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Devipriya Mani

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Papers by Devipriya Mani

Critical Roles Played by Caregivers in Medical Care using EDAS Method

by libiya saravan, Chitra Periyasami, and Devipriya Mani

REST Publisher, 2026

Caregivers play essential roles in the delivery of medical care, acting as crucial pillars in hea... more Caregivers play essential roles in the delivery of medical care, acting as crucial pillars in healthcare systems globally. This abstract explores the vital functions caregivers fulfill, highlighting their importance in patient well-being, adherence to treatment, and healthcare results. Firstly, caregivers act as advocates, ensuring that patients' concerns are heard and their needs addressed in medical environments. Secondly, they offer crucial emotional support, easing patient distress and promoting mental wellness. Thirdly, caregivers aid in treatment adherence by helping with medication management, organizing appointments, and implementing care plans. Additionally, caregivers contribute to care continuity by bridging communication divides between patients, healthcare providers, and institutions. They also play pivotal roles in rehabilitation, assisting patients with physical therapy, mobility, and daily activities. Moreover, caregivers serve as educators, imparting vital health information and encouraging self-care abilities. Despite their invaluable efforts, caregivers encounter numerous challenges, such as emotional stress, financial strain, and lack of recognition. Recognizing and supporting caregivers is vital for optimizing patient care and sustaining healthcare systems. Hence, fostering collaborations between caregivers, patients, and healthcare professionals the Evaluation of Dimensionality Reduction on Accuracy of Supervised Classification (EDAS) methodology has emerged as a potent tool in data pre-processing and feature selection, garnering attention across various domains. This paper provides an extensive examination of EDAS, charting its development, diverse applications, and future prospects. It delves into its theoretical foundations, algorithmic intricacies, empirical validations, and comparisons with alternative dimensionality reduction techniques. Additionally, it addresses challenges and opportunities within the realm of EDAS. Caregivers, Medical Care, Treatment Adherence, Continuity of Care and Emotional Support. Caregiver Well-being, Monitoring of patient progress, Patient Satisfaction and Financial Burden. The ranking for Critical Roles Played by Caregivers in Medical Care using the EDAS method Caregivers is showing the Highest Value and Emotional Support (17.59) is showing the lowest value.

Optimization and Construction of a Windmill through the MOORA Method

Designing and building windmills are crucial steps in capturing renewable wind energy. By convert... more Designing and building windmills are crucial steps in capturing renewable wind energy. By converting wind into electricity, windmills help reduce greenhouse gas emissions and support sustainable growth. A well-designed windmill leverages aerodynamics, material science, and environmental factors to optimize energy capture and efficiency. Fabrication involves creating essential components like blades, nacelles, and towers with advanced materials and engineering methods to ensure durability and reliability. Research into windmill design and fabrication is crucial for advancing renewable energy and promoting a low-carbon, sustainable future. By improving windmill efficiency and reducing production costs, this research makes wind energy more affordable and accessible. Innovations in aerodynamics, materials, and manufacturing techniques enhance windmills' resilience, performance, and adaptability across diverse environments. Furthermore, this research supports energy independence by broadening energy sources and reducing dependency on fossil fuels. The methodology for windmill design and fabrication includes several essential steps. First, wind patterns and site conditions are evaluated to determine the best turbine specifications. During the design phase, aerodynamic modeling is used to shape blades for optimal energy capture, while materials are chosen to balance strength and lightness. Aluminum, Stainless steel, Carbon Fiber. Density (kg/m2), Young's modulus (Gap), Yield Strength (Map), Cost (Rs/kg). Aluminum ranks at the top of the table, while carbon fiber is positioned at the bottom.

Optimizing Renewable Energy Solutions: A VIKOR Approach to Multi-Criteria Decision Analysis

