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1. Secure access control and large scale robust representation for online multimedia event detection.

Author

Liu C, Lu B, and Li H

Subjects
Computer Security, Multimedia, Online Systems
Abstract

We developed an online multimedia event detection (MED) system. However, there are a secure access control issue and a large scale robust representation issue when we want to integrate traditional event detection algorithms into the online environment. For the first issue, we proposed a tree proxy-based and service-oriented access control (TPSAC) model based on the traditional role based access control model. Verification experiments were conducted on the CloudSim simulation platform, and the results showed that the TPSAC model is suitable for the access control of dynamic online environments. For the second issue, inspired by the object-bank scene descriptor, we proposed a 1000-object-bank (1000OBK) event descriptor. Feature vectors of the 1000OBK were extracted from response pyramids of 1000 generic object detectors which were trained on standard annotated image datasets, such as the ImageNet dataset. A spatial bag of words tiling approach was then adopted to encode these feature vectors for bridging the gap between the objects and events. Furthermore, we performed experiments in the context of event classification on the challenging TRECVID MED 2012 dataset, and the results showed that the robust 1000OBK event descriptor outperforms the state-of-the-art approaches.

Published
2014
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2. User Acceptance of Voice Recognition Technology

Author

Steven John Simon and David Paper

Subjects
Human-Computer Interaction, Extension (metaphysics), Multimedia, Human–computer interaction, Computer science, Strategy and Management, Technology acceptance model, computer.software_genre, computer, Computer Science Applications
Abstract

Voice recognition technology-enabled devices possess extraordinary growth potential, yet some research indicates that organizations and consumers are resisting their adoption. This study investigates the implementation of a voice recognition device in the United States Navy. Grounded in the social psychology and information systems literature, the researchers adapted instruments and developed a tool to explain technology adoption in this environment. Using factor analysis and structural equation modeling, analysis of data from the 270 participants explained almost 90% of the variance in the model. This research adapts the technology acceptance model by adding elements of the theory of planned behavior, providing researchers and practitioners with a valuable instrument to predict technology adoption.

Published
2007

3. IMPROVING ADAPTIVE LEARNING IN A SMART LEARNING ENVIRONMENT

Author

Gilberto Marzano, Yeliz Nur, Anda Abuze, and This paper has been supported by the board of Science of Latvia within the scope of the project 'Implementation of Transformative Digital Learning in Doctoral Program of Pedagogical Science in Latvia' (DocTDLL) lzp-2018/2-0180 and by the ASL project co-funded by the Erasmus + Programme of the European Union (Adult self-learning: supporting learning autonomy in a technology-mediated environment, reference number 2019-1-TR01-KA204-076875). The views expressed reflect those of the authors alone.

Subjects
Structure (mathematical logic), Multimedia, Computer science, Learning analytics, Attendance, Personalized learning, Employability, computer.software_genre, Learning Adaptivity, Learning Analytics, Learning Unit Structure, Smart Learning Environment, ComputingMilieux_COMPUTERSANDEDUCATION, Adaptive learning, Digital learning, Reduced cost, computer
Abstract

It has been broadly argued that, in the near future, the demand for skilled labor will increase whilst that for routine activities will decrease. In this regard, the need for making greater investments in education to re-skill workers and support continuous learning has been invoked as an essential requirement for preserving people’s employability.Digital technology is deemed increasingly necessary to sustain the educational endeavor, for the possibilities it offers to make more accessible and low-cost educational interventions. It allows for the creation of personalized learning paths and customized digital learning solutions, for courses to be available to a large attendance of learners, and for teaching-learning activities to be offered at significantly reduced cost.In this article, a learning unit structure designed to improve adaptive learning is proposed, and mechanisms for adaptive learning in a smart learning environment are discussed.The implemented teaching-learning solution is also illustrated. This is a preliminary application based on an approach that combines the teacher experience with learning analytics.

Published
2021

4. ROS-based online robot programming for remote education and training

Author

Enric Cervera, Gustavo A. Casañ, Jaime Alemany, Amine Abou Moughlbay, Philippe Martinet, Robotic Intelligence Lab, Universitat Jaume I, Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN), Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN), Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS), and This paper describes research done at the Robotic Intelligence Laboratory, with support in part by Ministerio de Economia y Competitividad (DPI2011-27846), by Generalitat Valenciana (PROMETEOII/2014/028), by Universitat Jaume I (P1-1B2014-52), and by IEEE RAS under a CEMRA grant (Creation of Educational Materials for Robotics and Automation).

Subjects
Flexibility (engineering), Engineering, Multimedia, business.industry, Process (computing), Context (language use), computer.software_genre, [SPI.AUTO]Engineering Sciences [physics]/Automatic, Human–computer interaction, Server, Information system, Code (cryptography), Robot, The Internet, business, computer
Abstract

International audience; RPN (Robotic Programming Network) is an initiative to bring existing remote robot laboratories to a new dimension, by adding the flexibility and power of writing ROS code in an Internet browser and running it in the remote robot with a single click. The code is executed in the robot server at full speed, i.e. without any communication delay, and the output of the process is returned back. Built upon Robot Web Tools, RPN works out-of-the-box in any ROS-based robot or simulator. This paper presents the core functionality of RPN in the context of a web-enabled ROS system, its possibilities for remote education and training, and some experimentation with simulators and real robots in which we have integrated the tool in a Moodle environment, creating some programming courses and make it open to researchers and students (http: //robotprogramming.uji.es).

Published
2015