4,899 research outputs found
Near field magnetic induction communication link budget: Agbinya-Masihpour model
No full textEven though the link budget for the traditional Radio Frequency-based (RF) communication systems has been explored widely and various RF-channel models have been proposed, neither of those models deal with the Magnetic Induction Communication Systems (NFMIC), which is emerging as a highly advantageous physical layer access method in short range communications. Hence, in this paper we have proposed a NFMIC channel model for the very first time; we call this model Agbinya-Masihpour NFMIC channel model. Based on the proposed model, we have simulated the communication system and examined how the ferrite-cored coil improves the communication range. The simulation results have shown that the permeability of the core material has a crucial impact on enhancing the communication range also reducing the antenna size. ©2010 Crown
Proactive Cellular Network Faults Prediction Through Mobile Intelligent Agent Technology
No full textCellular network faults prediction models using mobile intelligent agent are presented in this paper. Cellular net-works are uncertain and dynamic in their behaviours and therefore we use different artificial intelligent techniques to develop platform independent, autonomous, reasoning and robust agents that can report on any unforeseen anomaly within the cellular network service provider. The specific design and implementation is done using Java Agent DE-velopment Framework (JADE). The partial results ob-tained from the experiments conducted are presented and discussed in this paper
Jane Clayson Johnson (Journalist, Author, and Mother) on Overcoming Depression
No full textEver dealt with depression and felt alone or weak? Join Jane Clayson Johnson (award-winning journalist for her work at CBS, ABC, and NPR; best-selling author of I Am a Mother and Silent Souls Weeping; and an incredible mother) as she talks about her encounter with depression and how others with depression shouldn\u27t feel flawed or trapped
Fusion of Multi-Modal Credentials for Authentication in Digital Identity Management Systems
No full textThe recent years have seen an increase in identity fraud and accessing online services when communication devices such as computers, mobile phones and card based credentials (e.g. credit cards) are involved. This has prompted most governments and business organizations to change the way they do business and manage the user s identity information. However Internet users are vulnerable to identity fraud, which is on the increase and costing the global economy excessive amounts. With the advent of wireless technologies, peer-to-peer communication, GSM networks, it is becoming more challenging to build systems to authenticate users more efficiently. Traditional methods of authenticating a user with passwords and PIN numbers only are slowly proving ineffective since these credentials are easy to guess and steal. This paper proposes a distributed multimodal authentication system as a solution for managing digital identity information on most wireless networks. The proposed system uses artificial intelligence methods and biometrics to improve the security and privacy of users and service providers in a transparent, reliable and efficient way. The system is implemented using a technique of information fusion to combine the user s credentials for optimum recognition and authentication
A digital identity management system
Get PDF>Magister Scientiae - MScThe recent years have seen an increase in the number of users accessing online services using communication devices such as computers, mobile phones and cards based credentials such as credit cards. This has prompted most governments and business organizations to change the way they do business and manage their identity information. The coming of the online services has however made most Internet users vulnerable to identity fraud and theft. This has resulted in a subsequent increase in the number of
reported cases of identity theft and fraud, which is on the increase and costing the global industry excessive amounts. Today with more powerful and effective technologies such as artificial intelligence, wireless communication, mobile storage devices and biometrics, it should be possible to come up with a more effective multi-modal authentication system to help reduce the
cases of identity fraud and theft. A multi-modal digital identity management system is proposed as a solution for managing digital identity information in an effort to reduce the cases of identity fraud and theft seen on most online services today. The proposed system thus uses technologies such as artificial intelligence and biometrics on the current unsecured networks to maintain the security and privacy of users and service providers in a transparent, reliable
and efficient way. In order to be authenticated in the proposed multi-modal authentication system, a user is required to submit more than one credential attribute. An artificial intelligent technology is used to implement a technique of information fusion to combine the user’s credential attributes for optimum recognition. The information fusion engine is then used to implement the required multi-modal authentication system
LGBTI variations in crime reporting: how sexual identity influences decisions to call the cops
Get PDFResearch shows that people vary in their willingness to report crime to police depending on the type of crime experienced, their gender, age, and their race or ethnicity. Whether or not lesbian, gay, bisexual, transgender, and intersex (LGBTI) and heterosexual people vary in their willingness to report crime to the police is not well understood in the extant literature. In this article, I examine variations in LGBTI respondents' attitudes, subjective norms, and perceived behavioral control on their intentions to report crimes to the police. Drawing on a survey of LGBTI individuals sampled from a Gay Pride community event and online LGBTI community forums (N = 329), I use quantitative statistical methods to examine whether LGBTI people's beliefs in police homophobia are also directly associated with the behavioral intention to report crime. Overall, the results indicate that LGBTI and heterosexual people differ significantly in their intention to report crime to the police, and that a belief in police homophobia strongly influences LGBTI people's intention to underreport crime to the police
Modelling of reliable service based operations support system (MORSBOSS)
Get PDFPhilosophiae Doctor - PhDThe underlying theme of this thesis is identification, classification, detection and prediction of cellular network faults using state of the art technologies, methods and algorithms
A digital identity management system
No full text>Magister Scientiae - MScThe recent years have seen an increase in the number of users accessing online services using communication devices such as computers, mobile phones and cards based credentials such as credit cards. This has prompted most governments and business organizations to change the way they do business and manage their identity information. The coming of the online services has however made most Internet users vulnerable to identity fraud and theft. This has resulted in a subsequent increase in the number of
reported cases of identity theft and fraud, which is on the increase and costing the global industry excessive amounts. Today with more powerful and effective technologies such as artificial intelligence, wireless communication, mobile storage devices and biometrics, it should be possible to come up with a more effective multi-modal authentication system to help reduce the
cases of identity fraud and theft. A multi-modal digital identity management system is proposed as a solution for managing digital identity information in an effort to reduce the cases of identity fraud and theft seen on most online services today. The proposed system thus uses technologies such as artificial intelligence and biometrics on the current unsecured networks to maintain the security and privacy of users and service providers in a transparent, reliable
and efficient way. In order to be authenticated in the proposed multi-modal authentication system, a user is required to submit more than one credential attribute. An artificial intelligent technology is used to implement a technique of information fusion to combine the user’s credential attributes for optimum recognition. The information fusion engine is then used to implement the required multi-modal authentication system
Survey of wireless communications applications in the railway industry
Get PDFAdvances in information and communications technology have enabled the adoption of wireless communication techniques in all sectors for the transmission of information in all forms between any two points. Wireless communications and distributed computing have promoted the development of vehicle monitoring systems to reduce the maintenance and inspection requirements of railway systems while maintaining safety and reliability. This paper surveys existing wireless techniques used in the railway industry for both communications and signalling purposes. Finally we present our work in progress on low-cost, low-power wireless sensor networking architecture to monitor the health of railway wagons attached to a moving locomotive
Applied data analytics
No full textThis text provides some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualization systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications. The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial approach and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts
- …
