58,403 research outputs found
Presence AI Version 2.0 – Unified Consciousness Simulation Framework (An Extension of TCSS + Ψ(U) Framework by Sethu Krishnan, 2025)
No full textPresence AI Version 2.0 expands the mathematical framework for conscious presence simulation in AI systems. It introduces multi-dimensional awareness, tracking memory, physiology, empathy, and ego-reactivity. This paper outlines the new formula (Ψₘ(U)) with its components, interprets scoring under extreme scenarios, and presents a roadmap for future versions leading up to a simulated soul in AI.Use of AI Assistance:
This document was developed using ChatGPT by OpenAI as a tool for organizing, formatting, and expanding upon the core concepts of the author’s original theory — Ego Safe Selection and Consciousness Mapping (TCSS + Ψ(U)).
All key ideas, equations, scoring logic, and the foundational consciousness model originated from the author. ChatGPT was used to assist with:
Structuring the Presence AI Version 2.0 framework
Generating formal mathematical expressions
Simulating test scenarios
Drafting clear, consistent academic language
Designing the version roadmap (v1 → v12)
Refining analogies and scoring interpretations
The AI did not originate any independent theory or claim authorship. All intellectual ownership remains with the author, Sethu Krishnan
Data for: Enhanced elastomer toughness and fracture properties imparted by chemically reactive flat nanoparticles
No full textThe files named "Fsweep_NAME", where "NAME" refers to NC45, NG45, CB45, CF45-PARL, CF45-PERP, and BASE, contain frequency-sweep dynamic mechanical analysis (DMA) data acquired at 30 °C for the respective elastomers. Measurements were made in the dual-cantilever mode using a strain amplitude of 0.1%.The files named "Tsweep_NAME" contain temperature-sweep DMA data acquired at a constant heating rate of 3 °C/min, a strain amplitude of 0.1 %, and a strain frequency of 1 Hz.The files named "TENSILE_NAME" contain stress vs. strain data acquired on dumbbell specimens with a gauge length of 20 mm, a width of 2 mm, and a thickness of 2 mm, at a constant extension rate of 500 mm/min. The files named "CYCLIC_TENSILE_NAME" contain stress vs. strain data for these specimens using a triangular strain waveform, consisting of loading and unloading of the dumbbell specimen at a constant displacement rate of 50 mm/min. All the tensile testing data were acquired at room temperature.The files named "LOAD_DISP_NAME" contain normalized load vs. displacement data acquired on SENT specimens, as discussed in ref. 1. The load is normalized by the initial area of the uncracked ligament. The files named "R_CURVE_SENT_NAME" contain R-curve data for the SENT specimens. The normalized strain energy is obtained by dividing the strain energy, U, by the initial area of the uncracked ligament. All the fracture testing data were acquired at room temperature.Reference:1. M. Torabizadeh, Z.A. Putnam, M. Sankarasubramanian, J.C. Moosbrugger, S. Krishnan, The effects of initial crack length on fracture characterization of rubbers using the j-integral approach, Polymer Testing, 73 (2019) 327-337
Cloud computing for business
No full textIn a new study, U-M business professor M. S. Krishnan says that cloud computing helps small businesses.http://deepblue.lib.umich.edu/bitstream/2027.42/85028/1/krishnan_nov_10.mp
A Dynamic Subfilter-scale Stress Model for Large Eddy Simulations Based on Physical Flow Scales
No full textWe propose a new definition of the length scale in an eddy-viscosity model for large-eddy simulations (LES). This formulation extends and generalizes a previous proposal [Piomelli, Rouhi and Geurts, Proc. ETMM10, 2014], in which the LES length scale was expressed in terms of the integral length-scale of turbulence determined by the flow characteristics and explicitly decoupled from the simulation grid; this approach was named Integral Length-Scale Approximation (ILSA). As in the original ILSA, the model coefficient was determined by the user, and required to maintain a desired contribution of the unresolved, subfilter scales (SFS) to the global transport. We propose a local formulation (local ILSA) in which the model coefficient is local in space, allowing a precise control over SFS activity as a function of location. This new formulation preserves the properties of the global model; application to channel flow and backward-facing step verifies its features and accuracy
Large-eddy simulation of a separated flow with a sub-filter scale model based on the integral length-scale
No full textA new sub-filter scale model for large-eddy simulations, which uses a length-scale proportional to the integral scale of the turbulence instead of the grid resolution to parametrize the modelled stresses, will be assessed in the prediction of the flow of a boundary-layer over a rough surface, which includes separation and reattachment
