Volume 19, Issue 2, March 2016
Submission: 10 February 2016
Notification: 15 February 2016
Revision: 20 February 2016
Publication: 01 March 2016
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Global Impact Factor (2015): 0.843
Index Copernicus Value (2014): 7.62
InfoBase Index Value (2013): 3.51
The International Journal of Computational Engineering and Management (IJCEM) is an Open Access, Indexed, Peer Reviewed International Journal with a key objective to provide Academic, Industrial and Scientific Community a medium for presenting original cutting edge research related to Computational Science, Management, Engineering and Technology disciplines and their applications.
IJCEM invites authors to submit their original and unpublished work that communicates current research on Computational Sciences, Engineering, Management disciplines on Theoretical, Methodological and Practical Aspects, as well as their applications from real world problems like Science, Business, Commerce, Engineering and Technology.
Prospective authors should note that only original and previously unpublished manuscripts will be considered. Furthermore, simultaneous submissions are not acceptable.
Submission of a manuscript is interpreted as a statement of certification that no part of the manuscript is copyrighted by any other publication nor is under review by any other formal publication. It is the primary responsibility of the author to obtain proper permission for the use of any copyrighted materials in the manuscript, prior to the submission of the manuscript to International Journal of Computational Engineering and Management (IJCEM).
The International Journal of Computational Engineering and Management (IJCEM), the only English Language Journal in the Computational Science and Management fields published in India, is an international forum for academicians, researchers, engineers and scientists involved in all aspects of Computational Science, Management, Engineering and Technology to publish high quality, refereed papers.
The journal offers survey, experimental and review articles/research papers from experts in the field, promoting insight, state of the art understanding, and trends in Technology and Management. Contents include original research and innovative applications from all parts of the world. The papers for publication in IJCEM are selected through rigorous peer reviews to ensure originality, timeliness, relevance and readability. IJCEM presents mostly previously unpublished materials, selected conference papers with exceptional merit are also published, at the discretion of the editors.
Customary memories are facing acute design problems due to gradual scaling of CMOS technology. There is a great need of superseding the conventional memories by a device that could fulfil the emerging need of high density device and low power consuming memory designs (array) that are capable of delivering the prerequisite of any memory design to store data and instructions. Memristor is a device that can supersede the conventional CMOS based cell. It is a two terminal non-volatile multi-purpose device. Memristor can store input/output value, perform logic operations, can act as a switch, latch or flip flop. This paper concentrates on the working of Memristor and designing 4x4 Memristor based array (1T1M) and thus highlights the advantages of using Memristor and 1T1M(one transistor one memristor) array. Memristor used in this paper has been implemented with Verilog–A model in cadence virtuoso tool at 45nm technology. The average transient power was found to be 8.148 nW at 0.3V which shows that by employing Memristors, minimum voltage at which array is capable of retaining data is 0.3V.
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The value a company is usually ascertained based on the markets values of its equity in the markets. Share prices of a company inform the public on the prospect of such stock hence, decisions on purchase or sales is determined. Price to book value multiple is one of the valuation multiples used to predict stock price of companies. However, arguments exist on whether the P/B multiple can be used to predict stock price of Nigerian firms. This study achieve this objective by examining effect of P/B multiple on stock price of 100 firms listed on the Nigerian Stock Exchange (NSE) covering 2009 to 2013 period data. Evidence from the ordinary least square (OLS) results reveals a significant positive relationship between price to book value and stock price of Nigerian listed firms. Therefore, we concludes that price-book value predict stock price of Nigerian listed firms. Hence, recommends the application of P/B value multiple in the prediction of future stock price.
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The journal welcomes publications of high quality papers on theoretical developments and practical applications in Computer Science, Engineering and Management. Original research papers, state-of-the-art reviews and high quality technical notes are invited for publications.
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