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Abstract Many measures have been proposed to represent the status of traffic conditions on arterial roadways in urban areas. Traffic congestion is rising nowadays and to understand its nature, a systematic mechanism is required. A new approach is presented in this research work to measure the congestion index first and then the congestion level. In […]
Abstract Microblogging sites have gained very importance nowadays. We can know sentiments of people and predict things from their sentiments. In this paper, we are detecting public safety events by analyzing the sentiments via Microblogging text messages. In this the ratings have been given i.e, positive, negative or neutral to the tweets, where there is […]
Abstract Present days’ cloud computing has become successful computer paradigm because of “pay-as-you-go” model. Various solutions were proposed for handling cloud vulnerabilities and threats but most of which concentrate on single cloud environment which faces many problems like malevolent system administrator, service failure, loss of data integrity and data intrusion problem which can be reduced […]
Abstract We all are aware that the future is of artificial intelligence and we want that machine should do smart work. Sometimes, due to hard work driver is not able to concentrate properly while driving the vehicle, also if driver is driving the vehicle continuously for a long time, he may suffer from fatigue in […]
Abstract An adaptive traffic signal controller computes the phase timings based on real-time data of traffic and it generally results in better performance for various traffic situations. In general the fuzzy traffic signal controllers are proved to be better as compared to the traditional fixed-time controller. However the decisions were made on traffic conditions and […]
Abstract In this paper, the bacterial identification is done using k-mer profiling. The idea is to create a kmer histogram using R programming and map the occurrences of kmers occurring in common within the same bacteria genera of different species and their respective strains. 5-mer is used in this study for proving the hypothesis. The […]
Abstract Road maintenance is quotidian problem faced by the concerned authorities as it requires time, resources and labor and if not treated with utmost alacrity, may result in mishaps and accidents. The following paper suggests an innovative approach that can reduce the time and labor requirement by incorporating concepts of image processing and machine learning […]