By Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty
Advanced Computing, Networking and Informatics are 3 certain and collectively unique disciplines of data with out obvious sharing/overlap between them. besides the fact that, their convergence is saw in lots of genuine global functions, together with cyber-security, web banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This two-volume lawsuits discover the mixed use of complicated Computing and Informatics within the subsequent new release instant networks and defense, sign and snapshot processing, ontology and human-computer interfaces (HCI). the 2 volumes jointly comprise 148 scholarly papers, that have been approved for presentation from over 640 submissions within the moment foreign convention on complex Computing, Networking and Informatics, 2014, held in Kolkata, India in the course of June 24-26, 2014. the 1st quantity contains cutting edge computing options and proper learn ends up in informatics with selective functions in development popularity, signal/image processing and HCI. the second one quantity nonetheless demonstrates the prospective scope of the computing recommendations and informatics in instant communications, networking and security.
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Additional info for Advanced Computing, Networking and Informatics- Volume 2: Wireless Networks and Security Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014)
6 Conclusion and Future Work Real-world traffic data is highly susceptible to noise, redundancy and inconsistent data due to their huge size, heterogeneous sources and type of sensory technologies. Low quality traffic data will lead to low quality results processing. Often low quality information leads to in complete control and management. This paper presents a preprocessed Mobile Century data set and a realistic four lane highway I-880 roadmap with positioned vehicles. Roadmap has generated by taking the input as resultant preprocessed dataset.
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Pre-processing may include (1). Conversion of date and time from Unix Time Zone to local date and time. (2). Conversion of latitude and longitude in to decimal degrees. (3). Constructing new attributes such as vehicle ID. Data fusion is also necessary which can integrate hundred vehicle activity data in to one unified dataset includes all of the data points and time steps from the input data sets. Pre-processing has done by using data mining pre-processing techniques such as normalization and attribute construction.
Advanced Computing, Networking and Informatics- Volume 2: Wireless Networks and Security Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014) by Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty