Volume 14 | Issue 3 |

 Abstract

Intrusion detection systems are very useful in protecting the contemporary networks against all types of cyber attacks which are becoming more complex and dynamic. This paper provides the development of a dynamic intrusion detection system that combines swarm intelligence-based optimization with the latest machine learning and deep learning architectures to allow real-time dynamic thresholds and efficient attack response. A powerful preprocessing pipeline was created, and it includes feature encoding, YeoJohnson transformation, mutual informationbased feature selection and a hybrid approach to class imbalance dealing with SMOTE and ADASYN. Differentiation Evolution was utilized to optimize the important hyper parameters so that global search is made to be efficient and better model generalization is given in case of imbalance. Classical machine learning as well as deep learning models were assessed using the macro-averaged performance measures so as to have a fair evaluation across the traffic classes. The results of experiments show that ensemble and distance-based machine learning models obtained almost perfect detection performance. The 1D Convolutional Neural Network has shown superiority over temporal models, making it a good choice of deep learning techniques, with accuracy of 99.98 percent, precision of 99.99, recall of 99.98 and F1 -score of 99.98. The results prove that swarm intelligence augmented with optimized learning architectures has been able to offer a scalable, robust, and highly accurate means of detecting network intrusions in real-time in the dynamic cybersecurity challenges.

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 Keywords

Intrusion Detection System, Swarm Intelligence, Differential Evolution, Adaptive Thresholds, Feature Selection and Network Security

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Non-commutative quantum mechanics (NCQM) arises naturally in various frameworks related to quantum gravity, string theory, and deformation quantization, where the coordinates of space-time no longer commute at the Planck scale. This research offers a thorough examination of the fundamental Lie algebraic structures and symmetries that define non-commutative quantum phase spaces. We develop the modified Heisenberg-Weyl algebra on non-commutative manifolds and analyze its deformation using star-product formalism and operator techniques. The study investigates how non-commutativity alters classical symmetries, including rotational invariance and gauge transformations, as well as how representations of Lie algebras adjust in response to these deformations. Additionally, we explore the connection between non-commutative parameters and Lie algebra cohomology, demonstrating that specific algebraic deformations relate to central extensions of the conventional Heisenberg algebra. This analysis yields fresh perspectives on the relationship between algebraic structures, geometric symmetries, and physical observables within the quantum domain.

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Non commutative Geometry; Lie Algebra; Quantum Phase Space; Symmetry; Deformation Quantization; Star Product; Heisenberg-Weyl Algebra.

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The Energy Management System is developed to monitor and optimize power consumption and generation in an industrial setup. The system allows users to input multiple consumption parameters along with renewable energy sources such as solar and wind, and automatically calculates total consumption, generation, and energy balance. It also includes electricity cost estimation using slab-based tariff calculation and demand charge analysis based on sanctioned and maximum demand. Additionally, the system stores historical data for future reference, enabling efficient energy tracking and decision-making. This project helps in improving energy efficiency, reducing costs, and providing a practical solution for real-world energy management.

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Energy Management System, Power Consumption, Energy Generation, Demand Charges, Renewable Energy, Cost Calculation, Industrial Energy Monitoring, Data Analysis

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The rising use of digital devices had created many challenges in marital relationships due to phubbing. The present study was carried out to examine the relationship and predictive effects of phubbing and emotional availability on marital satisfaction among married couples in Kerala. Using a quantitative correlational research design, sample of 160 married couples aged 25-40 years from Thrissur district, were selected using purposive sampling. Standardized questionnaires were used to assess phubbing, emotional availability, and marital satisfaction. After analyzing the data using Pearson correlation and multiple regression analysis, results revealed that phubbing showed a weak but significant negative relationship with marital satisfaction, while emotional availability showed a strong positive relationship with marital satisfaction. Regression analysis indicated that phubbing negatively predicted marital satisfaction, whereas emotional availability was a strong positive predictor, jointly explaining 71.8% of the variance. In conclusion, Emotional availability significantly enhances marital satisfaction, while phubbing adversely affects marital quality. Promoting emotional communication and reducing digital distractions may improve marital well-being.

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Phubbing, Emotional Availability, Marital Satisfaction, Married Couples

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Total quality management (TQM), a management philosophy developed for industrial purposes, is now attracting increasing attention in the field of education. In recent years total quality management (TQM) has emerged as a viable solution to achieve the goal of quality. Although business organizations have applied TQM principles with considerable success, its use in teacher training institutes is largely limited and has received little attention. The indomitable spirit of higher education paves the way for the growth of a nation in the several dimensions. Teacher education is one of the areas in higher education which trains student-teachers in pedagogy, which in turn helps them to train the young minds of educational institutions. Teacher education institutions should maintain quality to ensure the academic excellence of trainees who come into the teaching profession. Quality assurance in teacher education reflects on the high profile of the institution and the competency of student-teachers. The present article focuses on the need concept and thrust areas of TQM in teacher education in India. It has exposed the perception of teachers on quality indicators, such as teacher quality, linkage and interface, students, co-curricular activities, innovative strategies in teaching learning practices, pedagogy, curriculum development, value inculcation, Teacher Education Institutions and Schools linkages, use of information and communicative technology and governance. The present paper wants to highlight the TQM (Total quality management), TQM (Total quality management) in Teacher Education.

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Total quality management, Teacher Education, TQM in Teacher Education.

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Excessive vehicle speed has emerged as a significant contributor to accidents, resulting in the loss of numerous lives. In response to this pressing issue, we have developed a novel system to address the problem. The primary objective of this project is to offer a user-friendly and dependable solution for speed detection in vehicles utilizing IR sensors. The system not only calculates the vehicle speed but also presents it on an LCD (Liquid Crystal Display). Moreover, a built-in alert mechanism, incorporating a buzzer, is activated when the system identifies instances of over-speeding. This comprehensive approach aims to enhance road safety by providing real-time speed information to drivers and issuing immediate warnings in cases of potential over-speeding incidents.

