Face-pose estimation aims at estimating the gazing direction with two-dimensional face images. It gives important communicative information and visual saliency. However, it is challenging because of lights, background, orientations, appearance visibility. Therefore, a descriptive representation images mapping to poses are critical. In this paper, we use multimodal data propose novel face-pose framework named multitask manifold deep learning ( <inline-formula...

Low-power sensing technologies have emerged for acquiring physiologically indicative patient signals. However, to enable devices with high clinical value, a critical requirement is the ability analyze signals extract specific medical information. Yet given complexities of underlying processes, signal analysis poses numerous challenges. Data-driven methods based on machine learning offer distinct solutions, but unfortunately computations are not well supported by traditional DSP. This paper...

The goal of digital preservation is to ensure long-term access digitally stored information.In this paper, we present a survey techniques used in preservation.We also introduce representative projects and case studies that provide insight into the advantages disadvantages different strategies.Finally, pros cons current strategies, critical issues for preservation, future directions are discussed.

News recommendation systems? purpose is to tackle the immense amount of news and offer personalized recommendations users. A major issue in capture precise representations for efficacy recommended items. Commonly, contents are filled with well-known entities different types. However, existing systems overlook exploiting external knowledge about topical relatedness among news. To cope above problem, this paper, we propose Topic-Enriched Knowledge Graph Recommendation System(TEKGR). Three...

<?Pub Dtl=""?> Compressive sensing has been used to overcome communication constraints (energy and bandwidth) in low-power sensors. In this work, we present a seizure-detection processor that directly uses compressively-sensed electroencephalograms (EEGs) for embedded signal analysis. addition addressing communication, two advantages local computation. First, with compressive sensing, reconstruction costs are typically severe, precluding analysis; analyzing the compressed signals circumvents...

To share and publish the domain knowledge of IoT objects, development a semantic model based directory system that manages meta-data relationships objects is required. Many researches focus on static between objects. However, because complex various resources change with time in an environment, efficient method for updating Thus, we propose IoT-DS as supports description, discovery, integration Firstly, introduce component to establish shared conceptualization. Secondly, present general...

In the ubiquitous era, for Web services to become a universal communication paradigm, mobile devices enabled with should be considered as an equal participant of service-oriented architecture. Here, play role clients, providers, or even brokers. To establish distributed application framework on P2P network environment, this paper presents light-weight hosting devices. The proposed contains several built-in functionalities such processing SOAP messages, execution and migration services,...

The Internet of Things (IoT) is a paradigm where real-world entities can be connected to the and provide services with help attached devices. With development IoT technologies, number devices deployed around world as well their are increasing rapidly. Thus, selecting an appropriate service which satisfies user's requirements from such many becomes time consuming challenge. Therefore, address this issue we propose Physical Service Model (PSM) describe heterogeneous physical services. PSM...

Fog computing is a promising paradigm in terms of extending cloud to an edge network. In broad sense, fog Internet-of-Vehicles(IoV) provides low-latency services since nodes are closely located with moving cars and locally distributed. this paper, we propose architecture based on publish/subscribe model. After that, describe traffic congestion control scenario using smart light system which operates top the proposed architecture. Furthermore, upper-level domain ontology order enhance...

We present an approach for overcoming computational errors at run time that originate from static hardware faults in digital processors. The is based on embedded machine-learning stages learn and model the statistics of outputs presence errors, resulting error-aware analysis. demonstrate, hardware, two systems analyzing sensor data: 1) EEG-based seizure detector 2) ECG-based cardiac arrhythmia detector. use a small kernel fault-free (constituting <;7.0% <;31% total areas respectively) to...

With the wide spread of Web services, there is a growing interest in semantic services based on ontologies, which support automated discovery, selection, and composition services. OWL-S <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">de facto</i> standard ontology for describing semantics Due to complexity grammar, it difficult construct descriptions manually. This paper presents an efficient model-driven approach generate ontologies from Unified...