Journal of Image Processing and Artificial Intelligence (e-ISSN: 2581-3803) http://matjournals.co.in/index.php/JOIPAI <p><strong>Journal of Image Processing and Artificial Intelligence:-</strong> is a print e-journal focused towards the rapid Publication of fundamental research papers on all areas of image processing and artificial intelligence.<br /><br />technologies supplementing or supporting information systems or presentation, such as computer graphics, natural language processing, pattern recognition and data mining; and virtual and artificial realities and related simulation.</p> <ul> <li>Adaptive Agents and Intelligent Robotics</li> <li>Artificial Life</li> <li>Computer Graphics</li> <li>Computer Vision</li> <li>Expert Systems</li> <li>Image Processing</li> <li>Natural Language Processing</li> <li>Neural, Evolutionary and Fuzzy Computation</li> <li>Pattern Recognition and Data Mining</li> <li>Simulation and Modelling</li> <li>Virtual Reality and Related Simulation</li> <li>Artificial Intelligence and Image Processing not elsewhere classified</li> </ul> <p>This Journal involves the comprehensive coverage of all the aspects of image processing and artificial intelligence.</p> en-US Journal of Image Processing and Artificial Intelligence (e-ISSN: 2581-3803) Application of P-B Methodology for Edge Detection of Images http://matjournals.co.in/index.php/JOIPAI/article/view/5144 <p>Edge Detection is an important part of image processing. Edge detection of images has become the biggest challenge to the research personnel. In this paper, anobel edge detection method which computes edges of different images using the technique of Prewitt operator along with Bergholm Operator is presented. Here, the edge detection of images using Prewitt-Bergholm (P-B) Operatoris compared with Prewittas well as Bergholm Operator separately.</p> Kalyan Kumar Jena Sasmita Mishra Copyright (c) 2024 Journal of Image Processing and Artificial Intelligence (e-ISSN: 2581-3803) 2015-09-11 2015-09-11 1 1,2,3 Designee of a Scalable Database Management Systems (DBMS) http://matjournals.co.in/index.php/JOIPAI/article/view/5140 <p>Scalable database management systems (DBMS)-both for update intensive application workloads as well as decision support systems for descriptive and deep analytics-are a critical part of the cloud infrastructure and play an important role in ensuring the smooth transition of applications from the traditional enterprise infrastructures to next generation cloud infrastructures. Though scalable data management has been a vision for more than three decades and much research has focused on large scale data management in traditional enterprise setting, cloud computing brings its own set of novel challenges that must be addressed to ensure the success of data management solutions in the cloud environment. This tutorial presents an organized picture of the challenges faced by application developers and DBMS designers in developing and deploying internet scale applications. Our background study encompasses both classes of systems: (I) for supporting update heavy applications and (II) for ad-hoc analytics and decision support. We then focus on providing an in-depth analysis of systems for supporting update intensive web-applications and provide a survey of the state-of-the-art in this domain. We crystallize the design choices made by some successful systems large scale database management systems, analyze the application demands and access patterns, and enumerate the desiderata for a cloud-bound DBMS.</p> Md. Masud Parvez Copyright (c) 2024 Journal of Image Processing and Artificial Intelligence (e-ISSN: 2581-3803) 2015-03-26 2015-03-26 1 1,2,3 Edge Detection of Images: An Application of S-R Technique http://matjournals.co.in/index.php/JOIPAI/article/view/5145 <p>Now-a-days, Edge detection of images is a serious challenge to the researchers. Different techniques can be implemented to detect the edges of different images. But a single edge detection technique is not enough to perform well in each and every possible image context. In this paper, an improved edge detection method that computes edges of different images using the concept of Sobel operator with Rothwell Operator is presented. Here the edge detection of images using Sobel-Rothwell Operator is compared with Sobel as well as Rothwell Operator individually.</p> Kalyan Kumar Jena Sasmita Mishra Copyright (c) 2024 Journal of Image Processing and Artificial Intelligence (e-ISSN: 2581-3803) 2015-11-12 2015-11-12 1 1,2,3 YK- 2038 Bug http://matjournals.co.in/index.php/JOIPAI/article/view/5142 <p>This paper talks about the problem we all will be facing precisely on 19th Jan. 2038. Digital world has been vulnerable by several bugs however, solely a couple of looked as if it would cause a good danger. The bug that got most famed was Y2K. Somehow, we tend to got over it, then, there was Y2K10. It too was resolved and currently we tend to have Y2K38. The Y2K38 bug, if not resolved, will make sure that the predictions that were created for the Y2K bug come true this point. On 19th Jan. 2038 within all UNIX supported Operating system Time and Date would began to work incorrectly. This produces a big problem which is critical for all Software’s and basically a threat to embedded systems. Hence afterwards it basically shows possible solutions which we can take to avoid Unix Millennium 2038 problem. By doing research I have developed a patch. Now I have moved this patch to GitHub. This patch can enable the 32bit S/W to use 64bit time_t on a 32bit computer. This patch is still under development but it is current state has been shown in this paper along with all the codes and brief description of each and every function and files. I think to quickies way to solve this problem is by using patch which Software developers who are having 32bit S/w simply needs to include all header files and implementation files within their software and use the function I along with other open source community has made. Coding has been done in C language.</p> Vikash Chandra Sharma Copyright (c) 2024 Journal of Image Processing and Artificial Intelligence (e-ISSN: 2581-3803) 2015-06-24 2015-06-24 1 1,2,3 An Efficient Approach for Edge Detection of Images: A Step beyond the Traditional Methodology http://matjournals.co.in/index.php/JOIPAI/article/view/5138 <p>In this paper, a novel edge detection method that computes edges of different images using the concept of Center of Mass with Prewitt Operator is presented. The proposed method can be used as a template for multi-scale edge detectors for processing different images. Here the edge detection by COM technique with Prewitt operator is compared with COM technique.</p> Kalyan Kumar Jena Sasmita Mishra Copyright (c) 2024 Journal of Image Processing and Artificial Intelligence (e-ISSN: 2581-3803) 2015-02-18 2015-02-18 1 1,2,3