Renewable energy is generated from natural sources like sunlight, wind, water, and geothermal hea... more Renewable energy is generated from natural sources like sunlight, wind, water, and geothermal heat, which are constantly replenished. Unlike fossil fuels, renewable energy is sustainable and produces little to no greenhouse gas emissions, making it a key solution to combat climate change. Common forms include solar power, wind energy, hydropower, and biomass. As technology advances, renewable energy is becoming more efficient and cost-effective, leading to its growing adoption globally. Transitioning to renewable energy is essential for reducing carbon footprints, promoting energy security, and ensuring a cleaner, more sustainable future for the planet. The significance of renewable energy lies in its ability to address critical global challenges like climate change, energy security, and environmental degradation. By reducing reliance on fossil fuels, renewable energy minimizes greenhouse gas emissions, helping mitigate global warming. It promotes energy independence by utilizing abundant, local resources like sunlight, wind, and water. Furthermore, the shift to renewable energy drives innovation, fosters economic growth through green jobs, and reduces air and water pollution. Research in renewable energy is vital for advancing technologies, improving efficiency, and ensuring a sustainable and resilient energy future for communities worldwide. The approach to renewable energy focuses on utilizing natural resources such as sunlight, wind, water, and biomass through a range of technologies. Wind turbines transform wind energy into mechanical power, which is subsequently converted into electricity. Hydropower relies on flowing water to drive turbines, while geothermal energy exploits the Earth's heat for power generation. Biomass energy is produced from organic materials through combustion or biochemical processes. Ongoing research and innovation strive to enhance efficiency, lower costs, and integrate these technologies into contemporary energy grids. Solar, Wind, Hydropower, Biomass Energy Output Efficiency (%), Cost per kWh ($), Carbon Emission Reduction (tons CO), Capacity Factor (%), Land Use Efficiency (MWh/acre), Energy Payback Time (years) Hydropower occupies the top position in the table, while solar energy is placed last.

Explore the Ethical Considerations Surrounding Gene Editing Technologies Using VIKOR Method

by Vidhya Prasanth, Devipriya Mani, and Soniya Sriram

REST Publisher, 2026

The ethics surrounding CRISPR-Cas9-like gene editing techniques are complex and profound. Informe... more The ethics surrounding CRISPR-Cas9-like gene editing techniques are complex and profound. Informed consent and personal autonomy are primary concerns, especially regarding interventions that affect germ cells, potentially impacting future generations. Obtaining consent from all parties involved is challenging and raises concerns about coercion and victimization. Additionally, the equitable distribution and accessibility of these technologies are ethical issues, as they may exacerbate existing healthcare disparities, benefiting affluent individuals and communities disproportionately. Safety concerns, such as non-target mutations and unintended consequences, remain significant. Moreover, the broader ethical implications of genetic modification on biodiversity and environmental sustainability require careful consideration. As these technologies continue to advance, it is essential to address these ethical considerations responsibly and equitably for the betterment of society. The VIKOR approach to Multi-Criteria Decision Making (MCDM) problem-solving is implemented as an adaptive method, rendering it unsuitable for specialized units and the standard teacher selection technique. It aims to resolve the issue by creating a distinct set of contrasts to assist candidates in reaching the final decision. The compromise ranking metric, denoted as lb, incorporates multiple criteria for evaluation, utilizing compromise programming for integration. Pre-implantation Genetic Diagnosis (PGD), Gene Therapy, Gene Silencing (RNA Interference), Gene Editing Alternatives (e.g., Oligonucleotide Therapies) and Epigenetic Modification. Ethical Oversight and Regulation, Long-Term Impacts, Global Implications and Ethical Implications. the Rank of Ethical Implications of Gene Editing Technologies for using the analysis of VIKOR Method. Epigenetic Modification is showing the highest rank and Gene Editing Alternatives (e.g., Oligonucleotide Therapies) is showing the lowest rank.

Exploring Galaxy Formation: A Multi-Criteria Evaluation of Theoretical Models

REST Journal on Emerging Trends in Modelling and Manufacturing, 2026

The study of galaxy formation and development combines theoretical creativity with observational ... more The study of galaxy formation and development combines theoretical creativity with observational skill to provide an engrossing voyage into the core of cosmic mystery. The idea that galaxies are "island universes," although proposed centuries ago by philosophers such as Wright and Kant, was not fully explored by science until 1929, when Hubble's revolutionary study established that galaxies are extra-Galactic. Originally motivated by cosmological requirements, namely in relation to the Big Bang hypothesis, the research became an interdisciplinary undertaking within the cosmological context. A combination of physics disciplines, from general relativity to nuclear and particle physics, is required to comprehend the early circumstances of galaxies due to the complicated interplay of forces and interactions during the universe's formative phases. The dark matter composition of galaxies has been further illuminated by recent developments in observational techniques, including as strong lensing, which has improved our knowledge of galaxy formation and cosmic riddles. Even with great advancements, basic issues about the diversity and origins of galaxies especially spirals and elliptical remain, making it difficult for astronomers to fully understand the intricate processes involved in galaxy creation and development.

