Volume 11 | Issue 9 |

 Abstract

"Sailing to Byzantium" takes readers on a metaphorical voyage, intertwining the physical and spiritual realms to illuminate the human desire for immortality and an eternal existence. Through rich imagery, symbolism, and a masterful use of poetic techniques, Yeats crafts a captivating narrative that resonates deeply with readers. This paper aims to delve into the theme of transcendence within the poem, uncovering the various literary devices and imagery employed by Yeats to convey the speaker's quest for a higher state of being. The study analyzes the theme of transcendence in "Sailing to Byzantium" by exploring the poem's imagery, symbolism, and the use of literary devices. We will examine the speaker's yearning for a spiritual transformation, his fascination with the eternal world symbolized by Byzantium, and the juxtaposition of aging mortality against timeless art. Additionally, it delves into the historical and cultural context of the poem, considering Yeats' influences from Irish mythology, the occult, and his fascination with Byzantine art. By dissecting Yeats' poem and examining its intricacies, this study aims to shed light on the profound exploration of transcendence and its enduring significance within Yeats' broader body of work. Through this analysis, we hope to gain a deeper understanding of the poem's timeless appeal, as well as its contribution to the landscape of modern poetry. Join us on this intellectual voyage as we embark on a journey into the depths of Yeats' "Sailing to Byzantium."

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Transcending Mortality: Exploring the Quest for a Higher Existence in W.B. Yeats' "Sailing to Byzantium"

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A shopaholic is a person considered to be addicted to shopping otherwise known as shopping addiction, A slang term for Compulsive Shopping also known as Compulsive buying disorder or pathological buying disorder, is a mental health condition characterized by the persistent, excessive, impulsive, and uncontrollable purchase of products in spite of severe psychological, social, occupational, financial consequences is characterized by an obsession with shopping and buying behaviour that causes adverse consequences. Persons with CBD are preoccupied with shopping and spending, and devote significant time to these behaviours. The consequences of compulsive buying, which may persist long after a spree, can be devastating, with marriages, long-term relationships, and jobs all feeling the strain. The most effective treatment is to attend therapy and group work in order to prevent continuation of this addiction. Objectives1. To assess the prevalence of shopaholic among college students. 2. To associate the level of shopaholic with selected demographic variables among college students. college students.MethodologyA descriptive design was employed by using Non probability convenient sampling technique. Data was collected from 100 students of undergraduate students at S.V college, Tirupati. Data analysis consisted of descriptive and inferential statistics. Results In this study out of 100 undergraduate students 34(34 %) have the prevalence of shopaholic and remaining 66(66%) are not. The prevalence was associated with demographic variables like education of mother, monthly income of father, monthly family income were statistically significant at 0.01 level whereas age, type of family, type of living area, socio economic class were statistically significant at 0.05 level and remaining were statistically not showing any significant association. ConclusionThe study concluded that there is significant association on prevalence of shopaholic related to age, type of family, type of living area, and socioeconomic, education of the mother, monthly income of the father, monthly family income whereas gender, religion, education of the father, monthly income of the mother, marital status, occupation of the father and occupation of the mother were statistically not showing any significant association. Awareness programmes should be conducted to the school and graduate with different area. The present study finding serve as a basis for the professionals to conduct further studies on shopaholic disorder. Awareness programmes should be conducted to the school and graduate with different area and also can conduct same study with different variables on a large sample.

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"A STUDY TO ASSESS THE PREVALENCE OF SHOPAHOLIC AMONG THE STUDENTS OF SELECTED COLLEGES, TIRUPATI "., ANDHRAPRADESH.

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The internet is the essence of life in the 21st century. With the development in technology, the internet has become more intertwined with our lives than we can think of. Cyber Security plays an important role in the field of information technology. Securing the information has become one of the biggest challenges in the present day. Nowadays when people think about cyber security, the next thing that comes to their mind is cybercrimes, which have increased massively day to day. Cybercrime is criminal activity that either targets or uses a computer, a computer network or a networked device. Cybercrime is a serious threat nowadays. The paper examines the various forms of cybercrimes, cybercrimes in India and Australia. It also includes cybercrimes from the aspect of international laws and Cyber Security Measures for Organizations to Prevent Cyber Attacks

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Cyber crime investigation in India vs. Australia

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The academic achievement of students is a fundamental concern for educators, parents, policymakers, and researchers alike. Achieving excellence in education not only benefits individuals but also contributes to societal progress. In this pursuit of academic success, various factors have been identified as crucial determinants, ranging from teaching methodologies to learning environments. Among these factors, the role of self-concept in shaping academic achievement has gained considerable attention in recent years. A positive self-concept encourages resilience, adaptability, and a growth mindset, nurturing individuals who are better equipped to face challenges both inside and outside the classroom. Parents play a pivotal role in shaping a child's self-concept. The study's findings can provide parents with valuable insights into how to nurture self-confidence, support their children's learning journeys, and contribute to their overall well-being. In this study, thematic analysis serves as the chosen methodology to delve into the nuances of how self-concept acts as a determinant of academic achievement. The methodology involves identifying, analyzing, and interpreting recurring patterns or themes within qualitative data. By employing strategies that nurture self-esteem, resilience, and a growth mindset, educators can create classroom environments where students feel empowered to learn and excel. Similarly, parents' unwavering support, belief in their children's potential, and provision of nurturing environments are instrumental in fostering positive self-concepts that translate into academic success.

