bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Multi-Level Algorithm with Different Encryption and Decryption Security Algorithms
Authors: Dr. Gaurav Aggarwal, Mr. Hirdesh Sharma
Published: December 2023

This research explores network data encryption and decryption strategies used in communication networks. The majority of network communication systems revolve around information sharing on mobile phones, networked PCs, and other internet-connected electronic devices. As information travels through several networks and is subject to numerous types of assaults, unsecure data can be read, altered, or faked by anybody with access to it. To defend against this form of assault, data encryption / decryption techniques are utilized. To illustrate the effects and evaluate the efficacy of each decoding and encryption method used in network technologies, Visual Basic simulation studies that encrypted and decrypt data were created, developed, and tested.  Further study was for comparative analysis of Multi-Level Algorithm with different Security Algorithms for encrypting data approach.
Pre-Trained Deep Learning Models for Detecting Strikeouts in Kannada Handwritten Documents
Authors: Bhargav, Shivayogi B. Ullagaddi
Published: December 2023

In the digital document analysis, handwritten character recognition is a challenging area.  Various methods are proposed in the literature to identify the strike-outs in various languages. Kannada handwritten classification is a crucial machine vision problem due to its various practical applications in the development of recognition systems. Identifying of strikeout string on the given Kannada statement is an important challenge to develop robust recognition system. In the present study, pre-trained models such as DenseNet121, EficientNetB0, MobileNet, InceptionResNetV2 are used to recognize strikeout Kannada words.  Experimental analysis indicates that EficientNetB0 performed better for strikeout Kannada words and InceptionResNetV2 results in higher performance for non-strikeout Kannada words.
Customers Awareness and Knowledge level towards Digital payment of Public and Private Sector Banks at Thoothukudi District
Authors: Mr. R. Anandakalidass, Dr. M. Vairavan
Published: December 2023

In today's rapidly digitizing financial landscape, understanding the awareness and knowledge levels of customers regarding digital payment methods is paramount. This study aims to assess and compare these levels among various gender categories and age groups, shedding light on potential disparities. Key objectives include promoting financial inclusion, mitigating security risks, and enhancing customer satisfaction. The implications of this research extend to policymakers, financial institutions, and businesses navigating the dynamic world of digital payments, where informed decision-making is essential for success and societal progress.
Design And Implementation of An Efficient Hybrid Two-Wheeler Vehicles
Authors: Abinesh K T, Mohana Priyaa M, Belmer Gladson V
Published: December 2023

Nowadays the population of people increases in high volume. Due to that transportation plays a major role to move one place to another place. So the need for vehicle is also high, there has been increase in usage of Oil and Gas vehicle leading to problems like Global Warming, climate change, shortage of fossil fuel, etc. Due to these reasons Automobile Companies have started doing research for making Hybrid Technology  usable into the day to day life. So the Automobile companies have started producing the Electronic-Bike to overcome the above problems. There is a lack of rechargeable point in outer area ,this may arise unwanted delay as well as create lot of problems. To overcome these problems, we proposed a new methodology to develop a new hybrid vehicle which runs with the help of both Fuel and Electricity .This Paper is mainly concentrate on the survey on existing methodology ,explanation about the proposed technologies, their function, advantages, efficiency of the  proposed system, and the fuels and raw materials used in the Hybrid Vehicle. Finally we  conclude the paper with the advantages and disadvantages of Hybrid vehicle and discuss how this technology will take over the world in future .
A Study on Customers’ Awareness on India Post Payments Bank Services and Its Impact on Customers’ Satisfaction in Thoothukudi District
Authors: Ms. P. Muthulakshmi, Dr. M. Vairavan
Published: December 2023

The paper undertakes an empirical analysis to explore the relationships among customer awareness, usage level, and satisfaction with India Post Payments Bank (IPPB) services, an institution instrumental in India's push for financial inclusion. Drawing on a sample size of 465 respondents, the study employs robust statistical methods to validate the significance of these relationships. Results indicate a strong positive correlation between customer awareness and usage level of IPPB services, a moderately strong relationship between usage level and customer satisfaction, and a weaker, yet significant, relationship between awareness and satisfaction. Based on these findings, the paper proposes targeted recommendations, ranging from awareness campaigns and partnerships to user interface improvements and customer feedback loops, aimed at elevating both the service usage and customer satisfaction. The study adds significant value to existing literature and offers actionable insights for policymakers, banking professionals, and academia to improve digital banking strategies in India.
Properties of Semi Residuated Almost Distributive Lattices
Authors: M. Madhavi, Ch. Pragathi, S. S. Raju
Published: December 2023

In this paper, mainly we have proved some important properties of semi residuation ‘ ⊕ ’ and multiplication  ‘ .  ’ in a Semi Residuated Almost Distributive Lattice(SRADL) P and given an example of  a semi residuated ADL P. For  r, s
Cloud String Cosmological Models Using Different Decelerating Parameters with Electromagnetic Field in General Theory of Relativity
Authors: T. Ramprasad
Published: December 2023

