| Paper ID |
IJIFR/V12/E10/016
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| Author |
Anuradha K.Shrimawale
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| Paper Title |
An Analytical Review on GAN-based Image Dehazing models for Real world Hazy images
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| Subject Category |
Image dehazing
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| Abstract |
The revolution in computer vision techniques a Deep learning has played important role. Among all challenges faced in this field, image dehazing remains a tricky problem. Haze can be caused by adverse or foggy weather conditions, unsuitable lighting and pollution. The problem increases in intensity especially in extreme conditions. Deep learning-based approach was developed to solve problems. But learning-based methods still face some problems. They are poor at taking out haze from outdoor images with variable training data due to insufficient to use a variety of training data. This paper presents a series of dehazing techniques, and explores in particular the GAN-based approach. These GAN-based approaches have been introduced to resolve the issues facing by image dehazing. GANs use a distribution of haze free images for removal of haze from degraded one and improve computer vision performance in hazy situations.GAN-based image dehazing is widely accepted as the best method for real time dehazing. The present paper qualitatively analyzes different approaches and discusses their strengths and weaknesses. In addition, this review discusses the mainstream benchmarks, existing challenges, performance metrics and future potential in image dehazing research.
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| Keyword |
Image Dehazing, Atmospheric scattering model (ASM), Generative Adversarial Network (GAN), Losses, Evaluation metrics.
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| Paper ID |
IJIFR/V12/E10/015
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| Author |
Tripti Batra, Anubhav Singla, Avinash K Chawla
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| Paper Title |
Commensal organisms: Unusualplace reservoirs of antibiotic resistance; A review study
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| Subject Category |
Pharmacy
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| Abstract |
Antibiotic resistance has been defined as one of the finest worldwide threats of the twenty first century. 1 Although it
turned into diagnosed quickly after antibiotics had been first introduced, the effect turned into mitigated to begin with
with the aid of using the improvement and use of more recent agents. However, only a few new instructions of
antibiotics had been advanced for the reason that past due 1960s, and improvement has stalled in latest years. For a few
organisms, mainly Gram terrible micro organism consisting of Acinetobacter baumannii, Pseudomonas aeruginosa and
a few Enterobacteriaceae (e.g. Escherichia coli and Klebsiella spp.), there are more and more more extraordinarily
confined healing options. 2 Antibiotics have had a profound fantastic effect at the control of infectious diseases (e.g.
network obtained pneumonia because of Streptococcus pneumoniae), however they've additionally end up an critical
thing of all factors of contemporary-day healthcare. No boost in clinical or surgical exercise could stay a hit if sufferers
growing infections couldn't be dealt with reliably.3 Developments in chemotherapy for malignancy and organ
transplantation make sufferers greater prone to contamination, because of immunosuppression. These clinical advances
could be much less significant if a affected person survived the preliminary therapy, best to succumb to contamination
later. Potentially, if antibiotic resistance have become greater large and contamination have become greater hard to
treat, sufferers might, as simply one example, select to stay with their disabilities as opposed to go through joint
substitute surgery.
