Notice Board :

Call for Paper
Vol. 7 Issue 5

Submission Start Date:
May 01, 2026

Acceptence Notification Start:
May 10, 2026

Submission End:
May 25, 2026

Final MenuScript Due:
May 31, 2026

Publication Date:
May 31, 2026
                         Notice Board: Call for PaperVol. 7 Issue 5      Submission Start Date: May 01, 2026      Acceptence Notification Start: May 10, 2026      Submission End: May 25, 2026      Final MenuScript Due: May 31, 2026      Publication Date: May 31, 2026




Volume VII Issue V

Author Name
Radharaman Jee, Durgesh Vishwakarma
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 5
Abstract
In this paper a dual active bridge LLC resonant converter is proposed with variable input voltage sources and applied for battery charging of electric vehicle. As there is increase in demand for electric vehicles in present day and may increase more in near future better possible charging circuit needs to be developed. The constant DC voltage output is used to charge the battery of an electric vehicle which has very high capacity. The input can be hybrid which can also charge from electrical utility grid. The PWM technique used in the converter is fixed frequency PWM scheme which generates higher voltages for even low voltage inputs. The complete operation and control of the proposed topology is explained in detail with graphical representation of the model and characteristics of the module. The complete model is developed in MATLAB Simulink environment with graphs plotted with respect to time.
PaperID
2026/IJEASM/5/2026/3381

Author Name
Adeeba Parveen, Anand Kumar Mishra
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 5
Abstract
With data growing over the internet, it is all becoming difficult to extract useful information. Conventional Information Retrieval (IR) systems do word-matching and statistical models, but fail to capture the intent, context and personalisation in the user's query. This thesis proposes an integrated human-centred framework comprising hybrid – computational intelligence models contributions of machine learning, fuzzy logic and evolutionary algorithms to discover large-scale knowledge. We thus aim to use deep learning neural models with traditional IR (instead of only fully automated IR) and the final layer which uses a softmax multi-class classification directly takes in the neural output probabilities matching to the baseline query-document pairs. These hyper parameters will be trained on user logs resulting in improved precision, recall and satisfaction. The architecture consists of the preprocessing, feature extraction, and hybrid models stages as well as the learning component wh
PaperID
2026/IJEASM/5/2026/3382

Author Name
Adeeba Parveen, Anand Kumar Mishra
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 5
Abstract
For businesses attempting to achieve a sustainable balance between productivity and environmental sustainability, green supply chain management (GSCM) is a crucial component. Ensuring supply chains remain transparent, trackable and trustworthy, poses a challenge when you consider the globalized and complex nature of supply chain systems. Blockchain technology (a decentralized, immutable method of storing and managing data) is emerging as a potential solution to assist in some of these issues. As a result, the majority of traditional proof of work blockchains exhibit significant levels of energy usage, thus making them ill-suited for use in sustainable environments. To address this issue, the current research presents a novel energy efficient blockchain framework that can aid with enhancing integrity along the green supply chain. To achieve this, the new framework uses a permissioned blockchain architecture incorporating multiple consensus algorithms (e.g., proof of stake, delegated pr
PaperID
2026/IJEASM/5/2026/3383

Author Name
Amarjeet Kaur
Year Of Publication
2026
Volume and Issue
Volume 7 Issue 5
Abstract
Education Library and Information science (LIS) is experiencing an immense transformation as the technology is evolving rapidly, the information requirements are evolving and the role of library in the digital age is also evolving. The current paper analyses the current trend in LIS education and their impact on the curriculum development, pedagogy, and professional competency. As the world becomes more and more digital, surrounded by the advent of artificial intelligence, data analytics, and knowledge management systems, the education of LIS is not viewed through the traditional library-centric lens but is becoming more interdisciplinary and technology enabled. The research paper identifies the place of higher education in integrating new sections of the LIS curriculum like digital librarianship, information architecture, data curation, cybersecurity and artificial intelligence applications into the LIS curriculum to address the new job requirements. The other theme of the research i
PaperID
2026/IJEASM/5/2026/3384