Encryption plays a pivotal role in securing data in the cloud. As more organizations migrate their data and applications to cloud platforms, the risks of unauthorized access and data breaches increase. This paper explores the significance of encryption in ensuring the confidentiality, integrity, and availability of cloud-stored data. By reviewing existing literature, analyzing encryption techniques, and evaluating cloud security protocols, this study highlights the essential role of encryption in mitigating security risks. Furthermore, it examines challenges and best practices associated with (...) implementing encryption in the cloud environment. (shrink)

Real-time detection, tracking, and following of objects or individuals is a fundamental capability in fields such as robotics, surveillance, and autonomous systems. The Follow Anything project introduces an open-set approach, enabling the system to recognize and track dynamically detected objects without predefined categories. This adaptability is crucial for real-world applications where targets may vary significantly in shape, size, and behavior, requiring a robust framework that operates effectively in unstructured environments. By prioritizing flexibility, the project aims to address the limitations of (...) traditional tracking systems that are often constrained by rigid classification schemes, allowing for a more inclusive and versatile approach to object tracking. This research integrates advanced computer vision techniques and deep learning models to ensure seamless tracking even in challenging conditions, such as occlusions, varying lighting, and continuous movement. The system employs adaptive tracking algorithms that enhance target stability, allowing it to maintain precision and accuracy in dynamic settings. These algorithms are designed to dynamically adjust to changes in the environment and the characteristics of the targets, ensuring that the tracking remains consistent even when objects exhibit unpredictable behavior. By leveraging state-of-the-art models, the framework is designed to optimize real-time performance, ensuring minimal latency in detection and tracking operations. This optimization is particularly important in applications such as autonomous vehicles, where delays in processing can lead to critical safety issues. A major challenge in tracking systems is maintaining reliability when objects undergo appearance changes or are partially obstructed. To address this, the project leverages robust detection models and predictive mechanisms that anticipate movement patterns, making it capable of handling cluttered environments and unpredictable scenarios. The integration of machine learning-driven enhancements allows the system to refine tracking methodologies continuously, ensuring high responsiveness in diverse applications such as security monitoring, robotic navigation, and human computer interaction. Moreover, the system's ability to learn from past experiences and adapt its tracking strategies enhances its robustness, making it more effective in real-world situations where variability is the norm. By creating a scalable and flexible tracking framework, this project represents a significant advancement in dynamic object following in real-world conditions. The ability to adapt to unknown targets in open-set scenarios expands the scope of automation, making it a valuable asset in multiple industries. This adaptability not only increases the system's utility across various applications but also positions it as a pioneering solution in the field of intelligent tracking. The research aims to pave the way for next-generation AI-powered tracking systems, contributing to innovations in real-time detection and autonomous interactions. As the project progresses, it promises to unlock new possibilities for automation, driving advancements in how machines perceive and interact with their surroundings, ultimately leading to smarter, more efficient systems that can operate in complex environments. (shrink)

Every year, approximately 800,000 people lose their lives to suicide, underscoring the urgent need to identify individuals at risk. With the widespread use of social media, many individuals openly share their thoughts, including expressions of suicidal ideation, providing an opportunity for timely intervention. This study introduces an advanced system for detecting suicidal content on social media platforms using a combination of Natural Language Processing (NLP), Deep Learning, and Machine Learning techniques. The system leverages keyword-based detection, sentiment analysis, and contextual NLP (...) methods to identify posts indicative of suicidal ideation. A hybrid approach is adopted, integrating Logistic regression,Random Forest, Support Vector Machine, Naive Bayes and Artificial Neural Networks (ANNs) to enhance text classification performance and improve detection accuracy. The model is trained on a carefully curated dataset of labeled posts and evaluated using metrics such as precision, recall, and F1-score, demonstrating significant improvements in the accurate detection of concerning content. This automated system is designed for deployment by social media platforms to flag potentially harmful posts, allowing mental health professionals to review and provide timely support. By enhancing early identification and intervention efforts, this system offers a valuable tool for reducing suicide risks and potentially saving lives. In cases where suicidal content is identified, the system prompts the user with a supportive questionnaire, text box, or chatbot interface to offer immediate assistance or guidance. This project contributes to mental health awareness by providing an automated, accurate, and accessible tool for early detection of suicidal ideation, facilitating timely intervention and support. (shrink)

In the finance world stock trading is one of the most important activities. Stock market prediction is an act of trying to determine the future value of a stock other financial instrument traded on a financial exchange. This paper explains the prediction of a stock using Machine Learning. The technical and fundamental or the time series analysis is used by the most of the stockbrokers while making the stock predictions. The programming language is used to predict the stock market using (...) machine learning is Python. In this paper we propose a Machine Learning (ML) approach that will be trained from the available stocks data and gain intelligence and then uses the acquired knowledge for an accurate prediction. In this context this study uses a machine learning technique called Support Vector Machine (SVM) to predict stock prices for the large and small capitalizations and in the three different markets, employing prices with both daily and up-to-the-minute frequencies. (shrink)