In this study, we have investigated the Bianchi type-III anisotropic cosmological model in the presence of cloud strings with electro- magnetic field in general theory of relativity. Exact solutions of field equations are obtained using the fact that shear scalar is proportional to scalar expansion and constant decelerating parameter which is derived from variation law of Hubble parameter proposed by Berman[1] and linearly varying decelerating parameter proposed by Akarsu and Dereli [2]. The dynamics and significance of physical parameters of the model are discussed using a graphical representation of these parameters.The dynamics and significance of physical parameters of the models are discussed.
Motivational Factors to Purchase Eco-Friendly Millets in Tirunelveli District
Authors: M. Esakkidevi, Dr. S. Mabel Latha Rani
Published: December 2023

Millets are among the crops that are the simplest to grow in a field. Because it is a crop that is fed through rain, it requires less care and fertilizer than wheat and rice. Millets were among the first crops farmed for food. Millets grow more quickly, fit into a range of cropping plants, and are particularly good at adapting to changing climatic and environmental circumstances. As a result, they are easy to plant and care for. This article examines the factors that influence individuals in the Tirunelveli district to purchase environmentally friendly millets. The present paper highlights the satisfactory level and motivational factors to purchase eco-friendly millets in Tirunelveli district. The data was collected from 460 consumers by applying a multistage stratified proportionate random sampling method and analysed the collected data by using statistical tools including Percentage analysis, One-sample t-test and Factor analysis. The results of the factor analysis shows that  promotion, personal and reference groups, and product positioning are some of the key factors that influence Tirunelveli consumers' decision to purchase eco-friendly millets.
Influence of Transactional Leadership Styles on Employee Motivation
Authors: Ashok Kumar Preeti Singh,
Published: December 2023

However, the effectiveness of transactional leadership on long-term employee engagement is called into doubt due to its foundation on the exchange of incentives and penalties. Ninety people agreed to take part in the research. Structural Equation Modeling was used to analyze the data in IBM SPSS Amos 24.0. According to the findings, transactional leadership has a significant and beneficial impact on employee morale. Organizations that want to strike a balance between structure and inspiration in cultivating a motivated and engaged workforce would do well to study the relationship between transactional leadership and employee motivation.
Exploring Cyber Harassment among Youth Who Use Social Media
Authors: Momo Jannat-E-Tajreen
Published: December 2023

This is an anthropological research which studies cyber harassment on social media among the young people of University of Dhaka. Cyber harassment is an umbrella term and consists several harassing behaviors. There is no concrete definition of it. In general, it is defined as intentional and repeated behavior that is directed to someone through the digital platforms in order to disturb, harm or scare them. Social media is a digital communication platform which is used most by almost all age group around the world. In our country, young people are the main user of social media platforms. So, this study is very relevant in the context of our country to understand cyber harassment. Anthropological methods and its core theoretical tenets which encourage in-depth study of any issue have provided a good framework to this research. This study uses both qualitative and quantitative methods including ten in-depth interviews and a questionnaire based online survey with fifty informants. The present study observes young user’s perception regarding cyber harassment, the nature of cyber harassment from user’s personal experience in social media. Several factors like technical skills, knowledge regarding social media, gender, capital, social network etc. play a great role in shaping their perception. This study also illuminates young people’s understanding of cyber harassment, reasons behind their mild or severe dichotomy of harassment and activities that are considered as cyber harassment by them. This study also explores the nature and extent of cyber harassment from young people’s personal experience on social media. It also observes user’s awareness on personal security through the safety measures they follow to stay safe and the strategies they take after facing cyber harassment on social media. The whole study has been analyzed using Arjun Appadurai’s Technoscapes theory, Pierre Bourdieu’s theory of capital and symbolic violence. This study concludes with a summary of the whole research, some additional opinion of the participants about this research and the role of anthropologists to work in this issue.
Pi And Fuzzy Logic Controlled Multiple Lift-Push-Pull Switched Capacitor Luo Converter
Authors: J. P. Leo Arokia Raj, S. Padma, R. Kannan
Published: December 2023

This study shows a simulation using PI and fuzzy logic controllers for a newly constructed elementary P/O push-pull switched capacitor Luo converter circuit. This incorporates both voltage lift and switched-capacitor technology. Power electronic converters' dynamic behavior becomes quite non-linear due to their time-varying and switching nature. Fuzzy logic controllers can be utilized as feedforward controllers for power electronic converters because conventional controllers are unable to provide high dynamic performance. By taking repeated measurements of the converter output voltage at specific points during a conduction period, the Control algorithm is created in this study to ensure tracking of the reference voltage and rejection of system disturbances. The main aim is a simulation of PI and Fuzzy logic controls using MATLAB/ Simulink software to evaluate the controller’s performances. The simulation results show Fuzzy controller performs effectively for the preferred converter.
PI Controller and Space Vector Modulation based Direct Torque Control of Multi-level Inverter fed Induction Motor
Authors: Srinivas Kunta, R. Kannan,  S. Padma
Published: December 2023

