After analysing the geomertry of the Sri Yantra, the eminent computer scientists Gérard Huet concludes his paper with the following:
We cannot resist quoting again The Tantric Way: “Sri Yantra, in its formal content, is a visual masterpiece of abstraction, and must have been created through revelation rather than by human ingenuity and craft”.
[A. Mookerjee, M. Khanna, The Tantric Way, Thames and Hudson, London, 1977]
Sri Yantra references
Krishna Kanth Varma, P., Krishna, C. M., & Santhi Ratna Priyanka, G.. (2018). Performance improvement of sri yantra shaped multiband antenna with defected ground structure. International Journal of Engineering and Technology(UAE)
Plain numerical DOI: 10.14419/ijet.v7i3.31.18197
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“A hybrid fractal antenna inspired from sri yantra geometry covering multiple bands in the microwave frequency spectrum is presented in this paper with a reduced size of 45mm × 30mm × 1.6mm. the presented design aims at a multiband antenna with a polygon slots inscribed in a circular patch with defected ground structure and the effect of sri yantra fractal iterations on the antenna characteristics are also studied. the gains achieved at respective bands for sri yantra geometry are 4.61db at 4.04ghz, 2.71db at 4.94ghz, 4.77db at 5.88ghz, 3.41db at 6.60ghz, 5.12db at 7.24ghz, 3.11db at 8.88ghz and 3.47db at 10.92ghz.”
Huet, G.. (2002). Śrī Yantra geometry. Theoretical Computer Science
Plain numerical DOI: 10.1016/S0304-3975(02)00028-2
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Barsotti, T. J., Jain, S., Guarneri, M., King, R. P., Vicario, D., & Mills, P. J.. (2023). An exploratory investigation of human biofield responses to encountering a sacred object. Explore
Plain numerical DOI: 10.1016/j.explore.2023.01.007
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“Context: while advances in the western sciences have increased our understanding of the human biofield, few studies have examined the potential effects of sacred objects on its functioning. design and study participants: this exploratory study examined the effects of a sacred object called the sri yantra / durga stone on the human biofield. twelve women and five men were studied on three separate occasions using the bio-well device, which purportedly measures aspects of the biofield: baseline (the day before exposure to the sacred object), pre-exposure (immediately prior to exposure to the sacred object), and post-exposure (immediately following exposure to the sacred object). a set of a priori hypotheses examined outcome effects on a set of variables, including multiple physiological systems. results: the overall bio-well energy state (bio-well variables are in units of joules) was significantly changed following exposure to the sacred object (p = 0.001). in addition, the cardiovascular, endocrine, musculoskeletal, digestive, urinogenital, and immune system readings showed significant changes (p’s<0.003) while the nervous and respiratory system assessments were unchanged. chakra (defined as a center of vital prana) energy was changed following exposure to the stone (p = 0.001), while chakra alignment was not (p = 0.145). conclusions: the findings from this exploratory study suggest that short-term human exposure to this particular sacred object had significant effects on aspects of the human biofield.”
Lidke, J. S.. (2016). The potential of the bi-directional gaze: A call for neuroscientific research on the simultaneous activation of the sympathetic and parasympathetic nervous systems through tantric practice. Religions
Plain numerical DOI: 10.3390/rel7110132
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“This paper is a call for the development of a neuroscientific research protocol for the study of the impact of tantric practice on the autonomic nervous system. tantric texts like abhinavagupta’s tantrāloka map out a complex meditative ritual system in which inward-gazing, apophatic, sense-denying contemplative practices are combined with outward-gazing, kataphatic sense-activating ritual practices. abhinavagupta announces a culminating ‘bi-directional’ state (pratimīlana-samādhi) as the highest natural state (sahaja-samādhi) in which the practitioner becomes a perfected yogi (siddhayogi). this state of maximized cognitive capacities, in which one’s inward gaze and outward world-engagement are held in balance, appears to be one in which the anabolic metabolic processes of the parasympathetic nervous system and the catabolic metabolic processes of the sympathetic nervous systems are simultaneously activated and integrated. akin to secularized mindfulness and compassion training protocols like emory’s cbct, i propose the development of secularized ‘tantric protocols’ for the development of secular and tradition-specific methods for further exploring the potential of the human neurological system.”
Lidke, J. S.. (2011). The resounding field of visualised self-awareness: The generation of synesthetic consciousness in the Śri Yantra Rituals of Nityasodaśikśrnava tantra. Journal of Hindu Studies
Plain numerical DOI: 10.1093/jhs/hir035
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“In this article, i utilise current scholarship on synesthetic experience as a lens for evaluating the multi-layered cognitive and artistic processes by which ś ra vidya practitioners construct, visualise, and embody the primary symbol of their clan, the ś ra vidyadiagram. this diagram is simultaneously a multi-hued visual image and a resounding symphonic field of luminous, reverberating graphemes. by constructing externally and visualising internally a sound field that is not just heard but perceived, the sadhaka generates an embodied poly-sensualised consciousness that is the ritualised means for achieving the aim of his śakta practice: the recognition of one’s self as non-distinct from that supreme goddess, mahatripurasundara, she whose self-emanation as the resounding, luminous ś ra yantra, is itself the emergent cosmos. © 2011 the author.”
Bolton, N. J., Nicol, D., & Macleod, G.. (1977). The geometry of the Śrī-yantra. Religion
Plain numerical DOI: 10.1016/0048-721X(77)90008-2
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Ragas
Dandawate, Y. H., Kumari, P., & Bidkar, A.. (2015). Indian instrumental music: Raga analysis and classification. In 2015 1st International Conference on Next Generation Computing Technologies (NGCT) (pp. 725–729). IEEE
Plain numerical DOI: 10.1109/NGCT.2015.7375216
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“Raga played by indian instrument is the actually soul of the indian classical music. indian classical music is famous around all over the world for its particular structure and well soundness. our work is related to analyze and classify the instrumental music according to their features. this will help to non-professional and music learner for understanding and acquire knowledge about the music using the system intelligence. there are various features for analysis of music but our approach is towards the spectral and temporal features. for extraction of feature we take spectrum, chromagram, centroid, lower energy, roll off, histogram etc. at very first we just collect clips of ragas and find out the spectral and temporal features. these features show the better result. we are using four ragas namely:- bhairav, bhairavi, todi and yaman. for classification we use different types of classifier just like knn classifier and svm classifier they gives approximate 87% and 92% accuracy respectively.”
Rao, B. T., Mandhala, V. N., Bhattacharyya, D., & Kim, T.. (
2015).
Automatic Instrumental Raaga ? A Minute Observation to Find Out Discrete System for Carnatic Music.
International Journal of Multimedia and Ubiquitous Engineering,
10(6),
99–112.
Plain numerical DOI: 10.14257/ijmue.2015.10.6.10
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“The objective of this paper is to evolve a system, which automatically mines the raaga of an indian classical music. in the first step note transcription is applied on a given audio file in order to generate the sequence of notes which are used to play the song. in the next step, the features related to arohana – avarohana are extracted. the features of two/three songs are then selected in random and given as input to the training system. totally songs of 72 melakartha raagas and 45 janya raagas are considered. subsequently, work testing is done by extracting features of one or two songs of each raaga, which are given as inputs in the training part. the generated output indicates the identification of each raaga. unique labeling has been done for each raaga, for the system to identify the set of trained raagas. in this work 7 instruments namely veena, saxophone, violin, nadaswaram, mandolin, flute and piano are used. the database generated is trained and tested by using (1) gaussian mixed model (2) hidden markov model (3) k-nearest neighbor using cosine distance and earth mover distance to draw appropriate conclusions.”