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| Keyword |
Antibiotics, resistance, bacterial infections
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| Paper ID |
IJIFR/V12/E10/014
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| Author |
.B. Singh, Preeti Shrikant
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| Paper Title |
Conducting Polymers test for to the prospect of both new scientific ideas and new technologies
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| Subject Category |
Polymer Engineering
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| Abstract |
There are several synthesis methods for polyacetylene: catalytic polymerization, non-catalytic polymerization, catalytic
polymerization of other polymers, and precursor-assisted synthesis. In the case of the catalytic polymerization technique,
catalysts like Ziegler–Natta catalysts or Luttinger catalysts are used for the synthesis. The polymerization of acetylene
produces polyacetylene polymer and oligomers like cyclooctatetraene and vinyl acetylene. There are a lot of catalysts available
for the synthesis of polyacetylene and among them Zeigler–Natta catalysts have high solubility in organic solvents and high
selectivity. Being a combination of both Ti(0-n-C4H9)4 and (C2H5)3A1, they produce highly crystalline free-standing ?lms of
polyacetylene on the wall of the reaction ask on which the catalyst is coated. Conducting polymers are those polymers that conduct electricity due to delocalization of P electrons. These substances could
be semiconductors or have metallic conductivity [1]- [2]. Organic components make up conducting polymers and insulating
polymers. While they do not exhibit mechanical qualities equivalent to other widely available polymers, they can offer great
electrical conductivity. Advanced dispersion techniques and chemical synthesis processes can be used to fine-tune the
electrical characteristics. Since their characteristics differ greatly from those of their bulk counterpart, conducting polymers
synthesized as nanostructures are of considerable interest. Numerous scientists have been searching for uses for the recently
found conducting polymers since their discovery in the late 1970s, such as thin film transistors [3], polymer light emitting
diodes (LEDs) [4], corrosion resistance [5], electromagnetic shielding [6], sensor technology [7], molecular electronics [8],
supercapacitors [9], and electrochromic devices [10]. It is feasible to create multifunctional molecular structures that provide
opportunities for practically any desired application by carefully selecting the component combination
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| Keyword |
polyacetylene, Organic Components, Processability
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| Paper ID |
IJIFR/V12/E10/013
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| Author |
T. S. JOSEPH, Dr. T. Darshankumar, Sudha S S
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| Paper Title |
Developing effective monitoring and alerting systems for reducing the impact of seismic activities.
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| Subject Category |
Electronics and Telecommunication Engineering
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| Abstract |
Despite the advancement of earthquake monitoring and alerting systems globally, existing technologies face significant
limitations in providing timely and accurate warnings. These systems suffer from insufficient sensor coverage,
particularly in remote or oceanic regions, and often provide only short warning times (seconds to minutes) for areas
near the epicenter. Additionally, challenges such as communication failures, false alarms, limited public awareness, and
high implementation costs hinder their effectiveness, particularly in low-income and developing regions. As a result,
vulnerable populations remain at risk, and the impact of earthquakes on human lives and infrastructure remains
devastating. There is a need for improved earthquake detection, more accurate early warnings, and enhanced global
cooperation to mitigate these limitations and ensure the safety and preparedness of affected communities. By integrating machine learning algorithms and geospatial data, modern
earthquake monitoring systems can identify patterns, predict potential hazards, and issue timely alerts. This
abstract discusses the core components of earthquake monitoring systems, their functionality, and the
importance of rapid communication during seismic events.
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| Keyword |
Arduino UNO, IOT
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| Paper ID |
IJIFR/V12/E10/012
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| Author |
A S SHOBNA, M L SENTHIL, KS KARUNAKUMARAM
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| Paper Title |
3-roller pyramidal configuration bending analysis
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| Subject Category |
mechanical engineering
|
| Abstract |
3-roller pyramidal configuration bending machine is widely used in heavy engineering applications for the
manufacturing of cylindrical tanks, bending of spring, shell of boiler and heat exchangers, turbines, pressure vessel,
towers, reactors, etc. Top roller load required to bend the sheet is the function of various parameters such as, thickness
of plate, width, diameter of the shell to be rolled, properties of plate material and gap between the bottom rollers etc.
Machine capacity has limitation by size and shape of motor of 3-roll bending machine motor.The development and optimization of these processes are time consuming and costly. Therefore,
finite element simulations may aid the design and quality assurance of sheet metal products. In the present
study, a commercial finite element package was used to analyze the three-roller bending of a steel sheet.
Now, the problem is we cannot predict Maximum displacement of top roller without endangering crack
formation in plate so that we need to investigate effect of top roller position on maximum stress and
residual stresses in the formed sheet and also find Maximum displacement of top roller allowed without
endangering crack formation in plate. Here our objective is to design three roll pyramidal bending machine
for given sheet thickness range.
