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Journal Cover International Journal of Research in Computer and Communication Technology
  [5 followers]  Follow
  This is an Open Access Journal Open Access journal
   ISSN (Print) 2320-5156 - ISSN (Online) 2278-5841
   Published by Suryansh Publications Homepage  [2 journals]
  • Effective Prediction And Prevention Of Air Pollution Caused Due To
           Automobiles Using IOT And Data Analytics Techniques

    • Authors: Vishal Mahuli, Vishwanath Kulkarni, Anvitha Rao, Adarsh Raj
      Abstract: Climate change and Environmental Hazards have been burning issues all around the globe. Air Pollution is a major contribution to the Environmental Pollution which not only deteriorates the quality of air and surroundings but also causes catastrophic consequences on the human health. Air Pollution is the presence in the ambient atmosphere of substances that interfere in the normal health of the life forms and quality of the substances causing hazards in both. The major contributors to the air pollution are automobiles. The use of vehicles is rapidly growing as they are being deployed almost everywhere. So, it is of paramount importance to control this pollution caused by automobiles to tackle the air pollution issue effectively. That said, In order to formulate a solution to this burning global issue we have come up with an idea that inculcates techniques of IoT/IoE (Internet of Things) and Data Analytics to predict and prevent air pollution substantially. In this paper we present a device that will monitor the toxicity of the vehicular emission like CO and NO and assist the owner in getting the vehicle serviced timely to keep the emission levels low. If the level of CO exceeds the threshold, then an alarm is generated automatically. And if the vehicular emissions continue to exceed the threshold then the fuel supply to the engine is blocked and is unblocked when the emission level falls below the threshold value. It also aims at analyzing the air pollution levels at different geographical locations and to derive certain useful insights out of it that would help to reduce overall air pollution levels to a considerable extent.This system is designed to be low cost and expandable. Keywords: Microcontroller, Gas detecting sensors,GSM module ,cloud, GPRS
      PubDate: 2016-08-12
      Issue No: Vol. 5 (2016)
  • Power constrained contrast enhancement for Emissive displays based on
           Histogram Equalization

    • Authors: Gera Vijaya Nirmala
      Abstract: A power compelled contrast-improvement algorithm for emissive showcases in light of histogram evening out (HE) is proposed in this paper. We first propose a log-based histogram change plan to decrease overstretching antiquities of the customary HE method. At that point, we build up a power utilization model for emissive shows and plan a target capacity that comprises of the histogram-evening out term and the power term. By minimizing the target capacity in light of the raised advancement hypothesis, the proposed algorithm accomplishes contrast upgrade and power sparing all the while. Additionally, we extend the proposed algorithm to upgrade video arrangements, and also still pictures. Simulation results show that the proposed algorithm can decrease power utilization essentially while enhancing picture contrast and perceptual quality.
      PubDate: 2016-08-04
      Issue No: Vol. 5 (2016)
  • An Anonymous Interactive Question and Answer Platform For Knowledge

    • Authors: Maitri Vishwanath Hegde, Namrata Nagaraj Prabhu, Shwetha H N, Vijaya Kumar B P
      Abstract: With today's rapid growing ICT (Information and Communication Technology), social networking services have become more popular. They assist people in their day-to-day activities like business, healthcare, education, etc., Most of the social networking sites existing today mainly concentrates on the personal background of the user rather than the content and caliber he/she shares. This seems to betray the aim with which Internet was created, i.e. “Create a fountain of knowledge". In this scenario there is a need to provide liberal interactive platform to contribute for the knowledge and skill sharing. Main intention is to improve the quality of the content irrespective of user's personal background. In present day information sharing trend, anonymous platforms will bring much more effectiveness for the evolution of new ideas and also help to group like-minded people. Present day users, need a unique place to get themselves engaged in more intellectual sharing platform, as it will definitely help them in a longer run. Providing anonymous identity help out the users, in letting out their unbiased opinions to other fellow users, companies and people as a whole who prefer, a unique place, for knowledge sharing.   We have used certain cutting edge technology like elements of “Data Mining, Machine Learning and Django” in implementing this project. Profanity checking of the content is included as a security measure. This helps in avoiding the misusage of anonymity factor. By doing so, one can keep track of certain issues or topics and get enlightened to enhance individual well being.
      PubDate: 2016-08-03
      Issue No: Vol. 5 (2016)
  • Resistance against DDoS Attacks in Malicious Traffic in Optimal Source
           Based Filtering Using IP Address Advancement

    • Authors: Akondi Bhargavi, Satti Vijaya Krishna reddy, Sarakula Devanam Priya
      Abstract: There is a vast and expanding measure of undesirable activity on the Internet today, including phishing, spam, and appropriated disavowal of-administration attacks. One approach to manage this issue is to channel undesirable movement at the switches in view of source IP addresses. In view of the set number of accessible channels in the switches today, conglomeration is utilized as a part of practice: a solitary channel portrays and hinders a whole scope of IP locations. This outcomes in obstructing of all (undesirable and needed) movement produced from hosts with IP addresses in that extent. In this paper, we build up a group of calculations that, given a boycott containing the source IP locations of undesirable movement and an imperative on the quantity of channels, develop an arrangement of separating standards that enhance the tradeoff between the undesirable and real activity that is blocked. We demonstrate that our calculations are ideal furthermore computationally proficient. Moreover, we show that they are especially gainful when connected to sensible conveyances of wellsprings of undesirable movement, which are known not spatial and worldly clustering.
      PubDate: 2016-08-03
      Issue No: Vol. 5 (2016)
School of Mathematical and Computer Sciences
Heriot-Watt University
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