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Assessing the Impact of E-learning through Usage and Preference of E-resources
Aims: Any electronic device that delivers a collection of data, whether it be text referring to full text databases, electronic journals, photographs, other multimedia goods, or quantitative, visualizations, or time-based, is referred to as an electronic resource. These could be transmitted over the internet, tape, CD-ROM, tablets, smartphones, smart watches or another medium, these are now the basis of e-learning. Online searching has made it possible to get patent information more quickly, affordably, and conveniently than the traditional manual or CD-ROM based searching method. The ability to create and distribute documents in electronic form is now made possible by a number of established procedures and standards. So, in order to address the current problems, librarians are utilizing new media, particularly electronic resources, in their collection expansion makes the documentation of users better. As we can see, utilizing online resources is important in the modern world for a multitude of purposes. Because of this, it's important to understand the preferences, motives and usage of various e- resources used by students who use online learning. The aim of the present research paper was to examine the impact of e-resources using its usage and reading preferences. In this study, reasons such as time saving, more information, and busy schedule at college are considered. Methodology: Primary data was gathered from 250 students from Mumbai and Navi Mumbai who are using e-resources through the pre-structured questionnaire. The responses collected were recorded using the SPSS software for data analysis. In order to examine the link between causes, preferences, and the use of e-resources, a theoretical construct was developed grounded on a few assumptions. Statistical techniques like the chi-square test were used and data analysis was done using SPSS version 20 to examine the proposed construct. When doing the data analysis, the demographic profile, objectives, and hypothesis were all taken into consideration. Results: The average for each component that is time saving, more informative, and busy schedule at college was computed and was determined as 0.004, 0.004, and 0.000, correspondingly, for time saving, more informative content, and busy college schedule. As all of these values for all of the preferences under consideration are less than 0.05, it is clear that there is a connection between the usage of electronic resources and their underlying reasons and preferences. Conclusion: Hence, there is a substantial correlation between the reasons for using electronic resources and the different reading preferences, as well as between the two. Only three reasons namely time saving, more informative, and busy schedule at college are considered during this study. Data collection is done from Mumbai and Navi Mumbai region only. 2025 Bentham Science Publishers. -
Employee performance prediction model /
With the dominance of knowledge power in the success of an organization, competent human resource has become crucial for realization of organizational objectives. Human Resource Management, HRM is a set of tasks to maintain and develop a proficient human resource. A performance appraisal process helps the HRM in identifying the strengths and weaknesses of an employee. This evaluation of employee is based on several different parameters according to the work domain and organizational objectives. This activity of employee evaluation has a high significance in making strategic decisions of manpower planning than just salary reviews. The objective of the prediction model constructed in the study is to assist HR personnel in decision making by predicting the performance of an employee. -
Atendo: The portable attendence recorder /
Patent Number: 202241019881, Applicant: Kevin Benny.
Attendance is the fact of being present or absent at a place or an event. One of the most basic things to understand and analyse the response of an event is by recording the attendance of the event. By tracking the sessions attended by the attendees and how long the attendees stay in the event, it is possible to derive a clear picture of how engaged the event was. Attendance monitoring is very important for examining the success or failure of an event. Tracking session attendance is an easy and accurate way to gather attendee feedback and translate this information into useful data. -
Early Detection of Cyber Threats in EVCS Using Machine Learning: A Focus on Reconnaissance Attacks
There is a significant rise in electric vehicle adoption and robust and secure electric vehicle charging station infrastructure to meet this increasing demand. However, advanced technology is vulnerable to several cyber threats. Primarily starting with reconnaissance attacks, attackers gather information about the system to plan greater attacks. This can further lead to several kinds of attacks such as Denial of Service and Host Attacks where the attacker can bypass firewalls, create false traffic and disrupt service for the users. Thus, it is important to detect and prevent these attacks at an early stage. This paper presents a robust machine learning model in order to detect reconnaissance attacks. To the best of our knowledge, there have not been enough studies that focus on specific attack categories for early detection of cyber threats. The ensemble model used in the study demonstrates an impressive accuracy of 97.71% with a good balance between precision and recall. Moreover, variables related to power consumption which are harder to manipulate are used as features. This approach contributes towards more secure EVCS, fosters user trust and promotes adoption of electric vehicles at large. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
Knowing Discovery from Legal Documents Dataset using Text Mining Techniques
International Journal of Computer Applications Vol.66, No.23, pp. 32-34 ISSN No. 0975-8887 -
Ethics of Creativity in the Age of AI