Design and Development of Fire-Resistant Composites with Fire-Retardant Fillers for Electrical Applications

Journal on Materials and its Characterization, 2026

The integration of fire-retardant fillers and enhanced electrical conductivity plays a vital role... more The integration of fire-retardant fillers and enhanced electrical conductivity plays a vital role in improving safety, efficiency, and durability across multiple industries. Fire-retardant materials are crucial for reducing fire risks, while advancements in dielectric and conductive materials significantly enhance electronic applications. This overview highlights recent progress in both areas and their impact on modern safety standards and technological development. Fire-retardant fillers such as alumina trihydrate (ATH), metal hydroxides, and specialized additives are widely used to improve the fire resistance of polymer-based composites like epoxies, polyesters, and polyurethanes. These fillers help delay ignition, limit flame propagation, and reduce smoke generation. Their effectiveness depends on factors such as chemical composition, particle size, and uniform dispersion within the polymer matrix, which is essential for consistent performance. Studies also show that combining mineral fillers like calcium carbonate and talc with additives such as antimony trioxide enhances flame-retardant efficiency. Intumescent coatings further improve protection by forming a char layer that insulates materials during combustion. Simultaneously, conductive fillers like graphene nanoplatelets and carbon nanotubes are increasingly used to improve electrical and thermal properties in polymer composites. These materials are beneficial in electronics packaging, electromagnetic shielding, and heating systems. Improved dispersion techniques, including surface modification of fillers, have led to better compatibility and performance. Additionally, environmental regulations such as RoHS and WEEE encourage the use of safer, recyclable materials.

Application of a Focused Ion Beam System to Micro and Nano Engineering Using GRA Method

by Vidhya Prasanth, Devipriya Mani, and Manjula Selvam

rest publisher , 2026

As our society ages, the prevalence of age-related frailties increases. There is a pressing need ... more As our society ages, the prevalence of age-related frailties increases. There is a pressing need for tailored solutions to address these ailments effectively. The demand for tissue engineering is steadily rising, with a particular emphasis on utilizing stem cells to meet this need. Treatments incorporating ultrafast laser-matter interaction processes are becoming increasingly prominent, thanks to their numerous appealing attributes. These include Nano-scale spatial resolution, no thermal characteristics, and the ability to facilitate non-destructive engineering procedures. This review discusses innovative laser-based methods for printing materials suitable for biological applications and for modifying surfaces at the micro-and nanoscale. Simultaneous methods involve solving a series of measurements concurrently, employing various modes, discrete or continuous. On the other hand, information transmission techniques focus on modeling unique scales and injecting reflections at a continuous level within messaging programs Investigating the utilization of Multi-Attribute Decision Making (MADM) methods in facilitating vertical handovers within wireless networks, this study delves into the integration of weighing with Gray Rational Analysis (GRA). It evaluates the effects of these techniques and ultimately aims to enhance the precision of fault diagnosis across the entirety of the power grid. Specifically, it reanalyzes faults within overlapping regions utilizing the GRA methodology. The viability and effectiveness of the approach are assessed through examination of two instances. Concurrently, a combination of gray communication analysis and analytic hierarchy process is employed to construct an assessment framework. This framework adeptly manages uncertainties in water infiltration impact indices, providing a literal representation of the significance of each effect. Based on the analysis of technological advancements within software companies, a study was conducted to identify key traits. Subsequently, an assessment metric for innovation proficiency was devised, focusing on the capacity to introduce and develop novel technologies. This evaluation utilizes both Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA) algorithms for estimation purposes. Unique Properties is got the first rank whereas is the Challenges and Opportunities is having the Lowest rank.

Optimizing High-Performance Fiber-Reinforced Composites through Strategic Interface Engineering: An EDAS-Based Evaluation

