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Kishore Babu, D.
- Road and Traffic Enforcement System Using GPS Enabled Mobile Cloud Computing
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Authors
Affiliations
1 Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Hyderabad – 500043, Telangana, IN
2 Department of Electronics and Communication Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad – 500043, Telangana, IN
1 Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Hyderabad – 500043, Telangana, IN
2 Department of Electronics and Communication Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad – 500043, Telangana, IN
Source
Indian Journal of Science and Technology, Vol 11, No 44 (2018), Pagination: 1-6Abstract
Objective: Traffic enforcement systems are very important implementations of different technologies used worldwide. Collecting data of violators by the traffic police is not always feasible in the current system of practice in India, as they are not connected to the online database. Methods: This study introduces android based camera phone and tablet with latest mobile data network facility as a technical field tool for the police to issue or check the traffic law enforcement status with cost effective and rapid operational solution for present scenario. Findings: The traffic policeman is given an android mobile working on Mobile data technology. When a violator is stopped, he/she is asked to produce his/her driving license and other registration details. On the basis of these details, the device will be able to retrieve data relating to previous offences committed by the driver or the vehicle from its database. The terminal prints the tickets and it is updated online. Each device is capable of acting as a payment receiving station for any notice generated by any other device and issue the receipt. Application: Moreover, this study introduced a system that will also enable the policemen to know whether the vehicle involved in the traffic rule violation is stolen, the previous history of the vehicle or driver in accidents, and whether any notice from the traffic police is pending against the vehicle.Full Text
References
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- Wijers PJ. Automated enforcement, get it right, make it safe. 16th Road Safety on Four Continents Conference Beijing, China; 2013. p. 1–15.
- Automated Traffic Monitoring System [Internet]. [cited 2014 May 11]. Available from: https://ieeexplore.ieee.org/document/6887618.
- SriRam G, Mohana Roopa Y. A threshold multi authority CP_ ABE access control scheme to verify attribute set in public cloud storage. International Journal of Creative Research Thoughts. 2018; 6(1):1310–15.
- Buttler I. Enforcement and support for road safety policy measures. ESRA thematic report no. 6. ESRA project (European Survey of Road users’ safety Attitudes; 2016. p. 1–50.
- Angel Mariya TP. Traffic enforcement system. International Research Journal of Engineering and Technology. 2016; 3(9):1222–6.
- Lujaina Al S. Automobile speed violation detection system using RFID and GSM technologies. International Journal of Applied Information Systems Foundation of Computer Science. 2014; 7(6).
- Mishra A. Design of RF based speed control system for vehicles. International Journal of Advanced Research in Computer and Communication Engineering. 2012; 1(8): 1–4.
- Gendi FW. Wi-Fi Traffic Enforcement System (WiTE). Journal of Transportation Technologies. 2013; 3:142–8. https://doi.org/10.4236/jtts.2013.32014
- Kathawala YA, Tueck B. The use of RFID for traffic management. International Journal of Technology, Policy and Management. 2008; 8(2). https://doi.org/10.1504/IJTPM.2008.017215
- Ramesh Babu M, Mohana Roopa Y. Component-based selfadaptive middleware architecture for networked embedded systems. International Journal of Applied Engineering Research. 2017; 12(12):3029–34.
- TIPMRA. How Speed Trap Radar Works [Internet]. [cited 2011]. Available from: http://www.scirp.org/(S(351jmbntvnsjt1aadkposzje))/reference/ReferencesPapers.aspx?ReferenceID=782536.
- Sifuentes E. Wireless magnetic sensor node for vehicle detection with optical wake-up. IEEE Sensors Journal. 2011; 11(8):1669–76. https://doi.org/10.1109/JSEN.2010.2103937
- Praveena A, Mohana Roopa Y. Resource allocation using entropy based FIFO method in mobile cloud computing. International Journal of Engineering Sciences Review. 2013; 4(1):1–4.
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- An Optimization Procedure for Dropping Information Deduplication in Crossbreed Cloud Technique
Abstract Views :220 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Dundigal − 500043, Hyderabad, Telangana, IN
1 Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Dundigal − 500043, Hyderabad, Telangana, IN
Source
Indian Journal of Science and Technology, Vol 11, No 44 (2018), Pagination: 1-8Abstract
Objectives: In computing, facts/data deduplication is a particular statistics firmness method for removing reproduction copy of repeating records. Intelligent compression or single-instance storage technique make sure that merely single sole request of information is retained on storage space media, such as disk, flash or tape. Unneeded data blocks are replaced with a pointer to the sole data copy. Methods: This study introduces focus on comparing the clouds via authorization steps, which incorporates file token technology and proportion token generation, in competition. To the convergent encryption and document add steps. We compare the overhead through using quite a lot of distinctive reasons. Findings: In cloud computing reproduction copies of repeat facts within the cloud referred to as Data Deduplication, and broadly used in cloud garage to decrease the amount of garage space and stay bandwidth. Data deduplication removes reproduction copies of equal documents can be existed in Cloud, if so best one reproduction is maintained and replacing the alternative copies with the original reproduction. To defend the privateness of sensitive Information on similar instance as maintaining deduplication, security algorithm is proposed for statistics safety. Application: We enforce a prototype of our proposed legal replica test scheme and behavior tested experiments the usage of our prototype. It shows planned legal duplicate test scheme incurs minimum overhead in comparison to ordinary operations.Full Text
References
- Jin Li, Yan Kit Li, Xiaofeng Chen, Patrick P. C. Lee, Wenjing Lou. A hybrid cloud approach for secure authorized de duplication, IEEE Transactions on Parallel and Distributed System. 2015; 26(5):1−12. https://doi.org/10.1109/TPDS.2014.2318320.
- Kakariya G, Rangdale S. A hybrid cloud approach for secure authorized de duplication, International Journal of Computer Engineering and Applications. 2014; 8(1): 1−7.
- Leavitt N. Hybrid clouds move to the forefront, Computer. 2013; 46(5):15−18. https://www.researchgate.net/publication/ 260584421_Hybrid_Clouds_Move_to_the_Forefront.
- Zhang H, Jiang G, Yoshihira K, Chen H, Saxena A. Intelligent Workload Factoring for a Hybrid Cloud Computing Model. Proceedings of the 2009 Congress on Services, Washington, DC.; 2009. p. 701−08. https://doi.org/10.1109/SERVICES-I.2009.26. PMCid: PMC2630577.
- Sotomayor B, Montero RS, Llorente IM, Foster I. Virtual infrastructure management in private and hybrid clouds, IEEE Internet Computing. 2009; 13(5):14−22. https://doi.org/10.1109/MIC.2009.119.
- Bugiel S, Nurnberger S, Sadeghi A, Schneider T. Twin clouds: An architecture for secure cloud computing. In: Workshop on Cryptography and Security in Clouds; 2011.p. 32−44.
- Douceur JR, Adya A, Bolosky WJ, Simon D, Theimer M. Reclaiming space from duplicate files in a server less distributed file system. In: ICDCS; 2002. p. 617–24.