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1357 articles for “Calculations”
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Enhancing Consumer Trust and Satisfaction towards Cloud Services
Abstract: AbstractIn today’s world, consumer of a service is prior and top significant part of a business. Cloud computing is an efficient technology with a vast amount of momentum, and its unique parameters are exacerbating various security and privacy concerns. Going from computations to the “Cloud” is making computing calculations easier towards the users, at the same time it will bring some new security concerns regarding the safe and reliable use …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 52–57 Read article
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Modified Genetic Algorithm for Performing the Regression Testing
Abstract: AbstractIt states simply what work Software Testing is an approach where deferent errors and bugs in the software are identified. To test software we need the test cases. One of the mainly imperative activities in software maintenance is Regression Testing. The re-execution of all test cases throughout the regression testing is expensive and time consuming. And even though several of the code based planned techniques by researchers address technical programs. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 69–75 Read article
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Overview of Query Materialization
Abstract: AbstractA materialized view (MV) is the pre-calculated (materialized) result of a query. Unlike a simple view, the result of a materialized view is stored somewhere, generally in a table. Materialized views are used when immediate response is needed and the query where the materialized view bases on would take too long to produce a result. Materialized views have to be refreshed once in a while. It depends on the requirements …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 3, 2020 · pp. 35–45 Read article
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The Probability Model of Customer Retention with Measuring Customers’ Satisfactions
Abstract: Customer retention rate is an important topic in E-commerce when company hopes to keep the profit from the active customers by marketing programs. This study constructs a probability model to consider customer retention, follows Weibull distribution and is influenced by their satisfaction which is considered as a parameter on retention probability density function. A Bayesian form is formulated by calculating marginal density of customer retention. This probability model can predict …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 31–34 Read article
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Pandemic as an Opportunity – A Study on Companies Survival by Innovation
Abstract: It is said that every problem comes with an opportunity and it is said rightly as this Pandemic also arrives with Bucket full of opportunities. The opportunity to innovate, to create, to grow, to learn, to move forward with calculated risk. In this paper I have analyzed and tried to look for those companies who have done innovations by tapping in the opportunities during this pandemic times and because of …
Published in Journal of Advanced Database Management & Systems · Vol. 8, Issue 1, 2021 · pp. 27–33 Read article
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Performance Comparison between Back-Propagation Learning and Kohonen Self-Organizing Neural Networks Algorithm in Terms of Pattern Recognition
Abstract: Pattern recognition using back-propagation learning and Kohonen self-organizing neural network algorithms has been developed and measured various performance based on different criteria and environment of the pattern. These pattern recognition systems have taken the object image as input. In image pre-processing stage, scaling and clipping process has been applied from the background image to avoid unnecessary portion of the object image. Feature extraction has been performed after applying filtering and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Image Segmentation based on Region Merging using Breadth-First Search
Abstract: This paper proposed a new method for image segmentation based on region merging using breadth-first search (BFS). The image can be partitioned into multiple segments so that meaningful information is extracted out and then image is analyzed easily. In the proposed method, first the oversegmented image is obtained by applying a standard watershed transformation on original image. Then BFS is executed on the oversegmented image to obtain a segmented image. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 20–25 Read article
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Extracting Alphabets and Numbers from License Plate using Mean Value
Abstract: Segmentation plays a significant role in computer vision and its related applications of image processing. Segmentation is actually a process of partitioning a digital image into multiple segments (sets of pixels) to simplify and/or change the representation of an image into more meaningful and easier to analyze. This paper presents a method of license plate extraction using segmentation method and mean value of the images. We extracted the numbers and …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 1–8 Read article
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Face Registration with Vigorous Improved M-Estimator
Abstract: Vigorous face registration method based on Ali’s based M-Estimator (MCCA) is well-defined in this paper. A proficient valued mask function used in correlation is calculated by Ali, based vigorous statistics and used as a similarity measure to register images. The mask function is used to quashing the occlusion and as well as distant outliers, which are not controlled by the Huber based M-estimator usually. The supremacy of this algorithm is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 3, 2015 · pp. 1–11 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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Implementation and Analysis of OLSR Protocol in NS2