Near Wall PIV-Measurements on the Windward Slope of a Hill
No full textThe turbulent flow over periodic hills was measured near to the wall, using planar Particle-Image-Velocimetry (PIV) at high spatial resolution. Our focus is on the near wall turbulence structure on the windward slope of the hill. For large-eddy simulation (LES) we suspect that, if this was not predicted accurately, it affects the prediction of the velocity profiles over the hill crest which in turn will affect the recirculation length downstream of the hill. Regarding the time averaged velocities, we were able to resolve the linear viscous region of the boundary layer. The velocity distribution and also the Reynolds stress does not comply with the law of the wall as it is valid for a turbulent boundary layer at equilibrium
Byzantine faulty operation recovery and cost analysis of SPURT: A distributed randomness beacon
No full textA reliable source of randomness plays an integral part in the design of many cryptographic, security, and distributed system protocols. Yet, existing constructions of distributed random beacons still have limitations such as strong setup or network assumptions, and high computational and communication costs. SPURT a novel efficient distributed randomness beacon protocol does not require any trusted or expensive setup and is secure against a malicious adversary that controls up to one-third of the nodes in a partially synchronous network. One crucial property that SPURT guarantees is unpredictability, which ensures that every honest party is able to recover the random beacon value either before or soon (3 single trip message delays) after the adversary recovers it. This thesis presents the recovery mechanisms that let SPURT provide the above guarantee even in the presence of a malicious leader. We implement SPURT and evaluate it using a network of up to 128 nodes running in geographically distributed AWS instances. Analysis and experiments demonstrated that SPURT offers very high throughput, while only incurring reasonable overhead costs from the recovery mechanisms.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-05-01The student, Vinith Krishnan, accepted the attached license on 2021-04-21 at 17:08.The student, Vinith Krishnan, submitted this Thesis for approval on 2021-04-21 at 17:15.This Thesis was approved for publication on 2021-04-23 at 16:46.DSpace SAF Submission Ingestion Package generated from Vireo submission #16480 on 2021-09-16 at 17:04:30Made available in DSpace on 2021-09-17T02:34:42Z (GMT). No. of bitstreams: 2
KRISHNAN-THESIS-2021.pdf: 634412 bytes, checksum: 74ca5ba6aca2738a27085a4c579de072 (MD5)
LICENSE.txt: 4212 bytes, checksum: c878f79dc3986ec827dbbec9c8c27670 (MD5)
Previous issue date: 2021-04-23Embargo set by: Seth Robbins for item 118563
Lift date: 2023-09-17T02:34:57Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Wide-Scale Vehicular Sensor Networks and Mobile Sensing (Guest Editorial)
No full textGuest Editorial for our Special Issu
Prediction model of the depth of the femtosecond laser micro-milling of PMMA
No full textThe femtosecond laser technology is emerging as a powerful and flexible tool for the fabrication of miniaturized polymeric devices, thanks to the micrometric precision and the minimum thermal damage on the workpiece obtainable through ultrafast laser ablation. However, parametrization of femtosecond laser processes is often based on a trial and error approach, which requires a lot of expensive experimental efforts. The design of experiment (DoE) approach can offer a methodical way to quickly determine the laser process settings limiting the use of resources. In this work, we define an accurate DoE procedure to estimate the influence of the laser repetition rate, pulse energy, scanning speed, and hatch distance on the fs-laser micromilling process of PMMA specimens in terms of depth of removed material (Dh). We show that the laser pulse energy is the parameter that mainly affects the milling depth. A predictive model describing the relationship between the response variable depth and the main laser parameters is defined and then validated
Energy dissipation and flux laws for unsteady turbulence
No full textDirect Numerical Simulations of spatially periodic unsteady turbulence show that the high Reynolds number scalings of the instantaneous energy dissipation rate and interscale energy flux at intermediate wavenumbers are qualitatively different from the well-known cornerstone scalings of equilibrium turbulence where and are time-dependent rms velocity and integral length-scales. Instead, they both scale as where and are length and velocity scales characterizing initial/overall unsteady turbulence conditions
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