Volume 12 | Issue 1

 Abstract

When transportation shifts from fossil fuelpowered to zero and ultra-low tailpipe emissions cars, the world as a whole undergoes a huge transformation. An infrastructure of information-technology-enabled charging stations (CSs), to facilitate the switch to electric vehicles, innovative distributed energy producing units and encouraging public policies are required. To facilitate the switch to electric vehicles, innovative distributed energy producing units and encouraging public policies are required. This research covers the primary factors to be taken into account while building the infrastructure for charging electric vehicles. This paper provides information on planning and technological developments to improve the infrastructure for charging stations' design and execution. Along with EVs' effects on grid integration and provisioning for EV optimum allocation, the current state of the electric car scenario is thoroughly analyzed. Research on infrastructure, particularly as it relates to issues with charging stations and efforts to standardize infrastructure in order to facilitate future research, is examined in this study. Both the financial benefits and the impact on the grid influence the optimal sites for rapid charging stations.

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multi-level charging stations; power grid network; electric vehicle; fast-charging techniques; fast- charging converter.

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It is about the political systems existed in ancient Kamrupa during the period from 3000 B.C. to 500 A.D. The proposed research work is intended to analyse the political system and culture of ancient Kamrupa. The system of political structure of ancient Kamrupa was not uniform. Many scholars have given different ideas about the political structure of Kamrupa. Pragjyotisha also known as Kamrupa in subsequent period was considered as very important place from the earliest period of history. The scope of the study of the political system of ancient Kamrupa with its capital in Pragjyotisha is very wide, which covers it are both the political and cultural aspects. The Aryans first started its process of penetration in Eastern India by installing a ruler of their choice, Naraka in Pragjyotisha. The objective of this paper is to focus on political system of ancient Kamrupa that reflected in historical literatures. This study is significant to unearth the political system existed in the ancient Kamrupa. The findings of this study will be beneficial to research scholars of political science, public administration, economy, sociology, anthropology and public policy. This paper is limited to its nature and content. The sources of secondary data are secondary confined to the political system existed ancient Kamrupa. The least literatures are available in this field accommodation of information is made at optimum level. The study is based on descriptive research. The collection of information is exploratory in nature and findings are described through observation method.

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Key Words: Ancient Kamrupa Pragjyotisha, political system, politics and monarchy

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In the dynamic landscape of bike management, our project seeks to revolutionize the way information is handled, accessed, and personalized. This Bike Management System is motivated by the vision to create a comprehensive platform that caters to the needs of both administrators and users within the biking community. Traditionally, bike information management has been burdened by manual data entry and a lack of streamlined processes. Recognizing these challenges, our project introduces a novel approach, leveraging QR code integration to simplify the addition and updating of bike details.

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Android Application,Bike E-catalogue Ex:Broucher,Bike Information

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This paper attempts to make an account for a sound by describing it from the phonological point of view, on the one hand, and from the phonetic point of view, on the other hand. The paper sets out to draw borders between l- sound and the other sound contained in the English language system. It is necessary for the purposes of phonetics to be able to describe such a sound, in fact all the sounds, of a language depending on its features so that it can easily be put into a category and to find out whether it can be affected by the features of another category. L-sound belongs to the consonant category that can be voiced in context. The whole result clearly makes up certain guidelines for foreign learners to overcome the difficulty of pronunciation due to their lack of some phonetic and phonological knowledge and other minor related linguistic factors.

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Sound L, Linguistics.

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-- This project gives an inventive system utilizing the human iris for computer interaction, addressing the sluggishness of traditional input devices in the era of fast-processing computers. The proposed system employs motion sensors to capture eyeball movements for cursor control, while incorporating a novel feature: clicking through eye-blinks. The system processes camera feed data, calibrates parameters based on user specifications, and employs computer algorithms to pinpoint the eyeball's location. This holistic approach enables seamless and natural eye-computer interactions, presenting a promising solution for human-computer interaction amidst technological advancements.

