victor jose - Academia.edu (original) (raw)

Papers by victor jose

This paper describes a logical method to enhance security on the grid computing to rest... more This paper describes a logical method to enhance security on the grid computing to restrict the misuse of the grid resources. This method is an economic and efficient one to avoid the usage of the special devices. The security issues, techniques and solutions needed to provide a secure grid computing environment are described. A well defined process for security management among the resource accesses and key holding algorithm is also proposed. In this method, the identity management, access control and authorization and authentication are effectively handled.

Scalable Computing: Practice and Experience, 2019

The increasing complexity of real-time applications presents a challenge to researchers and softw... more The increasing complexity of real-time applications presents a challenge to researchers and software designers. The tasks of these applications usually exchange large volume of data-flows and often need to satisfy real-time constraints. Although the Network on-Chip (NoC) paradigm offers an underlying communication infrastructure that gives more hardware resources, it is unable to safe tasks and data-flows deadlines. In recent works, preemptive wormhole switching with fixed priority has been introduced to meet real-time constraints of real-time applications. However, it suffers some bottleneck such as hardware requirement where none of these works takes account of the number of implemented virtual channels on the router. To alleviate this problem, we propose a novel scheduler for soft real-time data-flows application that takes into account the lack on resource in routers in term of Virtual channels. Experimental results obtained on a benchmark of synthetic and soft real applications...

Induction motors are the most commonly used machine in industry because of their robust nature. E... more Induction motors are the most commonly used machine in industry because of their robust nature. Energy management of induction motor is relevant as they form the bulk segment in industry. So online monitoring and efficiency estimation of the existing induction motors play a vital role in energy management. The air gap torque (AGT) method is a well established technique for determining the efficiency of an induction motor, since it is known to be highly accurate. However, it is considered to be too intrusive for industrial applications. To resolve this, non-intrusive AGT (NAGT) method is adopted here for efficiency estimation. The NAGT method measures only the motor terminal quantities and combines various estimation techniques to determine these parameters in a non-intrusive manner. Speed is measured by using tachometer. Stator resistance is obtained by DC signal injection method. No load losses are assumed empirically as a percentage of rated input power. Stray loss is estimated by...

Induction motors are one of the commonly used electrical machines in industry because of many tec... more Induction motors are one of the commonly used electrical machines in industry because of many technical and economical reasons. They face various stresses during operating conditions leading to some modes of faults. Hence, condition monitoring becomes necessary in order to avoid catastrophic failures. Different fault monitoring techniques for induction motors can be broadly categorized as model based, signal processing based and soft computing techniques. It is difficult to obtain the accurate models of faulty machines and also to apply model based techniques. Soft computing techniques give good analysis of a faulty system even if accurate models are unavailable. These techniques are easy to extend and modify and also give improved performance. Here the different soft computing techniques for fault diagnosis are discussed. A methodology based on Park's Vector approach employing Fuzzy logic and Adaptive Neuro-Fuzzy Inference System (ANFIS) is used to diagnose electrical faults. D...

2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014

ABSTRACT Induction motors are the most commonly used machine in industry because of their robust ... more ABSTRACT Induction motors are the most commonly used machine in industry because of their robust nature.As any other machine, due to the mechanical and electrical stresses, inductionmotor is also subjected to various types of failures. Among these, after bearing faults, stator faults are found to be the most frequent faults in induction motor. Interturn short circuit(ITSC) faults constitute a large percent of all electrical faults and it is theroot cause of all other stator faults. So continuous monitoring of ITSC fault is necessary as rewinding the motor is usually preferred than replacing it. Several techniques have been developed for the detection of stator short circuit faults. But they have limitations due tothe dependence onload variation, machine inherent asymmetry and unbalanced supply voltage. Amongthese a more reliable and simple method for practical implementation is found to bethe symmetrical component method. Negative sequence current method insensitive tosupply voltage unbalance is discussed here. Simulation study is carried out for differentvoltage unbalance. An experimental setup to model stator fault is developed. Also, ahardware setup is developed for on-line fault detection of induction motor.

2013 International Conference on Advanced Computing and Communication Systems, 2013

ABSTRACT Induction motors are one of the commonly used electrical machines in industry because of... more ABSTRACT Induction motors are one of the commonly used electrical machines in industry because of many technical and economical reasons. They face various stresses during operating conditions leading to some modes of faults. Hence, condition monitoring becomes necessary in order to avoid catastrophic failures. Different fault monitoring techniques for induction motors can be broadly categorized as model based, signal processing based and soft computing techniques. It is difficult to obtain the accurate models of faulty machines and also to apply model based techniques. Soft computing techniques give good analysis of a faulty system even if accurate models are unavailable. These techniques are easy to extend and modify and also give improved performance. Here the different soft computing techniques for fault diagnosis are discussed. A methodology based on Park&#39;s Vector approach employing Fuzzy logic and Adaptive Neuro-Fuzzy Inference System (ANFIS) is used to diagnose electrical faults. Different kinds of simulations are carried out corresponding to faults like stator voltage unbalance; stator open phase and stator short-circuit. In addition, a hardware developed for on-line monitoring of induction and the proposed fault diagnosis scheme employed was successfully implemented.

