Volume 19, Issue 4, July 2016
Submission: 15 June 2016
Notification: 18 June 2016
Revision: 20 June 2016
Publication: 01 July 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IJCEM invites authors to submit their original and unpublished work that communicates current research on Computational Sciences, Engineering, Management disciplines on Theoretical, Methodological and Practical Aspects, as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Prospective authors should note that only original and previously unpublished manuscripts will be considered.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 IJCEM presents mostly previously unpublished materials, selected conference papers with exceptional merit are also published, at the discretion of the editors.
Occupational Stress is an inevitable consequence in the Information Technology (IT) sector. The IT professionals are characterized with long working hours, tight schedules, high competition, continuous viewing of Visual Display Unit (VDU) and etc., are taking their toll which is leading to Occupational Stress. In this scenario, the current study was undertaken to measure occupational stress among IT Professionals. The sample comprised of 500 IT Professionals working in various IT corporates in Hyderabad, Telangana State. The Occupational Stress Index (OSI) developed by Srivastava A. K. and Singh A. P. (1984) was used for data collection. The data obtained was analysed using descriptive statistics. The results clinched that the IT Professionals are experiencing high levels of stress.
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Development of the method for generalizing the planer kinematic chains having same number of links but different kinematic pairs. By using link-link form of the incidence matrix or [JJM] Matrix. and elements of the matrix was chosen as one and zero depending on the absence or presence of a direct kinematic connection in between the joints, we found that kinematic chains having same number of link and different kinematic pair are isomorphic but in real practice it should be different. To overcome this problem we are trying to develop a different set of matrix called kinematic pair matrix.
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Automatic License Plate Recognition (ALPR) is a computer system which automatically recognizes the license plate from the digital image ie. from captured image of vehicle. This system involves various processes such as Image Capturing, Localization of Number Plate, Segmentation of characters and Optical Character Recognition (OCR) of the alphanumeric characters. The main aim of this system is to design and develop an efficient image processing techniques and algorithms for localization of license plate in captured image, segmentation of characters from that license plate and recognition of each characters from the segmented part using Open Computer Vision Library. This system has been implemented in single board computer called Beagle Bone Black with the support of OpenCV and python programming language. Many applications can be developed using this system such as security, highway speed detection, light violation, handwritten text identification, detecting stolen cars, and automated toll collection systems.
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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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