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Articles 1 - 19 of 19
Full-Text Articles in Business
Risk-Based Critical Infrastructure Protection Priorities For Emp And Solar Storms, George H. Baker Iii
Risk-Based Critical Infrastructure Protection Priorities For Emp And Solar Storms, George H. Baker Iii
George H Baker
The Commission to Assess the Threat to the United States from Electromagnetic Pulse Attack has provided a compelling case for protecting civilian infrastructure against the effects of EMP. As with protecting infrastructure against any hazard, it will be important to take a risk-based priority approach for EMP, recognizing that it is fiscally impracticable to protect everything. In this regard, EMP is particularly challenging in that it interferes with electrical and electronic data, control, transmission, and communication systems organic to nearly all infrastructures in a simultaneous and wide-scale manner. And, for nuclear burst altitudes of 100s of kilometers, the exposed geography …
A Brief Review Of Recent Research Trends On Applications Of Computational And Statistical Techniques In Financial & Business Intelligence, Kuldeep Kumar, Sukanto Bhattacharya
A Brief Review Of Recent Research Trends On Applications Of Computational And Statistical Techniques In Financial & Business Intelligence, Kuldeep Kumar, Sukanto Bhattacharya
Kuldeep Kumar
Artificial neural networks and statistical techniques like decision trees,discriminant analysis, logistic regression and survival analysis play a crucial role in Business Intelligence. These predictive analytical tools exploit patterns found in historical data to make predictions about future events. In this paper we have shown some recent developments of a few of these techniques in financial and business intelligence applications like fraud detection, bankruptcy prediction and credit rating scoring.
The Fall-Out From Emerging Technologies: On Matters Of Surveillance, Social Networks And Suicide, M.G. Michael, Katina Michael
The Fall-Out From Emerging Technologies: On Matters Of Surveillance, Social Networks And Suicide, M.G. Michael, Katina Michael
Professor Katina Michael
No abstract provided.
Bayesian Mixtures Of Autoregressive Models, Sally Wood, Ori Rosen, Robert Kohn
Bayesian Mixtures Of Autoregressive Models, Sally Wood, Ori Rosen, Robert Kohn
Sally Wood
In this paper we propose a class of time-domain models for analyzing possibly nonstationary time series. This class of models is formed as a mixture of time series models, whose mixing weights are a function of time. We consider specifically mixtures of autoregressive models with a common but unknown lag. The model parameters, including the number of mixture components, are estimated via Markov chain Monte Carlo methods. The methodology is illustrated with simulated and real data.
Inference And Retrieval Of Facial Images, Jian Kang Wu, Arcot Desai Narasimhalu, Yew Hock Ang, Chiam Prong Lam, Hean Ho Loh
Inference And Retrieval Of Facial Images, Jian Kang Wu, Arcot Desai Narasimhalu, Yew Hock Ang, Chiam Prong Lam, Hean Ho Loh
Arcot Desai NARASIMHALU
Attempts have been made to extend SQL to work with multimedia databases. We are reserved on the representation ability of extended SQL to cope with the richness in content of multimedia data. In this paper we present an example of a multimedia database system, Computer Aided Facial Image Inference and Retrieval system (CAFIIR). The system stores and manages facial images and criminal records, providing necessary functions for crime identification. We would like to demonstrate some core techniques for multimedia database with CAFIIR system. Firstly, CAFIIR is a integrated system. Besides database management, there are image analysis, image composition, image aging, …
Content-Based Retrieval For Trademark Registration, Jian Kang Wu, Chiam Prong Lam, Babu M. Mehtre, Yunjun Gao, Arcot Desai Narasimhalu
Content-Based Retrieval For Trademark Registration, Jian Kang Wu, Chiam Prong Lam, Babu M. Mehtre, Yunjun Gao, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
With ever increasing number of registered trademarks, the task of trademark office is becoming increasingly difficult to ensure the uniqueness of all trademarks registered. Trademarks are complex patterns consisting of various image and text patterns, called device-mark and word-in-mark respectively. Due to the diversity and complexity of image patterns occurring in trademarks, due to multi-lingual word-in-mark, there is no very successful computerized operating trademark registration system. We have tackled key technical issues: multiple feature extraction methods to capture the shape, similarity of multi-lingual word-in-mark, matching device mark interpretation using fuzzy thesaurus, and fusion of multiple feature measures for conflict trademark …
A Framework For The Integration Of Expert Systems With Multimedia Technologies, Arcot Desai Narasimhalu
A Framework For The Integration Of Expert Systems With Multimedia Technologies, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
Expert system (ES) technology allows the capture and replication of expertise in an application domain. So far, the type of data that is used by an expert system for its reasoning process remains primarily alphanumeric. Image, graphics, and other dynamic data such as voice and video are part of an emerging technology generally termed multimedia technology. This article highlights the critical issues in building a successful application combining the two technologies. Based on these critical issues, it also provides a framework for the integration of multimedia technology with expert systems technology.
