Management Information System » research http://www.relifac.com Wed, 14 Jul 2010 22:45:58 +0000 http://wordpress.org/?v=2.8.4 en hourly 1 David Tulloch – Use for Geographic Information Systems http://www.relifac.com/information-system/david-tulloch-use-for-geographic-information-systems http://www.relifac.com/information-system/david-tulloch-use-for-geographic-information-systems#comments Sat, 10 Jul 2010 09:32:17 +0000 admin http://www.relifac.com/information-system/david-tulloch-use-for-geographic-information-systems Dr. David Tulloch discusses how we can use Geographic Information Systems, or GIS, to capture phenomenon on the earth’s landscape and then use this information for both research and policy decisions.

Dr. Tulloch is an Associate Professor of the Department of Landscape Architecture at Rutgers University. He performs his research at the Grant F. Walton Center for Remote Sensing and Spatial Analysis (CRSSA). a unit within the New Jersey Agricultural Experiment Station at Rutgers University. He teaches courses such as The Fundamentals of Environmental Planning and Intermediate Environmental Geomatics.

Duration : 0:5:23


[youtube _C5Sw35JZUc]

]]> http://www.relifac.com/information-system/david-tulloch-use-for-geographic-information-systems/feed 0 Holes In Heaven, HAARP And Advances In Tesla Technology_1/6 http://www.relifac.com/technology-information-system/holes-in-heaven-haarp-and-advances-in-tesla-technology_16 http://www.relifac.com/technology-information-system/holes-in-heaven-haarp-and-advances-in-tesla-technology_16#comments Sat, 10 Jul 2010 09:32:10 +0000 admin http://www.relifac.com/technology-information-system/holes-in-heaven-haarp-and-advances-in-tesla-technology_16 (See my channel for the playlist)
HAARP(High Frequency Active Auroral Research Program)
The project site ( [show location on an interactive map] 62°23′30?N, 145°09′03?W) is north of Gakona, Alaska, just West of the Wrangell-Saint Elias National Park. An environmental impact statement led to permission for an array of up to 180 antennas to be erected. The HAARP has been constructed at the previous site of an over-the-horizon radar installation. A large structure, built to house the OTH now houses the HAARP control room, kitchen, and offices. Several other small structures house various instruments. The Ionospheric Research Instrument (IRI) is the primary instrument at HAARP, which is a high-frequency (HF) transmitter system used to temporarily modify the ionosphere. Study of this modified volume yields important information for understanding natural ionospheric processes.

During active ionospheric research, the signal generated by the transmitter system is delivered to the antenna array, transmitted in an upward direction, and is partially absorbed, at an altitude between 100 to 350 km (depending on operating frequency), in a small volume a few hundred meters thick and a few tens of kilometers in diameter over the site. The intensity of the HF signal in the ionosphere is less than 3 µW/cm², tens of thousands of times less than the Sun’s natural electromagnetic radiation reaching the earth and hundreds of times less than even the normal random variations in intensity of the Sun’s natural ultraviolet (UV) energy which creates the ionosphere. The small effects that are produced, however, can be observed with the sensitive scientific instruments installed at the HAARP facility and these observations can provide new information about the dynamics of plasmas and new insight into the processes of solar-terrestrial interactions.

The HAARP site has been constructed in three distinct phases. The Developmental Prototype (DP) had 18 antenna elements, organized in three columns by six rows. It was fed with a total of 360 kilowatts (kW) combined transmitter output power. The DP transmitted just enough power for the most basic of ionospheric testing.

The Filled Developmental Prototype (FDP) had 48 antenna units arrayed in six columns by eight rows, with 960 kW of transmitter power. It was fairly comparable to other ionospheric heating facilities. This was used for a number of successful scientific experiments and ionospheric exploration campaigns over the years.