Managing speed and Torque in various applications can raise the AC motor's efficiency and significantly save energy. Direct Torque Control (DTC) is significant among the several methods used to regulate AC motors. It is well known that the DTC of AC motors has very favorable control performance and implementation qualities. The control strategy uses the stator flux field orientation to control Torque and flux. DTC makes it possible to manage speed and Torque over a huge range. With a squirrel-cage induction motor model, a cascaded H bridge multi-level inverter, and a PI controller, this work makes an effort to examine and analyze the characteristics and operating principle of the DTC scheme. MATLAB/SIMULINK simulation results have been used to validate the efficacy and viability of this regulating strategy.
Performance analysis of Single-Cylinder CI Engine with Turmeric Leaf Oil Biodiesel at Different Operating Conditions
Authors: Shital Salunkhe , Nandkishor
Published: December 2023

Biodiesel, made from vegetable oils, non-edible oils, and animal fats, is a promising diesel alternative. The performance of a single-cylinder diesel engine using turmeric leaf oil biodiesel is examined in this study. Three biodiesel blends—B10, B20, and B30—were tested against diesel fuel. The highest brake thermal efficiency (BTE) of 24.84% and the lowest brake-specific fuel consumption (BSFC) of 0.28 kg/kWh were achieved using diesel fuel at 600 bar injection pressure, 18 compression ratio, and full engine load. With the same operating conditions, biodiesel blends B10 (23.84% and 0.29 kg/kWh), B20 (23.38% and 0.32 kg/kWh), and B30 (23.22% and 0.34 kg/kWh) had BTE and BSFC values.
Electrical properties of CuO-embedded PPY composite samples
Authors: Vikram Singh Promila Jangra,
Published: December 2023

In the current study, three distinct CuO doping doses were used to create pure and CuO nanoparticle-doped polypyrrole-based samples by a straightforward chemistry-based polymerization procedure. A variety of methods were employed to characterize the prepared samples. The prepared samples' X-ray diffraction spectra show that they are quasi-crystals in nature. These samples' Fourier transformation infrared spectroscopy shows the different necessary fundamental bands, confirming the synthesis of the anticipated samples. The morphology of the synthesized samples can be seen in the field emission scanning electron microscopy. Using thermal gravimetric analysis, the thermal characteristics of the prepared samples were examined. Additionally, the electrical characteristics of the manufactured samples were examined between 293 and 393 K in temperature. As the temperature rises, the conductivity of the produced samples increases, indicating that they are semi-conducting.
Ensemble Methods Toward Prediction Kidney Disease
Authors: C.Srinivas, S. Naga Raju, Erra.Nikhil, V.Chandra Sheakr Rao ,
Published: December 2023

Healthcare transactions produces massive amounts of data that are so overwhelming and voluminous that it cannot be managed or evaluated using standard means. The technique and creativity needed for transforming these mountains of data into data that can be used to make decisions are provided by data mining. Most of the healthcare sector is "data rich," making physical management impractical. In order to separate out useful details and make links between the attributes, data mining needs these vast volumes of data. Understanding renal disease is a challenging task that requires much insight and expertise. As one of the top causes of illness in developing nations is kidney disease, which is also a silent killer in advanced nations. The medical industry uses data mining mostly to find diseases in databases. On the Kidney illness data set, the different data mining processes Decision trees, random forest, logistic-regression, and Naive Bayes are evaluated.
Leveraging Bi-Directional LSTM for Robust Lyrics Generation in Telugu: Methodology and Improvements
Authors: Nilesh Kumar Patel VanamaYaswanth, Ajay Kumar, Neelesh Kumar Jain,
Published: December 2023

The paper aims to analyze the various steps involved in creating semi-automated lyrics generators for Indian languages such as Telugu. Our study also examined the effects of bi-directional LSTM (long short-term memory) on different genres. After trying out several methods, we found that bi-directional LSTM works well with all formats. We improved our model with the help of 50,000 parameters during the training period and this is one of the largest crops for the Telugu language.
Some Covering Properties Using Fuzzy Maximal Covers
Authors: C. Murugesan M. Sankari,
Published: December 2023

The aim of this article is to define fuzzy maximal open cover and discuss its few properties. we also defined and study fuzzy m-compact space and discussed its properties. Also we obtain few more results on fuzzy minimal c-regular and fuzzy minimal c-normal spaces. We have proved that a fuzzy Haussdorff m-compact space is fuzzy minimal c- normal.
A New Approach for Solving a Heptagonal Intuitionistic Fuzzy Transportation Problem by Using Proposed Method
Authors: N. Parveen, K. Prabu, V. Sangeetha
Published: December 2023

