3D MODELLING AND DESIGNING OF DEXTO:EKA:

The presented paper is concerned with designing of a low-cost, easy to use, intuitive interface for the control of a slave anthropomorphic teleo- operated robot. Tele-operator “masters”, that operate in real-time with the robot, have ranged from simple motion capture devices, to more complex force reflective exoskeletal masters. Our general design approach has been to begin with the definition of desired objective behaviours, rather than the use of available components with their predefined technical specifications. With the technical specifications of the components necessary to achieve the desired behaviours defined, the components are either acquired, or in most cases, developed and built. The control system, which includes the operation of feedback approaches, acting in collaboration with physical machinery, is then defined and implemented.

HI-TECH ENERGY METER WITH AUTOMATIC LOAD CONTROL

Now a day’s automation is in every field, although there are many places automation has been emerged and successfully implemented but still the service provider for energy still uses conventional methods for getting the energy consumed by individual customer. This method is very time consuming and un- economical and may lead to human error. Our proposed system (AMR) will automatically send the data of the digital energy meter to the service provider with the help the help of the GSM modem once in a day and hence the system will report the service provider once in a through SMS. The same system can be used to check the last reading consumed by the consumer, when demanded by user through the same GSM modem .The device can also be used to control the load from both the ends that is (user –service provider) with the help of relay circuit and system will also be provided with an LCD display which will update the consumers with different information’s regarding tariff change or sudden power cut .

STUDY OF EFFECT OF SOLID CONTAMINANTS IN THE LUBRICANT ON BALL BEARINGS VIBRATION

In deep groove ball bearings contamination of lubricant grease by solid particles is one of the main reason for early bearing failure. To deal with such problem, it is fundamental not only the use of reliable techniques concerning detection of solid contamination but also the investigation of the effects of certain contaminant characteristics on bearing performance. Nowadays the techniques such as vibration measurements are being increasingly used for on-time monitoring of machinery performance. The present work investigates the effect of lubricant contamination by solid particles on the dynamic behavior of rolling bearings, in order to determine the trends in the amounts of vibration affected by contamination in the Grease and by the bearing wear itself. Experimental tests are performed with Deep-groove ball bearings. The Dolomite powder in three concentration levels and different particle sizes was used to contaminate the grease. Vibration signals were analyzed in terms of Root Mean Square (RMS) values and also in terms of defect frequencies.

METACOGNITION REVEALED COMPUTATIONALLY

This paper focuses on current progress for the understanding of human cognition. Here different models have been considered such as MLP, FLANN, PNN, MLR, and HSN for recognition of one of the state of mind. It is argued that in addition to other models, PSO occupies a prominent place in the future of cognitive science, and that cognitive scientists should play an active role in the process. Baysian Approach in the same context has also discussed. The special case of predicting harm doing in a particular mental state has been experimented taking different models into account in depicting decision making as a process of probabilistic, knowledge-driven inference.

REAL TIME HEALTH MONITORING SYSTEM OF REMOTE PATIENT USING ARM7

Care of critically ill patient, requires spontaneous & accurate decisions so that life-protecting & lifesaving therapy can be properly applied. Statistics reveal that every minute a human is losing his/her life across the globe. More close in India, everyday many lives are affected by heart attacks and more importantly because the patients did not get timely and proper help .This paper is based on monitoring of remote patients, after he is discharged from hospital. I have designed and developed a reliable, energy efficient remote patient monitoring system. It is able to send parameters of patient in real time. It enables the doctors to monitor patient’s parameters (temp, heartbeat, ECG) in real time. Here the parameters of patient are measured continuously (temp, heartbeat, ECG) and wirelessly transmitted using Zigbee.

