| Title | Date Added | Company | |
|---|---|---|---|
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Improved Hybrid Intelligent Intrusion Detection/Prevention System Using AI Technique. | 2007-05-30 | Universiti Teknologi Malaysia |
| Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model Intelligent Intrusion Detection System, based on specific AI approach for intrusion detection. The techniques that are being investigated include fuzzy logic with network profiling, which uses simple data mining techniques to process the network data. The proposed hybrid system combines anomaly and misuse detection. Simple fuzzy rules, allow to construct if-then rules that reflect common ways of describing security attacks. DARPA dataset is used for training and benchmarking.
Tags: Security Tools, Intrusion Detection Systems |
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Computer Vision on Multi-Core Processors: Articulated Body Tracking | 2007-04-25 | Intel |
| The recent emergence of multi-core processors enables a new trend in the usage of computers. Computer vision applications, which require heavy computation and lots of bandwidth, usually cannot run in real-time. Recent multi-core processors can potentially serve the needs of such workloads. In addition, more advanced algorithms can be developed utilizing the new computation paradigm. This paper studies the performance of an articulated body tracker on multi-core processors. The articulated body tracking workload encapsulates most of the important aspects of a computer vision workload. It takes multiple camera inputs of a scene with a single human object, extracts useful features, and performs statistical inference to find the body pose.
Tags: Processors |
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Dynamic Service Composition in Ambient Intelligence Environments: A Multi-Agent Approach | 0000-00-00 | France Telecom |
| Ambient Intelligence pushes forward a vision where technology is integrated into everyday objects with the intent of turning the users' surrounding environment into a global and simple interface with information systems. This vision poses major challenges in designing systems that smartly adapt their behavior towards smarter interaction with users. This paper exposes how Ambient Intelligence can benefit from the coupling of a service-oriented approach and multi-agent systems towards reconfigurable application that dynamically adapt to users' activities, context and available resources. The approach combines multi-agent technique with semantic services to enable dynamic, context-aware service composition, thus providing users with relevant high level services.
Tags: Web Services, Service-Oriented Architecture |
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Path Prediction Through Data Mining | 2007-02-18 | University of Athens |
| Context-awareness is viewed as one of the most important aspects in the emerging ubiquitous computing paradigm. However, mobile applications are required to operate in pervasive computing environments of dynamic nature. Such applications predict the appropriate context in their environment in order to act efficiently. A context model, which deals with the location prediction of moving users, is proposed. Such model is used for trajectory classification through Machine Learning techniques. Hence, spatial and spatiotemporal context prediction is regarded as context classification based on supervised learning. Finally, two classification schemes are presented, evaluated and compared with other ML schemes in order to support location prediction and decision making.
Tags: Data Mining - Analysis |
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Concept Mapping for Concept Engineering | 0000-00-00 | Personal Memory Manager |
| In task performance support, but especially during learning tasks, reality is first discovered through perception. Perceptual elements (notes), bearing reality's richness, do not recognize this fact until concepts shed some light upon them. This is possible because concepts substantiate their meaning by relating the memorized perceptual elements. Still, however, the person should ascribe an element to a concept or allow a concept to accommodate it. The element thus inherits meanings from contexts produced by different concepts. This paper describes the role of conceptual representations in one's learning from prior knowledge, intuition and conceptual awareness. | |||
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Human-Centered Multimedia | 2006-11-29 | University of Illinois |
| This paper takes a holistic view on the research issues and applications of Human-Centered Multimedia focusing on three main areas - multimodal interaction: visual (body, gaze, gesture) and audio (emotion) analysis; image databases, indexing, and retrieval: context modeling, cultural issues, and machine learning for user-centric approaches; and multimedia data: conceptual analysis at different levels (feature, cognitive, and affective).
Tags: Multimedia |
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Turning the Tide: Why new strategies are urgently needed to counter the surge in online video piracy | 2006-10-17 | Envisional |
| Now that millions of ordinary, non-geeky families are routinely downloading TV shows and movies without a second thought, digital piracy has clearly gone mainstream. These people don't see themselves as criminals. But their changing viewing habits are forcing every film and television company on the planet to shape up and start thinking the unthinkable.
Tags: Online Trading, Sales - Marketing |
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Boxing Clever: How new technology can play a key role in fighting the global counterfeiting boom | 2006-10-17 | Envisional |
| The Internet's reach and anonymity have played a big part in the 100-fold growth of counterfeiting since the 1980s. The web provides a shop window on the world, yet it's impossible to police. Now intelligent automated monitoring technologies are starting to offer powerful online solutions to this rampant online problem.
Tags: Legal, IT Manufacturing, Sales - Marketing |
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Coordinating Microscopic Robots in Viscous Fluids | 2006-10-09 | Hewlett-Packard (HP) |
| Multiagent control provides strategies for aggregating microscopic robots ("Nanorobots") in fluid environments relevant for medical applications. Unlike larger robots, viscous forces and Brownian motion dominate the behavior. Examples range from modified microorganisms programmable bacteria to future robots using ongoing developments in molecular computation, sensors and motors. This paper evaluates controls for locating a cell-sized area emitting a chemical into a moving fluid with parameters corresponding to chemicals released in response to injury or infection in small blood vessels. These control methods are passive Brownian motion, following the chemical concentration gradient, and cooperative behaviors in which some robots use acoustic signals to guide others to the chemical source. | |||
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Guided Artificial Intelligence Protocol / Automated Network Administrator: White Paper | 2006-09-01 | Wiresoft Net |
| The Wiresoft Automated Network Administrator (ANA) implementation represents a significant leap in data processing, heralding the entrance of human-level artificial intelligence capabilities into every area of computer interaction and social function. ANA relies on the Guided Artificial Intelligence Protocol (GAIP) engine to offer under-the-hood Linux management services for Wiresoft products. This paper focuses on the GAIP engine, its origins, its evolution, its current implementation, its methodology for passing the unrestricted Turing test, and its integration into the Wiresoft ANA management service.
Tags: Network Administration |
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