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Full-Text Articles in Physical Sciences and Mathematics

A Tool For Designing Business Model Innovations, Arcot Desai Narasimhalu Jun 2014

A Tool For Designing Business Model Innovations, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

There is a steady stream of business model innovations created to deliver value to customers using new approaches. Famous examples of business model innovations have been Amazon, Dell computers and Starbucks. Several other examples of business model innovations have been created across industries and reported in popular and academic forums. Osterwalder and Pigneur had defined a business model canvas as a framework for analysing business models. They had defined nine key subcomponents of a business model. Companies and individual entrepreneurs who wish to create business model innovations are still deploying trial and error approaches to discovering new business models. There …


Consumer Driven Innovation Management, Arcot Desai Narasimhalu, Shekhar Mitra Apr 2013

Consumer Driven Innovation Management, Arcot Desai Narasimhalu, Shekhar Mitra

Arcot Desai NARASIMHALU

The evolution of human society leads to increased affluence and prosperity of certain populations, sometimes at the expense of well-established markets. Market leaders in products and services tend to be so focused on their current customer base that they are caught off guard with the changes in markets created by the evolution. These changes often go unnoticed until it is too late. The change in customer base often requires the repositioning of products and services through innovations, which address new and emerging markets. Some of these changes could potentially result in tectonic market shifts that force innovation managers to involve …


Innovation Rules: A Step By Step Approach Towards Identifying New Innovation Opportunities, Arcot Desai Narasimhalu Jul 2012

Innovation Rules: A Step By Step Approach Towards Identifying New Innovation Opportunities, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

No abstract provided.


International Ict Research Collaboration: Experiences And Recommendations, Erich Prem, Emma Barron, Arcot Desai Narasimhalu, Ian Morgan Jul 2012

International Ict Research Collaboration: Experiences And Recommendations, Erich Prem, Emma Barron, Arcot Desai Narasimhalu, Ian Morgan

Arcot Desai NARASIMHALU

This paper presents results of a study into the collaboration experiences of researchers. The focus is on long-distance collaboration in information and communication technologies (ICT) research and technology development, i.e. between the EU on the one side and Australia, Singapore or New Zealand on the other. The aim of the study was to provide useful recommendations for researchers who engage in international collaboration and to improve the quality of international co-operation projects. The emphasis here is on the views and experiences of Europe"s international partners. The paper analysis collaboration motives, challenges, co-operation types and provides recommendations for project initiation, networking, …


Managing Successful Innovation Delivery, Arcot Desai Narasimhalu Jul 2012

Managing Successful Innovation Delivery, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

No abstract provided.


Strategies For European Ict Rtd Collaboration With Australia And Singapore, Arcot Desai Narasimhalu, Narayanasamy Ramasubbu, Alex, Tai Loong Tan, Eric Prem, Ian Morgan, Ashley Stewart, Emma Baron, Dana Sanchez Jul 2012

Strategies For European Ict Rtd Collaboration With Australia And Singapore, Arcot Desai Narasimhalu, Narayanasamy Ramasubbu, Alex, Tai Loong Tan, Eric Prem, Ian Morgan, Ashley Stewart, Emma Baron, Dana Sanchez

Arcot Desai NARASIMHALU

No abstract provided.


Inference And Retrieval Of Facial Images, Jian Kang Wu, Arcot Desai Narasimhalu, Yew Hock Ang, Chiam Prong Lam, Hean Ho Loh Jan 2011

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 Jan 2011

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 …


The Implementation Of A Visual Language Interface For An Object-Oriented Multi-Media Database System, Mun Kew Leong, Boon-Siong Choo, Chun-Hong Kok, Jyh-Jang Lim, Arcot Desai Narasimhalu Jan 2011

The Implementation Of A Visual Language Interface For An Object-Oriented Multi-Media Database System, Mun Kew Leong, Boon-Siong Choo, Chun-Hong Kok, Jyh-Jang Lim, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

This paper documents the ongoing implementation of the VILD visual language interface to the object-oriented multimedia database system, MDBMS. We set forth the infrastructure on which VILD has been developed, and describe in detail the three sections of the language system which have been completed: the Schema Editor to define the database, the Frame Editor to edit and enter data, and the Browser to view the data. We conclude with the query implementation of VILD.