The Final IRI (FIRI) will be the final build of the IRI. It has 180 antenna units, organized in 15 columns by 12 rows, yielding a theoretical maximum gain of 31 dB. A total of 3600 kW (3.6 MW) of transmitter power will feed it. The total effective radiated power (ERP) will be 3,981 MW (96 dBW). As of the summer of 2005, all the antennas were in place, but the final quota of transmitters had not yet been installed. As of March 2007, the final phase was completed and the antenna array was undergoing testing aimed at fine-tuning its performance to comply with safety requirements required by regulatory agencies.

Each antenna element consists of a crossed dipole that can be polarized for linear, ordinary mode (O-mode), or extraordinary mode (X-mode) transmission and reception. Each part of the two section crossed dipoles are individually fed from a custom built transmitter, that has been specially designed with very low distortion. The ERP of the IRI is limited by more than a factor of 10 at its lower operating frequencies. Much of this is due to higher antenna losses and a less efficient antenna pattern.

HAARP can transmit between 2.8 and 10 MHz. This frequency range lies above the AM radio broadcast band and well below Citizens’ Band frequency allocations. The HAARP is only licensed to transmit in certain segments of this frequency range, however. When the IRI is transmitting, the bandwidth of the transmitted signal is 100 kHz or less. The IRI can transmit continuously (CW) or pulses as short as 100 microseconds (µs). CW transmission is generally used for ionospheric modification, while short pulses are frequently repeated, and the IRI is used as a radar system. Researchers can run experiments that use both modes of transmission, modifying the ionosphere for a predetermined amount of time, then measuring the decay of modification effects with pulsed transmissions.

Duration : 0:8:27


[youtube dNrL9o7mh-M]

]]> http://www.relifac.com/technology-information-system/holes-in-heaven-haarp-and-advances-in-tesla-technology_16/feed 13 Managing Information Overload @ the Library http://www.relifac.com/is-information-system/managing-information-overload-the-library http://www.relifac.com/is-information-system/managing-information-overload-the-library#comments Fri, 02 Jul 2010 02:50:05 +0000 admin http://www.relifac.com/is-information-system/managing-information-overload-the-library Reference Librarian Paul St-Pierre presents an introduction to MetaLib®. Prior to the Internet the library enjoyed a near monopoly in the provision of scholarly information, and it continues to have higher quality electronic resources than the free web. However, with hundreds of vendors using different systems (Tulane subscribes to 500 databases and 30,000 e-journals), comprehensive information gathering has become more challenging. Thus researchers turn to the simplicity of Google, with its easy interface and guaranteed results of unverified quality. Enter MetaLib®, locally called “Article & Database Finder. Funded by a Technology Services Avenues to Renewal grant, this integrative library technology offers streamlined new ways of finding and managing the best available scholarly sources.

Duration : 0:31:45


[youtube c7Hu8D5Pe0k]

]]> http://www.relifac.com/is-information-system/managing-information-overload-the-library/feed 0 Business Case-Studies, Models and Design Principles http://www.relifac.com/technology-information-system/business-case-studies-models-and-design-principles http://www.relifac.com/technology-information-system/business-case-studies-models-and-design-principles#comments Fri, 04 Jun 2010 23:10:36 +0000 admin http://www.relifac.com/technology-information-system/business-case-studies-models-and-design-principles Dr. J. Sairamesh (Ramesh), Managing Partner at 360Fresh Inc.
In this talk I will cover Service ValueNetworks that have emerged in various Industries (e.g. Manufacturing, Pharma, HealthCare and others) in various forms and shapes over the last decade. The Service ecosystems supporting such value networks are complex and ad-hoc and have varying risk criteria, interconnectivity and risk measurements when compared to more traditional supply-chains and value-chains. Value networks as a research area represent a novel approach to modeling complex enterprise relationships from the perspective of value creation and sharing.

This talk addresses three major challenges of value network-driven enterprise analysis:

(1) unifying the business knowledge of multiple enterprises and their diverse and conflicting objectives in the value network,

(2) sensing the value network and processes through systems design, and

3) analyzing the value offered by multiple service entities in the network based on common goals and metrics.