SPACE VECTOR BASED THREE PHASE GRID CONNECTED PHOTOVOLTAIC SYSTEM

Solar energy has become a very potential new energy; Connected directly with grid-connected photovoltaic (PV) systems does not require bulk and lossy battery. Distributed generation and on-site supply of PV system reduces losses of transmission and distribution, and mitigates environment pollution. This paper establishes a Dynamic model of grid-connected PV system by Matlab/Simulink with d-and q-axis as coordinates which is synchronously rotating with the grid voltage to reflect the characteristics of the system accurately. Based on the accurate modeling system, optimum control and fault analysis are studied. The simulation and analysis verify the effectiveness of the proposed algorithm, and demonstrate that the proposed control system has good static performance.

A NOVEL DESIGN OF SERPENTINE STRUCTURE FOR ENHANCED PERFORMANCE OF MEMS BASED PRESSURE SENSORS

In this work an effective MEMS based capacitive pressure measurement system is proposed. Thepressure sensing element consists of two capacitorplates. Thebottom plate is mechanically fixed, whilethe upper plate is a flexible silicon membrane with flexures. The pressure acts on the upper plate. Avariable separation between the plates is introduced.Maximizing the deflection of the plate is a keyto improve the sensitivity of the sensor. In this paper various flexure designs are studied. A comparison of the flexure sensitivity is made for the automobile tire pressure range.

POLYVINYLIDENE FLUORIDE AND ZINC OXIDE SMART COMPOSITE MATERIAL

This work aimed at fabrication and electromechanical characterization of a smart material system composed of electroactive polymer and ceramic materials. The idea of composite material system is on account of complementary characteristics of the polymer and ceramic for flexibility and piezoelectric activity. Our preliminary work included Polyvinylidene Fluoride (PVDF) as the flexible piezoelectric polymer, and Zinc Oxide (ZnO) as the piezoelectric ceramic brittle, but capable to respond strains without poling. Two alternative processes were investigated. The first process makes use of ZnO fibrous formation achieved by sintering PVA/zinc acetate precursor fibers via electrospinning. Highly brittle fibrous ZnO mat was dipped into a PVDF polymer solution and then pressed to form pellets. The second process employed commercial ZnO nanopowder material. The powder was mixed into a PVDF/acetone polymer solution, and the resultant paste was pressed to form pellets. The free standing composite pellets with electrodes on the top and bottom surfaces were then subjected to sinusoidal electric excitation and response was recorded using a fotonic sensor. An earlier work on electrospun PVDF fiber mats was also summarized here and the electromechanical characterization is reported.

FINITE ELEMENT ANALYSIS OF WELDED JOINTS

Fusion welding is one of the most used methods for joining metals. This method has largely been developed by experiments, i.e. trial and error. The problem of distortion and residual stresses of a structure is due to welding is important to control. Industry where the components are expensive and safety and quality are highly important issues. The aim of the work presented in this paper is to develop an efficient and reliable method for simulation of the welding process using the Finite Element Method. The method may then be used when designing and planning the manufacturer of a component, so that introduction of new components can be made with as little disturbance as possible. When creating a numerical model, the aim is to implement the physical behavior of the process into the model. However, it may be necessary to compromise between accuracy of the model and the required computational time. Different types of simplifications of the problem and more efficient computation methods are discussed. Simulations have been carried out in order to validate the models. Moving heat source and element death & birth technique is used to simulate Welding Process.

FETAL CARDIAC STRUCTURE DETECTION FROM ULTRASOUND SEQUENCES

Fetal heart abnormalities are the most common congenital anomalies and are also the leading cause of infant mortality related to birth defects. More than one-third of all malformations found after delivery are congenital heart defects. The prenatal detection of fetal cardiac structure is difficult because of its small size and rapid movements but is important for the early and effective diagnosis of congenital cardiac defects. A novel method is proposed for the detection of fetal cardiac structure from ultrasound sequences. An initial pre-processing is done to remove noise and enhance the images. An effective K means clustering algorithm is applied to the images to segment the region of interest. Finally an active appearance model is proposed to detect the structure of fetal heart.