R Lakshman NaikKU College of Engineering and Technology, Kakatiya University · Department of Information Technology
R Lakshman Naik
B.Tech(ECE), M.Tech(ECE), M.Tech(CSE)
About
27
Publications
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208
Citations
Introduction
Additional affiliations
January 2012 - July 2016
January 2012 - January 2016
January 2012 - July 2015
Publications
Publications (27)
In present Mobile banking is most popular and efficient in banking Sector. The present mobile banking includes mobile accounting, mobile financial services, and mobile brokerage. The security problem is defect the mobile, banking server and network system. In this process any one can be easily hacked by the attacker and also can do fraud transactio...
increasingly, the data is increasing day by day and storage capacity is expanding more and more, this allowing the field of SA to growing and developing faster in research and prospecting for different opinions and emotions to be combed and technically treated to be more accurate. In our present, data can be a wealth where major global companies an...
There are various spectrum sensing techniques were
proposed, but still there is room for researchers in this
field to explore more sophisticated approaches. There are
three major categories of spectrum sensing techniques;
transmitter detection, receiver detection and interference
temperature detection. Energy detection is one of the
popular Spectru...
Mobile Cloud Computing (MCC) presents new kinds of offering and amenities to mobile customers to have maximum benefits and advantages of cloud computing. In spite of these advantages, protection is still the main concern and a reason of worry for cloud customers. This paper specializes in the use of biometric authentication framework for comfortabl...
Bombay Stock Exchange (BSE) Limited, established in 1875 as the Native Share and Stock Brokers' Association is considered to be one of Asia's fastest stock exchanges and oldest stock exchange in the South Asia region. On 31 August 1957, the BSE became the first stock exchange to be recognized by the Indian Government under the Securities Contracts...
Existing up-gradation process is happening manually, which includes functionalities such as filtering data from old version database, extracting required metadata from old version database, writing scripts to run against newer version database, collecting scanned documents and uploading into new version system repository etc... In this paper, we pr...
Due to the digitization of data and advances in technology, it has become extremely easy to obtain and store large quantities of data, particularly Multimedia data. Mining Image data is the one of the essential features in this present scenario since image data plays vital role in every aspect of the system such as business for marketing, hospital...
In most of the modern day applications, radio spectrum utilization and allocation function is static. Generally, static spectrum allocation is not a feasible solution considering the distributed and dynamic nature of wireless devices, thus some alternatives must be ensured in order to allocate spectrum dynamically and to mitigate the current spectr...
Cloud computing is a rapidly developing and resourceful promising technology. Cloud computing in mobile platforms has invoked a new innovative integration of evolution in the rushed developing mobile world. Together with an explosive growth of the mobile computing and excellent trusted technology of cloud computing concept, Mobile Cloud Computing (...
Telecommunication companies generate a tremendous amount of data. These data include call detail, network and customer data. How data mining can be used to uncover useful information hidden within these data sets. This paper is concerned with the trend analysis for finding and calculates interesting patterns on telephone calls data of Telecom Compa...
Mobile Cloud Computing (MCC) is persuasive paradigm enabling users to have the benefit of the massive computation power and profuse network services ubiquitously with the support of remote cloud. MCC is emerging as the prime focus of next generation computing. One of the prime issues of MCC is to provide infrastructure support in terms of computing...
Cloud computing is a rapidly developing and excellent promising technology. It has aroused the concern of the computer society of whole world. Cloud computing is Internet-based computing, whereby shared information, resources, and software, are provided to terminals and portable devices on-demand, like the energy grid. Cloud computing is the produc...
Cloud computing is a rapidly developing and excellent promising technology. It has aroused the concern of the computer society of whole world. Cloud computing is Internet-based computing, whereby shared information, resources, and software, are provided to terminals and portable devices on-demand, like the energy grid. Cloud computing is the produc...
Mobile Cloud Computing (MCC) which combines mobile computing and cloud computing, has become one of the industry buzz words and a major discussion thread in the IT world since 2009. As MCC is still at the early stage of development, it is necessary to grasp a thorough understanding of the technology in order to point out the direction of future res...
The textile industry is also realizing that it is possible to gain a competitive advantage utilizing data mining. With the exponential growth in the amount of data being collected, improvements in technology, and research in machine learning are now able to reduce the ever growing difficult and complex decision making process by adopting the effort...
The generation of profitable trading rules for stock market investments is a difficult task but admired problem. First stage is classifying the prone direction of the price for India cements stock price index (ICSPI) futures with several technical indicators using artificial intelligence techniques. And second stage is mining the trading rules to d...
Predicting stock data with traditional time series analysis has neural network may be more suitable for the task, because no assumption a has to be made prior to forecasting. Furthermore, a neural network has the ability to extract useful information from large sets of data, which often is required for a satisfying description of a financial time s...
Mobile ad-hoc network (MANET) is a wireless network without infrastructure. Nodes can commutate each other without central infrastructure; because they are self organised and self configurable with easy deployment. To commutative each other it is required efficient routing protocols in MANET technology. In these we find out an efficient routing pro...
Mobile ad-hoc network (MANET) is a wireless network without infrastructure. Nodes can commutate each other without central infrastructure; because they are self organised and self configurable with easy deployment. To commutative each other it is required efficient routing protocols in MANET technology. In these we find out an efficient routing pro...
For the execution of the scientific applications, different methods have been proposed to dynamically provide execution environments for such applications that hide the complexity of underlying distributed and heterogeneous infrastructures. Recently virtualization has emerged as a promising technology to provide such environments. Virtualization is...
One of the most important facts in higher education system is quality. It concerns with all the circumstances to enhance the higher educational organizations. One way to reach the highest level of quality in higher education systems is implementing the key trends for higher education along with the role of technology. This can be achieved by utiliz...
Today neural networks have been integrated into most fields and are a very important analytical tool. Neural networks are trained without the restriction of a model to derive parameters and discover relationships, driven and shaped solely by the nature of the data. This has profound implications and applicability to the finance field. Multilayer ne...
In recent years, the complexity of accounting transactions in major organizations have increased dramatically. To audit such organizations, auditors frequently must deal with large amount of data with rather complicated data structure. Tools such as data mining techniques that can automatically extract information from a large amount of data might...
The generation of profitable trading rules for stock market investments is a difficult task but admired problem. First stage is classifying the prone direction of the price for BSE index (India cements stock price index (ICSPI)) futures with several technical indicators using artificial intelligence techniques. And second stage is mining the tradin...