Volume 6 | Issue 2 |

 Abstract

This paper consists of the description of what Single Sign-On (SSO) is, how it works and the different protocols used in it. It portrays the description of Single Sign On (SSO) and how it works. It also compares the different types of SSO and where it can be deployed. It illustrates the different protocols used in SSO which are OpenID, SAML, BrowserID, and Kerberos. The paper gives an outlook on the various security issues involved in SSO. It presents the difference between PKI-based and Token-based protocol.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

OpenID, OAuth, Kerberos, SAML, BrowserID

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper is focused on comparative study of two algorithms for face recognition: Principle Component Analysis (PCA) and Artificial Neural Network (ANN). Simulation results show that principle component analysis where eigenface algorithm is used as essentially a minimum distance classifier, works well when illumination variation is small. Here, recognition is done by putting a test image onto the face space spanned by the eigen faces and by measuring minimum Euclidean distance. In ANN algorithm, learning process of neurons is used to train the input face to minimize the error. Face recognition using ANN algorithm shows good accuracy and success rate even for different illumination condition.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face Recognition, PCA, Artificial Neural Network, Eigen Faces, Neurons

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main objective of this paper is to reduce the Common Mode Voltage (CMV) in the Diode Clamped Multilevel Inverter (DCMLI).Three phase Y-connected RL load is connected to DCMLI. The common mode voltage exists between neutral point of Y-connected load and system ground.CMV causes premature failure of bearings of induction motor and is essential to reduce. In this paper, Alternative Phase Opposition Disposition SPWM technique is used to reduce common mode voltage. Two level, five level, seven level and nine level DCMLI are compared in terms of THD and CMV.The effect of a passive LC filter on THD was studied. The simulation of circuit is carried out by using MATLAB/Simulink. Simulation result portrays reduction in THD and CMV by using APOD-SPWM controlled higher level Inverters.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CMV, THD, APOD SPWM, DCMLI

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In wide fan-in dynamic multiplexers, the two phase evaluate-precharge operation leads to high switching activity at the dynamic and the output nodes introducing a significant power penalty. To address this issue, the switching-aware design techniques are being explored but these existing techniques suffer from design inflexibilities. Dynamic gates are inherently less resistant to noises than static CMOS gates. In this paper, we propose a pulse domino switching-aware technique, called SSPD, to reduce the overall power consumption of a wide fan-in dynamic gate by having static-like switching behavior at the dynamic node, and the gate input/output terminals. A conditional pulse generator is also proposed, which enables the SSPD multiplexers to be easily adapted to a wide set of noise and delay specifications. Simulation results of 16-bit and 32-bit dynamic multiplexers designed and simulated in a 1.2-V 90-nm CMOS process show that the SSPD technique can reduce the average power by up to 21% and 36%, respectively, when compared to the conventional footless domino technique. This circuit can easily be designed to meet a wide range of power dissipation and noise specifications.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Dynamic gates, Pulse domino, Switching behavior, Power consumption, Delay

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pyrolysis, Catalyst, Bacl2, Bio-Fuel

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Face recognition is a broadly researched topic by researchers from differing disciplines. Several unsupervised statistical feature extraction strategies have been used in face recognition, out of these in this paper I propose a robust face recognition system using Gabor filter with PCA approach. The proposed system was tested on two famous face recognition databases, namely ORL and faces 94 having face recognition rates of 81.72% and 97.30% were obtained respectively. The parameters which we are considered are recognition rate and speed with varying number of training and testing images.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Face recognition, Eigen faces, PCA, Preprocessing techniques, Gabor filter and feature extraction.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Value Engineering, unnecessary cost, energy consumption, HVAC system

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Critical Literature Review on “Building Information Modeling (BIM) - Based Dynamic Inventory Control Model for Material Management in Construction Industry”

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Building Information Modelling (BIM), 3D, 4D, Inventory Management, Optimization

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Data mining has evolved into a vital and active area of research because of theoretical challenges and practical applications associated with the problem of discovering (or extracting) interesting and previously unknown knowledge from very large real-world databases. Many aspects of data mining have been investigated in several related fields. The last decade had experienced a revolution in the information availability and exchange via the internet. The main aim of the research is decision making approach to take right decision for design and development of classification and clustering techniques of data mining system. Regarding the classification and clustering algorithm, we rely on Upgraded Random Forest classification algorithm and EAHC with Farthest First Clustering as a greedy classification method. Using this method, several approaches are proposed to work on binary and multiclass scenarios. The proposed system gives better classification and clustering performance when compared to other popular algorithms.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Mining, Classification, Clustering, Farthest First Algorithm, EAHC Clustering Algorithm.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The issue of child labour is not a new concept in the Indian context. The present paper examines the situation of child labour in India as inferred from recent empirical studies. Further, the paper analyses the determinants of child labour in the country. Despite the countless policies and programmes launched to address the issue, the resultant dent caused in the numbers is very meagre. As the child gets older, income effects become more important determinants of child labour than the costs of education. Children are continued to be exploited and abused because the State and people do not address children's issues comprehensively and effectively. There is clearly an urgent need for a set of additional policies and programmes to help contain the issue of child labour. The paper reviews and suggests certain proposals for the development of more effective coping strategies, policies and programs to address the issue. The current paper adds a practical, actionable implication for the academicians, professionals working in the industry and government authorities to deal with the issue. Empowering communities with the knowledge to demand for proper implementation of employment schemes, food security and access to all government provisions would help to reduce instances of child labour.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Empower, Determinants, Employment schemes

  License

Creative Commons Attribution 4.0 and The Open Definition