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eye-computer interaction

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Agriculture is the main occupation in India as ithas major contribution in Indian economy as well as it is a primary source of livelihood of common masses. Farmingcontributes around 18% of the India's GDP and half of thepopulation depends on it . Farmers are the backbone of the Indian economy, still they suffer from poverty, poor agricultural marketing, and many other problems. Our aim is to introduce the concept of digital marketing in the field of agriculture. We are trying to eliminate the role of middlemen from agricultural marketing in order to insure fair price to farmers. Though farmers try to sell their products on online platforms, due to quality and freshness issue many consumers did not buy them. Our proposed system will overcome both the problems of farmers as well as consumers.

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Android Application, Consumer, Digital Marketing, Deep Learning, Farmer, Graphical User Interface, Image Processing, Middlemen, Object Detection, Quality Detection.

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Cobalamin (Vitamin B12) deficiency affects people all over around the globe. People who are deficient in cobalamin possess a number of wellness issues. Preeclampsia, growth of the fetus restriction, premature delivery, infant neural tube irregularities symptoms of neurological disease, and miscarriage may all be related to cobalamin deficiency during pregnancy. Babies took care of by cobalamin-deficient mothers usually fail to develop properly and have digestive tract, hematologic, and neurological disorders. Despite the relatively low prevalence of vitamin B12 insufficiency, the illness should be identified due to its potential for catastrophic neurologic consequences. Neonatal reserves at birth and the amount in breast milk are two ways that infant B12 sufficiency is correlated with maternal levels. Even though vitamin B12 insufficiency in infants is uncommon, it should be identified because therapy can avert serious developmental delays and neurological consequences. For moms who are nursing their infants and who run the risk of developing a vitamin B12 deficiency, prevention involves adding supplements to their diet.

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Cobalamin deficiency; Pregnancy; Infants; Diagnosis; Treatment.

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This paper presents the design and development of an intelligent voice recognition chat bot. The paper presents a technology demonstrator to verify a proposed framework required to support such a bot (a web service). While a black box approach is used, by controlling the communication structure, to and from the web-service, the web-service allows all types of clients to communicate to the server from any platform. The service provided is accessible through a generated interface which allows for seamless XML processing; whereby the extensibility improves the lifespan of such a service. By introducing an artificial brain, the web-based bot generates customised user responses, aligned to the desired character. Questions asked to the bot, which are not understood, are further processed using a third-party expert system (an online intelligent research assistant), and the response is archived, improving the artificial brain capabilities for future generation of responses.

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Dalmia Cement Chatbot Mobile Application Voice Recognition Intelligent Bot Web Service Black Box Approach XML Processing Artificial Brain User Responses Android iOS User Interactions Technology Stack Flutter Dart Backend Services Security Measures Literature Review Marketing Education Health Care Cultural Heritage Entertainment Artificial Intelligence (AI) Natural Language Processing Conversational Agents Loebner Prize Microsoft XiaoIce Cloud-based Chatbots IBM Watson Microsoft Bot AWS Lambda He

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The rise of e-commerce has posed challenges for businesses regarding returns, cancellations and varied payment preferences while ensuring customer satisfaction. This paper proposes an innovative methodology that utilizes big data, Machine Learning Techniques and statistical analysis to construct customer profiles while upholding individual privacy. Through the aggregation and anonymization of customer data, the system generates personalized credit and purchasing profiles. This data-driven approach enables tailored delivery benefits and EMI options for customers. Notably, the system categorizes customers based on their credit and purchasing behavior, limiting Cash on Delivery for users with unfavorable buying profiles and withholding EMI choices for those with less favorable credit profiles. Prioritizing privacy protection, this solution optimizes e-commerce operations while respecting customer confidentiality, striking a balance between service customization and privacy preservation.