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| Keyword |
3D Roller, Bending Analysis, Shaft Design, Bending Machine
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| Paper ID |
IJIFR/V12/E10/011
|
| Author |
S. Jessy
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| Paper Title |
THE ROLE OF LIFE SKILLS EDUCATION IN ENHANCING SELF-EFFICACY AMONG WOMEN PROSPECTIVE TEACHERS
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| Subject Category |
Education
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| Abstract |
This study examines the effect of a systematic life skills education program—communication strategies—on building self-efficacy among women prospective teachers. Based on Bandura's Social Cognitive Theory, the study utilized a single-group pre-test and post-test design with 100 female student-teachers from Alagappa University College of Education, Sivagangai District. The intervention comprised eight sessions in four weeks on verbal and non-verbal communication, assertiveness, public speaking, and active listening. The General Self-Efficacy Scale was used to assess data. The results showed a significant increase in the self-efficacy scores following the intervention (t = 15.78, p < 0.001), supporting the empowering effect of communication-based life skills education among female teacher trainees. The research concludes that the incorporation of life skills training into teacher training programs is critical towards enhancing professional confidence, particularly for women in rural and semi-urban settings.
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| Keyword |
Life Skills Education, Self-Efficacy, Women Prospective Teachers.
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|
| Paper ID |
IJIFR/V12/E10/010
|
| Author |
Dr. A. Rube Jesintha
|
| Paper Title |
YOGIC PRACTICES FOR MENTAL HEALTH
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| Subject Category |
Physical Education
|
| Abstract |
Yogic practices, rooted in ancient Indian traditions, have emerged as effective complementary approaches for enhancing mental well-being. Combining physical postures (asanas), breath control (pranayama), meditation (dhyana), and ethical living (yamas and niyamas), yoga offers a holistic intervention for managing a wide range of mental health challenges. In recent decades, empirical studies have validated the therapeutic benefits of yoga for conditions such as anxiety, depression, post-traumatic stress disorder (PTSD), and stress-related disorders. This paper presents an integrated overview of the role of yoga in mental health, discusses its physiological and psychological mechanisms of action, and explores its practical applications in clinical and community settings. Further, the paper highlights cultural considerations, implementation challenges, and directions for future research.
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| Keyword |
Yoga, mental health, pranayama, meditation, mind-body therapy, anxiety, depression, psychological resilience
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|
| Paper ID |
IJIFR/V12/E10/009
|
| Author |
Dr.C.Anbuchelvan
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| Paper Title |
Personality Traits: An Overview
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| Subject Category |
Education
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| Abstract |
Personality traits are enduring patterns of thoughts, emotions, and behaviors that distinguish individuals and contribute to their psychological uniqueness. The Five-Factor Model (FFM)—comprising Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness—has emerged as a dominant framework in personality psychology. This thematic paper explores key themes in personality trait research, including the biological underpinnings of traits, their developmental stability and change, cultural variations, and implications for mental health, education, and interpersonal relationships. By examining these dimensions, the paper underscores the multidimensional and dynamic nature of personality and highlights the theoretical and practical significance of trait-based approaches in understanding human behavior.
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| Keyword |
Personality traits, Big Five, Five-Factor Model, individual differences, trait theory, developmental psychology
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|
| Paper ID |
IJIFR/V12/E10/008
|
| Author |
Dipti A. Mirkute
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| Paper Title |
Truth vs. Fabrication: Exploring AI’s Role in the Detection of Deepfakes
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| Subject Category |
AI
|
| Abstract |
This paper provides a review of the various methods used for deepfake generation including methods such as face swapping, attribute manipulation, face reenactment, lip-syncing, and audio cloning. Then, we discuss ways to detect deepfakes using AI, including different types and frameworks such as a feature-based, deep-learning based, and hybrid methods and comparing the strengths, weaknesses and applicable performance in real-world examples. We will provide further discussion on the emergent multimodal methods, which focus on detecting both audio and visual or metadata aspects of deepfake content, as well as our ethical, societal, and regulatory considerations, and discuss the emergence of tools used in the research community
|
| Keyword |
Deepfake Detection, Artificial Intelligence, Generative Adversarial Networks (GANs), Autoencoders, Multimedia Forensics, Synthetic Media, Facial Manipulation, Lip-Syncing, Audio Deepfakes, Image Processing, Deep Learning
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|
| Paper ID |
IJIFR/V12/E10/007
|
| Author |
J S ABHISHEK, T. SELVVI. K. KAVITHA
|
| Paper Title |
Frame work for Homomorphic Encryption Operations
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| Subject Category |
Computer Engineering
|
| Abstract |
In the perspective of data security, which is filled with
dangers and vulnerabilities, homomorphic encryption
offers an opportunity to learn how to overcome such
risks. As our digital footprint grows at an astonishing
rate, it is now more significant than ever to keep the
safety of personal data a priority. Homomorphic
encryption offers the possibility of secure encryption
calculations on encrypted data without decryption,
something that was regarded as impossible before.
