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444 articles for “segmentations”
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Green marketing - An innovative marketing tool
Abstract: The concept of marketing started to dominate all business houses during 1950s and this domination continues till date. In initial phase of marketing the focus area was to produce the efficient goods for customers without analyzing their current need. The aim to do so was to attract more and more customers toward the product, but with passage of time a drastic change has been observed in concept of marketing. According …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 1, 2019 · pp. 26–30 Read article
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An Empirical Investigation of Factors Affecting Women’s Online Purchase Intentions
Abstract: AbstractWith the rise in internet penetration, internet subscribers in India are expected to rise from 445.96 million in 2017 to 829 million by 2021 and by 2025, approximately 220 million people would shop online as per BCG report on Digital Spending in India. The shift in the online buyer profile from a male dominant segment to female buyer group would encourage & provoke retailers to think & re-design their strategies. …
Published in E-Commerce for Future & Trends · Vol. 6, Issue 2, 2019 · pp. 18–29 Read article
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Intelligent Computing with Natural Language Processing
Abstract: AbstractNatural language processing is a branch of computer science and artificial intelligence which involve machines or robots to understand and process the language that human speaks or which is concerned with interaction between computer and human languages. Natural Language Processing put great efforts for making computer interfaces so that it will become easier to operate the machine through natural language rather than commands. There are various languages that support NLP …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 63–68 Read article
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Online Shopping Intention for Consumer Electronics Products: A Literature Review and Conceptual Model
Abstract: Internet and its related technologies have opened the new spectrum for the marketers. One of the highest growing segments is business to consumer E-commerce. E-commerce offers enormous opportunities for the marketer to promote products and services. Thought these opportunities come along with notable challenges. To capitalize on the opportunities and to develop the strategies to deal with challenges that are prevailing in e-commerce market online retailers and website developers have …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 1, 2020 · pp. 24–32 Read article
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Role of Skill Development Training on Employability of Women
Abstract: The purpose of this paper is to present the role of skill development training on employability of women. Women are the most important aspect in the way of economic growth. But, it can be seen that Skills and knowledge are the driving forces of economic growth and social development of any country. The economy becomes more productive, innovative and competitive through the existence of more skilled human potential. Women are …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 2, 2020 · pp. 7–13 Read article
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Modeling Campus VLAN using OPNET Simulation
Abstract: Virtual LANs have long been used within campus networks to create logical workgroups, independent of physical location or LAN topology. It is important to analyze VLAN capabilities, found in both wired and wireless devices, to tag and compartmentalize Wi-Fi traffic, supporting institution’s security and traffic management policies. A campus VLAN is modeled using OPNET modeler and traffic over VLAN is analyzed. Differences in throughput and network delay are compared over …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Detection of Facial Parts based on ABLATA
Abstract: Facial feature detection from standard 2D RGB images is a well-researched field but out of prolific techniques there isn't much efficacy is achieved in the previous studies that can extract feature data even for a low quality images in real time. Hence, we propose an algorithm based on Attribute Based Level Adaptive Algorithm (ABLATA) which use recursive data estimates for this task. While the recursive data estimates learns the relation …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 1, 2015 · pp. 36–41 Read article
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A Review on Brain Tumor Detection Techniques
Abstract: Brain tumor is an abnormal growth of the cells inside the brain. Detecting brain tumor takes special skills and techniques because they are difficult to detect – especially in early stages. The boundary of the tumor (i.e., the abnormality in brain) in an MRI or different medical images can be traced using image processing techniques. The input image to the system is taken either from the available database or the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 3, 2014 · pp. 6–9 Read article
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Comparative Review on Image Fusion Techniques
Abstract: The goal of image fusion is to combine relevant information from two or more images of the same scene of the different times. The result of image fusion is a new fused image which is more suitable for human being and machine discernment for further image-processing tasks like segmentation, feature taking out and object recognition. Image fusion is the combination of two or more different images to form a new …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 3, 2014 · pp. 10–13 Read article
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Detect the Edges of Hygienic Images and De-Noised Images Using Meta Heuristic and F-Ratio
Abstract: AbstractEdge detection is one of the important parts of image processing. It is essentially involved in the pre-processing stage of image analysis and computer vision. It generally detects the contour of an image and thus provides important details about an image. So, it reduces the content to process for the high-level processing tasks like object recognition and image segmentation. The most important step in the edge detection, on which the …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 19–25 Read article
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Feature Extraction and Classification for Using Mammographic Images
