(An ISO 9001:2008 Certified Online Journal) ISSN:2455-9660


Volume 02 Issue 01 (January-2017) | IJERAS

Title: Review of Unmanned Aerial Vehicle for Radio Network Optimisation

Authors: Gillian K. Makamara, Catherine W. Gathecha& Edwin K. Kipyegon

For Abstract: Click Here
In recent years, however, it has evolved into quite a handy tool whose usefulness spreads into several diverse fields that go beyond military use. A few examples of the latest creative uses for UAVs would be product delivery by Amazon and the Internet Service Provision services by Facebook’s ‘drones in the sky. Additionally, a thorough analysis of the existing uses for UAVs by telecommunication service providers as well as an examination of the current methods used for the RNO process is discussed so as to outline the basis of their use for RNO.

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Title: Analysing Velodrome Cycle Racing Using Witness Simulation

Authors: Alex Burns, Muhammad Latif, Rameez Khalid

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This paper reports on a project that was centred on using simulation as a way to test to what extent speed affected the aerodynamic drag exerted on a cyclist. This was done by building a simulation model in which the user could adjust data to drive the Witness model and analyse what happens over the length of a race. Real data was gathered from four sessions at the National Cycling Centre, UK, in order to create an accurate model that could be run on Witness Simulation software. Using cadence values that were measured from an advanced cyclist, factors such as speed, lap times, section times and drag were measured. These were all affected by the energy of the rider as it decreased throughout the race. After varying the values for the cadence and the values for the drag force measured, it was observed that as the speed of the pedals increased, the drag on the rider increased substantially. After the cadence exceeds 130 rpm, it becomes inefficient to attempt to overcome the forces. This was similar to the range of cadences measured on the cyclist, which lead to the second conclusion that the model was an accurate simulation of the race track event.

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Title: Adsorption of Heavy Metal by Natural Porphyrin: Theoretical Background and Adsorption Efficiency

Authors: Jinu, Lee

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Porphyrin is a chemical group which is composed with 4 pyrroles and can create, coordinate covalent bond with nonspecific metal cations. In this study, two experiments were performed to confirm the possibility of heavy metal adsorption by porphyrins. The first experiment was held to find out the existence of an unstable porphyrin intermediate by the catalyzation of H+, and the second experiment was held to measure the heavy metal adsorption rate of porphyrins. In the first experiment, chlorophyllin was processed from spinach derived chlorophyllin. pH of aqueous chlorophyllin was changed from 1.0 to 3.0, and was reacted enough. UV-Vis spectrometry was carried on to quantitate Mg-Porphyrin and protonated porphyrin, and the data were analyzed to prove the existence of H-porphyrin intermediate. In the second experiment, heme sample was extracted from bovine blood. Then heme solution was treated with heavy metal samples (Cd2+, Cu2+, Mn2+, Ni2+, Zn2+) with acid. ICP analysis was carried on to determine the adsorption rate after the heme was precipitated. Reaction mechanism of porphyrin reacting with acid was found by the result of the first experiment. It was proved that H-porphyrin is made during the reaction, and its unstableness can cause substitution with proton and heavy metal again. The hypothesis of porphyrin adsorbing heavy metal was proved by the second experiment. Adsorption rate was about 50~70%, which are relatively high. The highest absorption rate was shown in Zn2+(=70.6%),while the lowest absorption rate was shown in Mn2+(=53.7%). By two experiments performed, it was tested that porphyrin can successfully adsorb heavy metal from aqueous solutions. This study showed the both chemical property and the efficiency of porphyrin heavy metal adsorption. Due to easy preparation and high biostability, this method can open a new era of natural heavy metal absorbent.

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Title: Administrating Elections Scenario of Punjab Using Apache Hadoop Framework: A Survey

Authors: Bhalwinder Singh

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Big data is very huge in volume and gets created at very high speed. This data may be structured, unstructured, semi-structured or may be text, audio or video and moreover it is not totally precise and can be messy or misleading. The central theme of the research work is concerned with handling and mining huge amount of data that is concerned with different formats of elections that are been contested in Punjab to get fruitful results. The research analyses the self-constructed structured database comprising thirteen different attributes providing information related to different candidates who have contested elections in different districts of Punjab state. The research work discusses the working of Apache Hadoop framework for mining and extracting relations from the constructed database by running appropriate scripts through them. Apache Hadoop framework makes use of Map-Reduce technology which operates in three steps: mapping, shuffling and reduction. Major giants like Facebook, Twitter, and Amazon etc. makes use of Map reduce. The research work also discusses the elaborative working of Map-Reduce technology for mining data to assist electorates to take best decision on the basis of previous track record of politician or political party and decide who to vote for to get better governance.

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