Building Materials and Engineering Structures, 2026

High-performance fiber-reinforced composites (HPFRCs) have attracted considerable interest due to... more High-performance fiber-reinforced composites (HPFRCs) have attracted considerable interest due to their outstanding mechanical properties, including high strength-to-weight ratio, stiffness, and fatigue resistance. Nonetheless, the performance of these materials is frequently hampered by the interface between the reinforcing fibers and the matrix. Interface engineering has emerged as a promising approach to overcoming these limitations and improving the overall performance and durability of HPFRCs. This study examines the effectiveness of various interface engineering strategies using the Evaluation Based on Distance from Average Solution (EDAS) method. The analysis encompasses critical evaluation parameters such as tensile strength, flexural modulus, interlaminar shear strength, impact resistance, water absorption, thermal conductivity, and cost-effectiveness, aiming to offer a comprehensive assessment of the available alternatives. The results highlight that graphene oxide interphase modifier and plasma treatment on fiber surfaces demonstrate superior overall performance, receiving high appraisal scores and top rankings among the evaluated options. These alternatives exhibit the capability to enhance interfacial bonding, mechanical properties, and environmental resistance, all while maintaining reasonable cost-effectiveness. Conversely, traditional epoxy resin and the integration of nanostructured ceramic particles display relatively lower overall performance, indicating the necessity for further optimization and refinement. These findings underscore the importance of strategic interface engineering in unlocking the full potential of HPFRCs. By customizing the fiber-matrix interface, researchers and manufacturers can address performance limitations, mitigate failure modes, and improve the durability and reliability of these advanced composite materials. Insights gleaned from this study can inform the development of next-generation HPFRCs with enhanced mechanical, environmental, and economic attributes, facilitating their broader adoption across diverse industries.

Building Materials and Engineering Structures

Building Materials and En, 2026

High-performance fiber-reinforced composites (HPFRCs) have attracted considerable interest due to... more High-performance fiber-reinforced composites (HPFRCs) have attracted considerable interest due to their outstanding mechanical properties, including high strength-to-weight ratio, stiffness, and fatigue resistance. Nonetheless, the performance of these materials is frequently hampered by the interface between the reinforcing fibers and the matrix. Interface engineering has emerged as a promising approach to overcoming these limitations and improving the overall performance and durability of HPFRCs. This study examines the effectiveness of various interface engineering strategies using the Evaluation Based on Distance from Average Solution (EDAS) method. The analysis encompasses critical evaluation parameters such as tensile strength, flexural modulus, interlaminar shear strength, impact resistance, water absorption, thermal conductivity, and cost-effectiveness, aiming to offer a comprehensive assessment of the available alternatives. The results highlight that graphene oxide interphase modifier and plasma treatment on fiber surfaces demonstrate superior overall performance, receiving high appraisal scores and top rankings among the evaluated options. These alternatives exhibit the capability to enhance interfacial bonding, mechanical properties, and environmental resistance, all while maintaining reasonable cost-effectiveness. Conversely, traditional epoxy resin and the integration of nanostructured ceramic particles display relatively lower overall performance, indicating the necessity for further optimization and refinement. These findings underscore the importance of strategic interface engineering in unlocking the full potential of HPFRCs. By customizing the fiber-matrix interface, researchers and manufacturers can address performance limitations, mitigate failure modes, and improve the durability and reliability of these advanced composite materials. Insights gleaned from this study can inform the development of next-generation HPFRCs with enhanced mechanical, environmental, and economic attributes, facilitating their broader adoption across diverse industries.

Beyond Binary Choices: A Multi-dimensional TOPSIS Evaluation of Analogue and Digital Signal Processing Technologies

REST Journal on Advances in Mechanical Engineering, 2025

This study employs the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) me... more This study employs the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to compare analogue and digital signal processing across multiple criteria: accuracy, flexibility, complexity, and cost. The research aims to provide a comprehensive analysis of the strengths and weaknesses of both processing methods to guide decision-making in various applications. The study reveals that analogue processing excels in signal conversion and implementation, while digital processing demonstrates superiority in flexibility and signal integrity. The analysis highlights the inherent trade-offs between performance metrics, emphasizing that the choice between analogue and digital processing should be tailored to specific application requirements. Using equal weightings for all criteria, the TOPSIS analysis provides a balanced evaluation of both processing methods. The results indicate that implementation ranks highest in importance, followed by power consumption and representation. Signal integrity ranks lowest, suggesting an area for potential improvement in both analogue and digital domains. The research underscores the complexity of digital processing, which is balanced by its superior flexibility and accuracy. Cost-effectiveness varies between the two methods, necessitating case-by-case evaluation. The study also highlights the significance of power consumption in modern signal processing applications, particularly in energy-constrained environments. This analysis offers a nuanced understanding of analogue and digital signal processing methods, emphasizing the importance of considering multiple criteria in decision-making. It suggests that future developments should focus on improving signal integrity and reducing complexity without sacrificing performance. The findings indicate that integrating the strengths of both analogue and digital processing may lead to more efficient and effective signal processing solutions across various applications.

