We present “Tahakum”, an open source, extensible collection of software tools designed to enhance workflow on multichannel audio systems within complex multi-functional research and development environments. Tahakum aims to provide critical functionality required across a broad spectrum of audio systems usage scenarios, while at the same time remaining sufficiently open as to easily support mod...

Several interesting libraries for optimization have been proposed. Some focus on individual algorithms, or limited sets of them, and others problems. Frequently, the implementation one them does not precisely follow formal definition, they are difficult to personalize compare. This makes it perform comparative studies propose novel approaches. In this paper, we solve these issues with General P...

Multi-purpose sensor networks provide an infrastructure that is shared by multiple parties for the execution of concurrent tasks. This setting has direct implications for security: Access to certain sensor nodes and visibility of sensor data has to be restricted to the authorized party. We extend our earlier work on scope based group management for wireless sensor networks with cryptographic me...

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This paper proposes an image watermarking scheme that cater to multiple purposes of copyright protection and fingerprinting. For fingerprinting images, an ID number or a unique code pertaining to the buyer is hidden with in the digital resources at the time of resource transfer. For copyright protection of the resource, a unique signature such as a logo of the owner creator is integrated imperc...

The philosophy of "literate programming" (Knuth 1984), on which the TEI ODD is founded, proposes that code and documentation be written and maintained as a single integrated resource, from which both working programs and readable documentation can be generated. As currently designed, the TEI ODD system supports these goals, and there exist several good examples of extended project documentation...

In this paper, we present a learning technique for determining schedules for general devices that focus on a combination of two objectives. These objectives are user-convenience and gains in energy savings. The proposed learning algorithm is based on Fitted-Q Iteration (FQI) and analyzes the usage and the users of a particular device to decide upon the appropriate profile of start-up and shutdo...

E cient partial parsing systems chunkers are urgently required by various natural language application areas as these parsers always produce partially parsed text even when the text does not fully t existing lexica and grammars Availability of partially parsed corpora is absolutely necessary for extracting various kinds of information that may then be fed into those systems increasing their pro...

The MULTIBOOST package provides a fast C++ implementation of multi-class/multi-label/multitask boosting algorithms. It is based on ADABOOST.MH but it also implements popular cascade classifiers and FILTERBOOST. The package contains common multi-class base learners (stumps, trees, products, Haar filters). Further base learners and strong learners following the boosting paradigm can be easily imp...

VarietyCash is a new electronic money system which strikes a balance between functionality, security, and user privacy. The system can encompass both network and stored-value card based payment mechanisms, with transferability between them, hence the name.