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Self Concept, Academic Achievement, Parents, Teachers, Self-Efficacy

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Block chain technology is an advanced database mechanism that allows transparent information sharing within a business network. It stores data in block that are linked together in a chain. It most safe,secure and fast. Our project is to create web application to the people who lodge a complaints to the government regarding common problems. The complaint where move to the respective departments and the problem which can be solved were hold and report back to the government. The government will allocate the tender to the contractors the satisfying coded amount is chosen then transactions starts more secure using block chain technology.

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A SECURE FRAME WORK FOR GOVERNMENT TENDER ALLOCATION USING BLOCK CHAIN

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In recent years, cyber security incidents have occurred frequently. In most of these incidents, attackers have used different type of spam email as a knock-on to successfully invade government systems, well-known companies, and websites of politicians and social organizations in many countries. The detection of spam mail from big email data has been paid public attention. However, the camouflage technology of spam mail is becoming more and more complex, and the existing detection methods are unable to confront with theincreasingly complex deception methods and the growing number of email. In this project, we proposed to design a novel efficient approach named Spam Spoiler for big e-mail data classification into four different classes: Normal, Fraudulent, Harassment, and Suspicious E-mails by using LSTM based GRU. The new method includes two important stages, sample expansion stage and testing stage under sufficient samples. This project The LSTM based GRU efficiently captures meaningful information from E-mails that can be used for forensic analysis as evidence. Experimental results revealed that Spam Spoiler performed better than existing.ML algorithms and achieved a classification accuracy of 98% using the novel technique of LSTM with recurrent gradient units. As different types of topics are discussed in E-mail content analysis. Spam Spoiler effectively outperforms existing methods while keeping the classification process robust and reliable.

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AI BASED SPAM SPOILER FOR PUBLIC AND PRIVATE E-MAIL SERVICES

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Robots can play an important role in recovery operations that present considerable dangers for human rescue teams, such as after chemical explosion and fire explosion. However, the robots currently used are limitedin their ability to interact and cooperate with humans byusing three sensors. This paper introduces a framework for the rescue robot development and control. Humans can be used for rescuing people in these areas, but due tohigh risk of building collapses it is not possible to send human rescue teams in these areas. Thus affordable high technology equipment which makes this risky job quicker and safer is needed for the hour, which has beendescribed in this paper.

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Arduino Uno Microcontroller, Zigbee, Temperature sensor, gas sensor, MEMS sensor, buzzer, Robot mechanism, ESP32 Modulo (Board)

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Contact tracing is a critical tool in the fight against infectious diseases, including the ongoing COVID-19 pandemic. Traditional contact tracing methods involve manually identifying and notifying individuals who have come into contact with an infected person. However, with the increasing scale of outbreaks, manual contact tracing has become increasingly difficult and time-consuming. Machine learning can help automate and enhance the contact tracing process. In this context, ML algorithms can analyze large volumes of data to identify potential transmission chains, predict the likelihood of an individual being infected, and prioritize high-risk individuals for testing and isolation. This paper presents an overview of recent research on contact tracing using machine learning. The paper covers ML techniques and their applications that involve Clustering and DBSCAN Algorithms and Proximity Graph. Additionally, the paper discusses the challenges and ethical considerations associated with using ML in contact tracing, such as data privacy and bias. Overall, this paper highlights the potential of ML to improve the effectiveness and efficiency of contact tracing, ultimately helping to curb the spread of infectious diseases.

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contact tracing, outbreaks, transmission chains, isolation, clustering and db scan algorithm

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In recent year, there has been rapid increase in the number of deaf-mute victims due to birth defects, accidents and oral diseases. Since deaf-mute people cannot communicate easily with normal people so they have to depend on some sort of visual communication. This system is based on a skin-color modelling technique so the skin color range is predetermined that will extract pixels(hand) from non- pixels(background). The images were fed into the model called the Convolutional Neural Network (CNN) for classification of images. Keras was used for training of images provided with proper lighting condition and a uniform background; the system acquired an average testing accuracy of 93.67%, of which 90.04% was attributed to ASL alphabet recognition and 97.52% for static word recognition, thus surpassing that of other related studies. The framework is developed by using python flask for a Web Based Application to establish the connection between deaf-mute and normal users. So that the Sign Language can be converted into Normal text or voice as output for the normal people. on the other end voice of the normal people is converted into text for the convenient of the deaf-mute people

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DEVELOPING A GESTURE BASED VIDEO CALLING FOR DEAF AND MUTE PEOPLE USING MICROSOFT KINCET

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Driver support system is one of the most important features of the modern vehicles to ensure driver safety and decrease vehicle accident on roads. Apparently, the road lane detection or road boundaries detection is the complex and most challenging tasks. It is including the localization of the road and the determination of the relative position between vehicle and road. A vision system using onboard camera looking outwards from the windshield is presented in this paper. The system acquires the front view using a camera mounted on the vehicle and detects the lanes by applying few processes. The lanes are extracted using Hough transform through a pair of hyperbolas which are fitted to the edges of the lanes. The proposed lane detection system can be applied on both painted and unpainted roads as well as curved and straight road in different weather conditions. The proposed system does not require any extra information such as lane width, time to lane crossing and offset between the center of the lanes. In addition, camera calibration and coordinate transformation are also not required. The system was investigated under various situations of changing illumination, and shadows effects in various road types without speed limits. The system has demonstrated a robust performance for detecting the road lanes under different conditions.

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Image processing, Hough Transform, Python, Deep learning.

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