In this paper, we approach the transportation problem whose supplies and demands are in intuitionistic fuzzy number. We formulate and utilize the heptagonal intuitionistic fuzzy number to deal with uncertainty. We discuss about the new ranking function for intuitionistic fuzzy number. Finally, we approach an algorithm for finding the optimal solution of heptagonal intuitionistic fuzzy transportation problem with relevant numerical example.
Exploring the Wisdom and Cultural Identity of Thai Muslim Pottery in Pattani Province
Authors: Sutinee Intanee , Burin Plengdeesakul , Nongnuch Phumalee
Published: December 2023

This research delves into the history, wisdom, and identity of Thai Muslim pottery in Pattani Province. The study's objectives are as follows: 1) To investigate the historical context of Thai Muslim pottery in Pattani Province, and 2) To explore the wisdom and cultural identity embedded within Thai Muslim pottery in Pattani Province. The qualitative research methodology was employed, with the target demographic consisting of pottery producers and individuals involved in the production process. The research focused on two specific locations: Ban Kubang Badok, Sakam Subdistrict, Mayo District, and Ban Rawo, Don Subdistrict, Panare District, Pattani Province. The study involved 10 knowledgeable individuals, 10 practitioners, and 5 relevant stakeholders. Data collection methods encompassed surveys, observation forms, interviews, and data analysis, employing conceptual frameworks such as Wisdom, Cultural Diffusion Theory, Functional Structure Theory, and Identity Theory, with findings presented using descriptive and analytical approaches, supplemented with illustrative examples.

The study yielded valuable insights into the history of Thai Muslim pottery in Pattani Province. Historical records pointed to the presence of urban settlements in Pattani Province, with references to the Mayo District. Within Mueang Yaring Subdistrict, Pattani Province, the region was home to diverse indigenous communities including Malays, Persian, Arabs, South Indians, Javanese, and Zhuang people. Consequently, a unique and culturally rich Malay-Muslim social structure emerged.

In terms of the wisdom embodied in Thai Muslim pottery in Pattani Province, it was evident that these ceramics were crafted from locally sourced clay, employing a low-fired pottery technique devoid of glazing. These pottery items played a pivotal role in various aspects of daily life, and their production methods remained steeped in tradition, passed down through generations.

            Regarding the identity of Thai Muslim pottery in Pattani Province, it was identified as possessing distinctive characteristics closely intertwined with personal, social, and cultural aspects. This was evident through the usage of Thai Muslim pottery in various contexts, including as containers for consumer goods, architectural elements, and utensils for rituals within specific faith groups and regions. These artifacts provided valuable insights into the evolving lifestyles of Thai Muslims in Pattani Province over time, reflecting the cultural and societal changes that have transpired.

            In conclusion, the wisdom and identity encapsulated in Pattani's pottery serve as invaluable tools for understanding the history, society, and culture of Thai Muslims in Pattani Province. Furthermore, these artifacts offer a window into the evolution of cultural beliefs from the past to the present, facilitating intergenerational communication and a deeper appreciation of the region's rich heritage.
Implementation of Smart Health Monitoring System Using Egde Computing
Authors: R. Kiruthikaa, V. Pavithra, G. S. Deepika, Sangeethapriya. B
Published: December 2023

The last ten years have seen a shift in the healthcare monitoring systems, making them one of the most important systems. Because of a lack of timely medical attention for individuals suffering from various illnesses, humans are struggling with the issue of untimely mortality. The main objective was to create a dependable IoT-based patient monitoring system that would enable healthcare providers to keep track of their patients, whether they are in a hospital or at home, in order to provide better treatment. Sensors, a data collecting unit, and a microprocessor make up the majority of a mobile device-based wireless healthcare monitoring system that was built in order to offer real-time online information about a patient's physiological status. The Internet of Things (IoT), edge computing, cloud computing, and other emerging information technologies have all contributed to the development of smart healthcare. The Internet of Things (IoT) concepts have been widely applied to connect the available medical resources and provide patients with intelligent, dependable, and efficient healthcare. One of the paradigms that can harness the benefits of the IoT to improve the patient's lifestyle is health monitoring for active and supported living. We have introduced an IoT architecture that has been specially designed for healthcare applications in this project. Hence the proposed architecture collects the sensor data through Node MCU microcontroller
Green Synthesis of TiO2 Nanoparticles using Averrhoa Bilimbi Fruit Extract and their Applications in Photocatalytic Dye Degradation and Anti-bacterial Activities
Authors: Dhanya S, Jayaprabha K N, Anupama S
Published: December 2023