Biography:
Dr. J. Sairamesh (Ramesh) is currently a Managing Partner at 360Fresh Inc. Previously he was a Manager and Program Leader for Business Solutions and Manufacturing Quality Research at IBM Watson Research, New York. He was one of the functional architects for IBM’s e-business and e-Marketplace products. At IBM, from 2001 to 2007, he helped drive the vision and strategy for business solutions on value-chain management, warranty and enterprise quality in manufacturing (automotive) for IBM. He led a team on early warning solutions, services middleware and end-to-end quality technologies. He has helped incubate and drive three commercial business solutions for IBM’s customers in the areas of Dealer-CRM, Early Warning for Warranty and Supply-Chain Quality. He has numerous US Patents and over 50 research publications. He has won three outstanding innovation awards and a research division award for his eCommerce and Business Solutions work at IBM. He received his M.S., M. Phil.(1992), and Ph.D (1996) from EE and CS at Columbia University.

Duration : 0:54:55


[youtube QnWtGC9DuOg]

]]> http://www.relifac.com/technology-information-system/business-case-studies-models-and-design-principles/feed 12 Secure, Insure, or Ignore? Economics of Information Security http://www.relifac.com/decision-making-information-system/secure-insure-or-ignore-economics-of-information-security http://www.relifac.com/decision-making-information-system/secure-insure-or-ignore-economics-of-information-security#comments Sun, 02 May 2010 10:12:24 +0000 admin http://www.relifac.com/decision-making-information-system/secure-insure-or-ignore-economics-of-information-security John Chuang, Associate Professor, UC Berkeley School of Information

Abstract:
Are we investing too little in information security? Are we investing too much? Since Anderson and Varian posed these questions in 2002, much progress has been made in understanding rational decision-making in information security. In this talk, I will discuss the challenges of applying risk management to security, highlight the public goods nature of interdependent security, explore the tradeoffs between protection and insurance, and motivate a new “weakest target” game to investigate the incentive dynamics of botnets and other classes of attacks.

Bio:
John Chuang is Associate Professor at the School of Information at UC Berkeley. He received a B.S. and M.S. in Electrical Engineering from the University at Southern California and Stanford University respectively, and a Ph.D. in Engineering and Public Policy from Carnegie Mellon University. His research focus is on economics-informed design of computer networks and distributed systems, including incentive mechanisms for peer-to-peer systems, economics of network security, and economics of network architectures.

Duration : 0:46:7


[youtube gDSzHd9U9YU]

]]> http://www.relifac.com/decision-making-information-system/secure-insure-or-ignore-economics-of-information-security/feed 0 Intelligence for the Humanoid Robot ASIMO: A Synthetic Appro http://www.relifac.com/information-systems/intelligence-for-the-humanoid-robot-asimo-a-synthetic-appro http://www.relifac.com/information-systems/intelligence-for-the-humanoid-robot-asimo-a-synthetic-appro#comments Tue, 09 Mar 2010 22:11:17 +0000 admin http://www.relifac.com/information-systems/intelligence-for-the-humanoid-robot-asimo-a-synthetic-appro Intelligence for the Humanoid Robot ASIMO: A Synthetic Approach to Understanding Principles of Processing in the Brain.
I would like to welcome you to the web site of the Honda Research Institute Europe (HRI-EU).

The Honda Research Institute Europe is one of three basic research units Honda inaugurated in a bold and foresighted move in 2003. It is our mission to contribute to the future of our society and thereby to the future of Honda by pursuing emerging technologies.

By translating principles of biological information processing systems into unique and innovative technology, the team at the Honda Research Institute Europe strives towards becoming the Centre of Excellence for Intelligent Systems Research in Honda.

The human brain demonstrates that robustness, functional autonomy and cognition in unconstrained environments are possible. Hence, an understanding of the brain is the most promising way towards the creation of intelligent systems.

