Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Mishra, Jibitesh
- An Effective Mobile Learning Model for Learning through Mobile Apps
Abstract Views :320 |
PDF Views:141
Authors
Affiliations
1 Department of Information Technology, C.E.T, Ghatikia, Bhubaneswar, IN
1 Department of Information Technology, C.E.T, Ghatikia, Bhubaneswar, IN
Source
IBMRD's Journal of Management & Research, Vol 4, No 2 (2015), Pagination: 1-23Abstract
With information and communications technology becoming portable and individualoriented, we are today experiencing the first level of effective mobile learning as it was envisioned decades ago. Mobile technologies have the power to promote and foster collaboration and communication, which are deemed essential for twenty-first century success. Mobile devices allow students to gather, access, and process information outside the classroom. They can encourage learning in a real-world context, and help bridge school, after school, and home environments. This paper discusses a transition between e-learning and mlearning. It also explains the social aspects as one of the context that accounts for mobile learning. Overall it suggests an M-learning framework using different contexts of mobile learning through a RDF data model.- On Estimation of Fractal Dimension of Noisy Images
Abstract Views :177 |
PDF Views:0
Authors
Affiliations
1 Department of Information Technology, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar – 751003, Odisha, IN
2 Department of Computer Science and Application, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar – 751003, Odisha, IN
1 Department of Information Technology, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar – 751003, Odisha, IN
2 Department of Computer Science and Application, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar – 751003, Odisha, IN
Source
Indian Journal of Science and Technology, Vol 10, No 17 (2017), Pagination:Abstract
Objectives: This paper studies the noise effect on the estimation of Fractal Dimension (FD) of gray scale images and finds out which filter is best for estimating FD accurately for noised images. Methods/Statistical Analysis: Noise can lead to inaccurate estimation of FD, for this experimental analysis we have taken various types of noise factors to generate noisy images. The FD of original and noisy images has been estimated by using improved differential box-counting (IDBC) and compared. Further, three standard noise filtering techniques are used to remove the noise, and then it estimate the variation in fractal dimension of the original and de-noised image. Findings: As roughness of image is concerned, it will increase the addition of noise so FD also increased accordingly. In order to accurately estimate the FD of noised images, we have taken various standard filters to remove noise and to finding out which filter is best for estimating FD accurately for noised images. So in this regard, we have taken average FD variation for each image with each filter and found the nontexture images, mean filter has minimum FD variation even if it has a slightly more mean square error than other filters. Application/Improvements: it is easier to estimate the accurate fractal dimension of noisy textured images as compared to non-textured images. Further, other techniques are to be explored for estimating the accurate fractal dimension of noisy images.Keywords
Gaussian, IDBC, MSE, Poisson, Salt and Pepper, Speckle.- Modeling the Requirements Based on Contexts in Mobile Native Apps
Abstract Views :181 |
PDF Views:0
Authors
Affiliations
1 Department of Information Technology, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar – 751003, Odisha, IN
2 Department of Computer Science and Application, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar – 751003, Odisha, IN
1 Department of Information Technology, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar – 751003, Odisha, IN
2 Department of Computer Science and Application, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar – 751003, Odisha, IN
Source
Indian Journal of Science and Technology, Vol 10, No 10 (2017), Pagination:Abstract
Objectives: This research study provides an analysis model which is used to analyze the requirements of mobile native apps contextually under any domain. Methods/Statistical Analysis: Based on the background study, the research process have taken three research approaches and also have identified various activities which are performed among a native mobile app user and mobile native apps and formed them into questionnaires which are sent to different mobile native app developers of different software industries. This research process has determined the requirements based on four contexts in mobile domain such as device context, mobility contexts, user context and social contexts. Findings: These activities are mapped into attributes and contexts for modeling the requirements under mobile domain and for developing the sub models of the analysis model. Finally the analysis model is built and composed of four sub models. These sub models are content analysis model, interaction analysis model, functional analysis model and configuration analysis model. Application/Improvements: This research study provides the analysis model where the requirements are analyzed in a mobile native app under any domain such as agriculture, learning or healthcare applications. This analysis model is significant as it determines the contexts and models the contexts which are not specified in any frameworks or process models.Keywords
Configuration Analysis, Content Analysis, Functional Analysis, Interaction Analysis.- A Study for the Compliance of Universal E-Contract Framework with E-Business Website
Abstract Views :202 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science and Engineering, Biju Patnaik University of Technology (Bput), Rourkela - 769015, Odisha, IN
2 Department of CSA, College of Engineering and Technology, Kalinga Nagar, Bhubaneswar − 751003, Odisha, IN
1 Department of Computer Science and Engineering, Biju Patnaik University of Technology (Bput), Rourkela - 769015, Odisha, IN
2 Department of CSA, College of Engineering and Technology, Kalinga Nagar, Bhubaneswar − 751003, Odisha, IN
Source
Indian Journal of Science and Technology, Vol 11, No 5 (2018), Pagination:Abstract
Objectives: To compare different e-commerce website with different e-contract parameters which we have defined in MTUECF universal e-contract framework model. Methods/Analysis: We have studied the information provided by the organizations through their website in different information pages like terms and conditions, information related to seller policy, buyer policies, user agreements, privacy policies etc. to the user. We have considered 13 popular websites empirically having its presence in India. We validate the parameters of MTUECF with these websites using statistical t-test. Findings: It was found after the analysis that the Organizations having their International recognition are addressing the basic contract guidelines along with the privacy and security aspects. Out of 13 e-commerce websites only 10 websites pass the acceptance test as per statistical t-test. Applications/Improvements: This study first time demonstrates the application of statistical test for validating the different e-contract parameters of website for its universalness.Keywords
E-commerce; E-contract, Privacy, Website, MTUECF- Implementation of A Secure Electronic Contract
Abstract Views :175 |
PDF Views:0
Authors
Affiliations
1 Department of Computer Science & Engineering, BPUT, Rourkela - 769015, Odisha, IN
2 Department of CSA, College of Engineering & Technology, Bhubaneswar - 751003, IN
1 Department of Computer Science & Engineering, BPUT, Rourkela - 769015, Odisha, IN
2 Department of CSA, College of Engineering & Technology, Bhubaneswar - 751003, IN