Due to their numerous distinctive characteristics, nanostructured materials are currently a crucial topic of research. One of the most promising materials today are TiO2 nanostructures, which are one among the transition metal oxides. Due to the absence of any potentially dangerous ingredients and commercially viable procedure, green approaches of nanoparticle synthesis have significant benefit over traditional approaches. The present work reported, the photocatalytic as well as anti-bacterial activity of green synthesized titanium dioxide (TiO2-NPs). An aqueous fruit extract of Averrhoa bilimbi as a capping as well as reducing agent, is utilized for the synthesis of TiO2-NPs. The prepared TiO2-NPs have been characterized by spectral methods using powder XRD (X-ray diffraction) and FTIR (Fourier transforms infrared spectroscopy). Morphological characterization by SEM analysis showed that the synthesized was spherical structure with an average particle size of 60 nm. The photocatalytic dye degradation and anti-bacterial activity have been performed and the result revealed the impressive capability of TiO2-NPs. Hence, the current research work offers a futuristic outlook on a green photocatalysts for profound applications.
AIS Effect on Human Behavior and Well-Being: An Empirical Analysis
Authors: Satheesh Babu, Gurvinder Singh D. Bharathi, Poonam, K. K. Bajaj, A.
Published: December 2023

The integration of artificial intelligence (AI) into various facets of our everyday existence has occurred at a rapid pace. This includes the presence of personal assistants on our smartphones as well as the algorithms that serve as the foundation for social media feeds. Artificial intelligence (AI) possesses the capacity to profoundly transform various aspects of human existence and professional endeavors. However, it is imperative to acknowledge that AI is not exempt from certain limitations and disadvantages. An aspect of considerable concern pertains to the potential psychological ramifications associated with the utilization of artificial intelligence (AI) technologies. With the escalating dependence on these technologies, there is a mounting apprehension regarding their potential adverse impact on human behavior and overall well-being. Further investigation is necessary in order to fully grasp the psychological ramifications of artificial intelligence, as these impacts are intricate and multidimensional in their entirety. The majority of tasks performed at the interface between humans and machines necessitate individuals to engage in novel and distinct activities, as well as to approach familiar tasks in alternative ways. The leaders of the future will be those who actively use collaborative intelligence, so revolutionizing their organizational practices, market strategies, industry dynamics, and, significantly, their workforce management. The field of artificial intelligence has witnessed significant advancements in various domains traditionally associated with human expertise, such as disease diagnosis, language translation, and customer service. Moreover, these advancements have been characterized by rapid progress. The emergence of such concerns is rooted in the realistic apprehension that artificial intelligence (AI) has the potential to gradually supplant human labor across all sectors of the economy. However, it is important to note that such a conclusion is not necessarily inevitable, or even the most probable. The current state of digital technologies exhibits an unprecedented level of responsiveness to human users, and conversely, humans have become increasingly attuned to utilizing these tools. The advent of AI will have a profound impact on the nature of work and the individuals involved in it. However, its primary effect will be to enhance and supplement human abilities, rather than displacing them entirely. The main aim to analyse the positive & negative effects of AI on human behaviour & well-being & to understand how AI affects human behavior and well-being and deployment of AI technologies for the benefit of individuals and society.
A Novel Electrochemical Sensor Based on Multi Walled Carbon Nano Tubes/Poly (Evans Blue) Composite for the Determination of Dopamine in Presence of 5-HT and FA
Authors: Shaik Mahammad Sadik P. Shaikshavali, S. Karimunnisa Begum,
Published: December 2023

A new sensor was fabricated by electrochemical polymerization of Evans blue (EB) followed by deposition of multi walled carbon nano tubes (MWCNTs) on glassy carbon electrode (GCE). The developed electrode was characterized by using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The fabricated electrode was employed for analyzing neurotransmitter Dopamine (DA) drug and its simultaneous determination in presence of serotonin (5-HT) and folic acid (FA) with the help of differential pulse voltammetry (DPV) technique. The effect of pH of phosphate buffer solution (PBS) was studied and pH - 5.0 was found to be an optimum pH value. In the present investigation the kinetic parameters, such as charge transfer coefficient, number of electrons and rate constant values were evaluated. The voltammetric peak currents showed a linear response for DA concentrations from 0.5 to 100 µM and from the linear relationship the limit of detection (LOD) and limit of quantification (LOQ), values were as evaluated as 0.54 µM and 1.8 µM respectively. The fabricated electrode showed good stability, reproducibility and sensitivity. The practical application of the developed sensor in determining DA levels in pharmaceutical formulation was successfully monitored.
20-Sim Bondgraph for Solar Home Applications
Authors: R. Kiranmayi, B.Nagalakshmi,  K. Nagaraju,
Published: December 2023

Designing of solar generation for home applications using MATLAB/sim electronics and Bond Graph model 20- sim used in this paper. The devices required for home applications are solar panel, irradiance and temperature insists as input and generates DC as output to the solar panel.  As the solar panels generates DC output but our home requires 240 v AC supply, to convert this DC to AC power electronic device inverter requires. This inverter converts DC to pulsating AC supply. To convert pulsating AC to pure AC needs LC filter. The output DC of solar depends upon temperature and irradiance, no more the temperature is not constant depends on atmosphere varying from morning to evening at afternoon only maximum temperature, high power attains and at morning and evening low temperature, low power attains but any time the home needs constant power supply to the load for 24 hours for this purpose boost converter requires for continuous supply. The device Boost converter is connected between solar panels and inverter. Instead of boost converter the device Transformer can also be used between LC filter and load. The cost of transformer is high and requires more space but in boost converter only inductor, diode, capacitor, one switch uses and obtains continuous supply, reduces the ripple factor. First all the devices solar panel, boost converter, single phase inverter are designed individually and combined  by using MATLAB/ sim electronics and Bond Graph 20-sim for both software applications better output waveforms are obtained.
Mathematical Investigation to evoke the solar cell based parametric quantities from Implicit to Explicit form
Authors: K.RajaRajeswary B. Sridevi, U. Sujatha,
Published: December 2023

