Guneet Kaur Walia, O. P. Gupta and Sunil Kumar*
With the growth of internet, the user’s requirements in terms of scale, functionality of network and performance of internet also increases. It becomes very important to guarantee the efficiency, stability and performance of a given network as per the user’s requirements. There are many management techniques that need to be taken care of, so as to ensure network stability. These include queue management, queue scheduling, congestion control etc. But the most fundamental and foremost amongst these is congestion control, as it’s not possible to ensure Quality of Service (QoS) with a congested network. To avoid congestion, many algorithms are available; the most basic of them is Random Early Detection (RED). This paper implements RED and its enhancement Adaptive RED (ARED) in NS-3 simulator and comparative analysis of both the algorithms has been carried out.
Rattan Singh, Ravinder Singh, Harpreet Kaur and O. P. Gupta
With the advent of Information Technology in the last decade, the major focus has shifted from manual systems to computerised systems. Various systems viz. railway reservation, hospital management etc. involving manual work have been automated efficiently. Student course registration process in colleges involve filling registration forms manually, getting it signed by respective subject teachers, and then getting the documents acknowledged from the concerned Advisors, College Deans and Accounts Officers respectively. Finally the registration forms are submitted in the Administrative Branch. As is evident, this process is very laborious and time consuming. An Online Student Course Registration System has been developed to simplify the current manual procedure.This system has been developed using PHP, jQuery, Apache and MySQL. The front-end is designed using PHP with excerpts of code written using jQuery and back-end is designed and managed through MySQL. This system software is more secured, user-friendly and less time-consuming.
Navneet Kr. Kashyap
Formerly existing graph mining algorithms regularly accept that database is generally static. To defeat that we proposed another algorithm which manages extensive database including the components which catches the properties of the graph in a couple of parameters and check the relationship among them in both left and additionally right course, in this way embracing DFS and in addition BFS approach. It furthermore discovers the subgraph by traversing the graph and removing the planned routine. The proposed calculation is utilized for identification of wrongdoing as a part of BANK & Financial organization by catching the properties and distinguishing the relationship and affiliations that may exist between the individual required in that wrongdoing which keep a few violations that may happen in future. We have utilized the Neo-ECLIPSE for the execution of proposed calculation and Neo4j is the graph database utilized for evaluation.
On the off chance that a man endeavoring to confer fraud or engage in some kind of illicit movement, they will endeavor to pass on their activities as near authentic activities as could reasonably be expected. Here in this paper, we are giving the data that a man who is in beginning the phase of the fraud, what co-related wrongdoings or illicit exercises he can do in future. The future exercises that can be performed by the individual can be ceased by demonstrating the associations with the entries saved in the database.
CH Sravan Kumar, P. Buddha Reddy, K. Srinivas
A huge data space includes set of interesting points; Skyline is an important operation in many applications to return a set of interesting points from a potentially huge data space .This survey paper highlights the characteristics of big data and their challenges. This paper also discusses the tools and techniques of big data. The existing algorithms like SaLSa, SSPL are novel computation algorithms. SaLSa exploits the idea of presorting the input data so as to effectively limit the number of tuples to be read and compared .SSPL utilizes sorted positional index lists which require low space overhead to reduce I/O cost significantly .SSPL consists of two phases. In phase 1, SSPL computes scan depth of the involved sorted positional index lists. During retrieving the lists in a round-robin fashion, SSPL performs pruning on any candidate positional index to discard the candidate whose corresponding tuple is not skyline result. Phase 1 ends when there is a candidate positional index seen in all of the involved lists. In phase 2, SSPL exploits the obtained candidate positional indexes to get skyline results by a selective and sequential scan on the table .PDF Downloads: 39
J. Tamizhkumaran.1, Ranjanmayee Sabar1, P. Manesh Kumar2 and P. Ramajayan3
A study was conducted among the veterinary college students to ascertain the usage pattern of e-commerce in mobile application. A total of 120 students were interviewed personally with a semi structured interview schedule designed for the study. The study revealed that majority of the respondent (85 %) preferred android based phones, the main purpose for e-commerce usage through cell phones were used for recharging cell phones (78.3 %), booking tickets (53.3%), paying the bills (35%), online shopping (28.3%), money transfer (05.8%) and hotel booking (5%). The major e-commerce activity was carried out using debit/ ATM cards (80%), internet banking (35%) and mobile banking (11.6 %). The popular apps preferred by the respondents were Paytm (71.6%), Red Bus (44.1%), Book My show (43.3%), Ticket New (39.1%) and Irctc (32.5%). It is clear from the study that college students are interested in e-commerce usage through mobile applications and in coming years the trend of e-commerce usage will surely take a turn around.PDF Downloads: 63