Modeling Weighted Total Product Evaluation as A Basis for Analyzing Teaching-Learning Situations

by Vidhya Prasanth, Devipriya Mani, and Chitra Periyasami

Contemporaneity of English Language and Literature in the Robotized Millennium, 2026

The teaching-learning relationship is fundamental to education, shaping the interaction between e... more The teaching-learning relationship is fundamental to education, shaping the interaction between educators and students to enhance learning. This relationship encompasses more than just conveying information; it involves creating a learning environment that promotes active participation and mutual respect. Effective teaching involves more than just presenting content; it includes acknowledging and catering to students' varied needs, interests, and learning styles. Teachers must adjust their approaches and resources to cultivate a supportive and inclusive environment where students are inspired and appreciated. Research significance: Studying the teaching-learning relationship is essential for enhancing academic performance. Analyzing interactions between educators and students helps researchers identify strategies that improve engagement and meet diverse learning needs. This leads to improved teaching techniques, supports student achievement, and fosters a positive and productive learning environment.Methology: Alternatives: Traditional Lecture-Based, Interactive Workshops, Online Self-Paced Learning, Project-Based Learning, Flipped Classroom. Evaluation Parameters: Student Engagement (scale 0-10), Learning Outcomes (GPA scale 0-4), Time Commitment (hours per week), Cost of Materials (USD per semester).Result: The results indicate that Online Self-Paced Learning achieved the highest rank, while Traditional Lecture-Based achieved the lowest rank being attained. Conclusion: "The value of the dataset for the 'teaching-learning relationship, according to the WASPAS Method, Online Self-Paced Learning achieves the highest ranking.

Evaluating Entrepreneurial Ventures using the TOPSIS Method A Multi Criteria Decision Making Approach

by Manjula Selvam, Devipriya Mani, and Chitra Periyasami

Trends in Finance and Economics, 2026

This study addresses the complexity of decision-making in entrepreneurship by applying the Techni... more This study addresses the complexity of decision-making in entrepreneurship by applying the Technique of Option Selection by Similarity to the Ideal Solution (TOPSIS) for evaluating and ranking entrepreneurial ventures. It evaluates five initiatives (A-E) on four critical criteria: innovation, market potential, rate of revenue growth and social impact. As part of the process, a decision matrix is built, the data is normalized, weights are assigned to each criterion, and the proximity of each attempt to both ideal & negative-ideal solutions is determined. All criteria were assigned an equal weightage of 0.25, ensuring a balanced evaluation structure. The results highlight the strengths of the various initiatives. Venture C stands out for its innovativeness (0.51 normalized score), while Venture B shows consistent performance, excelling in revenue growth (0.50) and social impact (0.50). Venture E leads in market potential (0.50) but lags behind in social impact. The final TOPSIS analysis ranks Venture E as the best performer with a Closeness Index (CI) of 0.68777, followed by Venture C (CI: 0.681446). Ventures D, A and B are ranked third, fourth and fifth respectively. These findings provide important insights to decision makers, showing the most promising initiatives based on criteria. This study demonstrates the effectiveness of the TOPSIS methodology in guiding complex entrepreneurial evaluations, enabling structured comparison of different ventures and informed investment decisions. It contributes to entrepreneurship by providing a quantitative tool for venture evaluation, improving entrepreneurial success rates.

Eco-Friendly Decorative Materials for Interior Design: A Multi-Criteria Evaluation Using the Weighted Sum Model

by Muniyammal Sakthivel, Anusuya Mohan, and Devipriya Mani

REST Publisher, 2025

The rise in environmental consciousness has spurred a greater need for environmentally friendly d... more The rise in environmental consciousness has spurred a greater need for environmentally friendly decorative materials in furniture and interior design. Yet, current research lacks a thorough assessment of the environmental advantages of these materials within indoor environments. To fill this void, this paper assesses the environmental effects and examines the manufacturing processes of environmentally friendly decorative materials for indoor design. It starts by examining the categories and criteria for selecting environmentally friendly decorative materials, then describes the procedure for creating wood finishes for these materials. Selecting the right materials is vital for manufacturing firms to improve material characteristics and durability, especially in construction and decoration. It is recommended to use a combined multi-criteria decision-making approach that incorporates the Weighted Sum Model in order to select the best eco-friendly ornamental materials. The hierarchical index structure assigns weights to interior environmental aspects like physiological comfort, psychological satisfaction, and environmental impact. Using the WSM, these weights are used to rank eco-friendly decorative materials and identify the most suitable option. The suggested methodology is validated using a case study that includes ten distinct kinds of solid wood. Furthermore, nine trials are included in a sensitivity analysis to assess the consistency of the ranking results. The results indicate that this approach offers a logical and effective decision-making tool for assessing the efficacy of eco-friendly decorative materials.