The solar photovoltaic cell equivalence is of non-linear nature and it is more intricate to analyze. Henceforth, it is essential to explicate a mathematical based model in order to understand the non-linear dynamics of solar cell. To adjudicate the maximum power point, it is required to study and examine the composite characteristics by implementing iterative methods to perform mathematical computations. A mathematical canvas is needed to determine the values of series and shunt resistances present in solar cell. We can also compute different parasitic components of solar photovoltaic cell; fill factor analysis and also ideal factor calculations. Voltage equation is formulated in both 2-dimensional and 3-dimensional equation form. Mathematical based analysis has been performed and converted implicit form of equation to explicit based equation.
Emerging Theorems: An Amalgamative Outcome of Simple, 0-Simple, Semigroups, Principal factors an Expounding Assortment and Automation of semi-groups with space valued Fuzzy weakly inside principles
Authors: N.Y.Harini M. Suresh Babu1 , A.Shareef,
Published: December 2023

Before tackling the question we should perhaps begin by saying what a semigroup is. A non-empty set S endowed with a single binary operation  is known as a semigroup if for evey x,y,z [2][3]in S,   If in addition there exists 1 in S such that, for every  x in S,  we say that S is a semigroup with identity or (more usually) a monoid. In this article, we give a definition of an space valued fuzzy weakly inside ideal. We study some interesting properties [4] [5] [6] of space valued fuzzy weakly inside ideals and the relationship between space valued fuzzy weakly interior ideals and space valued fuzzy principles. We characterize some semigroups by using interval valued fuzzy weakly interior principles. Moreover, we found theorems of the homorphic image and the preimage of an space valued fuzzy weakly inside principle in semigroups [7].  The 0-simple semigroups begins with some elementary results on simple and 0-simple semigroups and a decomposition theorem for semigroups in general that indicates why and understanding of simple and 0-simple semigroups is important. The main result of the chapter is a structure theorem due to Rees (1940) [2, 31] which applies to 0-simple semigroups satisfying both the minimal conditions -- what are called completely 0-simple semigroups. Rees himself used a different definition, but we shall see below theorems that the two definitions are equivalent [1].
A New Variant of Move-To-Front (SPIN-Move To Front) List Accessing Algorithm
Authors: Shiba Prasad Dash Prasanta Kumar Mishra,
Published: December 2023

List Accessing Problem is a well studied research problem in the context of linear search. There are many existing algorithms are available for list accessing problem. Move-To-Front (MTF), Transpose (TRANS), and Frequency Count (FC) are the three primitive and widely used list accessing algorithms. All other list accessing algorithms are the variants of these three algorithms. In this paper we have made an experimental analysis of MTF and IMTF algorithms and develop “A new variant of MTF (SPIN-MTF) list accessing algorithm”. The experimental analysis of the algorithm shows that SPIN-MTF is performing better than MTF and IMTF algorithm.
Water Conservation Campaign: Attitude and Public Participation in Faridabad City
Authors: Wanti Vijay
Published: December 2023

Water is a renewable natural resource but overutilization of water has created serious problem and today it has become a matter of great concern for its sustainability and safeguard. With growing demand of water in faridabad, the ground water aquifer as well as water supply is under great stress. It is very important and need of the hour to understand the water scarcity issue and to adopt water conservation methods. This initiative can also facilitate the implementation of appropriate policies for water demand management. Water conservation strategies and steps have been taken by the government at national, state and local level to reduce the stress to safeguard the water availability. The present research discusses the attitude and participation of households to their water conservation adoptability and campaign initiated at government level to sustain the water resource. Primary data and secondary data have been collected. The study explores the behavioural aspects of public toward the natural water resource sustainability in the present situation. The study finding could be supportive to take further steps to create awareness and involvement in water conservation activities
The Effect of Latrodectus Venom and its Proteomic Functional Analyses
Authors: Elaheh Paydar Somayeh Paydar, Kheirollah Maleki,
Published: December 2023

