Two efficient broadcasting algorithms based on 1-hop neighbor information is implemented here, i.e. Sender-based broadcasting algorithm and receiver-based broadcasting algorithm. The sender-based broadcasting algorithm selects a subset of nodes to forward the message. An efficient sender-based broadcasting algorithm proposed here is based on 1-hop neighbor information where the number of forwarding nodes selected in the worst case is 11 which reduces the time complexity of computing forwarding nodes to O (n). An elementary and extremely competent receiver-based broadcasting algorithm is also implemented. When nodes are uniformly distributed, the chance of two neighbor nodes broadcasting the same message exponentially diminishes when the distance between them decreases or when the node density increases. Using simulation, the results demonstrates that, the number of broadcasts in our proposed receiver-based broadcasting algorithm can be even less than one of the best known approximations.

Security is a key issue in Data Warehouses. Data warehousing poses its own set of challenges for security. One major challenge is that enterprise data warehouses are often very large systems, serving many user communities with varying security needs. Thus, the data warehouses require a flexible and powerful security infrastructure. The Security applications, must prevent unauthorized users from accessing or modifying data; the applications and underlying data must not be susceptible to data theft by hackers; the data must be available to the right users at the right time; and the system must keep a record of activities performed by its users. A successful authentication takes place if a user can prove to a server that he/she knows the shared secret without actually transmitting that secret across the wire. Here we use the Token-based authentication for access the data in Data Warehouse Server. Token Based authentication is a security technique that authenticates users who are attempting to log in to a server, a network, or some other secure system.

Keywords: Data warehouse, security, Authentication, Token-Based authentication.

Radio-over-Fibre (RoF) is an optical communication technique based on the transmission of standard wireless radio signals though optical Fibre in their native format. The optical Fibre provides a huge bandwidth that can support a variety of wireless systems, regardless of their frequency bands, being protocol-transparent which is reflected in great network flexibility. Radio-over- Fibre techniques enables a high user capacity by frequency reuse, simplifies the network operation as the signals are distribute in their native format, and permits to transfer signal part of the processing power from the base station units to the central control station, thus reducing the overall deployment cost and complexity.   The paper explores some of the advantages that radio over technologies can bring to wireless networks when combined with cognitive radio techniques.

The model presents an efficient Finite State Machine on Hoshen-Kopelman (HK) using the nearest eight neighborhood rule .This approach uses the classical iterative Cluster Labeling method for the digital 3-D images. The model is going to propose the system where classical iterative can be implemented in passes and concentrates on test data, binary and color images on any mobile devices as well as randomly generated data for the cluster identification. Though conversation was provided along with a probable remedy for hardware blueprints.

The swarm intelligence paradigm has established to have very interesting properties such as robustness, flexibility and ability to solve complex problems exploiting parallelism and self-organization. Several robotics implementations of this paradigm confirm that these properties can be exploited for the control of a population of physically autonomous mobile robots. Swarm robotics is a new approach to the coordination of large numbers of relatively simple robots which takes its inspiration from social insects. This paper analyzes different algorithms that are designed for the working of a swarm robot and how they enable the multiple physical quadrupedal robots to diagnose and recover when placed in unanticipated situations. The algorithms dealt in this paper are explained on the basis of two projects where in the technical and practical aspects are examined based on the theoretical approach.

This paper proposes an approach for the segmentation of color images using CIELab color space and Ant based clustering.  Image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain visual characteristics. The objective of segmentation is to change the image into meaningful form that is easier to analyze. This paper elaborates the ant based clustering for image segmentation. CMC distance is used to calculate the distance between pixels as this color metric gives good results with CIELab color space. Results show the segmentation using ant based clustering and also verifies that number of clusters for the image with the CMC distance also varies. Clustering quality is evaluated using MSE measure.