Enhancing Conveyor Equipment Selection: A Multi- Criteria Integrated Information Approach

by chandrasekar raja and Devipriya Mani

REST Journal on Emerging trends in Modelling and Manufacturing, 2026

Selecting conveyor equipment presents challenges due to the variety of types and manufacturers av... more Selecting conveyor equipment presents challenges due to the variety of types and manufacturers available. To tackle this, an expert system can be used for unbiased decision-making, quicker responses, and cost savings compared to human experts. The goal of this project is to use Level V Object to develop a prototype expert system for choosing industrial conveyors. The system assesses how well a conveyor satisfies material handling requirements and suggests conveyor solutions and vendors based on a suitability score. The Expected Value Criterion for making decisions in uncertain situations and the Weighted Evaluation Method are used to calculate this score. Through two industrial case studies, the prototype was validated. Six criteria are used to evaluate possible options in the conveyor selection process. An integrated approach for multi-criteria decision-making (MCDM) in conveyor evaluation and selection is presented in this work. The selection of conveyor equipment is crucial for material handling system design, impacting production efficiency and costs. Traditional selection methods often focus on quantifiable factors like cost and equipment performance, overlooking subjective considerations. This paper proposes a knowledge-based approach to conveyor equipment selection that systematically considers various factors, including both quantifiable and subjective criteria. Performance ratings are combined and decision-making is aided by the application of multi-criteria decision-making (MCDM) techniques. However, MCDM methods can struggle with fuzzy or uncertain data, which is common in conveyor selection. To address this, a multi-criteria integrated information axiom approach is proposed, incorporating criteria that may not be easily quantified.

Generalized Gravity And Fermat Principle Applications In Electrical Engineering Optimization Using The Wpm Method

The unexpected relevance of generalized gravity to electrical engineering may seem surprising, gi... more The unexpected relevance of generalized gravity to electrical engineering may seem surprising, given that relativity was historically viewed as a complex rather than a straightforward element in engineering. However, when the Fermat Principle is taken into account, the connection between these two fields becomes less astonishing. This principle states that electromagnetic energy within a medium follows the shortest optical paths available. behaving like geodesics. Moreover, it provides mathematical frameworks for fields within curved geometries. Introducing problem-based learning, abbreviated as PBL, into Slovenian graduate programs focusing on electrical technology has yielded remarkable outcomes. Comparing to traditional methods, students demonstrated higher levels of understanding, as evidenced by improved exam scores. Both faculty and students, as indicated by survey responses, expressed high satisfaction with PBL. In particular, students highlighted that PBL enhanced their confidence and problem-solving skills.

Analysis Of the Various Features of a Simple Fluid Barometer Using COPRAS Method

by Chinnasami S, Dr. Ramachandran Manickam, Devipriya Mani, and Mythili Senthil

REST Publisher , 2026

A simple fluid barometer is a device used to measure atmospheric pressure by utilizing the princi... more A simple fluid barometer is a device used to measure atmospheric pressure by utilizing the principle of hydrostatics. It typically consists of a column of liquid, such as mercury or water, within a sealed tube. As atmospheric pressure changes, the liquid level in the tube rises or falls, allowing for pressure measurement. The choice of liquid is crucial in a fluid barometer. Mercury is a traditional and common choice due to its high density, which results in a relatively tall column and high sensitivity to pressure changes. However, due to its toxicity, other alternatives like water or mineral oil are often used. The tube should be made of a material that is chemically compatible with the chosen liquid and does not react with it. Typically, glass or metal tubes are used for their stability and durability. A simple fluid barometer is an essential scientific instrument used to measure atmospheric pressure. The device was invented by Evangelista Torricelli in 1643 and is the basis for modern mercury and aneroid barometers. The core of a simple fluid barometer is a U-shaped glass tube filled with a liquid, typically mercury or water. This design allows the liquid to respond to changes in atmospheric pressure. Research Significance: The U-shaped tube design enables the measurement of atmospheric pressure variations, which is vital for meteorology, weather forecasting, and various scientific and engineering applications. Within the COPRAS-G framework, it is essential to define selection criteria, evaluate information related to these criteria, and formulate techniques for assessing the needs of meeting participants. To assess the surrogate's overall performance, certain standards need to be established. When a decision needs to be made, the decision maker (DM) is faced with the task of weighing a specific set of options, each with competing requirements, and selecting one from the range of available choices. The Complexity Proportionality Assessment (COPRAS) method can be employed as a solution in this decision-making process. From the result Barometer model E got first rank whereas the Barometer model A is having the lowest rank.