Only a small number of spiders worldwide have fangs that penetrate human skin. Their venom is strong enough to harm humans. Among them, Latrodectus has 30 species and Sicariidae has more than 140 species worldwide. The bite of Latrodectus also called red back spider contains a neurotoxin that causes a condition called latrodectism. The bite of this type of spider causes a condition called loxoscelism, in which local necrosis of the surrounding skin and extensive breakdown of red blood cells may occur. While there is antivenom for Latrodectus venom, the bite of this spider is similar to a state of anaphylaxis and thus it is not commonly used. In many reports of spider bites, it is unclear whether a spider bite really occurred. Historically, a number of conditions were attributed to spider bites. Although necrosis has been attributed to the bites of a number of spiders, good evidence supports this only for Sicariidae. This review provides an overview of the development of spider venom research, focusing on the structure and function of venom components and analysis techniques.
IOT (Internet Of Thinks) Resource Scheduling Problem Based on Two Imperialist Competitive and Genetic Algorithms
Authors: Shakibaee Soheil
Published: December 2023

The Internet of Things (IoT) is an emerging concept in the world of Information Technologies and Communications. Using the IoT in the cloud computing platform is also feasible. Appropriate use of resources such as processors is one of the challenges of the IoT in the cloud computing platform. Hence, task scheduling and IoT resources are key issues. The IoT resource scheduling is the same as the selection of an appropriate resource to equally distribute loads in processors and maximize the efficiency of resources. This study proposes a method by which the Imperialist Competitive and Genetic algorithms are combined to resolve this problem. For this, several simulations are performed on the proposed method. Simulation results indicate that the proposed method can solve this scheduling problem at an appropriate time and computational load, which could reduce energy consumption and increase the efficiency of IoT resources in a cloud computing platform.
Investigating the Optimality of Existing Hubs in Terms of Coverage Capacity and Locating New Hubs for the Green Supply Chain of Medical and Pharmaceutical Equipment
Authors: Asghar Darigh Mahdi Hadianpour, Davood Jafari, Ali Husseinzadeh Kashan,
Published: December 2023

The problem of locating the hub is one of the most important and widely used problems in network design.  The deployed hubs can fail over time for various reasons, including disruptions in the processes, in which case excessive costs are imposed on the operating companies. Therefore, proper planning is needed to reduce the harmful effects of environmental disorders. In this regard, we seek to examine the optimization of existing hubs in terms of the capacity of the new hubs and location of the hubs, with the aim of reducing the cost of coverage to reduce the cost and maximizing the level of green hubs. To this end, the economic benefits of the measures were carried out: the establishment of a new hub, the removal of the previous or current hub, the increase and decrease of the capacity of the hubs. Eventually a new structure of hubs was introduced where the location and capacity of some hubs have changed, but in contrast, the amount of demand coverage has increased.
Role of Education for Sustainable Development
Authors: Palakhi Kalita
Published: December 2023

Education is a weapon for social change. To change the world education is considered as a primary factor. To make a better world, every country need a dynamic education system which covers all dimension that help to fulfil the goals of sustainable development. Sustainable development means to meets the needs of the present generation without compromising the ability of future generations to meet their own needs. Education for sustainable development means to cover all aspects in the field of education which help to promote sustainable development Education is way to promoting sustainable development among the young learners. The present study is an attempt to know the role of education in sustainable development. The researcher used secondary sources of data for completing the present study.
Investigating ESL students' perceptions of ambiguity tolerance-An Analytical case study at Jizan University KSA
Authors: Heena Nadeem Ansari (M.A. B.Ed.)
Published: December 2023

The objective of this study is to elucidate the perspective of students' tolerance of ambiguity to enhance proficiency in English as a secondary language. The aptitude to tolerate ambiguity, commonly referred to as AT, plays a crucial role in the process of language acquisition. It pertains to an individual's aptitude to manage and adapt to unfamiliar and uncertain aspects of the target language being learned. This skill is precious in comprehending and interpreting new information more effectively and flexibly. By cultivating AT, language learners can augment their overall proficiency, ultimately achieving greater fluency and mastery of the language they are studying. The interpretation of an ambiguous piece of language reflects the level of tolerance or intolerance of a language learner, as well as their capacity to endure the structure of the language and its impact on their emotional perception of progress. To illuminate the concern, a group of 110 students, consisting of 26 at the preparatory level, 50 at the proficient level, and 34 at the master's level in the English department at Jizan University, responded to a questionnaire comprising 12 items. The questionnaire focused on the Second Language Tolerance of Ambiguity Scale (SLTAS), modified by Erten and Topkaya in 2009. To feature a circumstantial perspective, A comprehensive assessment was conducted on students across various levels to evaluate students' capacity to tolerate ambiguity. It is evident from the study results that students must acquire the necessary skills to navigate and comprehend language structures that may be unclear or open to interpretation because of their high ambiguity tolerance. Additionally, findings indicate no significant difference exists in levels of ambiguity tolerance among students categorized by proficiency as preparatory, proficient, or master. Furthermore, four open-ended questions were executed to limited introductory, proficient and master levels, each aiming to measure the coherence between the statistical findings and data interpretation. The outcomes derived from the open-ended inquiries aligned with the most recently scrutinized studies.
The Connected Detour Edge Semi Toll Number of a Graph
Authors: S. Rekha, M. Antony
Published: December 2023