This cryptographic masterpiece is based on four
different algorithms: Paillier, BGV, CKKS, and BFV.
Investigate every algorithm’s options for functions for
different datasets and operations. It is evident that this
model has the capability to adapt and is flexible. While
Paillier, BFV, and BGV perform computations with
integer numbers, CKKS is used for floating-point
values.
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| Keyword |
Strategies, Algorithms, Applications, Additive homomorphism, Multiplicative homomorphism, Performance overhead
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|
| Paper ID |
IJIFR/V12/E10/006
|
| Author |
T.S SUBRAMAN, V Y REBECCA
|
| Paper Title |
Assessment of The Impact of Sustainable Procurement Practices on The Cost of Road Construction Projects
|
| Subject Category |
Sustainable Materials
|
| Abstract |
The study relied on primary data which was collected using
structured and semi-structured questionnaires sent to
procurement practitioners and afterward collected by the
researchers. The questionnaire's reliability and validity was
tested with at least 10% of respondents in pilot research.
According to the general rule, the pilot test should make up
10% of the sample (Sim & Waterfield, 2019
The questionnaires were processed to check for completeness
and consistency. The information gathered was examined
using quantitative methods. The study used the statistical
program for sciences (version 22) for analysis. To facilitate
analysis, the data was first coded. The information obtained
from the questionnaire was used to satisfy the objectives of
the study, which are to evaluate the sustainability of
procurement practices within the Kenya Rural Roads
Authority. For simplicity of interpretation, outcome of the
analysis was presented in tables and charts.
|
| Keyword |
Green purchasing, Supplier partnering, Sustainable Procurement, Cost and Construction
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|
| Paper ID |
IJIFR/V12/E10/005
|
| Author |
Ami M. Shah
|
| Paper Title |
Comprehensive Survey of Symmetric and Public-Key Cryptographic Algorithms: Foundations, Attacks, and Applications
|
| Subject Category |
Cryptography and Network Security
|
| Abstract |
This survey provides a comprehensive examination of modern cryptographic algorithms, spanning both symmetric-key and public-key paradigms. It delves into the structural design, mathematical foundations, operational principles, and known cryptanalytic vulnerabilities of widely adopted algorithms such as AES, ChaCha20, RSA, and Elliptic Curve Cryptography (ECC). The report highlights the trade-offs between computational efficiency and security strength across different use cases and deployment environments. Additionally, it analyzes modern modes of operation (e.g., GCM, Poly1305), digital signature schemes (e.g., ECDSA, EdDSA), and secure key exchange protocols. Emphasis is placed on emerging trends, including post-quantum cryptographic schemes like Kyber and Dilithium, which aim to ensure resilience against quantum adversaries. Real-world applications in secure messaging, VPNs, blockchain, and IoT are examined to demonstrate how cryptographic choices are influenced by domain-specific constraints such as latency, energy efficiency, and trust models. This survey aims to serve as a foundational reference for researchers and practitioners seeking to understand the evolving landscape of algorithmic cryptography and its practical implications.
|
| Keyword |
Symmetric Key Cryptography, Public Key Cryptography, RSA, Elliptic Curve Cryptography (ECC), Cryptanalysis, Post-Quantum Cryptography (PQC), Secure Communication Protocols
|
|
| Paper ID |
IJIFR/V12/E10/004
|
| Author |
J. M. Mahadevan, S. M. Laxmi
|
| Paper Title |
Design and Analysis of MOS only Active Inductor Circuit
|
| Subject Category |
nformation Communication Technology
|
| Abstract |
This paper's primary goal is to demonstrate a MOS-only active inductor circuit that uses the fewest possible transistors. It offerstunability, low power consumption andsmall chip area. The qualitative and quantitative performance of suggested active inductoris contrasted with findings in the literature1, Cadence Virtuoso is used to simulate proposed active inductorusinga 90nm CMOS technology. Additionally, a 2ndorder bandpass filter is designedto demonstrate the adaptability of using the proposed design of active inductor. The structure of this paper is: The proposed design of the active inductor is presented in Section 2, along with its qualitative merit and comparison.This research addresses the challenge of reducing chip area, power consumption, and dependency on passive components in active inductor circuits, which are essential for RF applications.
