in simple form. The purpose of using the Laplace transform is to overcome the deficiency that is mainly caused by unsatisfied conditions in the other analytical techniques. Numerical examples demonstrate the capability of LHAM for fractional partial differential equations.

The World Wide Web has become an invaluable information resource but the explosion of information available via the web has made web search a time consuming and complex process. Index-based search engines, such as AltaVista, Google or Info seek help, but they are not enough. This paper describes the rationale, architecture, and implementation of a next generation information gathering system – a system that integrates several areas of Artificial Intelligence (AI) research under a single umbrella. Our solution to the information explosion is an information gathering agent, IIR , that plans to gather information to support a decision process, reasons about the resource trade-offs of different possible gathering approaches, extracts information from both unstructured and structured documents, and uses the extracted information to refine its search and processing activities.

This paper emphasis on spatial feature extractions and selection techniques adopted in content based image retrieval that uses the visual content of a still image to search for similar images in large scale image databases, according to a user’s interest. The content based image retrieval problem is motivated by the need to search the exponentially increasing space of image databases efficiently and effectively. It is also possible to classify the remotely sensed image to represent the specific feature of the target images. In this research we first imposed the Fuzzy C-means algorithm to our sample image and observed its value. After getting the experimental result from Fuzzy C-means we have had designed Ontological Matching algorithm which aftereffect better than the previous one. We have had espy that our Ontological Matching algorithm is twenty (20%) percent better than Fuzzy C-means algorithm.

APRIORI algorithm is a popular data mining technique used for extracting hidden patterns from data. This paper highlights practical demonstration of this algorithm for association rule mining over a survey data set of students related to social network usage. We concluded with discussions on the number of research observations including new rules generated during the process.

Mobile Ad hoc networks (MANET) are considered as promising communication networks in situations where rapid deployment and self-configuration is essential. In ad hoc networks, nodes are allowed to communicate with each other without any existing infrastructure. Typically every node should also play the role of a router. This kind of networking can be applied to scenarios like conference room, disaster management, battle field communication and places where deployment of infrastructure is either difficult or costly. Many routing protocols exist to enable communication in ad hoc networks like, DSR [2], AODV [1], DSDV [3], etc. All these protocols assume that the source and destination nodes can reach each other using a single or multi-hop path. But, there exist situations when connectivity between source and destination cannot be guaranteed always. DSR [2] delivers data in a MANET with the assumption that the network is connected DSR, fails when the network is partially connected, source and destination are in different partitions. Connectivity in the network is very low for less number of nodes in the network. As the density of nodes increases, connectivity improves. In this Paper we mainly focus on these kinds of networks.We discuss the challenges in Moblie ad hoc network ands more topology related details and the applicability of one of the existing routing schemes (DSR) on these networks in the forthcoming sections. In this paper we proposed SDSR(Smart DSR protocol) which deliver data in a partially connected ad hoc network.