A detour edge semi toll set of a connected graph  is called a connected detour edge semi toll set of  if the induced subgraph  is connected. The minimum cardinality of a connected detour semi toll set of  is the connected detour semi toll number and is denoted by  Any connected detour semi Euler set of cardinality  is called a -set of Some general properties satisfied by this concept are studied . Some standard graphs are determined.It is shown that for every pair of  and  of integers with there exists a connected graph  such that and .
Impact of Chatter Amplitude on Surface Roughness of Carbide Insert Tool Using Laminates Among Tool and Tool Holder
Authors: Dr. P. Thangavel, Dr. S. Prakasam, Dr. R. Senthil kumar
Published: December 2023

Chatter seems throughout the metallic reducing method as a result of resonance resulting from the interaction of the prominent natural frequencies of the gadget with the frequency of chip serration. Chatter leaves a lousy floor finish on the part and negatively affects dimensional tolerances, decreased productiveness, immoderate device wear and damaged device-device components. This paper provides an progressive approach to chatter suppression throughout turning manner by way of offering extremely-thin steel rubber laminates between carbide insert device and tool holder via growing the stiffness of the device. The dynamic behavior of the workpiece and device with laminates are simulated the usage of ANSYS and investigated experimentally. it's miles obvious that with the introduction of rubber brass laminates among tool and device holder the amplitude of vibration of tool decreased and thereby floor finish of workpiece advanced.
Optimizing the Subsidized Fertilizer Distribution from Line I Warehouse to Line IV Warehouse at PT Pupuksriwidjaya Palembang in Central Java
Authors: Nurhadi Siswanto Indra Permata Kusuma, Erma Suryani ,
Published: December 2023

This research aims to examine the optimization of subsidized fertilizer distribution in the context of PT Pusri Palembang's operations in Central Java. Distribution of subsidized fertilizer is an important chain that supports a sustainable agricultural sector. However, problems arise as demand for fertilizer increases and the complexity of its supply chain affects the availability and delivery time of fertilizer to farmers. The main findings in this research identify several main problems in the distribution of subsidized fertilizer, including empty fertilizer stocks, supply delays, technology and information constraints, high transportation costs, lack of supervision, non-uniform policies, limited storage facilities, unethical actions, lack of standard guidelines, and contract issues. This research produced several recommendations for improvement including improving business processes, utilizing information technology, stricter supervision, optimizing distribution contracts, and using the time charter method in transportation contracts. It is important to implement Dwell Time management to reduce fertilizer waiting time in distribution warehouses. The application of benchmarking to best distribution practices in the fertilizer industry is also a crucial strategy in efforts to improve. PT Pusri Palembang can improve the efficiency and quality of distribution services through identifying the best competitors and adopting their successful strategies. This research provides a comprehensive view of the problem of subsidized fertilizer distribution at PT Pusri Palembang in Central Java and offers concrete solutions to increase distribution availability and efficiency. Through the implementation of recommendations for improvement, researchers hope that the distribution of subsidized fertilizer will become more efficient, support sustainable agriculture, and offer greater benefits for farmers in Central Java.
Utilization of Waste Materials in Construction Brick
Authors: Anshul Garg Jimmy Gupta,
Published: December 2023

Due to the qualities of brick, it is one of the most important and frequently used masonry units which are used in construction as a building material. Numerous attempts and efforts have been made to include wastes such as wood sawdust, rubber, processed waste tea, limestone dust, polystyrene, sludge, and fly ash into the brick manufacturing process. Recycling such trash into materials of construction is a feasible solution to the environmental crisis or pollution related issues. This contribution mentions the recycling of a variety of trash into light weight fly ash bricks. A variety of effectively materials have been explored which can be recycled very easily, as well as effects of these wastage on the physical and mechanical attributes of bricks are studied. The majority of bricks made of various types of waste materials have demonstrated beneficial impacts on the qualities of light weight fly ash bricks.
Service Quality Impact on Repurchase Intentions: A Pragmatic Airline Study
Authors: Prabu B. Christopher Balakrishnan Ravishankar,
Published: December 2023

This study aims to explore the influence of Service Quality (SQ), Customer Satisfaction (CS) and Brand Image (BI) on airline passengers Repurchase Intentions (RI). Despite the aviation industry grappling with challenges such as increased operational costs and stringent regulations, maintaining high levels of SQ remains essential for customer retention. Using structural equation modelling (SEM), the study examined data collected from 423 participants who flew on foreign-based international airlines and arrived at Chennai International Airport. The study employed analysis of moment structures (AMOS) and the Statistical Package for Social Sciences (SPSS) in a descriptive research approach. The study's findings confirm that the SERVQUAL instrument's five dimensions align with established theory. SQ positively impacts RI, and partially mediated by CS. This study provides valuable insights for airlines to enhance SQ, meet customer expectations, and develop strategies for improving CS, increasing RI, and retaining customers. The study's exploration of this unique combination of factors contributes to addressing a significant research gap in the aviation sector.