Management Of Technology Deployed In Service Innovations, Arcot Desai Narasimhalu
Management Of Technology Deployed In Service Innovations, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
Services form a major portion of the GDP of several nations, especially that of the first world nations. These nations also experience high cost of providing services of different kinds. This has resulted in the displacement of non-customer facing services to countries that can offer them at lower prices. Nations have to be concerned about sustaining their economies even as such off-shoring of services continue to grow. It is therefore important to understand how countries can create those service innovations that will help them retain the growth trajectory of their economies. We believe that the different types of service innovations …
Service Innovation Opportunity Identification, Arcot Desai Narasimhalu
Service Innovation Opportunity Identification, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
No abstract provided.
The Future Of Innovation Is Bright And Shiny As Never Before, Arcot Desai Narasimhalu
The Future Of Innovation Is Bright And Shiny As Never Before, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
This bright shiny future is due to several reasons including better understanding of opportunity identification and innovation management, significant advances in technologies, new economic realities and the shi ing focus to service innovation. Innovation was perceived as an art practised by an exclusive few sitting in an ivory tower of a corporate headquarters of a company. The availability of methods such as Disruptive Innovation, Blue Ocean Strategy and Innovation Rules has empowered ordinary individuals to identify innovation opportunities as never before. This is a sea change in the sheer number of minds searching for the innovation needles in other otherwise …
Multimedia Databases, Arcot Desai Narasimhalu
Multimedia Databases, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
The rapidly growing interest in building multimedia tools and applications has created a need for the development of multimedia database management systems (MMDBMSs) as a tool for efficient organization, storage and retrieval of multimedia objects. We begin with a word about traditional database management systems (DBMSs). Then we present an overview of the MMDBMS research issues, challenges, methods, models, and architectures. We review the state of the art and research contributions from related disciplines. Finally, we consider possibilities and probabilities for MMDBMS research in the future.
Core: A Content-Based Retrieval Engine For Multimedia Databases, Jian Kang Wu, Arcot Desai Narasimhalu, Babu M. Mehtre, Chiam Prong Lam, Yunjun Gao
Core: A Content-Based Retrieval Engine For Multimedia Databases, Jian Kang Wu, Arcot Desai Narasimhalu, Babu M. Mehtre, Chiam Prong Lam, Yunjun Gao
Arcot Desai NARASIMHALU
Rapid advances in multimedia technology necessitate the development of a generic multimedia information system with a powerful retrieval engine for prototyping multimedia applications. We develop a content-based retrieval engine (CORE) that makes use of novel indexing techniques for multimedia object retrieval. We formalize the concepts related to multimedia information systems such as multimedia objects and content-based retrieval. We bring out the requirements and challenges of a multimedia information system. The architecture of CORE is described in detail along with the associated retrieval mechanisms and indexing techniques. Various modules developed for efficient retrieval are presented with some APIs. The efficacy of …
A Method For Monetizing Technology Innovations, Arcot Desai Narasimhalu
A Method For Monetizing Technology Innovations, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
Technology innovations from most universities and research institutes are generally created with no clear path to commercialization in mind. This is largely due to the culture in academic institutions and research institutes whose mission it is to explore the creation of innovations that promise long term benefits. This culture of academic freedom leads to a stockpile of technology innovations at their technology transfer offices (TTOs). These offices are often in a dilemma on how best to monetize the technology innovations that are in their custody. While there have been many social science research methodology based studies on this subject under …
A Maturity Model For Innovation Management, Arcot Desai Narasimhalu
A Maturity Model For Innovation Management, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
No abstract provided.
Redefining Medical Tourism, Arcot Desai Narasimhalu
Redefining Medical Tourism, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
No abstract provided.
Bridging Academic And Industry Innovation Networks, Arcot Desai Narasimhalu
Bridging Academic And Industry Innovation Networks, Arcot Desai Narasimhalu
Arcot Desai NARASIMHALU
No abstract provided.
Rejoinder: Estimation Issues For Copulas Applied To Marketing Data, Peter Danaher, Michael Smith
Rejoinder: Estimation Issues For Copulas Applied To Marketing Data, Peter Danaher, Michael Smith
Michael Stanley Smith
Estimating copula models using Bayesian methods presents some subtle challenges, ranging from specification of the prior to computational tractability. There is also some debate about what is the most appropriate copula to employ from those available. We address these issues here and conclude by discussing further applications of copula models in marketing.
Forecasting Television Ratings, Peter Danaher, Tracey Dagger, Michael Smith
Forecasting Television Ratings, Peter Danaher, Tracey Dagger, Michael Smith
Michael Stanley Smith
Despite the state of flux in media today, television remains the dominant player globally for advertising spend. Since television advertising time is purchased on the basis of projected future ratings, and ad costs have skyrocketed, there is increasing pressure to forecast television ratings accurately. Previous forecasting methods are not generally very reliable and many have not been validated, but more distressingly, none have been tested in today’s multichannel environment. In this study we compare 8 different forecasting models, ranging from a naïve empirical method to a state-of-the-art Bayesian model-averaging method. Our data come from a recent time period, 2004-2008 in …
An Autoregressive Approach To House Price Modeling, Chaitra Nagaraja, Lawrence Brown, Linda Zhao
An Autoregressive Approach To House Price Modeling, Chaitra Nagaraja, Lawrence Brown, Linda Zhao
Chaitra H Nagaraja
No abstract provided.