The accelerated development of generative artificial intelligence has challenged the principles of creative practice and has laid down them as the established assumptions about the originality, intentions, and cultural significance of humans. This chapter critically discusses the intersection of AI- generated creativity with psychological theories of the agency of humans, social and cultural structures of meaning- making and emerging ethical issues of authorship, ownership and cultural representation. With reference to past and present studies, empirical results and technological advances, the chapter aims to point out the two- sided character of AI as the accelerant of creative possibility and the de- disturbing factor in artistic, economic and cultural ecosystems. It assesses the most notable risks, such as bias, cultural homogenization, deepfakes, labour displacement, and environmental costs, besidesacknowledging the opportunities to democratize, make it more accessible and allow human- machine collaboration. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Assessment of microsatellite instability for screening bladder cancer in high-risk population
Aims: This study aims to determine the diagnostic efficacy of microsatellite markers for screening bladder cancer in population at high risk. Materials and Methods: A population of 200 people was screened for bladder cancer using a set of microsatellite markers. Urine samples were obtained from four different types of population groups - Group 1 (healthy population group), Group 2 (current smokers with a smoking history of more than 10 years), Group 3 (bladder cancer group), and Group 4 (bladder cancer group who were former smokers with a history of more than 10 years). Polymerase chain reaction (PCR) was performed to amplify microsatellite sequences at D9S63, D9S156, and D9S283. PCR products were separated on 1.8% agarose gel and were scanned using ultraviolet transilluminator. Results: In Group 2 (high-risk population group, mainly current smokers with a history of more than 10 years), microsatellite alterations were found in 36 out of 50 people. We observed microsatellite alterations in 38 out of 50 people in Group 3 (bladder cancer group) and in 39 out of 50 people in Group 4 (bladder cancer group, mainly former smokers with a history of more than 10 years). The sensitivity of this test in Group 2, Group 3, and Group 4 was found to be 72%, 76% and 78%, respectively. The specificity of this test in each group was found to be 90%. Conclusion: Using these set of microsatellite markers, medium sensitivity and high specificity were reported for this test. The current findings suggest that a set of microsatellite markers (D9S63, D9S156, and D9S283) can be used to detect bladder cancer in high-risk population. 2018 Medknow Publications. All Rights Reserved. -
Bombay High Court (re)assures that copyright registration is not required to remedy infringement
Sanjay Soya Private Limited v. Narayani Trading Company, Interim Application (L) No. 5011 of 2020 and Commercial IP Suit No. 2 of 2021, High Court of Bombay, Maharashtra, judgment of 9 March 2021, by Mr. Justice G.S. Patel The Bombay High Court, in the case of Sanjay Soya Private Limited v. Narayani Trading Company, held that copyright registration is not a prerequisite to claiming relief in copyright infringement cases. The judgment clarifies the dubiety created previously by a contrary judicial opinion and aligns the Indian position with international copyright principles. 2021 The Author(s) 2021. Published by Oxford University Press. All rights reserved. -
An empirical analysis of ICT tools with gamification for the Indian school education system
Information and communication technologies (ICTs) are used as a part of different fields, for example, training, business, and healthcare. The main objective of this paper is to introduce ICT as a better method to teach and test student's performance so it can become a part of the school curriculum and enhance learner's experience. To accomplish this objective, multiple kinds of literature were studied to get insights into the factors associated with ICT and gamification. Based on the findings, a survey was conducted on teachers to know the favourability of ICT in modern schools. Based on the response, two application prototypes are developed for students to get their performance and results that support the study. Most importantly, similar concepts were taught to students using both, traditional and ICT based approaches. A test was conducted via both methods. It was discovered that the performance of the students increased by 13% when the modern approach was followed to conduct the test. Copyright 2021 Inderscience Enterprises Ltd. -
Chitosan stabilized platinum nanoparticles: Synthesis, characterization and cytotoxic impacts on human breast cancer cells
Platinum nanoparticles are widely studied as a nanomedicine against many of the solid tumours. Due to their promising physicochemical properties, chitosan-stabilized platinum nanoparticles may exhibit exceptional cytotoxic effects on cancer cells. This article describes the synthesis and characterization of chitosan-stabilized platinum nanoparticles (Ch-Pt NPs) through a wet chemical method and in vitro studies of their anticancer effect on human breast cancer cells (MCF-7 cell line). Different analytical methods confirmed the formation of chitosan-stabilized platinum nanoparticles. The structural and surface morphological analyses were done using XRD, FTIR, TEM, FESEM, etc. Elemental analysis was done using XPS and EDX. The hydrodynamic diameter and zeta potential were determined using DLS and zeta analyzer. These platinum nanoparticles have a spherical shape and FCC structure with an average particle size of 3.4 nm and an average hydrodynamic diameter of 248 nm. The characteristic FTIR peaks of chitosan in the sample confirmed the capping of chitosan on the surface of the Pt NPs. The surface charge estimation using a zeta potential analyzer showed ?23.8 mV, elucidating the stability and dispersity of the as-synthesized Pt NPs. The in vitro cytotoxicity study using MTT assay revealed a non-toxic behaviour on normal L929 cell lines and a severe anti-proliferative activity on a human breast cancer (MCF-7) cell line with an IC50 value of 35.60 ?g/ml after 24 h of incubation. This result indicates a better anticancer therapeutic application against human breast cancer cells for the as-synthesized chitosan-stabilized platinum nanoparticles. 2024 Elsevier B.V. -