This study examines the pursuit of immortality through a comparative analysis of the Mesopotamian Epic of Gilgamesh and Hindu mythology centered on Vishnu, the preserver god. Employing a literary and philosophical approach, the paper contrasts Gilgamesh’s personal, mortal-driven quest with Vishnu’s cosmic, eternal existence. In Gilgamesh, the semi-divine king seeks eternal life after his companion Enkidu’s death, only to confront the inevitability of mortality, reflecting a Mesopotamian view of death as a divine boundary. Conversely, Vishnu embodies immortality (...) as an intrinsic attribute, manifested through avatars like Krishna, aligning with Hindu cosmology’s cyclical view of existence and the eternal soul. The analysis reveals distinct cultural frameworks: Gilgamesh’s linear struggle for individual legacy versus Vishnu’s timeless duty to universal order. Results highlight that Gilgamesh’s journey ends in acceptance of human limits, finding meaning in earthly achievements, while Vishnu’s narrative offers transcendence through reincarnation and cosmic harmony. The study concludes that these contrasting perspectives—personal desperation versus divine continuity—mirror Mesopotamian pragmatism and Hindu metaphysics, respectively, yet both resonate with humanity’s universal longing to transcend death. This comparison underscores that the quest for immortality is less about evading mortality than redefining its significance across cultural and philosophical landscapes. (shrink)

Evil in the Vedas and the Upanishads undergoes a theoretical transformation as this literature itself moves away from its consequentialist and naturalistic roots to a radical procedural approach to moral questions. The goods of life on the early account were largely natural: evil was a moral primitive that motivated a teleological approach to morality geared towards avoiding natural evil. The gods of nature (such as fire, and rain, intimately involved in metabolism) were propitiated to gain beneficent results, and to avoid (...) hunger and illness. To please the gods of nature involves eating, which is merely the imposition of natural evil on sacrificial victims so that one avoids the evils of disease and hunger oneself. The entire system is one of resentment: the goods of life are defined by way of the bads that they displace. Authors of the latter part of the Vedas, such as the Kaṭha Upaniṣad, show themselves to be concerned about the irreducibility of evil on the naturalistic account, but also more broadly with the irreducible phenomenon of moral luck that comes in tow with a teleological approach to ethics. Whether one is able to ward off evil and enjoy the goods of life is not under one’s control and is within the purview of the forces of nature. This motivates the transition to a procedural account of ethics---yoga---where evil is not a primitive but a side effect of the non-yogic life, characterized by a lack of self-governance. As Death teaches us, evil is not a moral primitive and can be reduced out of the moral equation by taking responsibility for a lack of autonomy, which transforms this external threat of a lack of autonomy into a self lack of autonomy, or self-governance. With this transformation we are delivered into the realm of preservation (Vishnu). (shrink)

Ramayan Through Kundalini Yoga Shodasi is an ideal read for Sanskrit-literate readers who are open to eclectic yogarthas and connotative meanings -------- So you thought Vyasa was before Valmiki, Mahabharat was before Ramayan, Rama a Vishnu avatar, and tantrism distinct from vedism? Think again. In Shodasi: Secrets of the Ramayana, Telugu poet Seshendra Sharma re-reads the Ramayan to come up with a number of new conclusions. Much of the book sets out to prove that Ramayan was written before the (...) Mahabharat. Sharma discusses how Indra is cited more often than Vishnu, thus placing the context of the Ramayan closer to Vedic than Puranic thought. He quotes from the Mahabharat to show how it follows descriptions of hills, rivers from the Ramayan. The Mahabharat has some prose, and therefore, it must have been composed after Ramayan, which is entirely in poetry. These are only some of the numerous reasons that Sharma offers to suggest a new sequence of our itihasas. Sharma’s book is also an experimental reading of the Ramayan through the interpretive lens of what he calls Kundalini yoga. Hanuman’s flight to Sri Lanka gets a new interpretation. “Charana Charite Pathi” is interpreted as the path of Kundalini, and the first verse of the Sundara Kanda “Tatho Ravana Nithayah” is interpreted by Sharma to refer to Hanuman traversing the sushumna nadi of the Kundalini. Trijata’s dream becomes the Gayatri mantra through an imaginative recasting of words as numbers. Gaja (elephant) means eight, danta (teeth) means thirty-two, and maha-gaja-chaturdantam somehow also adds up to 32 syllables, which is the number of syllables in the Gayatri mantra. That Trijata’s dream is halfway through the Ramayan also becomes significant for Sharma, he calls it the ‘central bead’ in the Ramayan garland of 24,000 beads. Identifying 32-syllables as the Gayatri follows a convention, for mantras are referenced by the number of syllables; however, it is the “secret” yogartha—or mystical, anagogical translations—derived by Sharma that becomes problematic, unless he is considered an authority in his own right. conclude that the name Sundarakand is unrelated to any descriptions of beauty of any of the main characters in the Ramayan. However, Soundarya and Tripura-Sundari are well-known conventions in the tantric tradition and hence, Sharma concludes that Sundarakand derives its name from Shakti’s beauty, and “Sundara-Hanuman” means “Hanuman who is a devotee of Devi” (117). A coda in this book is about the benedictory verse in Kalidasa’s Sakuntalam which has traditionally been understood to refer to Ishwara. Sharma re-interprets this verse highlighting the “eight forms” of the last line as the eight forms of Devi that please Ishwara. This book is suitable for a reader who is Sanskrit-literate and open to eclectic yogarthas and connotative meanings. Sharma cites substantially from the Ramayan in roman but without diacritics, this is difficult to follow; and he does not always include translation. Sharma often cites commentators without citing names and sources. It is not clear why the book is called Shodasi—readers may note, this book is not about the Srividya tradition. Even if the reader is unconvinced by Sharma’s reasoning or methodology, the free flow of references may prove absorbing for a reader interested in the subject. This could also be an eclectic reference for a scholar researching tantric elements in the Ramayan. - Mani Rao The Sunday Standard Magazine The New Indian Express 29th November 2015 . (shrink)