Abstract: The optimized link state routing protocol (OLSR) is developed for mobile ad hoc networks. It operates as a table driven, proactive protocol, i.e., exchanges topology information with other nodes of the network regularly. Each node selects a set of its neighbor nodes as "multipoint relays" (MPR). In OLSR, only nodes, selected as such MPRs, are responsible for forwarding control traffic, intended for diffusion into the entire network. MPRs provide an …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 26–34 Read article
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The OTDOA Based Location Updating Algorithm for Fast D2D Connection Handovers
Abstract: This work includes the goal to develop a technique for efficient positioning of user equipment and implementation of connection handover for device to device (D2D) communication application. This D2D application, being addressed as Battery Deposit Service (BDS), is a utility for optimizing battery of smartphone by reducing energy consumed in communication over network. Addition of an energy efficient positioning & handover strategy for D2D connections will allow the system to …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 2, Issue 2, 2015 · pp. 24–34 Read article
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A combined concept of K-means clustering and DES technique accomplishing Anonymization method for Privacy Preservation
Abstract: Privacy-Preserving Data Mining also an important part of the data mining and privacy preservation has gain particular attention in current years. Data mining has been widely studied and useful into numerous fields which include the the business growth. In any case, Data mining strategies furthermore take region basic requesting circumstances because of augmented touchy measurements revelation and the infringement of privacy. This discussion describes the privacy concern that occurs due …
Published in Journal of Advances in Shell Programming · Vol. 5, Issue 1, 2018 · pp. 14–19 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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An Encounter Based Routing Mechanism to Improve Delivery Ratio and Reduced Overhead Ratio in Opportunistic Networks
Abstract: OPPNETs (Opportunistic Networks) are wireless networks that have sporadic network connectivity, thus rendering the existence of instantaneous end-to-end paths from a source to a destination difficult or impossible. Hence, in such networks, message delivery relies heavily on the store-and-forward paradigm to route messages. However, limited knowledge of the contact times between the nodes poses a big challenge to effective forwarding of messages. In this paper, EBR (encounter based routing) is …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 3, 2016 · pp. 27–32 Read article
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A Novel Approach for Performance Analysis of Dynamic Information Integration
Abstract: AbstractData analysis and management was not a problem few years ago as the amount of data generated was not as huge as to cause any complexity. But in the recent years the amount of data being generated has increased exponentially. Thus management and analysis has become a problem since the traditional database management systems were not designed to handle such large amounts of data. The relational database management systems still …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 1, 2019 · pp. 27–41 Read article
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Analysis of the Various Eyes Images using Colour Segmentation Techniques and their Noise effects
Abstract: AbstractThe introduction of computer technology image-processing techniques have gradually becomes more important in a broad variety of applications. Image segmentation is a classic subject in the field of image processing with the enhancement of computer processing capabilities and the increased application of colour image, the colour image segmentation are additional concerned by the researchers. In areas of image processing, colour segmentation has been and still it is very important research …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 1, 2017 · pp. 4–11 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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An Optimized FIR Filter Architecture Using Approximate Radix-8 Booth Multiplier
Abstract: This paper presents an optimized FIR filter architecture using approximate radix-8 Booth multiplier. The radix-8 Booth multiplier is slow due to the complexity of generating the odd multiples of the multiplicand. Hence, for calculating the sum of 1x and 2x of a binary number x, an approximate 2-bit adder is deliberately designed. This adder requires a small area, a low power and a short critical path delay. Subsequently, the less …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 5, Issue 1, 2018 · pp. 1–7 Read article
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Plant Disease Detection Using SVM
Abstract: AbstractDiseases in plants are responsible for major production and economic losses and also reduction in yield. Detection of plant disease through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops, and at very early stage itself, it detects the symptoms of diseases. Detection on plant is very critical for defensible agriculture. It is very challenging to monitor the plant diseases physically. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 3, 2017 · pp. 8–12 Read article