2012 International Conference on Green Technologies (ICGT), 2012

ABSTRACT Energy management of induction motor is relevant as they are the primary consumer of ele... more ABSTRACT Energy management of induction motor is relevant as they are the primary consumer of electricity in the industries. The estimation of efficiency is the primary step in the energy management. Number of efficiency estimation methods were analyzed and compared and airgap torque method is found to be accurate. It was suggested to have non-intrusive methods of testing rather than intrusive methods. The project aims to incorporate sensorless speed estimation by speed observer, resistance estimation by dc signal injection method and losses estimation according to the IEEE standards in the airgap torque method to make this non-intrusive. This method is called modified AGT method. The authenticity of this method is verified by simulations. The experiments were done on a 3phase slip ring induction motor (3.7kW, 415V, 1410rpm, 7.5A, 50Hz).

Medical Principles and Practice, 2013

Objective: The objective of this study was to assess the oral health-related quality of life betw... more Objective: The objective of this study was to assess the oral health-related quality of life between the parents and the teachers of disabled schoolchildren in Kuwait. Subjects and Methods: The three category response version of the General Oral Health Assessment Index (GOHAI) (12 questions, always, sometimes, never) was used in the questionnaires in Kuwait. Three hundred and eight (308) parents and 112 teachers were enrolled in this study. Results: The mean age of the parents was 45 ± 9.9 years and of the teachers 38 ± 8.4 years. The mean GOHAI was 27.2 ± 3.5 among the parents and 27.8 ± 3.3 among the teachers (p = 0.091). GOHAI was higher in the older age groups (p = 0.002) and among the parents with a university education (p < 0.001). GOHAI was also higher with increasing toothbrushing frequency among the parents (p = 0.047) and the teachers (p = 0.003). Altogether, 203 (66%) of the parents and 85 (76%) of the teachers were always able to swallow comfortably; 123 (40%) of the ...

Batiment International, Building Research and Practice, 1990

In any industrial, commercial, and residential area the three top operating expenses are found to... more In any industrial, commercial, and residential area the three top operating expenses are found to be energy, material or machine and labor. If we think to potential cost savings in each of the components, energy would invariably emerge at the top, so efficient use of energy and its conservation is the least cost option in any strategies. On the energy demand and supply side, India is facing severe shortage. 70% of the total petroleum product demand is being met by imports, imposing a heavy burden on foreign exchange. Country is also facing peak power and average electricity shortage of 12% and 7% respectively. An energy study of various sector of commercial industrial and residential area indicates that 5-20% energy can be saved. This paper discusses the common aspects of electrical energy management and various phase of Energy audit to reduce energy requirements and hence, the total cost spent towards energy consumption.

A B S T R A C T This paper describes a new self-destructing data system with an efficient load ba... more A B S T R A C T This paper describes a new self-destructing data system with an efficient load balancing mechanism so that it meets the challenges of privacy management in user data and also provides distributed load managing schemes in a distributed grid environment. To increase the user's data privacy an active storage framework of self-destructing data system is used. Without user intervention, all the data and their copies become destructed or unreadable after a user-specified time and the decryption key is also destructed. The load balancing mechanism called distributed load pairing technique has been used in the system to distribute the files as uniformly as possible among the distributed nodes such that no node manages an excessive number of files and to reduce network traffic by rebalancing the loads of nodes as much as possible. The uploading and downloading algorithms of distributed load pairing is explained and self- destructing data system uploading procedure has als...

Theory and Decision, 2007

Strictly proper scoring rules have been studied widely in statistical decision theory and recentl... more Strictly proper scoring rules have been studied widely in statistical decision theory and recently in experimental economics because of their ability to encourage assessors to honestly provide their true subjective probabilities. In this article, we study the spherical scoring rule by analytically examining some of its properties and providing some new geometric interpretations for this rule. Moreover, we state a theorem which provides an axiomatic characterization for the spherical scoring rule. The objective of this analysis is to provide a better understanding of one of the most commonly available scoring rules, which could aid decision makers in the selection of an appropriate tool for evaluating and assessing probabilistic forecasts.

Scalable Computing: Practice and Experience, 2019

2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives (AICERA/iCMMD), 2014

2013 International Conference on Advanced Computing and Communication Systems, 2013

2012 International Conference on Green Technologies (ICGT), 2012

Medical Principles and Practice, 2013

Batiment International, Building Research and Practice, 1990

Theory and Decision, 2007