In order to understand the brain, we follow an “analysis through synthesis” philosophy. We set the architectural and processing constraints for self-assembly through evolution and learning of the artificial system in interaction with the environment.

To progress from pre-programmed skills to learnt and thereby actively acquired behaviour provides us with the key for a new class of systems: systems whose architecture and dynamics provide the basis for brain-like intelligence.
I hope you enjoy this concise introduction to the work of our institute.
Prof. Dr.-Ing. E. Körner
President
Offenbach, 2007
http://www.honda-ri.de/

Duration : 0:49:22


[youtube 2VkoOeTW6GA]

]]> http://www.relifac.com/information-systems/intelligence-for-the-humanoid-robot-asimo-a-synthetic-appro/feed 22 A Decision Making Framework and Simulator for Sustainable Electric Energy Systems http://www.relifac.com/decision-making-information-system/a-decision-making-framework-and-simulator-for-sustainable-electric-energy-systems http://www.relifac.com/decision-making-information-system/a-decision-making-framework-and-simulator-for-sustainable-electric-energy-systems#comments Sun, 07 Feb 2010 22:55:12 +0000 admin http://www.relifac.com/decision-making-information-system/a-decision-making-framework-and-simulator-for-sustainable-electric-energy-systems Marija Ilic [CMU]
Abstract:
In this talk we describe an IT-enabled decision making framework for cooperative incentives-driven utilization of the existing resources and for sustainable investments in new technologies. We point out that in order to achieve a long-term sustainable energy utilization, it is essential to provide necessary information to internalize the value of just-in-time (JIT), just-in-place (JIP) and just-in-context (JIC) distributed adaptation across the entire supply chain, ranging from the smallest consumers and energy providers, through their aggregators and system coordinators. This would avoid to a large extent technology bias. We illustrate using our model-based novel simulator how a carefully designed multi-directional and multi-temporal information exchange could enable sustainable decision making while accounting for unique needs and capabilities of various resources. At the same time, information would incentivize the resources to contribute to system-wide sustainability objectives at value. We illustrate the dependence of such decisions-driven industry evolution on the industry rules (contextual factors), as well as on the operating and planning practices for implementing the industry rules (temporal and spatial factors). Conceptual simulations are provided to illustrate strong effects of these factors on the long-term industry performance without embedding IT support, and potential improvements by means of carefully designed IT. Our model-based simulator could be used as a means of designing novel regulation defining rules, rights and responsibilities regarding the type and rate of information to be exchanged while inter-operating in support of sustainable industry evolution
Biography:
Marija D. Ilic received her Doctor of Scence Degree in Systems Science at Washington University in St. Louis, MO in 1980. She is currently a Professor at Carnegie Mellon University, Pittsburgh, PA, with a joint appointment in the Electrical and Computer Engineering and Engineering and Public Policy Departments. She is also the Honorary Chaired Professor for Control of Future Electricity Network Operations at Delft University of Technology in Delft, The Netherlands. She was an Assistant Professor at Cornell University, Ithaca, NY, and tenured Associate Professor at the University of Illinois at Urbana-Champaign. She was then a Senior Research Scientist in Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, from 1987 to 2002. She has 30 years of experience in teaching and research in the area of electrical power system modeling and control. Her main interest is in the systems aspects of operations, planning, and economics of the electric power industry. She has co-authored several books in her field of interest. Prof. Ilic is an IEEE Fellow.

