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Ramana Babu, B.
- An Efficient Approach for Detecting Dengue Using the Processing Power of Mobile Phones and Social Networks
Authors
1 Department of CSE, Sanketika Institute of Technology and Management (SITAM), Visakhapatnam, IN
Source
Networking and Communication Engineering, Vol 9, No 4 (2017), Pagination: 96-100Abstract
Dengue is an ailment transmitted essentially through mosquito chomps. Inventive arrangements have been produced to battle episodes. Be that as it may, in creating nations these dengue discovery arrangements are regularly not reasonable and effortlessly open. Moreover, these conventional methodologies are ease back to analyze and treat dengue. This paper show a dengue location arrangement that utilizations vision sensors in mobile phones, a lightweight question recognizable proof calculation, and a web server that gives spatial data to social insurance suppliers. Our frameworks use a novel paper based innovation created by analysts at the Harvard University Department of Chemistry. Our dengue discovery calculation quickly analyze dengue, transmits the outcomes to the Center for Disease Control (CDC) for further investigation, and presents medicinal services suppliers with spatial data on flare-ups. This novel approach can enhance the personal satisfaction in creating nations by precisely and financially identifying dengue and giving information to the CDC to checking of dengue pandemics.Keywords
Dengue Detection, Light-Weight Image Processing, Mobile Systems, Social Networking, Medical Informatics, Translational Medicine, Sensor Enabled Embedded Systems.
- A Novel Method for Clustering Words in Micro-Blogs Texts and its Application to Event Discovery
Authors
1 Department of CSE, Sanketika Institute of Technology and Management (SITAM), Visakhapatnam, IN
Source
Data Mining and Knowledge Engineering, Vol 9, No 4 (2017), Pagination: 84-88Abstract
This paper exhibits a novel method for clustering words in small scale online journals, in light of the likeness of the related fleeting arrangement. Our method, named SAX*, utilizes the Symbolic Aggregate ApproXimation calculation to discredited the fleeting arrangement of terms into a little arrangement of levels, prompting a string for each and then characterize a subset of "fascinating" strings, i.e. those speaking to examples of aggregate consideration. Sliding worldly windows are utilized to distinguish co-happening groups of tokens with the same or comparative string. To survey the execution of the method, first tune the model parameters on a 2-month 1 % Twitter stream, amid which various around the world occasions of contrasting sort and length (sports, legislative issues, calamities, wellbeing, and famous people) happened. At that point, assess the nature of every single found occasion in a 1-year stream, "goggling" with the most successive bunch n-grams and physically surveying what number of bunches compare to distributed news in a similar fleeting space. At long last, play out a unpredictability assessment and contrast SAX* and three alternative methods for occasion revelation. Our assessment demonstrates that SAX* is no less than one request of extent less complex than other fleeting and non-transient ways to deal with smaller scale blog bunching.
Keywords
Event Detection, Temporal Mining, Symbolic Aggregate, Approximation Micro-Blog Analysis.- Statistically Efficient Control Scheme for Undersea Surveillance for Sonar Ranging and Detection
Authors
1 Department of Computer Science and Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
Source
Indian Journal of Automation and Artificial Intelligence, Vol 4, No 1 (2017), Pagination: 1-9Abstract
Background/Objectives: Altered Gain Extended Kalman Filter (MGEKF) created by Song and Speyer was ended up being reasonable calculation for edges of just uninvolved target following applications in air. As of late, roughly changed increases are exhibited, which are numerically steady and precise. In this paper, this enhanced MGEKF calculation is investigated for submerged applications with a few adjustments.
Methods/Statistical Analysis: In submerged, the clamor in the estimations is high, turning rate of the stages is low and speed of the stages is additionally low when contrasted and the rockets in air.
Findings: These attributes of the stage are considered in detail and the calculation is changed appropriately to track applications in submerged. Monte-Carlo mimicked comes about for two regular situations are exhibited with the end goal of clarification.