A Framework For The Integration Of Expert Systems With Multimedia Technologies, Arcot Desai Narasimhalu Jan 2011

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 Jan 2011

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 Jan 2011

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 Jan 2011

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 …


Benchmarking Multimedia Databases, Arcot Desai Narasimhalu, Mohan S. Kankanhalli, Kang Wu Jian Jan 2011

Benchmarking Multimedia Databases, Arcot Desai Narasimhalu, Mohan S. Kankanhalli, Kang Wu Jian

Arcot Desai NARASIMHALU

Multimedia technologies are being adopted both in the professional and commercial world with great enthusiasm. This has led to a significant interest in the research and development of multimedia databases. However, none of these efforts have really addressed the issues related to the benchmarking of multimedia databases. We analyze the problem of benchmarking multimedia databases in this paper and suggest a methodology


Colour Matching For Imaging Retrieval, Babu M. Mehtre, Mohan S. Kankanhalli, Arcot Desai Narasimhalu, Guo Chang Man Jan 2011

Colour Matching For Imaging Retrieval, Babu M. Mehtre, Mohan S. Kankanhalli, Arcot Desai Narasimhalu, Guo Chang Man

Arcot Desai NARASIMHALU

Color is an important attribute for image matching and retrieval. We present two new color matching methods, the Reference Color Table Method and a Distance Method, for image retrieval. Both these methods and an existing method Histogram Intersection were implemented and tested for a database size of 170 color images. To compare the efficacy of each method, a figure of merit, called Efficiency of Retrieval, is defined. The results show that both the new methods perform better than the existing method, and that the Reference Color Table Method gives the best results.


Multimedia Databases, Arcot Desai Narasimhalu Jan 2011

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 Jan 2011

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 Jan 2011

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 Jan 2011

A Maturity Model For Innovation Management, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

No abstract provided.


Fuzzy Content-Based Retrieval In Image Databases, Kang Wu Jian, Arcot Desai Narasimhalu Jan 2011

Fuzzy Content-Based Retrieval In Image Databases, Kang Wu Jian, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

Image data are inherently visual. The description of visual characteristics of images are imprecise. Fuzzy retrieval of images stored in a feature-based image database is a natural means to access the data. Unfortunately, to the authors knowledge, little work has been done on fuzzy image database models and fuzzy retrieval of feature-based image databases. In this paper, a fuzzy image database model and a concept of fuzzy space are proposed and fuzzy query processing in fuzzy space and fuzzy indexing on complex fuzzy vectors are described. An example image database, the computer-aided facial image inference and retrieval system (CAFIIR), is …


Facial Identification System Using Multiple Retrievals Techniques, Jian Kang Wu, Arcot Desai Narasimhalu Jan 2011

Facial Identification System Using Multiple Retrievals Techniques, Jian Kang Wu, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

During a police investigation, officers often have to sort through hundreds of photographs to identify a suspect. To aid this task, we at the Institute of Systems Science developed and implemented a flexible database system that can retrieve faces using personal information, fuzzy and free-text descriptors, and classification trees.


Redefining Medical Tourism, Arcot Desai Narasimhalu Jan 2011

Redefining Medical Tourism, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

No abstract provided.


Bridging Academic And Industry Innovation Networks, Arcot Desai Narasimhalu Jan 2011

Bridging Academic And Industry Innovation Networks, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

No abstract provided.


A Framework For Technology Transfer, Arcot Desai Narasimhalu Jul 2009

A Framework For Technology Transfer, Arcot Desai Narasimhalu

Arcot Desai NARASIMHALU

Technology transfer is often perceived to be transfer of intellectual property (IP). Very few realize that there are other means of transferring technology. Most common means of technology transfer is the transfer of the IP alone. While this is interesting in itself, it is not the best means of transferring technology in all cases. IP such as patents, trademark and copyrighted material can easily be transferred in this manner. However, that is the lowest level of technology transfer possible. The next level of technology transfer is the ability to handover technology from the originating team to the recipient team. This …