Dec' 23


The IUP Journal of Information Technology

ISSN: 0973-2896

A 'peer reviewed' journal indexed on Cabell's Directory, and also distributed by EBSCO and Proquest Database

It is a quarterly journal that publishes research papers on emerging tools, technologies and paradigms relating to various aspects of IT; Programming and Testing tools; Multimedia tools; Image processing and Communication; Neural networks; Big Data, Data Science; Data Analytics; Cognitive Technologies, Artificial Intelligence, Cloud Computing and Edge Computing; E-Commerce; Cyber Security; 5G Technology, Mobile Applications etc.

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Focus Areas
  • Database Systems
  • Programming Languages
  • Software Engineering and Project Management
  • Web Technologies
  • Mobile Computing
  • Network and Distributed Computing
  • Computer Security
  • Intelligent Systems
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Article   Price (₹) Buy
Revolutionizing Image Captioning: A Fresh Perspective Through Stylistic Enhancement and Adversarial Learning
50
Green Cloud-Based Model for Improved Healthcare Information and Collaboration in Ethiopia
50
Risk Mitigation Using Robotics: Case Studies
50
       
Contents : (Dec'2023)

Revolutionizing Image Captioning: A Fresh Perspective Through Stylistic Enhancement and Adversarial Learning
Sushma Jaiswal, Harikumar Pallthadka, Rajesh P Chinchewadi and Tarun Jaiswal

Attention-GAN is an innovative model for captioning images that combines generative adversarial networks (GANs) with attention mechanisms in a smooth and seamless manner. The proposed model comprises two main parts. In order to prioritize important visual components for contextually rich captions, an attention-based caption generator first creates strong associations between visual areas and caption segments. Second, the introduction of aesthetic variation through an adversarial training process results in refined and styled descriptions that incorporate creative variances as well as content. This dual-component approach generates engaging and diverse image captions by fusing creativity through adversarial learning with accuracy through attention-based modeling. The capacity of Attention-GAN to produce visually beautiful and contextually relevant captions is demonstrated through extensive trials on benchmark datasets. Both quantitative and qualitative analyses validate the model's ability to generate captions that are consistent with image content and accommodate a range of artistic subtleties. For a broad range of computer vision and natural language processing applications, Attention-GAN is a promising technology that bridges the gap between factual description and creative expression.


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Article Price : Rs.50

Green Cloud-Based Model for Improved Healthcare Information and Collaboration in Ethiopia
Temesgen Tona, Getachew Tewachew and Durga Prasad Sharma

The paper analyzes the issues and challenges of the current information and communication process of private sector healthcare institutions in Ethiopia. Both qualitative and quantitative research approaches were used to collect and analyze data using surveys, interviews, observation and related secondary source documents. The analysis indicated the research gaps in the current information and communication process models and the clear direction toward a solution. This study employed a mixed research design (both exploratory and applied research) and used Google Forms for a survey and interview-based fact-finding and analysis, Microsoft Visio for model designing, and Protopie for prototyping. As a final contribution, the study designed and validated a cloud-based green information and communication process model for the federated healthcare institutions in developing countries in general and the Southern Nations, Nationalities and Peoples Region (SNNPR) of Ethiopia in particular. This model can be used as an important instrument for inter or intra institutional collaboration and communications. Based on the user acceptance and demonstrated validation, the results indicate improvements in energy, efficiency, unified data repository, intra institutional collaboration, information sharing, trusted and ethical information and unified integration and share-ability. The test validated the model and its prototype as a new knowledge contribution to the domain. The research findings can be used as a basis for next-generation transformation of private sector healthcare institutions in developing countries such as Ethiopia.


© 2023 IUP. All Rights Reserved.

Article Price : Rs.50

Risk Mitigation Using Robotics: Case Studies
Venkata Ravi Ram Pinninti and Pavitra Pinninti

Use of drones in plant inspection, in particular inspection involving tall stacks, to reduce safety risks has picked up considerably in the recent past. However, there are essential plant inspections that involve detailed contact-based inspection, which cannot be achieved using drones. Such cases include close-up inspections like ultrasonic inspection for corrosion studies and inspections that require customized tools. In these scenarios, use of robotic crawlers is the superior option. Leaks or accidental release of chemicals in process plants can have severe consequences, not only for workers and neighboring populace but also for the reputation and financial stability of organizations. Thus safety risk management becomes a crucial component in any work undertaken in every industry. Ultrasonic inspections involve nondestructive testing of wall thickness of tanks and piping to assess the risk of failure. Such inspections require elaborate access arrangements to preclude the possibility of fall from height accidents. The optimal way to prevent accidents to eliminate the hazard as far as reasonably practical. When work-related specific hazards are eliminated, the probability of accidents in that work becomes zero. The paper presents two practical case studies implemented in two different industries, where safety-related risk was completely eliminated using robotics, with collateral benefits in the form of reduction in outage times and a significant 60-90% overall costs savings.


© 2023 IUP. All Rights Reserved.

Article Price : Rs.50