Clustering means storing related objects close together on secondary storage so that when one object is accessed from disk, all its related objects which are stored on the same disk page are also brought together into main memory. The imminent accesses to these related objects are main memory accesses which are much faster compared to disk accesses. The aim of this paper is to improve the OODBMS performance by using the buffer management technique called Dynamic Clustering. This paper focuses on reducing disk IO to improve OODBMS performance. In database environment, effective buffer management of the main memory is the key in increasing efficiency through reducing the disk IO bottleneck in OODBMSs. In this paper, we propose a dynamic clustering technique for OODBMS to reduce the disk IO bottleneck and optimize its performance.
Area Surveillance System (ASS) have gained an increasing importance over last few years due to its multiple applications like under water pipelines monitoring, electricity transmission lines monitoring, public action monitoring, home security, in agriculture like water level, humidity, temperature, crop monitoring and many more. Hybrid Wireless Sensor Network (HWSN) is combination of Static WSN (SWSN) and Mobile WSN (MWSN) which plays an important role in ASS to gather data for monitoring and controlling. Complex tasks can be solved using self organization by interacting locally with individual agents without any external interference. In ASS, finding a target in unknown location is also a complex system. So, self organized Mobile Sensor Node (MSN) can be used to locate target. The main objective of this survey is to summarize the existing techniques of nature based self organization to route the MSN to locate target in ASS.
This paper proposes an efficient fusion of color, texture and shape features for fruit recognition. The recognition of fruits using image processing and pattern recognition techniques is a challenging task mainly because sub-types of the same fruit show a lot of similarities between each other and hence more difficult to distinguish than when different types of fruits are involved (inter-class).However, different fruit images may have similar or identical color and shape values. Hence, using color features and shape features analysis methods are still not tough and effectual enough to identify and distinguish fruits images. A novel Fruit recognition organism has been proposed, which mingle three features analysis techniques: color-based, shape based along with size-based in classify to increase an accuracy of recognition.
We have reviewed various papers such as â€œSummarizing Emails with Conversational Cohesion and Subjectivityâ€ and â€œTask-focused Summarization of Emailâ€. In paper â€œSummarizing Emails with Conversational Cohesion and Subjectivityâ€  they have studied how to summarize email conversations based on the conversational cohesion and the subjective opinions. They first create a sentence quotation graph to represent the conversation structure on the sentence level. They adopted three cohesion metrics, clue words, semantic similarity and cosine similarity, to measure the weight of the edges. The Generalized Clue Word Summarizer and Page-Rank are applied to this graph to produce summaries. Moreover, they study how to include subjective opinions to help identify important sentences for summarization. The empirical evaluation shows the following two discoveries: (1) the basic CWS (based on clue words) obtains a higher accuracy and a better runtime performance than the other cohesion measures. It also has a significant higher accuracy than the Page-Rank algorithm. (2) By integrating clue words and subjective words (phrases), the accuracy of CWS is improved significantly. This reveals an interesting phenomenon and will be further studied. Whereas in other paper â€œTask-focused Summarization of Emailâ€ . They have presented aspects of Smart Mail, which provides a task-oriented summary of email messages. This summary is produced by identifying the task-related sentences in the message and then reformulating each task related sentence as a brief (usually imperative) summation of the task. The set of tasks extracted and reformulated from a given email message is thus a task-focused summary of that message. The ability to reformulate tasks is in principle separate from the identification of tasks. In their planned usability study they will distribute variants of the prototype to determine the effect of reformulation.
Big data refer to the collection of new information which must be made handy to high numbers of users close to real time, based on gigantic data inventories from multiple sources, with the goal of speeding up critical competitive knowledge discovery processes. Massive amounts of data have become accessible on hand to data miners which is making analysis and decision making task much more challenging and tedious. Considering the massive volume and variety of data, the analyses, predictive and behavioral exploration of situations and business intelligence workloads are beyond the capabilities of existing tools &methods. In recent years a number of Big Data tools & methods have been suggested to handle these massive quantities of data. The objective of this paper is to study and to get the in-depth understanding of the various attributes of big data science, engineering, tools &techniques. This study also analyze the several frameworks suggested by researchers and abilities of these frameworks to revolutionize knowledge discovery process for enhancing the decision making process. This objective is considered via wide ranging review of literature.
The field of medical sciences heavily rely on the computer based automated means for proper and accurate and timely diagnosis.Â This resulted in the maintenance of huge amount of patient related data on daily basis. The stored data can be used as a source of predicting the chance of future diseases that makes the data mining techniques to play a central role for the extraction of knowledge and prediction.Â Heart disease predation is one of the growing areas for such prediction. Varieties of data mining techniques for the prediction of heart diseases have been proposed with the varying level of success and accuracy. The current study explores preliminaries behind the techniques and presents a classification of various techniques based on their accuracy and the number of parameters under investigation.Â The main focus of this study will be to carry out the survey of existing data mining techniques used to predict heart diseases, to present the accuracy of each technique/techniques along with number of attributes under consideration and data mining tool/technique used.
For the pharmaceutical industry, the discovery of a new drug presents an enormous scientific challenge, and consists essentially in the identification of the target responsible for the disease. Once the therapeutic target is identified, scientists then find one or more leads that interact with the therapeutic target
The objective of this research paper is to discuss prime concept of inheritance in object oriented programming. Inheritance play major role in design pattern of modern programming concept. In this research paper I explained about inheritance and reusability concepts of oops. Since object oriented concepts has been introduced in modern days technology it will be assist to creation of reusable software. Inheritance and polymorphism play vital role for code reusability. OOPs have evolved to improve the quality of the programs. I also discuss about the relationship between function overloading, operator overloading and run-time polymorphism. Key focus of this research paper is to discuss new approach of inheritance mechanism which helps to solve encapsulation issues.Â Through virtual base class concept we explore the relationship and setup connection between code reusability and inheritance.Â Paper explained virtual base class, early binding and late binding concepts using coding demonstration.
Â Mobility feature of the Ad hoc Network createe many issues in the network. Due to this feature ad hoc network does not keep any infrastructure and also tackle affects address mission of the nodes in network, which is the nodeâ€™s tackle configuration. Similar to different wireless networks, ad hoc nodes also require a unique network tackle to enable multihop routing and entire connectivity. Address mission in ad hoc networksis additionally more difficult issue consideringthe self-organized nature of these surroundings, sometimes it prospects to nodeâ€™s address impact in the network. It enhances the control load of the network. An additional important concern is frequency partition in the network because of fading channels. Projected system gives the possibilities to these difficulties, it offers the FAP, and it accomplishes low communication expense and low latency, fixing all addresses collisions much in network partition confluence events. When contrasted to other system it minimizes the overhead.