Effects of Velocity-slip and Viscosity Variation for Lubrication of Roller Bearings

A generalised form of Reynolds equation for two symmetrical surfaces is derived considering velocity-slip at the bearing surfaces. This equation is applied to study the effects ofvelocity -slip for the lubrication of roller bearings under lightly loaded conditions. Expressions for the point of cavitation, load capacities, and coefficient of friction obtained are also studied theoretically for various parameters

A thermodynamic framework to develop rate-type models for fluids without instantaneous elasticity

In this paper, we apply the thermodynamic framework recently put into place by Rajagopal and co-workers, to develop rate-type models for viscoelastic fluids which do not possess instantaneous elasticity. To illustrate the capabilities of such models we make a specific choice for the specific Helmholtz potential and the rate of dissipation and consider the creep and stress relaxation response associated with the model. Given specific forms for the Helmholtz potential and the rate of dissipation, the rate of dissipation is maximized with the constraint that the difference between the stress power and the rate of change of Helmholtz potential is equal to the rate of dissipation and any other constraint that may be applicable such as incompressibility. We show that the model that is developed exhibits fluid-like characteristics and is incapable of instantaneous elastic response. It also includes Maxwell-like and Kelvin-Voigt-like viscoelastic materials (when certain material moduli take special values).Comment: 18 pages, 5 figure

Changes in Body/Tissue Composition of Rats in Relation to Dietary Protein Levels during Rehabilitation.

Effect of rehabilitation with marginally sub-optimal and adequate levels of dietary protein following a 50 per cent diet restriction for 10 days was studied in adult rats, The data revealed hyperphagia, supernormal weight gain and greater food efficiency in rehabilitated animals which progressively tapered off on days 9 and lO, irrespective of the dietary protein level. However, the values remained slightly higher than their respective controls. The food efficiency ratio and nitrogen balance which followed the above pattern, on the other hand, returned to control levels in the group that was refed 20 percent protein diet. The weights of liver and muscles of 20 per cent protein diet group were higher than those of 10 per cent protein diet group, while the fat pad weight showed a reverse trend. This was observed only in the case of control and rehabilitated animals. The liver lipid and protein concentrations were less in rehabilitated rats as compared to their ad libitum fed counterparts. The carcasses of control as well as rehabilitated animals on 10 per cent protein diet had less moisture and more fat content than those on 20 per cent protein diet. The carcass in 20 per cent protein diet group had a higher protein content. A linear correlation was observed between body weight and body fat, while a reciprocal relationship existed between the body fat and body water regardless of whether the rats were rehabilitated or restricted fed

On Existence of Solutions to the Caputo Type Fractional Order Three-Point Boundary Value Problems

In this paper, we establish the existence of solutions to the fractional order three-point boundary value problems by utilizing Banach contraction principle and Schaefer's fixed point theorem

Automatic Raaga Identification System For Carnatic Music Using Hidden Markov Model

As for as the Human Computer Interactions (HCI) is concerned, there is broad range of applications in the area of research in respective of Automatic Melakarta Raaga Identification in music. The pattern of identification is the main object for which, the basic mathematical tool is utilized. On verification, it is observed that no model is proved consistently and effectively to be predicted in its classification. This paper is, therefore, introduces a procedure for Raaga Identification with the help of Hidden Markov Models (HMM) which is rather an appropriate approach in identifying Melakarta Raagas. This proposed approach is based on the standard speech recognition technology by using Hidden continuous Markov Model. Data is collected from the existing data base for training and testing of the method with due design process relating to Melakarta Raagas. Similarly, to solve the problem of automatic identification of raagas, a suitable approach from the existing database is presented. The system, particularly, this model is based on a Hidden Markov Model enhanced with Pakad string matching algorithm. The entire system is built on top of an automatic note transcriptor. At the end, detailed elucidations of the experiments are given. It clearly indicates the effectiveness and applicability of this method with its intrinsic value and significance

Artificial minds with consciousness and common sense aspects

The research work presented in this article investigates and explains the conceptual mechanisms of consciousness and common-sense thinking of animates. These mechanisms are computationally simulated on artificial agents as strategic rules to analyze and compare the performance of agents in critical and dynamic environments. Awareness and attention to specific parameters that affect the performance of agents specify the consciousness level in agents. Common sense is a set of beliefs that are accepted to be true among a group of agents that are engaged in a common purpose, with or without self-experience. The common sense agents are a kind of conscious agents that are given with few common sense assumptions. The so-created environment has attackers with dependency on agents in the survival-food chain. These attackers create a threat mental state in agents that can affect their conscious and common sense behaviors. The agents are built with a multi-layer cognitive architecture COCOCA (Consciousness and Common sense Cognitive Architecture) with five columns and six layers of cognitive processing of each precept of an agent. The conscious agents self-learn strategies for threat management and energy level maintenance. Experimentation conducted in this research work demonstrates animate-level intelligence in their problem-solving capabilities, decision making and reasoning in critical situations

Cloud enabled 3D tablet design for medical applications

The prime objective of any technological innovation is to improve the life of people. Technological innovation in the field of medical devices directly touches the lives of millions of people; not just patients but doctors and other technicians as well. Serving these care givers is serving humanity. Growth of Mobil Devices and Cloud Computing has changed the way we live and work. We try to bring the benefits of these technological innovations to the medical field via equipment which can improve the working efficiencies and capabilities of the medical professionals and technicians. The improvements in the camera and image processing capabilities of the Mobile Devices coupled with their improved processing power and an infinite processing and storage offered by Cloud Computing infrastructure opens up a window of opportunity to use them in the specialized field like microsurgery. To enable microsurgery, surgeons use optical microscope to zoom into the working area to get better visibility and control. However, these devices suffer from various drawbacks and are not comfortable to use. We build a Tablet with large stereoscopic screen allowing glasses free 3D display enabled by cameras capable of capturing 3D video and enhanced by an image processing pipeline, greatly improves the visibility and viewing comfort of the surgeon. Moreover using the capabilities of Cloud computing, these surgeries can be recorded and streamed live for education, training and consultation. An expert sitting in a geographically remote location can guide the surgeon performing the surgery. All vital parameters of the patient undergoing surgery can be shown as an overlay on the Tablet screen so that the surgeon is alerted of any parameter going beyond limit. Developing this kind of complex device involves engineering skills in hardware and software and huge amount of investments in terms of time, resources and money. To accelerate the development, we make use of open source hardware and software and demonstrate how we can accelerate the development using these open source resources