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Title Date Added Company

PSP Hacks: Manage Your Saved Games 2006-01-23 O'Reilly Media

Most hard-core game players know that having multiple file saves can be the key to progressing effectively through a game. All experienced that sinking feeling when a person discovers in level four that one cannot defeat the boss without the magic cap that one doesn't find in level three, and it is much less frustrating to start over from level three than it would be to start over from the beginning or spend a lot of time backtracking.

Tags: Software Engineering, Wireless

PSP Hacks: Create an Infrared Peripheral Interface 2006-01-23 O'Reilly Media

If one is lucky enough to own a Sony PSP capable of running homebrew software, one may have tried out some of the countless emulators and ports of older games out there already. The bad thing is that the user can't play all the old games in two-player mode. Finding a solution for this was actually the motivation to start with this hack. First, it had to avoid any hardware modifications on the PSP itself. Since the PSP already provides infrared and USB ports, this wasn't much of a problem. Secondly, it had to be cheap.

Tags: Cellular Equipment, Mobile - Wireless Communications

Privacy and Identity Management for Everyone 2006-04-04 02:53:00 Association for Computing Machinery

In many cases, profiling of personal data is done without the consent of the target individual. In the past decade, the European Union and its member states have implemented a legal framework to provide guidance on processing of personal data with the specific aim to restore the citizens' control over their data. To complement the legal framework, the PRIME (Privacy and Identity Management for Europe) project has implemented a technical framework for processing personal data. The PRIME project has designed and implemented a practical system-level solution which incorporates novel cryptographic protocols, sophisticated security protocols, and artificial intelligence algorithms. This paper describes the architecture of this system.

Controlling Tiny Multi-Scale Robots for Nerve Repair 2006-01-04 01:01:52 American Association for Artificial Intelligence

This paper describes distributed multi-scale control for axon repair. The simulation outcomes are not sensitive to plausible parameter variation and hence likely give order-of-magnitude clinically-relevant guidelines for repair time and accuracy. Further tuning of the control protocol requires better characterizations of biophysical axon properties, which nanorobots as research tools could help determine. An important extension is evaluating robustness against failures to help access the safety of nanorobot use in medicine.

Multiagent Traffic Management: An Improved Intersection Control Mechanism 2006-05-17 01:00:28 Association for Computing Machinery

Traffic congestion is one of the leading causes of lost productivity and decreased standard of living in urban settings. Recent advances in artificial intelligence suggest vehicle navigation by autonomous agents will be possible in the near future. This paper extends the prototype implementation in several ways with the aim of making it more implementable in the real world. The use of the protocol limits the interaction of the driver agent and the intersection manager to the extent that it is a reasonable approximation of reliable wireless communication.

Working With JBPM: From Workflow Management to Business Intelligence 2005-12-21 01:01:53

The competitive business world demands more efficient technologies to deliver products and services to clients. jBPM, as a workflow engine, offers a way to automatize the business and, therefore, a way to offer more consistency and faster response to customer requests. However, if a company wants to succeed in the new market, it has to optimize its processes and react on time to changes, features that are not provided by a workflow system. The authors' project aims at extending the jBPM platform to support data mining and AI tools that will be used to analyze, monitor and optimize the business process.

Fuzzy Methods in Machine Learning and Data Mining: Status and Prospects 2005-05-03 University of Magdeburg

Over the past years, methods for the automated induction of models and the extraction of interesting patterns from empirical data have attracted considerable attention in the fuzzy set community. This paper briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to machine learning, data mining, and related fields. The paper concludes with a critical consideration of recent developments and some suggestions for future research directions.

Tags: Data Mining - Analysis

Traffic Accident Data Mining Using Machine Learning Paradigms 2004-06-11 Oklahoma State University

Engineers and researchers in the automobile industry have tried to design and build safer automobiles, but traffic accidents are unavoidable. Patterns involved in dangerous crashes could be detected if they develop a prediction model that automatically classifies the type of injury severity of various traffic accidents. These behavioral and roadway patterns are useful in the development of traffic safety control policy. This paper believes that to obtain the greatest possible accident reduction effects with limited budgetary resources, it is important that measures be based on scientific and objective surveys of the causes of accidents and severity of injuries. This paper presents some models to predict the severity of injury that occurred during traffic accidents using three machine-learning approaches.

Tags: Data Mining - Analysis

Sense Disambiguation in PubMed Abstracts Using Text and Data Mining 2002-01-01 Sejong University

Recently, as the size of genetic knowledge grows faster, automated classification of documents in PubMed database has become a critical issue in bio-informatics area. In order to make bio database useful to end users, it should be well organized not only in structure but also semantically, and it all starts with a classification task. Traditionally, classification of texts is done either statistically or using NLP (Natural Language Processing) techniques. Statistical approaches are efficient and fast but usually lack deep understanding, and hence prone to ambiguity errors. Knowledge based NLP techniques, however, are very slow even though the quality of the results is usually better than that of statistical approaches.

Tags: Knowledge and Data Management, Data Mining - Analysis

Chaff: Engineering an Efficient SAT Solver 2006-04-04 03:45:06

The study discussed in this paper has culminated in the development of several SAT packages, both proprietary and in the public domain (e.g. GRASP, SATO) which find significant use in both research and industry. Most existing complete solvers are variants of the Davis-Putnam (DP) search algorithm. This paper describes the development of a new complete solver, Chaff, which achieves significant performance gains through careful engineering of all aspects of the search - especially a particularly efficient implementation of Boolean Constraint Propagation (BCP) and a novel low overhead decision strategy.