Network Security Tools and Applications in Research Perspective
The modern world technology is civilized, globalized and modernized. The technological development of social networks and e-commerce applications produce larger data. This data communication is major task, because device to device communication need network terminal. This data transmission is not safe because of different types of tools and software available to destroy the existing network. In the field of network security during data transfer from one particular node to other node some security vulnerability is happened this is the one of the critical issue in this sector. The reason for this network security is different types of data attacks are happen in day to day life. It is easy to establish a new network but protecting the entire network is a big issue. This network security is generally two parameter first one is communication and second one is data automation. The network security field is directly or indirectly linked with the concept of data encryption. The development in this network security has taken us to a level that from signature again we came back to thumb print. For example maintain the data secure we use the lock system which is a finger print type. This technology helps us to protect the physical data theft, but logical data theft is still problem for data transmission. This article will brief about the network security it also presents the various network security types. Those types are wired and wireless network security. Apart from the network security the following topics is also discussed in this article. Those are network security protocols and simulation tools in network security. The research problems in network security are privacy and vulnerability of data. 2019 IEEE. -
Differential query execution on privacy preserving data distributed over hybrid cloud
Hybrid cloud is proposed as a solution for ensuring security and privacy for data outsourced to cloud. Hybrid cloud uses a mix of both private and public cloud with distribution of sensitive information to private cloud and insensitive information to public cloud. Though data distributed over multi storage provides enhanced security and privacy, query performance is distorted. This work proposes a privacy preserving data distribution with goal of ensuring reduced query latency for data distributed over hybrid clouds without any compromise to the security and privacy. The proposed solution also provides different queries results for the query depending on the access control provided to the users. 2022 Scrivener Publishing LLC. -
An ettective dynamic scheduler tor reconfigurable high speed computing system
High Speed Computing is a promising technology that meets ever increasing real-time computational demands through leveraging of flexibility and parallelism. This paper introduces a reconfigurable fabric named Reconfigurable High Speed Computing System (RHSCS) and offers high degree of flexibility and parallelism. RHSCS contains Field Programmable Gate Array (FPGA) as a Processing Element (PE). Thus, RHSCS made to share the FPGA resources among the tasks within single application. In this paper an efficient dynamic scheduler is proposed to get full advantage of hardware utilization and also to speed up the application execution. The addressed scheduler distributes the tasks of an application to the resources of RHSCS platform based on the cost function called Minimum Laxity First (MLF). Finally, comparative study has been made for designed scheduling technique with the existing techniques. The proposed platform RHSCS and scheduler with Minimum Laxity First (MLF) as cost function, enhances the speed of an application up to 80.30%. 2014 IEEE. -
Dynamic task distribution model for on-chip reconfigurable high speed computing system
Modern embedded systems are being modeled as Reconfigurable High Speed Computing System (RHSCS) where Reconfigurable Hardware, that is, Field Programmable Gate Array (FPGA), and softcore processors configured on FPGA act as computing elements. As system complexity increases, efficient task distribution methodologies are essential to obtain high performance. A dynamic task distribution methodology based on Minimum Laxity First (MLF) policy (DTD-MLF) distributes the tasks of an application dynamically onto RHSCS and utilizes available RHSCS resources effectively. The DTD-MLF methodology takes the advantage of runtime design parameters of an application represented as DAG and considers the attributes of tasks in DAG and computing resources to distribute the tasks of an application onto RHSCS. In this paper, we have described the DTD-MLF model and verified its effectiveness by distributing some of real life benchmark applications onto RHSCS configured on Virtex-5 FPGA device. Some benchmark applications are represented as DAG and are distributed to the resources of RHSCS based on DTD-MLF model. The performance of the MLF based dynamic task distribution methodology is compared with static task distribution methodology. The comparison shows that the dynamic task distribution model with MLF criteria outperforms the static task distribution techniques in terms of schedule length and effective utilization of available RHSCS resources. 2015 Mahendra Vucha and Arvind Rajawat. -
An Alternative Deep Learning Approach for Early Diagnosis of Malaria