Duration : 0:57:30


[youtube j2pD-pSAjIw]

]]> http://www.relifac.com/decision-making-information-system/a-decision-making-framework-and-simulator-for-sustainable-electric-energy-systems/feed 0 Prior, Context and Interactive Computer Vision http://www.relifac.com/knowledge-information-system/prior-context-and-interactive-computer-vision http://www.relifac.com/knowledge-information-system/prior-context-and-interactive-computer-vision#comments Tue, 22 Dec 2009 10:04:07 +0000 admin http://www.relifac.com/knowledge-information-system/prior-context-and-interactive-computer-vision March 2, 2007
For many years, computer vision researchers have worked hard chasing the elusive goals such as “can the robot find a boy in the scene” or “can your vision system automatically segment the cat from the background”. These tasks require a lot of prior knowledge and contextual information. How to incorporate prior knowledge and contextual information into vision systems, however, is very challenging. In this talk, we propose that many difficult vision tasks can only be solved with interactive vision systems, by combining powerful and real-time vision techniques with intuitive and clever user interfaces. I will show two interactive vision systems we developed recently, Lazy Snapping (Siggraph 2004) and Image Completion (Siggraph 2005), where Lazy Snapping cuts out an object with solid boundary using graph cut, while Image Completion recovers unknown region with belief propagation. A key element in designing such interactive systems is how we model the user’s intention using conditional probability (context) and likelihood associated with user interactions. Given how ill-posed most image understanding problems are, I am convinced that interactive computer vision is the paradigm we should focus today’s vision research on.

Duration : 1:1:5


[youtube fWwy2gZuD6E]

]]> http://www.relifac.com/knowledge-information-system/prior-context-and-interactive-computer-vision/feed 1 Information analyst —- UMI Kumaran http://www.relifac.com/knowledge-information-system/information-analyst-umi-kumaran http://www.relifac.com/knowledge-information-system/information-analyst-umi-kumaran#comments Mon, 14 Dec 2009 18:13:05 +0000 admin http://www.relifac.com/knowledge-information-system/information-analyst-umi-kumaran The video provides unique perspectives on knowledge management if used can reward businesses achieve quantum growth and enhanced efficiencies and profitability. Kumaran is an effective information analyst whose analysis and interpretations have significantly assisted individuals and firms to sometimes make drastic changes and enjoy quantum leaps. Kumaran has developed original learning modules on knowledge management that can make organisations to enjoy significant commercial benefits. For more information, please contact:kcsa@aapt.net.au

Duration : 0:7:17


[youtube kLUzaRjYCv0]

]]> http://www.relifac.com/knowledge-information-system/information-analyst-umi-kumaran/feed 3 CITRIS Distinguished Lecture on Intelligent Infrastructure Systems http://www.relifac.com/decision-making-information-system/citris-distinguished-lecture-on-intelligent-infrastructure-systems http://www.relifac.com/decision-making-information-system/citris-distinguished-lecture-on-intelligent-infrastructure-systems#comments Thu, 03 Dec 2009 06:21:06 +0000 admin http://www.relifac.com/decision-making-information-system/citris-distinguished-lecture-on-intelligent-infrastructure-systems Learning, Reasoning, and Intelligence in the Open World: From Principles to Practice
Dr. Eric Horvitz Principal Researcher & Research Area Manager, Microsoft Research

Abstract:
Systems that learn and reason from streams of data promise to provide extraordinary value to people and society. I will discuss directions with harnessing machine perception, learning, and inference in the open world, highlighting key ideas in the context of projects in transportation, energy, healthcare, and communications. After reviewing efforts in several realms, I will reflect on directions regarding the capture and use of data in accordance with the preferences of people about their privacy.

Bio:
Eric Horvitz is a Principal Researcher at Microsoft Research. His interests span theoretical and practical challenges with developing systems that sense, learn, and reason. His contributions include advances in principles of learning and decision making, and the development and fielding of applications in transportation, healthcare, aerospace, information retrieval, and ecommerce. Eric is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and has served as President of the organization. He has also served on the NSF CISE Advisory Board, the DARPA Information Science and Technology Study Group (ISAT), the Naval Research Advisory Committee (NRAC), and the Carnegie-Mellon University Machine Learning Advisory Board. Eric received his PhD and MD degrees at Stanford University. More information can be found at: http://research.microsoft.com/~horvitz

Duration : 1:15:12


[youtube JEDv-p_V7V4]

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