As we, all know that in every field it is very important to have quality of services. In the field of Real-time, applications like ATM and Wi-Fi are few examples. Some metrics for quality of services are Cost, Flexibility, Reliability and Efficiency. In this paper, we deal with quality of services in relation to admission control of the packets. In admission control, it should concentrate on scheduling and routing that at which time a packet should sent from source to destination for less jitter and delay. There should be regular intervals of checkpoints, which show statistics of the networks that how the packets are, delivered.
Keywords- WI-Max, Scheduling, Routing, Admission-Control, Traffic-Management.

Eye movements are the key to human thought process. Tracing these movements, with or without the knowledge of the user, as an input can be leveraged to several intelligent and intuitive design interfaces. An attempt is made to develop a computationally efficient and cost effective application for visual scan path analysis by real time eye tracking using a low resolution USB web camera. Eye ball movement can be followed by obtaining the image of the eye using the camera, mounted on the system, interfaced with LabVIEW. The glint- reflection of the light source formed on the pupil in the eye ball acts as the ROI (Region of Interest) and can be located in the real time images of the eye. The glint is tracked in the incoming video stream and monitored to trace the scan path. The LabVIEW VI gives the coordinates of the glint which are stored in the database. As a test application, a scenario is developed for diagnosis of special learning disorders in children.
Keywords-ROI; Glint; Tracking; Special Learning Disorders (SpLDs)

Vehicle object identification is a challenging issue in the visual surveillance. In recent years, video monitoring and surveillance system have been widely utilized for traffic monitoring and management. In this paper, we propose an algorithm to identify the moving objects from the sequence of video frames which contains dynamically changing backgrounds in the noisy environment. Reference to our previous surveillance skeletanization works, here we have proposed a methodology to identify an object using distance metrics such as Hamming and Euclidian distance metrics. The recent vehicle recognition methods could fail to identify the objects and produce more false acceptance rate (FAR) or false rejection rate (FRR) however our research recommends a method for object identification using weighted distance to extract features in order to obtain robust identification in the noisy environment.
Keywords- Distance transformations, Euclidian Distance, false acceptance rate, false rejection rate, Hamming Distance,
Skeletanization, Traffic video sequences, weighted distance.

This paper examined the adoption and acceptance of ICT innovation in Nigerian Public Universities. This study was conducted at the university of Jos Plateau state, Nigeria as a pilot study. One hundred questionnaires were administered and collected, containing 23 UTAUT survey questions and 9 demographic statements totaling 32 questions. In addition, 57% of the respondents were male and 43% were female. The paper attempt to answer the questions (1) What are the barriers to using ICT by an academician? . Question Q32 which talk about barriers to use of ICT, have the majority of the respondents (42%) which said that their problem is time; on the other hand (31%) said that the problem is training. Others respondents (4%) said that cost are their problem, another group (20%) said that they need compensation and the final group (3%) said that, it does not fit their programme. This paper use regression analysis to verify the UTAUT Model. We use the regression analysis to check the influence of the independent variables (PE, EE, SI & FC) on the dependent variable (BI) which is the behavioral intention to accept and use ICT by the university academicians, using SPSS version 17. The major determining factors are the correlation (r), the variance (R2) and the p-value of significance.  Figures 1-7, discusses the influence of the independent variables (PE, EE, SI & FC) on the dependent variable (BI) with their respective interpretations. From table 8, the best result is obtained by the influence of the four independent variables on the dependent variable BI. This is followed by the influence of the three independent variables ( PE, EE & FC) on BI. Finally the two independent variables that influence the BI most are the PE &EE. The findings have important implications for teaching and learning. PE and EE are found to be the most significant predictors of academic staff acceptance of ICT and use. Therefore the university academicians need to be aware of the possibility of using ICT for teaching and learning without too much difficulty. They need to learn the basics of the technologies that will be most useful in their teaching and learning. Recommendations made were that, all employed teachers in Federal, State and Private universities should undertake mandatory training and retraining on ICT programme
Keywords: Adoption; ICT; Innovation; Acceptance; Public Universities; UTAUT Model.