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| Keyword |
Active Inductor, MOS transistor, Inductance, Simulator Analog filters; Analog Integrated Circuit
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|
| Paper ID |
IJIFR/V12/E10/003
|
| Author |
Rajshree Gondekar
|
| Paper Title |
Developing an Optimized Feature Selection Process for Designing Efficient Content Management System
|
| Subject Category |
Computer Engineering
|
| Abstract |
In today’s environment, the growth of data is increasing without any measures due to the development of web
technologies. The improvement of technological process has enabled the students to learn in different ways. The
universities have launched different modes of education systems i.e. online learning and offline learning systems [1].
Regardless of growing opportunities for students and faculties, the e-learning (or) online learning brings challenges due
to the absence of efficient data analyzing and interpreting systems. Online environments allow the generation of large
amounts of data related to learning/teaching processes, which offers the possibility of extracting valuable information
that may be employed to improve students’ performance. In conventional educational systems, faculties play a vital
role in learning process [2]. The students acquire basic knowledge and skills through knowledge shared by the faculty.
The development of web has drastically changed the learning system by providing online courses. Besides these
developments, the analysis and interpretation of educational data is still challenging tasks. The figure1 states the
overview of how EDM methods are applied.
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| Keyword |
Content Management System, Correlation Analysis, E-Learning and Feature Selection
|
|
| Paper ID |
IJIFR/V12/E10/002
|
| Author |
G. S. Taneshwara, R D Arya
|
| Paper Title |
Using Hadoop Inspired MapReduce and Apache Spark
|
| Subject Category |
Computer Engineering
|
| Abstract |
: Distributed data processing frameworks are nowadays the significant tools for large
chunk of data analytics over several nodes in parallel. In the point of fact Hadoop became the
initial weapon in this era to disseminate data analytical works in a cluster environment. But
apparently it has to be laid on more advance framework conspicuously Apache Spark which
upgrade the feat not only by in-memory processing, efficient high-level functionalities too. This
paper primarily focuses on the tools available for big data analysis along with a comparative
study. These tools should pursue proper scheduling algorithms while jobs process in multiple
nodes in a shared cluster. It is essential to provide fair approaches to synchronize the multi-node
tasks in distributed environment. A review of the job scheduling algorithms used by each
framework evaluating their features, strength and weakness will be discussed. The study also
comes across a new scheduling algorithm for this space.
|
| Keyword |
Big data analytics, Hadoop, Mapreduce, Apache Spark, Scheduling algorithms
|
|
| Paper ID |
IJIFR/V12/E10/001
|
| Author |
Harshita M, Navika Parsad
|
| Paper Title |
Impulse Noise using Fuzzy Switching Median Filter
|
| Subject Category |
Electrical and Electronics Engineering
|
| Abstract |
This research work presents a simple, yet efficient way to remove noise from digital images. The
method comprises three phases: the first phase is to detect the noise in the image. In this phase, based on
only the intensity values, the pixels are roughly divided into two classes, which are “noise-free pixel” and
“noise pixel”. Then, the second phase is to remove the impulse noise from the image. In this phase, only the
“noise-pixels” are processed. The “noise free pixels” are copied directly to the output image.Then, the third
phase, in which adaptive fuzzy inference system is used for giving the choice to the user. In this research
paper, present a novel method for the removal of noise from digital images. The proposed operator is a
hybrid filter obtained by appropriately combining a low, median and high pass filter and adaptive fuzzy
switching median filter. The noise is exactly estimated through the proposed operator. The distinctive
feature of the proposed operator is that it offers well line, edge, detail and texture preservation performance
while, at the same time, effectively removing noise from the input image. AFSM filter is capable of removing
all kind of noise. The internal parameters of the FIS are adaptively optimized by training. This proposed
method is suitable to be implemented in consumer electronics products such as digital televisions, cameras,
etc
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| Keyword |
Noise reduction, median filter, low pass and high pass filter, adaptive fuzzy switching median filter, and fuzzy inference system
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