The Evaluation of Experience of Grief in a Critical Care Units using the DEMATEL Method

by Manjula Selvam, Vidhya Prasanth, and Devipriya Mani

Computer Science, Engineering and Technology, 2025

Experiencing grief in a Critical Care Unit (CCU) is a profoundly emotional and challenging journe... more Experiencing grief in a Critical Care Unit (CCU) is a profoundly emotional and challenging journey for both patients and their families. The environment, characterized by the urgent and often lifethreatening nature of illnesses or injuries, creates a palpable atmosphere of tension and anxiety. Families grapple with a profound sense of uncertainty, their hopes and fears intertwining with each passing moment. In this high-stress setting, decision-making becomes an arduous task. Balancing the desire for recovery with the potential for suffering requires navigating a complex emotional landscape. Communication with healthcare providers takes on paramount importance, as families lean on them for guidance, understanding, and hope. Support systems play a crucial role in sustaining families through this ordeal. Some turn to their faith, seeking strength in the embrace of spiritual beliefs. Others draw on the collective strength of family and friends, finding comfort in shared moments of vulnerability. The DEMATEL system, when applied to strategic criteria, aims to capture the collective knowledge regarding causal relationships. This model utilizes matrices or digraphs to represent intricate causal connections, providing a visual representation of the underlying structure. It proves highly practical and valuable, particularly for gaining insights into any given strategy. Connectivity Level (1-5), Data Transmission Rate (Mbps), Latency (ms), Reliability Score (1-10) and Energy Efficiency (KWh/100 miles). the Rank using the DEMATEL for Experience of Grief in a Critical Care Units. Connectivity Level (1-5) is got the first rank whereas is the Data Transmission Rate (Mbps) is having the Lowest rank.

Environmental Factors that Lead to High Infertility Rates using COPRAS method

by chandrasekar raja, Arunambigai Ramesh, and Devipriya Mani

REST Publishers, 2025

Rising infertility rates have emerged as a serious global health issue driven by a complexinterpl... more Rising infertility rates have emerged as a serious global health issue driven by a complexinterplay of environmental, biological, and socioeconomic factors. There is growing evidence thatenvironmental conditions play a significant role in influencing reproductive health outcomes. This studyexplores a wide range of environmental factors associated with infertility, including endocrine-disruptingchemicals, air and water pollution, altered lifestyle patterns, dietary habits, stress, and disparities inhealthcare access. Both physical and chemical environmental stressors are considered, highlighting theircumulative and interconnected effects on human fertility. Understanding these environmental impacts iscrucial for developing effective interventions aimed at reducing infertility and improving reproductivehealth at both individual and population levels. Infertility not only affects physical health but also hassignificant psychological, emotional, and social consequences for individuals and couples, underscoringthe need for holistic and preventive approaches. Furthermore, exploring the relationship betweenenvironmental factors and infertility supports global public health priorities and aligns with the UnitedNations Sustainable Development Goals, particularly those focusing on health, well-being, and sustainabledevelopment. To systematically assess the impact of environmental factors, the COPRAS-G (ComplexProportional Assessment with Gray relations) decision-making method is employed. This approach helpsin identifying key evaluation criteria, assessing alternatives under conflicting conditions, and determiningoverall performance. Five alternatives – Country A, Country B, Country C, Country D, and Country E –are evaluated based on pollution levels, stress levels, healthcare access, and dietary quality. Country Aachieves the highest ranking, indicating the most favorable conditions for reproductive health, whileCountry C ranks the lowest. The findings emphasize the importance of environmental policies, regulatoryframeworks, and targeted public health strategies in mitigating infertility risks and safeguardingreproductive well-being.