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 Keywords

Power supply, Arduino UNO, IR sensors, LCD, Buzzer, ESP32 camera.

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The increasing demand for natural skincare products has led to the development of a herbal antioxidant lotion incorporating Moringa oleifera (moringa) leaf extracts. The native tree Moringa oleifera Lam. (Marantaceae) is widely used as an antioxidant, anti-inflammatory, detoxifying and nutrient. Apart from its therapeutic qualities, it has a potential function in cleansing and hydrating the skin. Body lotion is a cosmetic product used to keep hands and body moisturised. Numerous free radical inhibitor compounds and a number of additional naturally occurring metabolites with high antioxidant activity can be found in moringa leaves (Moringa Oleifera Lam). different formulations of the lotion were developed using different concentrations of the extracts and evaluated for key physicochemical parameters, including pH, viscosity, spread ability, and texture. The optimized formulation exhibited a pH range of 5.8-6.5, smooth texture, and ideal viscosity for easy application. Stability testing over 30 days under various temperature conditions. In study's findings and product testing, moringa leaves extract is essential for boosting skin elasticity, decreasing dryness, and improving skin texture

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Moringa leaves extract, Antioxidant activity, Nourishment, Body lotion.

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 Abstract

Nyay Darshane Jati Padarth?????? ?????? ??????????????? ???????? ???????? ???????? ?????????, ??????? ??????????? ??????????????? ????????????? ?? ????????? ????????????, ?????? ???????????? ??????????? ???????????? ??????????? ????????? ? ?????, ????? ??????????? ??????????????? ??????? ????????????? ??????????????????????? ??????, ??? ??????????? ??????????? ?????????????????? ????? ??????????, ???? ?????? ?????????????????? ??????????????? ? '?????????????' ??? ??????, ???????? ??????????? ??? ?????????????????????, ???? ??????????????????????????? ?????????????????????????? ??????? ??????????? ?????????????????? ????????????? ? ?? ??????????? ??? ?? ??????????? ????????????????????????????? ??????????????????? ?? ?? ??????????? , ??? ???????????????????????????????? ??????????? ???????????? ?????????????????? ?????? ? ?????? ???????

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Nyay Darshane Jati Padarth

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Embroidery, as a textile tradition, transcends mere ornamentation--it embod- ies history, identity, and human expression. This paper presents a comparative exploration of Kashida embroidery from the Kashmir Valley of India and Per- sian embroidery from Iran, investigating how these two intricate traditions reflect the ethos of their respective cultures. Through an interdisciplinary method- ology involving visual analysis, historical context, and artisan narratives, the research reveals how motifs, materials, and stitching techniques are shaped by geography, religion, gender roles, and socio-political influences. The study finds that while both traditions share Indo-Persian artistic heritage, they have evolved uniquely--Kashida emphasizing nature and regional simplicity, and Per- sian embroidery reflecting structured opulence and spiritual symbolism. This research underscores the living legacy of embroidery and its potential in con- temporary cultural preservation and economic empowerment. Embroidery, as a textile tradition, transcends mere ornamentation--it embodies history, identity, and human expression. This paper presents a comparative exploration of Kashida embroidery from the Kashmir Valley of India and Persian embroidery from Iran, investigating how these two intricate traditions reflect the ethos of their respec- tive cultures. Through an interdisciplinary methodology involving visual analysis, historical context, and artisan narratives, the research reveals how motifs, mate- rials, and stitching techniques are shaped by geography, religion, gender roles, and socio-political influences. The study finds that while both traditions share Indo-Persian artistic heritage, they have evolved uniquely--Kashida emphasiz- ing nature and regional simplicity, and Persian embroidery reflecting structured opulence and spiritual symbolism. This research underscores the living legacy of embroidery and its potential in contemporary cultural preservation and economic empowerment. .

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 Keywords

Embroidery, Traditional, Cultural, Kashida

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 Abstract

Early and effective identification of retinal pathologies plays a very crucial role in the prevention of irreversible vision loss and facilitating the process of large-scale retinal screenings. This study focuses on the implementation of an explainable and Vision Transformer-based multi-class retinal disease classifiers using color fundus photographs, focusing on the proposed work around the Swin Transformer-Base architecture. A selectively compiled dataset of 4,217 retinal fundus photographs was assembled by combining various publicly accessible sources, followed by the classification of the compiled set into four retinal disease classes: Normal, Diabetic Retinopathy (DR), Age-related Macular Degeneration (AMD), and Branch Retinal Vein Occlusion (BRVO) diseased retinas. The previously mentioned Swin Transformer-Base network, pretrained on large-scale image datasets, was further adapted by the use of transfer learning to achieve more accurate results through standardized preprocessing and optimizing settings during the training process to avoid any potential bias in the derived results. From the experimental analysis, the proposed work showcases the potential of the proposed Swin Transformer-Base architecture in successfully maximizing the classification accuracy to 99.54%, and to further provide more robustness and explainability to the proposed results, the implementation of Gradient-weighted Class Activation Mapping (Grad-CAM) visualization techniques has been accomplished, focusing on the identification of critical retinal areas in retinal pathologies, thereby facilitating more enhanced clinical usability. Furthermore, to provide more utility value to the proposed clinical approach, a lightweight and easy-to-use diagnostic tool has been provided to upload the images in real time and to access the results in a more facile graphical format.

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 Keywords

Retinal disease classification, Vision Transformer, Fundus imaging, Computer-aided diagnosis, Explainable AI, Telemedicine.

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