IJSPR: Volume 03 Number 01
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IJSPR - Volume 03, Number 01

Published On : Sep 2014
SNo. Paper Title & Authors Page
Abstract: As today’s world is said to be of Internet, all the things are fast and online. Currently single based IDE are used for particular languages. Also user was unable to access same document at same time. So we creating a cloud where can store all our documents safely and can access those documents from any location as well as writing in same document at same time from different places. Here user can also provide access rights to his /her own document to who can modify or delete or access the document located in the cloud. Along with this to implement a concept of multiple language compiler, as even if our machine doesn’t have any compiler to run the program then also we can get the output through cloud.
Keywords— Online Compiler, Collaborative writing, Cloud, IDE.
Abstract: Sri Lanka is one of the developing countries in South-Asian region where Agriculture remains the mainstay of economy and approximately 33% of the total labor force is engaged in Agriculture. Therefore it is very important to analyze the agricultural information for the purpose of formulating policies and also enhancing the knowledge of farmers to encourage them to be in the Agriculture. In this context, production, price fluctuations, forecasting, seasonal indices and the factors which could affect for these variables are highly important. In this research project, an attempt was made to develop a web-based decision support system, which can be used for effective decision making on expected harvest of selected crops with the utilization of lands, according to Agro-ecological measures and demographic characteristics and also on seasonal indices and time series forecasting to educate farmers, consumers and other interested parties as well. The seasonal indices and most appropriate price forecasting trend lines were generated by considering monthly prices for a period of 2001 to 2010.
Keywords— Decision, Management Information system & Support system.
Abstract: Frequent pattern mining is a process of mining data as a set of item sets or patterns from a transactional database which support the minimum support threshold. A frequent pattern is a pattern (i.e. a set of items, substructures, subsequence etc.) that occurs frequently in a dataset. Association rule mining is a process of mining data as a set of rules from a transactional database which support the minimum support and confidence. The implementation methods uses special data structures to solve the problem of FPM and ARM. This paper presents some of the data structures for FPM with their advantages and disadvantages.
Keywords— Frequent Pattern Mining (FPM), Association Rule Mining (ARM), Itemsets, Transactional Database, Minimum Support and Confidence.
Abstract: Eye is very crucial part of human body. The appearance of the retinal blood vessel can be significant diagnostic indicator of various disorders of the eye like diabetic retinopathy,Hypertension, Central Retinal Artery Occlusion. Image Segmentation is first step of most of image processing applications. Edge, point, line, boundary, texture and region detection are the various forms of image segmentation. This work proposes an algorithm to detect Retinal Blood vessels effectively. Ripplet transform and FCM can be used for feature extraction due to its efficiency in representing edges and textures. Experiments in texture classification and image retrieval demonstrate that the ripplet transform based scheme outperforms wavelet and ridgelet transform based approaches.
Keywords— Image Enhancement, Image segmentation, Ripplet Transform, morphological reconstruction, FCM.
Abstract: Traditional content-based e-mail spam filtering takes into ac-count content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from hams. In particular, the use of content-based spam filtering unleashed an unending arms race between spammers and l-tier developers, given the spammers' ability to continuously change spam message content in ways that might circumvent the current filters. In this paper, we perform survey on the horizons of content-based filters by taking into consideration the content of the Web pages linked by e-mail messages. We make survey for extracting pages linked by URLs in spam messages and we characterize the relationship between those pages and the messages. We then use a machine learning technique (a lazy associative classifier) to extract classification rules from the web pages that are relevant to spam detection. We demonstrate that the use of information from linked pages can nicely complement current spam classification techniques, as portrayed by Spa-assassin. Our study shows that the pages linked by spam’s are a very promising battleground.
Keywords— URL, Spam.
Abstract: MANET has become a paramount research area in today’s networking system. Mobile nodes when connected through wireless links form an ad-hoc network. It is termed as MANET which is an autonomous system. An infrastructure less network which is self organized network is withal the other name for MANET. MANET is a Mobile ad-hoc NETwork utilized in sundry business application; battlefield, remote areas etc .Performance and security are the two major issues of this field. Due to lack of centralized ascendancy it is suspicious to sundry types of attacks. Wormhole assailment is one of them. This paper provides a survey on challenges of MANET, its application, types of attacks in MANET, wormhole attack, its types, includes study of wormhole detection and prevention techniques.
Keywords— Active attack, MANET, Passive attack, Wireless network, Wormhole attack.
Abstract: In MANET, Mobile nodes can join and leave or change their position inside the network, so its topology can change anytime in unpredictable ways. A MANET is self organizing, adaptive and infrastructure less. AODV currently does not support Quality of Service (QoS) and also has no load balancing mechanism. The QoS routing feature is important in a stand-alone multi hop mobile network for real-time applications and also for a mobile network to interconnect wired networks with QoS support. If a node needs to communicate with another that is outside its transmission range, an intermediate node acts as a router to relay or forward packets from the source to the destination. For this purpose, a routing protocol is needed. Routing protocol design is an important and essential issue for Ad Hoc networks due to dynamic behavior of network of the network. In this research we improves the QoS routing of AODV routing protocol by using the location based features of Distance Effect Routing Algorithm for Mobility (DREAM). In this DREAM protocol the particular information of each node is maintained in network with respect to other nodes that are participating in routing mechanism. The mobile nature of network is predicted by DREAM protocol so that the flooding of route establishment packets are only delivered to that Zone by that the extra overhead for finding destination is minimizes. The DREAM protocol is improving the QoS of AODV routing protocol. In this research we are consider the different scenario of mobile nodes means in terms of number of nodes in network and observe that the performance of proposed QoS routing is better with minimized overhead of route establishment procedure.
Keywords— QoS, DREAM, AODV, Routing, MANET