Abstract: AbstractOne of the greatest threats prevailing among women is the breast cancer. According to the National Cancer Institute, 22% of new cases occur every year and it is considered to be the second most frequent type of cancer, worldwide. Mammogram is very important imaging technique that used diagnosis in early stages of breast cancer. Mammography is in this case the best diagnostic technique for screening, the radiology tool which gives …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 10–18 Read article
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Hardware/Software Co-Simulation of Gradient-based Edge Detectors: A Comparative Study
Abstract: Edge detection, a segmentation technique, produces an edge map that contains important information about the image. We realized Gradient-based Edge Detection Algorithms in FPGA hardware utilizing Hardware-Software Co-Simulation with the help of Simulink (Mathworks) and System Generator (Xilinx). We explored and utilized different gradient based edge detection operators Sobel-Fieldman, Robert and Prewitt Operator. After comparative analysis, we found both Sobel and Robert operators among the best with hardware realization of …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 30–37 Read article
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Detection and Retrieval of Follicles in Polycystic Ovarian Syndrome (PCOS) using Image Processing Techniques
Abstract: About to 18% women of reproductive age are affected by PCOS (Poly Cystic Ovarian Syndrome), a common endocrinopathy. It is also known as PCOS (Poly Cystic Ovarian Syndrome) or Stein-Leventhal syndrome. An imbalance of woman’s female hormones like estrogen and progesterone occur which causes the infertility. There are various methods which are used to diagnose this condition but the most helpful method is the pelvic ultrasound which confirms the presence …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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Plant Leaf Sickness Recognition Using Image Processing
Abstract: This paper demonstrates the use of image processing techniques in detection of diseases in plants. The system which we have demonstrated in this technique is a software result for computerized detection and computing of the texture enumeration for the leaf diseases in plants. This processing system involves four major steps: (1) in this step we take an RGB image as input and it’s colour transformation structure is created, (2) in …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 26–31 Read article
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Optical Character Recognition Using Back Propagation Neural Network
Abstract: This paper represents an Artificial Neural Network (ANN)-based approach for the recognition of English characters using feed-forward neural network. Noise has been considered as one of the major issues that degrades the performance of character recognition system. Our feed forward network has one input, one hidden, and one output layer. The entire recognition system is divided into two sections, namely training and recognition section. Both the sections include image acquisition, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 11–18 Read article
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Highly Efficient Mobile Computing Using Global Positioning System Techniques
Abstract: Mobile Computing communications has become a heatedly debated issue to the computing trade for the forth coming back years; thanks to the progress within the wireless communications space. GPS could be a network of satellites that endlessly transmits coded information that makes it attainable to exactly determine locations on earth by menstruation distance from the satellites This paper tries to style a system which mixes these two technologies; it's attainable …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 1, 2019 · pp. 14–19 Read article
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Analysis and Performance in Action Recognition
Abstract: AbstractHuman activity and movement examination has been explored under a few extensive research ventures around the world. Issues like foundation mess, fractional impediment, changes in scale, perspective, lighting and appearance drives the undertaking of perceiving human exercises from video arrangements or still pictures into a testing assignment. Numerous applications, including video reconnaissance frameworks, human-PC communication, and apply autonomy for human conduct portrayal, require a different action acknowledgment framework. In numerous …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 16–20 Read article
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Moving Vehicle Speed Determination and Number Plate Recognition through Feature Extraction
Abstract: AbstractVelocity Estimation, instead of using complex algorithms, can be easily implemented on MATLAB by some simple calculations. Speed can also be tracked using the threshold values and thus concerned authorities can be notified using the Gmail interfacing. For real time applications, some advanced hardware should be used. Nowadays traffic is a very big problem in the urban areas that has to be addressed. Video monitoring is one of the latest …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 1–3 Read article
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A Review on Web Application with Vulnerabilities Protection
Abstract: Abstract— Web application vulnerabilities as easy to misuse Vulnerable Web applications not only put network frameworks and devices at substantially more greater risk, they likewise offer an immediate channel to confidential customer data, for example, credit card numbers, account history and health records, and also to corporate data. The security requirements of web applications by giving an analysis of the objects, principals and the features of present day web applications. …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 3, 2017 · pp. 31–38 Read article
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Image Processing Based Analysis of Fundus Images for Glaucoma Detection
Abstract: Precise and prompt identification of glaucoma is essential for its treatment. Fundus images provide important information, which shall be extracted using carefully designed image processing algorithms. The paper discusses a methodology for automatic detection of glaucoma from fundus images. The technique makes use of an elaborate image segmentation process, wavelet decomposition for feature selection and a proven classification model.Keywords: Glaucoma, fundus image, discrete wavelet transform, SVM classifierCite this ArticleShibina M.P, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 33–39 Read article