The concept developed in relation to Atman as infrasonic bio-mechanical oscillatorwill be used to delineate the physicochemical nature of thoughts and ideas. The insight available in the Upanishads, the Brahma Sutras, the Vishnu Sahasranaama and LalitaSahasranaama will be used to further and advance the understanding of mechanical, biochemical and electro-chemical nature of human thoughts and ideas. The conceptual clarity about these mental processes will be presented. A pictorial diagram of nature and forms of energy transformations involved in thought processes (...) and idea generations will be given. Implications and application of this insight to the disciplines of physiological psychology and mind-machine modeling will be hinted. (shrink)

Valmiki , The Sage of 5th century B.C wrote The Ramayana not to narrate the story of Rama in an absorbing style. Though the epic poem presents Rama’s Journey of life in enchanting poetry , the story and the enchanting poetry are sugar coating or honey to the organic medicine called Kundalini Yoga. Maharshi Valmiki wrote the Ramayana to spread / propagate Kundalini Yoga among the masses. Thus the soul of The Ramayana is Kundalini Yoga / Sri Vidya. Valmiki embedded (...) Kundalini Yoga in the Chapter titled “ Sundara Kanda” . Hanuman and Ravana are Kundalini Yogis of Samaya and Kaula Paths. And in Sundara Kanda , he inserted “ Trijata Swapna “ , dream sequence of a demon and in it embedded the Gayathri Mantra. The concepts of Vishnu and Avatar (reincarnation) were nonexistent during the Ramayana Period. Seshendra Sharma , Scholar - Poet in his Magnum Opus of Research “ Shodasi : Secrets of The Ramayana “ reveals these secrets lying hidden for thousands of years . (shrink)

Bhakti yoga is a unique approach to achieve freedom through concurring egoism. Ramanujacharya has explored a non-dualistic and theological way to experience the higher self through the bhakti. Therefore, this study examines the potentiality of the teachings of the Ramanujacharya on Bhakti for the Yogic Bhakti Sadhana. Ramanujacharya represents the philosophical school of Vedanta. His philosophical and theological teachings are based on the Vedic text of Prastana Trayam. Ramanujacharya is majorly concerned about the practice of bhakti or devotion in his (...) philosophy. The accomplishment of the Ramanujacharya is based on Vaisnavism. Which is an experience of the Saguna form of Vishnu. Through the practice of Sadhana Saptaka individual continues his practice of Bhakti Sadhana, and ultimately the individual is driven to the Praptti. In Praptti individual achieves the state of self-surrender which is the essence of the Bhakti Sadhana. Therefore, the synthesis of these teachings highlights that through the utilization of the Bhakti Sadhana individual can concur his egoism through the achievement of parama – purushartha of Ramanujacharya teachings. Therefore, according to yoga, the flow of the mind creates egoism in the individual. The practice of Ramanujacharya bhakti yoga directs the individual to the cessation the egoism and free from misery through self-surrender and self-realization. Therefore, Ramanujacharya's teachings of Bhakti Sadhana have the potential of cultivating the ego-less pure jivatman as prescribed in the yoga Sadhana. (shrink)

This review does not comment adversely against the original writer of this work, who is a Doctor of the Roman Catholic Church. The review shows how this particular edition of the book fails as a study edition. It does not show, even in its reprint version, the sources of St. Teresa of Avila's mysticism. This edition of the book is shallow and irrelevant. Not so the actual text of St. Teresa of Avila.