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Machine Learning Model, Customer Credit Profile, RFM Analysis, E commerce customer segmentation

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ABSTRACT Background:- Diarrheal disease is a major cause of morbidity and mortality throughout the world, particularly in developing countries. Currently available drugs are linked with adverse effects, contraindications, and risk of resistance. Traditionally, the Dried leaves concoction of Kalanchoe Pinnata Lam. is claimed to be used for diarrhea. However, the safety and efficacy of the leaf extract have not been scientifically approved yet. Therefore, the study was conducted to validate its antidiarrheal activity and safety profile in mice. Method:- The extract was obtained by the maceration technique in 95% Ethanol and water. Phytochemical screening tests were done for secondary metabolites by using standard tests. The antidiarrheal activity of the test extract at the doses of 150 mg /kg and 250 mg /kg was evaluated by using castor oil-induced models in mice. Result:- In an acute toxicity study, there were no visible signs of toxicity and mortality following a single oral administration of 2000 mg/kg. Phytochemical screening tests revealed the presence of of Ethanol extract showed presence of Alkaloids, Proteins, Carbohydrate, Phenols and Tannins, Flavonoids, Saponins, Glycosides, Triterpenoids. And Aqueous extract showed presence of Alkaloids, Proteins, Carbohydrate, Phenols and Tannins, Flavonoids. Saponins, Glycosides, Triterpenoids. The extract significantly prolonged the onset of diarrhea and reduced the weight of wet and total feces at Group of mice treated with castor oil (0.3 ml) are called disease control group showed a significant (P<0.05) increase the biochemical parameters. Group of mice which pre- treated with Loperamide (2 mg/kg orally) was standard group, expresses significant *(P<0.05)* inhibition of increase the biochemical parameters group of mice which were pre- treated with Ethanolic Extract (150 and 250 mg/kg orally ) demonstrate significant *(P< 0.05)* effect of Ethanolic Extract on biochemical parameters. Conclusion:- The study demonstrated that the test extract showed promising antidiarrheal activity.

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Keywords: Kalanchoe Pinnata Lam., diarrhea, Herbal Medicine, Loperamide.

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Aim: Impact of personality, self-efficacy and emotional intelligence on teacher effectiveness among high school teachers. Objectives: To assess the impact of personality, self-efficacy and emotional intelligence on teacher effectiveness among high school teachers. Sample: 800 high school teachers working in government and private schools in Nandyal district of Andhra Pradesh state were selected. Tool: Teacher effectiveness was assessed by teacher effectiveness rating scale designed and developed by Umme Kulsum (2006), The Emotional Intelligence scale developed by Nutankumar Thingujam and Usha Ram (1999), selfefficacy scale was developed by Copeland and Nelson (2004) and the personality scale was developed by Williams (1998) were used. Design: As there are three independent variables i.e., type of Personality (Type-A & B), self-efficacy (low and high) and emotional intelligence (Low & high), each is divided in to two categories, a 2 × 2 × 2 factorial design was employed. Statistical Analysis: The obtained data was analyzed statistically in order to test the hypotheses using Means, SDs and Analysis of Variance (ANOVA) were calculated. Conclusions: Teachers with high emotional intelligence are more effective in teaching compared with low emotional intelligence, teachers with high self-efficacy are more effective in teaching than teachers with low self-efficacy and teachers with type-A personality are more effective in teaching than teachers with type-B personality

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Personality, Self-Efficacy, Emotional Intelligence, Teacher Effectiveness and High School Teachers.

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This study examines the predicament of identification experienced by Dev in Cry The peacock and Feroza in An American Brat. As immigrant novels from the South Asian diaspora proliferate worldwide, theories on gender and identity primarily view these novels as narratives of moral and psychological development in the main characters. These theories often aim to shed light on the challenging circumstances faced by literary characters who find themselves caught between two distinct situations. Utilizing H.K Bhabha's theory of hybridity as a framework for analysis, this study will employ the ideas of mimicry, ambivalence, and homeliness, which fall under the umbrella of hybridity. These concepts will be used to enhance the comprehension of Feroza's encounters in America and life of Dev in the United Kingdom. Additionally, this study will examine the extent to which individuals bear accountability for their choice to remain in their own country or relocate to another land. The analysis indicates that when individuals are compelled to depart from their homeland in pursuit of better opportunities or as a result of crises, and subsequently establish themselves in a foreign place, the new cultural, economic, and social norms are often reluctant to fully embrace them. Occasionally, individuals face harassment due to their religious beliefs, cultural background, or racial and ethnic identity. It elicits the psychological state of despair in the characters