Considering the malaria disease-related moralities prevailing mainly in underdeveloped countries, early detection and treatment of malaria must be an essential strategy for lowering morbidity and fatality rates. Detection of Malaria using traditional investigation methods through blood samples and expert judgments was found to be time-consuming. In this paper, the authors introduced a Machine Learning automated system to eliminate the need for human intervention, which in turn enables early detection of malaria. The study has used various Deep Learning techniques such as traditional Convolutional Neural Network (CNN), VGG19, ConvNeXtXLarge, ConvNeXtBase, ConvNeXtSmall, ConvNeXtTiny, InceptionResnetv2, Xception, DenseNet169, EfficientNetB7, MobileNet, ResNet50, and NasNetLarge as base models. These models have been trained and tested with microscopic blood smear images dataset and observed that ConvNeXtXLarge detects malarial parasites with an accuracy of 96%. The proposed method outperforms the existing approaches in terms of both accuracy and speed. The findings of this work can contribute to the development of more accurate and efficient automated systems for early detection of Malaria. 2024 IEEE. -
Graphs Emerging from Finite Dimensional Vector Spaces
A vector space over a field is defined as a collection closed under finite vector addition and scalar multiplication. Over the course of time, researchers have delved into exploring the intricate relationships between existing algebraic structures and graphs. This exploration led to the emergence of a distinctive class of graphs derived from vector spaces, following investigations into graphs originating from groups and rings. This thesis undertakes a thorough examination of a well-established algebraic structure known as the non-zero component graph of a finite-dimensional vector space over finite fields. Expanding on this, the thesis introduces the concept of orthogonal component graphs over finitedimensional vector spaces with a particular emphasis on the field Zp. The non-zero component graph of a finite-dimensional vector space over a newlinefinite field is a graph where vertices represent all possible non-zero vectors in newlinethe vector space. Vertices in the graph are made adjacent if they share a common basis vector in their linear combination. The thesis explores a variety of properties relating to distances, domination, and connectivity. Furthermore, it conducts in-depth study of coloring, color connections, topological indices, and centrality-based sensitivity specifically for non-zero component graphs. The concept of orthogonality among vectors in the vector space paves the way for a novel algebraic graph structure the orthogonal component graph. In this graph, vertices represent all possible non-zero vectors in the vector space, and adjacent vertices correspond to orthogonal vectors. The study extends to determining the properties of the orthogonal component graph, particularly in the newlinecontext of the field Z p. Additionally, it characterises the relationship between newlinenon-zero component graphs and orthogonal component graphs. In the latter chapters, the concept of non-zero component signed graphs is introduced and thoroughly discussed. -
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Effect of Computer Learning on performance in early Architecture Education
A mixed cohort of students with different experience backgrounds join the architecture degree. While some are well familiar with the user interface of computer and 3-D digital tools, others are not. The effect of such prior knowledge and their corresponding digital and analog performance in a designed experiment was evaluated with a sample of 38 first-year students. This was done to understand the performance effects of previous computer learning in students. Computer learning of the sample was studied in terms of years of computer exposure, the number of software known, and knowledge of 3D software or SketchUp. The results suggest that none of the factors contributed to the digital performance of students. This provided suggestions regarding the computer teaching emphasis which should be placed on students having less computer learning. 2022, Rajarambapu Institute Of Technology. All rights reserved. -
Design Cognition while using digital tools: A Distributed Cognition Approach
The use of digital tools in the conventional architecture design thinking process which derives its basis from sketching is followed in many colleges in India. Various shortcomings due to the integration of digital tools to the manual design process have been enumerated during the past 30 years. Digital tools provide affordances different from the manual sketching design process, the effects of which can be understood by adopting a distributed cognition approach. The paper builds on design cognition research while using externalization tools in the design process. It does so by developing a theoretical framework derived from distributed cognition and an understanding of visual thinking processes from design literature. The paper utilizes the distributed cognition framework by Zhang and Norman, to arrive at resultant affordances of externalization tools in design. The same is then utilized for a protocol study which was coded for its visual thinking components and other relevant codes. The same protocol study was also coded for ideation flow analysis. The findings pointed towards compromised visual thinking and reduced ideation while utilizing digital tools in quick conceptualization. 2021 ACM. -
Learning From Global Cultures for a Sustainable Tomorrow With the Help of Immersive Tech in Education
With rising global and domestic environmental and social challenges, integrating traditional cultural knowledge with immersive education technologies offers a path to sustainability. This chapter explores how Indigenous and local knowledge systems can merge with Virtual Reality (VR), Augmented Reality (AR), and Artificial Intelligence (AI) to foster deeper understanding and promote sustainable behaviors. It highlights traditional ecological practices in agriculture, water use, marine management, and architecture as models of sustainable living, emphasizing the ethical role of Indigenous education. The chapter also examines how immersive technologies enhance experiential learning, gamification, and cultural knowledge sharing, while aligning with the Sustainable Development Goals (SDGs). It envisions a future where educational systems use immersive tools to cultivate environmentally responsible, empathetic, and globally conscious citizens. 2026 by IGI Global Scientific Publishing. All rights reserved.