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Applying Z-Curve Technique to Compute Skyline Set in Multi Criteria Decision Making System
T. Vijaya Saradhi,Kodukula Subrahmanyam,P. Venkateswara Rao,Hye-jin Kim 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.12
The skyline queries are the best tools to be used in distributed multi criteria decision making of web based applications for user commendations. However, as the Data dimensions are increasing size of dominance set and skyline set is also increasing. Increasing dimensionality becomes the major problem with real word databases. In skyline computation major cost depends on finding dominance tests between high dimensional objects and the order in which they are accessing. Space filling Z-curve is the best suitable way to address the challenges in skyline computation. In this proposed work, we incorporated Z-curve with optimized skyline boundary detection algorithm to effective access and early pruning. In this paper efficient hybrid index structure was proposed which takes the advantage of sorting and partition approaches to improve the storage and search efficiency. Experimental results show that our propose approach is better than the previous static skyline computation techniques in terms of searching and finding skyline set.
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A Dependency analysis for Information Security and Risk Management
B. Chaitanya Krishna,Kodukula Subrahmanyam,Tai-hoon Kim 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.8
Today major issue in IT Sector is security, now a day in every field software products are using at the same time users are struggles for their information and data security. Normally software engineers developed good software and test the all aspects and deliver to the user but they cannot bother about minuet problems because they think that those problems cannot impact the product output. But in the run time environment those problems create major problems and display the wrong outputs. Software hackers also using these minuet problems hacked the system and spoil the data. There are so many methods are available for information security and risk management but those are not universally accepted methods. In this paper I proposed a novel method for information security and risk management. Using this method to develop application very well and if any hidden mistakes are there in development stage those risks are identified in run time environment and reduce risk and provide security to the data.
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A Novel Dr.KSM Approach for Information Security and Risk Management in Health Care Systems
B.Chaitanya Krishna,Kodukula Subrahmanyam,S.S.N.Anjaneyulu,Tai-hoon Kim 보안공학연구지원센터 2015 International Journal of Bio-Science and Bio-Techn Vol.7 No.4
At Present times, A common person focus on their health issues not only for themselves but also for their family because health is a wealth. In the modern days most of the people are working and they spending 40% to 50% of the income on their health issues not only for themselves but also for their family. By this the rate of population arrival to the Hospitals are increasing day-by-day. So the hospitals have to be reliable towards the patients. The records of the patients and the medication details are to be maintained correctly. There may be many risks in the software that they use. So any health organizations are struggles to display the patient electronically measured health records and what they use medication outside. So every time common people are lose their health information. If the common people know the about their previous health records they reduce their money and take the first aid immediately. In this paper we suggest a new approach to risk assessment for health care systems. As risk assessment is a Qualitative approach, there are no exact techniques to solve such risks. Lack of risk assessment techniques leads to failure in the system and organization as the people don’t find interest to come if once the organization fails in any of the issues. Our new method mainly focuses on the risk management for health care organizations. Today’s health care industry faces a number of emerging risk issues related to health care reform, the shift from fee-for-services to outcomes-based compensation, the use of electronic medical records and the management of human capital. Therefore our method has put forth a Risk management technique for the Risk assessment.
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Vijaya Saradhi.T,Kodukula Subrahmanyam,Debnath Bhattacharyya,Tai-hoon Kim 보안공학연구지원센터 2015 International Journal of Software Engineering and Vol.9 No.8
A skyline of a n-dimensional data contains the data objects that are not dominated by any other data object on all dimensions. However, as the number of data dimensions increases the probability of domination points become very low, accordingly the number of points in the skyline becomes large. Also skyline search space has been identified as the key problem in real-time multidimensional databases. None of the traditional search techniques include the use of dimensionality reduction to optimize the search space. Skyline query computation on the server consecutively reduces the amount of data transferred between the server sites. Traditional static lower bound and upper bound probability computation will increase the number of non-dominance points. In this proposed work, an optimized skyline boundary detection algorithm is used to filter the skyline objects and pruning the local probability. Also, global probability computation was improved on the large skyline databases in order to minimize the search space and storage .The experimental results show that the efficiency of the proposed approach compared to traditional static skyline bound techniques in terms of time and search space are concerned.
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