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hybridity; mimicry; ambivalence, homelessness, self-alienation

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Effective communication is the process of exchanging ideas, thoughts, opinions, knowledge, and data so that the message is received and understood with clarity and purpose. When we communicate effectively, both the sender and receiver feel satisfied. Effective communication is the key to successful outcomes. Technical professionals must be trained in the discipline of effective communication. This paper presents a step-by-step approach to the discipline of effective human communication. Research has provided insight into the processes of human perception and communication. These insights have led to the development of tools and procedures that increase significantly the effectiveness of that communication significantly. The communication process is divided into seven distinct steps. When taken in order, these steps give the speaker the ability to communicate and influence a wide variety of people. Engineers and technical professionals in the IEEE environment can use the 7-Step Effective Communication Process to increase their communication effectiveness. By doing so they will stand out as more capable and more competent at influencing, leading, and conveying ideas and concepts to their colleagues and others. The 7-Step Effective Communication Process allows the speaker to understand the structure of the communication that would be most beneficial for the listener. Once this has been established, the speaker then builds rapport and begins the process of understanding the listener's paradigms. Once the listener's paradigms are understood the speaker can then send the desired message and then determine if the message was received as intended. This process is fast and can be done in the course of casual conversation, in the midst of an important meeting, or from a platform presentation. It can be performed in a large group or one-on-one.

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Communication Skill

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1. Heart disease prediction 2. Machine learning algorithms 3. Random Forest Classifier 4. Early detection 5. Preventive healthcare

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Yudha rajya ka mahan karya hai, jivan mrityu ka kshetra hai , astitva aur vinash ka marg hai , jiska adhyan adhik parishram se karna chahiye.

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Suntzu ke vicharon ki sammeksha

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This survey study uses a variety of machine learning and deep learning algorithms across several utilization domains to investigate the heterogeneous field of facial emotion identification. The review covers four different research papers, each of which adds special methods and insights to the developing subject of Recognizing Emotions. Various contexts are analyzed: online learning environments, deep learning- based emotion detection, generic facial emotion identification, and real-world subject-based emotional state recognition. This study offers a thorough review of the state-of-the-art in recognizing facial expressions using through a comparative analysis of the approaches, datasets, and attained accuracies.

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Deep Learning, Support Vector Machine, Convolutional Neural Network, Artificial Neural Network, Inception-V3, VGG19, ResNet-50, k-NN, MLP, Emotion Detection, Online Learning, Real-time Engagement, Survey Paper.

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A fundamental feature of education in modern democratic societies is the emphasis laid on the equalization of educational opportunists (henceforth, EEO). But the ideal of EEO as held by any society has always been the subject to change and interpretations. Successive interpretations of EEO are more demanding with respect to the changes they require in the current state of education. Initially the concept of EEO was limited only to the absence of formal barriers, later it was realized that educational opportunities cannot be solely construed in terms of the formal features of educational institutions, instead they must be construed in terms of the interaction between these features and psycho-social traits of students which are shaped by their family and the social groups they belong to. From 1960 onwards most of researches. particularly in field of sociology of education shifted their focus on the impact of psychosocial traits that has on education, and how these traits are influenced by social structures. In this backdrop this study has been conceived as it attempts to explore the intersectional impact of social class, caste and gender on students' educational expectations and attainment.