Analog-to-digital converter survey and analysis Using ARAS Method

by Chitra Periyasami and Devipriya Mani

REST Publisher, 2025

The digital signal processor (DSP) facilitates various signal processing tasks such as filtering,... more The digital signal processor (DSP) facilitates various signal processing tasks such as filtering, pre-equalization, linear echo cancellation, remote signal balancing, and time recovery operations. This is achieved through high-pass filtering, which is an analog signal preconditioning technique. The DSP section enables these functions without requiring a separate amplifier, offering flexibility in design. Additionally, advancements in ADC architectures and integrated circuit technologies have expanded possibilities and overcome previous limitations in signal processing capabilities. A current trend involves the adoption of single-chip ATCs, which results in reduced power dissipation. Nevertheless, there are challenges in terms of ADC resolution (measured in bits) and the sampling rate. The process involves converting input voltages into digital code, which requires analog-to-digital conversion and referencing against two reference voltages before generating reference codes. The suggested ADC design integrates both analog and digital components, with the ADC itself operating within the digital domain. It receives input in the form of digital codes along with two reference signals, allowing it to accommodate variations in process, voltage, and temperature (PVT). The architecture comprises a combination of a signal module and a digital signal processing (DSP) module. Channel inputs are processed through switchcapacitor-based sample and hold circuits, which are then combined using addition or subtraction sequences. Notably, this combination method does not result in any bandwidth expansion. The discretetime signals produced can either be directly from a single ADC (Analog-to-Digital Converter) or converted into digital sequences through scaling. Recurrent Neural Networks' abilities are contingent upon their dynamics, which in turn rely on their behavior. An analogous composite of this idea is pivotal in digital processing calculations. A non-linear electronic unit serves as the equivalent in analog processing. We adopt a rounded approach in both digital and analog processing within discrete time. To mitigate effects, 14 methods have been suggested by segmenting the process into blocks. The signal loss and amplified power during data exchange have been addressed by exploring the utilization of nanofibers within a condensed timeframe. This manufacturing technique proves highly adaptable, boasting small pore sizes and fiber diameters, resulting in increased surface area and controllable orientation. Another approach involves collagen micro-fibers, which self-assemble through a co-emission method. To tackle the issue of updating, Multiple Attribute Decision Making (MADM) methodologies have been employed. These methods effectively assess the status of current structures, offering equally optimal ratings and facilitating comparisons with alternatives, including those aligned with Nearly Zero Energy Building (NZEB) standards. This comparison fulfills the criteria for Nearly Zero Energy Building (NZEB) standards, enabling the choice of the most effective update strategies through the use of the Admission Ratio Assessment System (ARAS). It explores the cultivation of atrophy plants in new climatic regions of Iran for the purpose of biodiesel production, with a focus on selecting the most suitable province. The objective of this article is to evaluate the potential for cultivating atrophy plants in Iran, specifically addressing a gap noted in previous feasibility studies which did not account for environmental factors. In this study, the literature review identified selection criteria for extracting CWEs at specific cutter locations. Initially, compensation was applied to a physical entity, which then made cuts along the work piece. Subsequently, the resulting removal block was broken down into individual faces. Representation is showing the highest rank and Signal Integrity is showing the lowest rank.

Evaluation of Embedded Intelligent real time systems by using MOORA method

Evaluation of Embedded Intelligent real time systems. When facing intelligent real-time software ... more Evaluation of Embedded Intelligent real time systems. When facing intelligent real-time software systems integrated into larger host systems, several evaluation challenges arise. It is of utmost importance to focus on assessing these systems and ensuring their software safety, especially since they are being utilized more frequently in critical sectors such as aerospace, medicine, manufacturing, and transportation. Embedded software engineering for such systems differs significantly from conventional software engineering in various aspects. Engineers working on these systems must possess expertise in additional areas beyond standard software development. They need to be well-versed in electrical power, electronics, the physical interface between digital and analogue electronics and computers, as well as software development for embedded systems and digital signal processors (DSP). This multidisciplinary approach is crucial to guarantee the successful design and implementation of intelligent real-time software systems in various applications, where safety and reliability are paramount concerns. The field of information technology is constantly advancing, with the emergence of various decision support systems, group decision support systems, knowledge-based systems, and expert systems. Originally, these systems were created as independent technologies to offer timely and suitable decision support to users. These systems play a vital role in the operation of numerous safety-critical, largescale systems, including air traffic control, global financial and telecommunications networks, and real-time command and control networks. There is a strong desire to further develop intelligent real-time systems that can be integrated into these complex large-scale systems to provide guidance and assist users in their actions. Versatile with unique alternatives a new method for optimization is proposed MOORA. This method is objective denotes the matrix of responses of the alternatives, however, proposing better policies, which rates are used. Well established. Multi-objective another method for optimization is used for comparison, reference point method. Then, various competitions this proved to be the best choice among the methods. Adaptability, Latency, Fault Tolerance, User Experience. Responsiveness, Accuracy, Resource Utilization, Reliability, Power Efficiency. From the result it is seen that Accuracy is got the first rank whereas is resource utilization is having the lowest rank. Accuracy is got the first rank whereas is resource utilization is having the lowest rank.