International Journal on Future Revolution in Computer Science & Communication Engineering
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Mathematics as a Gateway to Management Student's Success
No full textThe study of mathematics stands, in many ways, as a gateway to student success in education. This is becoming particularly true as our society moves inexorably into the technological age. Therefore, it is vital that more students develop higher levels of competency in mathematics. The standards and expectations for students must be high, but that is only half of the equation. The more important half is the development of teaching techniques and methods that will help all students (rather than just some students) reach those higher expectations and standards. This will require some changes in how mathematics is taught. Effective education must give clear focus to connecting real life context with subject-matter content for the student, and this requires a more ''connected" mathematics program. In many of today's classrooms, especially in management college, teaching is a matter of putting students in classrooms marked "Management" "Economics," "Accountancy," or "mathematics," and then attempting to fill their heads with facts through lectures, textbooks, activities and the like. Aside from an occasional lab, workbook, or "story problem (case studies)," the element of contextual teaching and learning is absent, and little attempt is made to connect what students are learning with the world in which they will be expected to work and spend their lives
Comparison of Classification Algorithms used in Credit Card Fraud Detection
No full textis one of the major ethical issues in the credit card industry. Various techniques are used to restrict these types of credit card frauds. Firstly, to detect the various types of credit card fraud, and, secondly, to review alternative techniques that have been used in fraud detection. In this paper, Authors proposed an application of different classification algorithms model in credit card fraud. It has also been explained how the machine learning can detect whether an incoming transaction is fraudulent or not
Data embedded by LSB and Image Decomposition by DWT with Optimization using PSO in Image Steganography
No full textIn this paper, data embedding in image using the wavelet approach technique with least significant bit(LSB). Optimization technique (PSO) for which locations our data can embed. In Discrete Wavelet Transform, haar Wavelet form used for image Steganography. Sample data is taken from our library dataset. Dataset can we take in text format which are want to keep secure and embed in cover image. For DWT haar wavelet form is apply on cover image to 1-level Decomposition. At the 1-level decomposed image size is depend on original image size. Particle swarm optimization is obtained by training of particles applied on input cover image. Group of particles called as a population. Particles are find best values locations, after all iterations as a output we get final locations on cover image where our information can hide. Data is embedded in the corresponding locations on image using LSB
Image Contrast Enhancement with Brightness preserving using Curvelet Transform and Multilayer Perceptron
Get PDFImage Improvement Techniques Are Veryuseful In Our Daily Routine. In The Field Ofimage Enhancement Histogram Equalizationis A Very Powerful, Effective And Simplemethod. But In Histogram Equalizationmethod The Brightness Will Disturb Whileprocessing. Original Image Brightnessshould Be Kept In The Processed Image. Soimage Contrast Must Be Enhanced Withoutchanging Brightness Of Input Image. In Ourproposed Method Of Image Contrastenhancement With Brightness Preservingusing Curvelet Transform And Multilayerperceptron We Will Solve This Problem Andget Better Result Than Existing Methods.Results Are Compared On The Basis Of Twoimportant Parameter For Image Quality Suchas Absolute Mean Brightness Error (Ambe)And Peak Signal To Noise Ratio (Psnr)
Solution of EPD by Fourier Transform Method
Get PDFWe solve the Euler-Poisson-Darboux (EPD) equation using the Fourier transform method. The inverse Fourier transform is found using a convolution with the Heaviside step function in order to obtain the solution. We then extend our results into a generalized hypergeometric form and we also discuss the differentiability of the solution
Semantically Secured Non-Deterministic Blum–Goldwasser Time-Based One-Time Password Cryptography for Cloud Data Storage Security
Get PDFThe security level of outsourced data is significant in cloud storage. Few research works have been designed for secured cloud data storage. However, the data security level was lower because the authentication performance was not effective. In order to overcome such drawbacks, a Semantically Secured Non-Deterministic Blum–Goldwasser Time-Based One-Time Password Cryptography (SSNBTOPC) Technique is proposed. The SSNBTOPC Technique comprises three steps, namely key generation, data encryption and data decryption for improving cloud data storage security with lower cost. Initially, in SSNBTOPC Technique, the client registers his/her detail to the cloud server. After registering, the cloud server generates the public key and secret key for each client. Then, clients in cloud encrypt their data with the public key and send the encrypted data to the cloud server for storing it in the database. Whenever the client needs to store or access the data on cloud storage, the client sends the request message to the cloud server. After getting the requests, cloud server authenticates the clients using their secret key and Time-based One-Time Password (TOTP). After the verification process, SSNBTOPC Technique allows only authorized clients to get data on cloud storage. During data accessing process, the client data is decrypted with their private key. This helps for SSNBTOPC Technique to improve the cloud storage security with a minimal amount of time. The SSNBTOPC Technique carried outs the experimental evaluation using factors such as authentication accuracy, computational cost and data security level with respect to a number of client and data. The experimental result shows that the SSNBTOPC Technique is able to increases the data security level and also reduces the computational cost of cloud storage when compared to state-of-the-art works
The Fundamental Group on Algebraic Topology
Get PDFAlgebraic topology is mostly about finding invariants for topological spaces. The fundamental group is the simplest, in some ways, and the most difficult in others. This project studies the fundamental group, its basic properties, some elementary computations, and a resulting theorem. In this paper, we will examine the construction and nature of the first homotopy group, which is more commonly known as the fundamental group of a topological space. We will first briefly cover the basics of point-set topology, then use these concepts to facilitate a rigorous study of the construction of the fundamental group
Image Segmentation and Classification for Medical Image Processing
Get PDFSegmentation and labeling remains the weakest step in many medical vision applications. This paper illustrates an approach based on watershed transform which are designed to solve typical problems encountered in various applications, and which are controllable through adaptation of their parameters. Two of these modules are presented: the lung cancer detection, a method for the segmentation of cancer regions from CT images, a watershed algorithm for image segmentation and brain tumor detection from MRI images. Various GLCM features along with some statistical features are used for classification using Neural network and Support Vector Machine (SVM). We describe the principles of the algorithms and illustrate their generic properties by discussing the results of both applications in 2D MRI images of Brain tumor and CT images of lung cancer
Sorting Technique- An Efficient Approach for Data Mining
Get PDFAs the new data or updates are arriving constantly, it becomes very difficult to handle data in an efficient manner. Moreover, if data is not refreshed it will soon become of no use. Hence data should be updated on regular mode so that it do not obsolete in coming future. In traditional work several other approaches or methods like page ranking, i2mapreduce( that is extension of Map Reduce) were used to enhance performance and increase computation speed as well as run-time processing. But as we have seen the performance is not up to that level which is required in current environment. So, to overcome these drawbacks, in this paper sorting technique is proposed that can enhance mean value and overall performance
Managerial Dimensions of Ramayana : A Managerial Point- of- View
No full textRamayana has considered as a wonderful epic and the first written literature in the Indian context. Over the centuries, several authors have explored various aspects of Ramayana ranging from spirituality, politics, sociology, culture, literature, language, poetry, technology and many more. Ramayana is equipped with several lessons concerned with managers' effectiveness. Therefore, this effort aims to fill the gap in the literature by exploring the relevance of Ramayana for development of modern managers by employing, a qualitative methodology, this paper have explored devotion towards elders, towards work, work ethics, leadership values, motivation, dharmic management, principles of self control and being keen, decision making, humanism which provide meaningful lessons for enhancing managerial effectiveness. The managerial impact of Ramayana seems to be unlimited and undiminished