Node Location Based Clustering in Wireless Sensor Network
In Wireless Sensor Networks, having two types of approaches non-clustering & clustering based. In both cases the prime role in network is energy consumption to transmit the data that will decide the life time of network. So this paper focused on the energy consumption. This research paper works for generation or formation of cluster & how to select the cluster head by which consideration of energy consumption should be less than non-clustering approach. In this research paper to create the cluster, implement the K-Mean algorithm to select the cluster head based on the nearest node to the location of center of cluster. This paper considers the sending energy consumption of each node in the whole network in both cases i.e. non-clustering & clustering.
Please Login using your Registered Email ID and Password to download this PDF.
This article is not included in your organization's subscription.The requested content cannot be downloaded.Please contact Journal office.Click the Close button to further process.
[PDF]
Synthesis, FT-IR, 1H and 13C NMR spectroscopic and computational investigation of a new (E)-N1-(2-(4-isobutylphenyl)propylidene)benzene-1,2-diamine
(E)-N1-(2-(4-isobutylphenyl)propylidene)benzene-1,2-diamine, an organic material has been synthesized and their chemical structure was confirmed by means of elemental analysis, FT-IR, 1H and 13C NMR spectral techniques. The molecular geometry has been interpreted with the aid of structure optimization based on DFT/B3LYP and HF methods with 6-31G(d,p)level theory. The SXRD data were compared with the optimized parameter. Optimized geometry parameters are very well agrees with the reported one. FT-IR spectrum is recorded at room temperature. Functional group assignment was discussed on the B3LYP and HF level theories. The chemical reactivity and charge density of the compounds was obtained by Mulliken and MEP surfaces. The energy gap, electronic properties were measured and discussed. The intramolecular charge transfer interaction and ?-electron cloud movement in title molecule must be responsible for the NLO properties.
Please Login using your Registered Email ID and Password to download this PDF.
This article is not included in your organization's subscription.The requested content cannot be downloaded.Please contact Journal office.Click the Close button to further process.
[PDF]
Modeling to predict the characteristics strength of concrete using regression analysis
Based on existing experimental data for compressive strength values of different concrete mixes in statistical analysis for the data gathered was conducted. The analysis revealed a model for predicting the compressive strength of concrete mixes at any age with the help of two constants X and Y that are a characteristic property of a concrete mix. The constant X is introduced as age of concrete, whereas, Y is introduced as compressive strength of concrete constant. One of the values of constants X and Y are defined for a concrete mix, the compressive strength at any age could simply be predicted without collecting data at that age. Performing trail concrete mixes (1:2:4 and 1:3:6), is the method used to define the two constant and simple linear regression was used to model the results. The simple linear regression model for mix ratio 1:2:4 and 1:3:6 (Y = 10.75327 + 0.26667X and Y = 8.8605 + 0.022714X) yielded values for the prediction of the compressive strength at different ages (7. 14. 21 and 28days). The mean compressive strength for the two mix ratios are 13.2N/mm2, 14.7N/mm2, 15.03N/mm2, 19.07N/mm2, and 10.8N/mm2, 12.27N/mm2, 12.07N/mm2, 16.20N/mm2, respectively. While the results for each age of concrete using regression model for the two mix ratios are 12.62N/mm2, 14.49N/mm2, 16.35 N/mm2, 18.22N/mm2 and 10.46N/mm2, 12.04N/mm2, 13.563N/mm2, 15.22N/mm2. From the above data, it was observed that there is a slight difference between experimental and analysed results i.e. the analysed results are slightly above or below the experimental results.
Please Login using your Registered Email ID and Password to download this PDF.
This article is not included in your organization's subscription.The requested content cannot be downloaded.Please contact Journal office.Click the Close button to further process.
[PDF]
Dr.S.Sridhar joined the team of Elixir Editorial Advisory Board from 4th July 2018
We are very happy to announce that from 4th July 2018, Dr.S.Sridhar has joined the team of Elixir Editorial Advisory Board. He/She will carry a special responsibility for dealing with manuscripts based on Computer science. Dr.S.Sridhar working as Professor, Department of Computer Applications, S.A. Engineering College, Chennai, India. The appointment of Dr.S.Sridhar as member Editorial Advisory Board strengthens the links and will make it easier for prospective authors to establish contact with the journal. Please send any expressions of interest to elixirpublishers@gmail.com.
Please Login using your Registered Email ID and Password to download this PDF.
This article is not included in your organization's subscription.The requested content cannot be downloaded.Please contact Journal office.Click the Close button to further process.
[PDF]
Mr. Rudy F. Daling, Maed joined the team of Elixir Editorial Advisory Board from 4th July 2018
We are very happy to announce that from 4th July 2018, Mr. Rudy F. Daling, Maed has joined the team of Elixir Editorial Advisory Board. He/She will carry a special responsibility for dealing with manuscripts based on Educational Management. The appointment Mr. Rudy F. Daling, Maed as member Editorial Advisory Board strengthens the links and will make it easier for prospective authors to establish contact with the journal. Please send any expressions of interest to elixirpublishers@gmail.com.
Please Login using your Registered Email ID and Password to download this PDF.
This article is not included in your organization's subscription.The requested content cannot be downloaded.Please contact Journal office.Click the Close button to further process.
[PDF]
Dr. Taha Awad Allah El-Sayed joined the team of Elixir Editorial Advisory Board from 4th July 2018
We are very happy to announce that from 4th July 2018, Dr. Taha Awad Allah El-Sayed has joined the team of Elixir Editorial Advisory Board. He/She will carry a special responsibility for dealing with manuscripts based on Civil Engineering. Dr. Taha Awad Allah El-Sayed working as Assistant Professor of Reinforced Concrete Structures of Civil Engineering Faculty of Engineering, Shoubra, Benha University. The appointment Dr. Taha Awad Allah El-Sayed as member Editorial Advisory Board strengthens the links and will make it easier for prospective authors to establish contact with the journal. Please send any expressions of interest to elixirpublishers@gmail.com.
Please Login using your Registered Email ID and Password to download this PDF.
This article is not included in your organization's subscription.The requested content cannot be downloaded.Please contact Journal office.Click the Close button to further process.
[PDF]
List of articles published in the month of July 2018
Table of contents for the month of July 2018
Please Login using your Registered Email ID and Password to download this PDF.
This article is not included in your organization's subscription.The requested content cannot be downloaded.Please contact Journal office.Click the Close button to further process.
[PDF]