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Title	Date Added	Company
PSP Hacks: Manage Your Saved Games	2006-01-23	O'Reilly Media
Most hard-core game players know that having multiple file saves can be the key to progressing effectively through a game. All experienced that sinking feeling when a person discovers in level four that one cannot defeat the boss without the magic cap that one doesn't find in level three, and it is much less frustrating to start over from level three than it would be to start over from the beginning or spend a lot of time backtracking. Tags: Software Engineering, Wireless
PSP Hacks: Create an Infrared Peripheral Interface	2006-01-23	O'Reilly Media
If one is lucky enough to own a Sony PSP capable of running homebrew software, one may have tried out some of the countless emulators and ports of older games out there already. The bad thing is that the user can't play all the old games in two-player mode. Finding a solution for this was actually the motivation to start with this hack. First, it had to avoid any hardware modifications on the PSP itself. Since the PSP already provides infrared and USB ports, this wasn't much of a problem. Secondly, it had to be cheap. Tags: Cellular Equipment, Mobile - Wireless Communications
Privacy and Identity Management for Everyone	2006-04-04 02:53:00	Association for Computing Machinery
In many cases, profiling of personal data is done without the consent of the target individual. In the past decade, the European Union and its member states have implemented a legal framework to provide guidance on processing of personal data with the specific aim to restore the citizens' control over their data. To complement the legal framework, the PRIME (Privacy and Identity Management for Europe) project has implemented a technical framework for processing personal data. The PRIME project has designed and implemented a practical system-level solution which incorporates novel cryptographic protocols, sophisticated security protocols, and artificial intelligence algorithms. This paper describes the architecture of this system.
Controlling Tiny Multi-Scale Robots for Nerve Repair	2006-01-04 01:01:52	American Association for Artificial Intelligence
This paper describes distributed multi-scale control for axon repair. The simulation outcomes are not sensitive to plausible parameter variation and hence likely give order-of-magnitude clinically-relevant guidelines for repair time and accuracy. Further tuning of the control protocol requires better characterizations of biophysical axon properties, which nanorobots as research tools could help determine. An important extension is evaluating robustness against failures to help access the safety of nanorobot use in medicine.
Multiagent Traffic Management: An Improved Intersection Control Mechanism	2006-05-17 01:00:28	Association for Computing Machinery
Traffic congestion is one of the leading causes of lost productivity and decreased standard of living in urban settings. Recent advances in artificial intelligence suggest vehicle navigation by autonomous agents will be possible in the near future. This paper extends the prototype implementation in several ways with the aim of making it more implementable in the real world. The use of the protocol limits the interaction of the driver agent and the intersection manager to the extent that it is a reasonable approximation of reliable wireless communication.
Working With JBPM: From Workflow Management to Business Intelligence	2005-12-21 01:01:53
The competitive business world demands more efficient technologies to deliver products and services to clients. jBPM, as a workflow engine, offers a way to automatize the business and, therefore, a way to offer more consistency and faster response to customer requests. However, if a company wants to succeed in the new market, it has to optimize its processes and react on time to changes, features that are not provided by a workflow system. The authors' project aims at extending the jBPM platform to support data mining and AI tools that will be used to analyze, monitor and optimize the business process.
Fuzzy Methods in Machine Learning and Data Mining: Status and Prospects	2005-05-03	University of Magdeburg
Over the past years, methods for the automated induction of models and the extraction of interesting patterns from empirical data have attracted considerable attention in the fuzzy set community. This paper briefly reviews some typical applications and highlights potential contributions that fuzzy set theory can make to machine learning, data mining, and related fields. The paper concludes with a critical consideration of recent developments and some suggestions for future research directions. Tags: Data Mining - Analysis
Traffic Accident Data Mining Using Machine Learning Paradigms	2004-06-11	Oklahoma State University
Engineers and researchers in the automobile industry have tried to design and build safer automobiles, but traffic accidents are unavoidable. Patterns involved in dangerous crashes could be detected if they develop a prediction model that automatically classifies the type of injury severity of various traffic accidents. These behavioral and roadway patterns are useful in the development of traffic safety control policy. This paper believes that to obtain the greatest possible accident reduction effects with limited budgetary resources, it is important that measures be based on scientific and objective surveys of the causes of accidents and severity of injuries. This paper presents some models to predict the severity of injury that occurred during traffic accidents using three machine-learning approaches. Tags: Data Mining - Analysis
Sense Disambiguation in PubMed Abstracts Using Text and Data Mining	2002-01-01	Sejong University
Recently, as the size of genetic knowledge grows faster, automated classification of documents in PubMed database has become a critical issue in bio-informatics area. In order to make bio database useful to end users, it should be well organized not only in structure but also semantically, and it all starts with a classification task. Traditionally, classification of texts is done either statistically or using NLP (Natural Language Processing) techniques. Statistical approaches are efficient and fast but usually lack deep understanding, and hence prone to ambiguity errors. Knowledge based NLP techniques, however, are very slow even though the quality of the results is usually better than that of statistical approaches. Tags: Knowledge and Data Management, Data Mining - Analysis
Chaff: Engineering an Efficient SAT Solver	2006-04-04 03:45:06
The study discussed in this paper has culminated in the development of several SAT packages, both proprietary and in the public domain (e.g. GRASP, SATO) which find significant use in both research and industry. Most existing complete solvers are variants of the Davis-Putnam (DP) search algorithm. This paper describes the development of a new complete solver, Chaff, which achieves significant performance gains through careful engineering of all aspects of the search - especially a particularly efficient implementation of Boolean Constraint Propagation (BCP) and a novel low overhead decision strategy.