Identity Trust Framework for iGaming

The online gambling community, or the iGaming industry in the United States has individual solutions and a mix of classic processes to manage universal customer identity but it lacks a standard identity management framework in which to enroll new iGaming users, monitor those users and ensure secure transactions, which leaves it open to identity theft and financial fraud. The iGaming industry offers online poker, sports betting and casino table games. iGaming providers (provider/providers) include companies such as PartyPoker.com, Pokerstars.com, Bovada.com, BetOnline.com among others. An iGaming player (player/players) is anyone who plays to gamble on games through the Internet. This report focuses on the requirements and specification for an Identity Trust Framework to enhance security and privacy in the United States iGaming industry and players.Informatio

Predicting the Profit Potential of a Microeconomic Process: An Information Theoretic/Thermodynamic Approach

It would be of great benefit if management could predict the huge profit benefit that would result from modest investments in process improvement initiatives such as Lean, Six Sigma and Complexity reduction. While the application of these initiatives was initially restricted to manufacturing, they have been expanded to product development, marketing, and indeed all microeconomic processes... This paper derives an equation that, subject to further testing, appears to make such a profit prediction possible allowing a rational investment in microeconomic process improvement. That the profit of a company is greatly increased by the reduction of internal waste was originally demonstrated by Henry Ford, but has been greatly extended by Toyota. All waste in a process results in longer lead times from the injection of work into the process until its delivery to the customer or user. Thus the increase in profit is principally driven by the reduction of lead time. The lead time of any process is governed by Little’s Law. The central result of this paper is that the reduction of Little’s Law leads to an equation for the reduction of process Entropy in analogy to thermodynamic waste in a heat engine. Case studies are used to estimate the magnitude of Boltzmann’s Constant for Microeconomic processes. The resulting Equation of Profit allows the prediction of the amount of waste cost elimination based on explicit Lean, Six Sigma and Complexity reduction parameters.Profit Increase Prediction; Process Entropy; Information; Complexity; Waste; Equation of Profit; Little’s Law; Business Analogies with Thermodynamics; Boltzmann’s Constant of Business; Carnot; Shannon

Predicting the Profit Potential of a Microeconomic Process: An Information Theoretic/Thermodynamic Approach

Abstract It would be of great benefit if management could predict the huge profits that would result from modest investments in process improvement initiatives such as Lean, Six Sigma and Complexity reduction. While the application of these initiatives was initially restricted to manufacturing, they have been expanded to transactional processes such as product development, marketing, and indeed all microeconomic processes... This paper derives an equation that, subject to further testing, appears to make such a profit prediction possible allowing a rational investment in microeconomic process improvement. That the profit of a company is greatly increased by the reduction of internal waste was originally demonstrated by Henry Ford, but has been greatly extended by Toyota. All waste in a process results in longer lead times, measured from the injection of work into the process until its delivery to the customer or user. Thus the increase in profit is principally driven by the reduction of lead time through process improvement. The lead time of any process is governed by the Queuing Theory formula known as Little’s Law. The central result of this paper is that the reduction lead time as expressed by Little’s Law leads to an equation for the reduction of process Entropy. The expression is identical with the reduction of entropy and thermodynamic waste in a heat engine. Case studies are used to estimate the magnitude of Boltzmann’s Constant for Microeconomic processes. The resulting Equation of Profit allows the prediction of the amount of waste cost elimination based on explicit Lean, Six Sigma and Complexity reduction process improvement parameters. More data is needed to more accurately estimate the magnitude of Boltzmann’s constant for microeconomic processes.Profit Increase Prediction; Process Entropy; Information; Complexity; Waste; Equation of Profit; Little’s Law; Business Analogies with Thermodynamics; Boltzmann’s Constant of Business; Carnot; Shannon

Featureless visual processing for SLAM in changing outdoor environments

Vision-based SLAM is mostly a solved problem providing clear, sharp images can be obtained. However, in outdoor environments a number of factors such as rough terrain, high speeds and hardware limitations can result in these conditions not being met. High speed transit on rough terrain can lead to image blur and under/over exposure, problems that cannot easily be dealt with using low cost hardware. Furthermore, recently there has been a growth in interest in lifelong autonomy for robots, which brings with it the challenge in outdoor environments of dealing with a moving sun and lack of constant artificial lighting. In this paper, we present a lightweight approach to visual localization and visual odometry that addresses the challenges posed by perceptual change and low cost cameras. The approach combines low resolution imagery with the SLAM algorithm, RatSLAM. We test the system using a cheap consumer camera mounted on a small vehicle in a mixed urban and vegetated environment, at times ranging from dawn to dusk and in conditions ranging from sunny weather to rain. We first show that the system is able to provide reliable mapping and recall over the course of the day and incrementally incorporate new visual scenes from different times into an existing map. We then restrict the system to only learning visual scenes at one time of day, and show that the system is still able to localize and map at other times of day. The results demonstrate the viability of the approach in situations where image quality is poor and environmental or hardware factors preclude the use of visual features

Strength in Shear of the Thin Curved Sheets of Alclad

This note is on an investigation made to obtain information on the strength of thin curved sheets of Alclad in shear. Designers may utilize this material as a strength member as well as for a covering for the wings and fuselages. A reduction may then be made in the size of the internal strength members. These experiments were undertaken with the object of securing the maximum value from the metal in this respect. The point at which buckling occurs is of primary importance. The buckling shear of a curved thin plate was determined mathematically and also experimentally. The following formula was obtained mathematically: s=K E t/r in which s is the unit shear, K is a constant, E is the modulus of elasticity, t is the thickness of the material, and r is the radius of curvature. The value of K as determined by the experiments was found to be .075. This formula applies only when s is within the elastic limit of the material. The breaking point of the material was obtained in most of the tests as a matter of information and the results are included in this report. The effect of the supporting ribs was determined by varying the number used