Answer Set Programming Modulo Theories is a new framework of tight integration of answer set programming (ASP) and satisfiability modulo theories (SMT). Similar to the relationship between first-order logic and SMT, i...
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ISBN:
(纸本)9781577356332
Answer Set Programming Modulo Theories is a new framework of tight integration of answer set programming (ASP) and satisfiability modulo theories (SMT). Similar to the relationship between first-order logic and SMT, it is based on a recent proposal of the functional stable model semantics by fixing interpretations of background theories. Analogously to a known relationship between ASP and SAT, "tight" ASPMT programs can be translated into SMT instances. We demonstrate the usefulness of ASPMT by enhancing action language C+ to handle continuous changes as well as discrete changes. We reformulate the semantics of C+ in terms of ASPMT, and show that SMT solvers can be used to compute the language. We also show how the language can represent cumulative effects on continuous resources.
This paper introduces our dedicated authenticated encryption scheme ICEPOLE. ICEPOLE is a high-speed hardware-oriented scheme, suitable for high-throughput network nodes or generally any environment where specialized ...
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Low rank matrix completion has been applied successfully in a wide range of machine learning applications, such as collaborative filtering, image inpainting and Microarray data imputation. However, many existing algor...
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Online healthcare forums are one of the major social media in Health 2.0 for patients and caregivers to share personal experience and to help each other. However, current forums do not support effective information se...
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We present Version 2 of system Cplus2ASP, which implements the definite fragment of action language C+. Its input language is fully compatible with the language of the Causal Calculator Version 2, but the new system i...
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We have proposed a novel solution to a fundamental problem encountered in implementing non-ingestion based medical adherence monitoring systems, namely, how to reliably identify pill medication intake. We show how wir...
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ISBN:
(纸本)9781424479276
We have proposed a novel solution to a fundamental problem encountered in implementing non-ingestion based medical adherence monitoring systems, namely, how to reliably identify pill medication intake. We show how wireless wearable devices with tri-axial accelerometer can be used to detect and classify hand gestures of users during solid-phase medication intake. Two devices were worn on the wrists of each user. Users were asked to perform two activities in the way that is natural and most comfortable to them: (1) taking empty gelatin capsules with water, and (2) drinking water and wiping mouth. 25 users participated in this study. The signals obtained from the devices were filtered and the patterns were identified using dynamic time warping algorithm. Using hand gesture signals, we achieved 84.17 percent true positive rate and 13.33 percent false alarm rate, thus demonstrating that the hand gestures could be used to effectively identify pill taking activity.
Cloud storage provides a virtually unlimited storage spaces for customers. Customers can combine their data storages from different types of cloud storage following their own requirements. End customers often stuck in...
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ISBN:
(纸本)9781467350686
Cloud storage provides a virtually unlimited storage spaces for customers. Customers can combine their data storages from different types of cloud storage following their own requirements. End customers often stuck in choosing desirable configuration from different types of cloud storage. How to spend the minimum costs on using the highly efficient cloud storage? How to balance the relationship between the expenditures and performance? This paper proposes a cost-effective optimal configuration model using the repeated game model that can provide optimal configuration solutions to customers. The data mining techniques are used in provisioning on cloud storage. Classification helps users to find the related data and trend analysis assists users to mine the future trend on data storage. A simulate experiment is discussed and verify the correctness of the proposed model.
In this paper we will describe the NL2KR system that translates natural language sentences to a targeted knowledge representation formalism. The system starts with an initial lexicon and learns meaning of new words fr...
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In this paper we will describe the NL2KR system that translates natural language sentences to a targeted knowledge representation formalism. The system starts with an initial lexicon and learns meaning of new words from a given set of examples of sentences and their translations. We will describe the first release of our system with several examples.
To date, the majority of learning technologies only afford virtual interactions on desktops or tablets, despite evidence that students learn through physical manipulation of their environment. We implemented a tangibl...
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The majority of educational software is designed for traditional com- puters, which allow little opportunity for physical manipulation of an environ- ment. Tangible Activities for Geometry (TAG) provides students a ta...
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The majority of educational software is designed for traditional com- puters, which allow little opportunity for physical manipulation of an environ- ment. Tangible Activities for Geometry (TAG) provides students a tangible learning environment. Currently, however, TAG does not employ adaptive scaf- folding techniques. Accordingly, we describe how scaffolding techniques and teachable agent behaviors can be integrated into TAG to improve this tangible learning environment.
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