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Intersectional Impact of Social Class, Caste and Gender on Student's Educational Expectations and Attainment

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Sentiment analysis, originating in the early 2000s, has evolved from rule-based methods to advanced machine learning models. Widely applied across industries, it deciphers opinions in textual data. Despite advancements, challenges persist, including handling sarcasm, context nuances, and cultural variations, prompting ongoing research to enhance its accuracy and versatility. This paper delves into the intricate realm of sentiment analysis, providing a comprehensive exploration of its fundamental principles and techniques. The study begins by elucidating the basics of sentiment analysis, unraveling the core concepts that form the foundation of this field. The paper scrutinizes how sentiment analysis has transcended the binary classification of positive and negative sentiments, venturing into nuanced analyses that capture the complexity of human emotions expressed in text. In addition to comprehensively covering the existing landscape, this paper engages in foresight, contemplating the future frontiers of sentiment analysis. We ponder the potential applications and advancements that may emerge as technology progresses, envisioning the role sentiment analysis might play in diverse industries.

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Opinion Mining, CNN, RNN, LSTM, Deep Learning, Neural Networks

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Transgender in the Tamil community one among the recorded thus in the Tamil literature is the fact about the world or life of Transgender who are neither male nor female make and as such called third-genders. In such a Tamil literature, we can also find facts about Transgender descriptions how these Transgender are being forced and engaged themselves willfully. We can also find facts about homosexual and lesbian acts done by both males and females in such a Tamil literature. About these people above said there are numerous concepts are being put forward from various quarters. In this context it is all important to know that our ancient Tamils were pondering seriously about these concepts ever since the long ages past. This is the main subject matter this research centering on and thus explains the title. Aravanis or Thirunangaigal are now called Transgender. These people who are neither males nor females are named as Ali, Pedi, Pedu, Kosa, Nabunjagan, Annagan and such like in the ancient Tamil literatures Keeravadai, vonbadhu, Potta, Pottaiyan, and Pombala Satti are some names the today's colloquial language calls them by. The research we are undertaking explains the differences between these two categories quite explicitly indeed. Clause 377 of the Indian penal code provides that, "If any one enjoys intercourse of his own volition and in a loved manner with either one of men or women or any least's he or she is liable to either serving a life sentence or to serving as long a period as ten years imprison with the probable fine imposed by the course. The social activities linked to the transgender are also taken into account. The importance of the Research there are innumerable researches and their results we find now and again in the world of Tamil literatures. Announcing a new truth after a discovery is what we call research. Such a discovery should be useful for the social development. By this reason alone, we can believe that our research is as much important in its merit of dealing with the transgender as they are posing serious social problems today. By this Research work we become able to understand the similarity and disparity between the activities these one groups called as the Transgender rights are granted while the denied their rights. And in such a way this Research is of great importance as it helps us to rightly understand the Transgender in our society.

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Transgender, Tamilnadu, Aravani, Thayamma Nirvana, Koothandavar, ipc 377

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Ayurveda is science which focuses more on prevention of diseases in a healthy individual and later curing of disease in diseased one. In order to prevent any disease, it's very important to know the causative factor (Nidana) of the diseases. Dysmenorrhea being one among the gynecological problems faced by women of reproductive age, prevalence of it varies between 16% - 91% with severe pain in 2% - 29% of women. In ayurveda, dysmenorrhea can be correlated to Udavarthini Yonivyapath. Taking this into consideration, the present study has been entitled "A Pilot Study to Understand Etiology of Udavarthini Yonivyapath (Dysmennorhea)" has been carry out to establish the relation between etiology and menstrual pain, menstrual flow. The etiological factors assessed were mithyachara, beeja dushti and vega dharana. For the present observational study, 50 patients were selected from our institution irrespective of Religion, Occupation and marital status with sign and symptoms of Udavarthini Yonivyapath. The observations obtained are analyzed statically using Spearman's rank correlation coefficient. The results showed that relation between etiology and menstrual flow, pain in Udavarthini Yonivyapath is not statistical significance.

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Nidana, Udavarthini Yonivyapath, Mithyaachara, Beeja dushti, Vega Dharana.

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