Application/Improvements: From the outcomes it is watched that this calculation is particularly reasonable for this nonlinear edges just latent target following.
Keywords
Estimation, Sonar, Kalman Filter, Simulation, Modified Gain, Angles-Only Target Tracking.Full Text
References
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- Jawahar, V.C. Chakravarthi. Improved Nonlinear Signal Estimation Technique For Undersea Sonar-Based Naval Applications. Innovare Journal of Engineering and Technology. 2016, 4(4), 20-25.
- Jawahar A, V.C. Chakravarthi. Comparative analysis of non linear estimation schemes used for undersea sonar applications. Innovare Journal of Engineering and Technology. 2016, 4 (4), 14-19.
- K.L. Prasanna, S. Koteswara Rao, B.O.L. Jagan, A. Jawahar, S.K.B. Karishma Data Fusion in Underwater Environment. International Journal of Engineering and Technology (IJET). 2016, 8(1), 225-234.
- K.L. Prasanna, S. Koteswara Rao, A. Jawahar, S.K.B. Karishma. Modern Estimation technique for undersea active target tracking. International Journal of Engineering and Technology. 2016, 8(2), 791-803.
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- RFA:Reanalyze Requests for ADMINSHIP over the Wikipedia
Authors
1 Department of Computer Science and Engineering, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, IN
2 Department of Computer Science and Engineering, Avanthi Institute of Engineering & Technology, KOTABHOGAPURAM, Andhra Pradesh 535006, IN
3 Department of Computer Science and Engineering, Andhra University College of Engineering (A), Visakhapatnam, IN
4 Department of Computer Science and Engineering, AVANTHI Institute of Engineering & Technology, NARSIPATNAM, Andhra Pradesh, IN
Source
Indian Journal of Automation and Artificial Intelligence, Vol 4, No 1 (2017), Pagination: 1-8Abstract
Objectives: Requests for ADMINSHIP (RFA) within Wikipedia are primarily focused on the impact of the relationship between ADMINSHIP candidates and voters on RFA success. Very few studies, however, have investigated how candidates’ contributions may predict their success in the RFA process.
Methods/Statistical Analysis: In this examination, we look at the effect of substance and social commitments and in addition add up to commitments made by ADMINSHIP hopefuls on the group's general choice in the matter of whether to elevate the possibility to head.
Findings: We also assess the influence of clarity of contribution on RFA success. To do so, we collected data on 754 RFA cases and used logistic regression to test four hypotheses.
Application/Improvements: Our results highlight the important role that user contribution behaviors and activity history have on the user’s success in the RFA process. The outcomes additionally propose that residency and number of RFA endeavors assume a part in the RFA procedure. Our discoveries have suggestions for hypothesis and practice.
Keywords
Requests for ADMINSHIP (RFA), Content Contribution, Administrators, Trust, Wikipedia, Social Contribution.Full Text
References
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- M. Burke, R. Kraut. Mopping up: modeling Wikipedia promotion decisions. Proceedings of the 2008 ACM conference on Computer Supported Cooperative Work. 2008; 1-10.
- M. Burke, R. Kraut. Taking up the mop: identifying future Wikipedia administrators. Proceedings of the CHI'08 extended abstracts on Human Factors in Computing Systems. 2008; 3441-3446.
- G. Cabunducan, R. Castillo, J.B. Lee. Voting behavior analysis in the election of Wikipedia admins. Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2011; 545-547.
- B. Collier, M. Burk, N. Kittur, R. Kraut. Retrospective versus prospective evidence for promotion: The case of Wikipedia. Proceedings of the 2008 Annual Meeting of the Academy of Management. 2008; 1-29.
- K. Derthick, P. Tsao, T. Kriplean, A. Borning, M. Zachry, D.W, McDonald. Collaborative sensemaking during admin permission granting in Wikipedia, in Ant OZOK and Panayiotis ZAPHIRIS (Eds.) Online Communities and Social Computing. 2011; 100-109.
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