660 research outputs found

    International Conference on Computer Science and Communication Engineering

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    UBT Annual International Conference is the 9th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent advancements in different research fields, and provide them with a unique forum to share their experiences. It is also the place to support the new academic staff for doing research and publish their work in international standard level. This conference consists of sub conferences in different fields like: Art and Digital Media Agriculture, Food Science and Technology Architecture and Spatial Planning Civil Engineering, Infrastructure and Environment Computer Science and Communication Engineering Dental Sciences Education and Development Energy Efficiency Engineering Integrated Design Information Systems and Security Journalism, Media and Communication Law Language and Culture Management, Business and Economics Modern Music, Digital Production and Management Medicine and Nursing Mechatronics, System Engineering and Robotics Pharmaceutical and Natural Sciences Political Science Psychology Sport, Health and Society Security Studies This conference is the major scientific event of the UBT. It is organizing annually and always in cooperation with the partner universities from the region and Europe. We have to thank all Authors, partners, sponsors and also the conference organizing team making this event a real international scientific event

    Expressing Visual Preferences Through Interactive Parametric Virtual Environment to Inform Early Stage of Learning Space Design

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    The design of learning spaces is characterised as a social-creative process in which designers initiate a partnership with prospective users to identify the space’s attributes that may support learning activities. This thesis investigated the efficacy of a method on enabling such a large-scale partnership in the early stage of a design process. The survey method is designed to initiate participation from anyone anytime anywhere, and on the other hand, to collate the visual preferences expressed as user data for professional designers to work with iteratively. An interactive online 3-D Parametric Virtual Environment platform was developed to implement the survey method and was used in carrying out a two-stage experiment. During the first-stage experiment, 186 multi-national participants accessed the 3-D platform to express their visual preferences through a set of parameters altering how a learning space may look like preferably. The visual preferences collated from the first stage were analysed and presented as visual analytics to participants in the second stage in which 18 design practitioners took part. The experiment reveals how the participants perceive-usability of the proposed method and how the design practitioners responded to the visual preferences collected through it

    Volume 43, Number 1, March 2023 OLAC Newsletter

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    Digitized March 2023 issue of the OLAC Newsletter

    The role of utilitarian and hedonic aspects in the continuance intention to use social mobile apps

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    The purpose of this research is to understand the main factors that determine users’ continuance intention to use social mobile Apps, considering two utilitarian (i.e., perceived usefulness, perceived ease of use) variables and a hedonic (i.e., perceived enjoyment) variable. As social mobile Apps may be utilitarian or hedonic, we aim to evaluate possible differences in the significance of the aforementioned antecedent factors in utilitarian Apps (i.e., TripAdvisor) and hedonic Apps (i.e., Instagram). The data were collected from an international sample of users; the Partial Least Squares method was applied to analyze the research model, using SMARTPLS 3.0. To analyze the moderating effects, a multi-group PLS analysis was carried out to compare the differences between the path relationships in the two Apps. The results show that continuance intention to use is explained by perceived usefulness, perceived ease of use, perceived enjoyment, satisfaction and user experience (control variable), and the impact of utilitarian variables is generally greater for utilitarian Apps, whereas the impact of perceived enjoyment is higher for hedonic Apps. This study contributes to the general body of knowledge about mobile Apps by providing a comprehensive theoretical foundation and practical implications that illuminate the continuance use of social mobile Apps

    A contribution to the incorporation of sociability and creativity skills to computers and robots

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    This dissertation contains the research and work completed by the PhD candidate on the incorporation of sociability and creativity skills to computers and robots. Both skills can be directly related with empathy, which is the ability to understand and share the feelings of another. In this form, this research can be contextualized in the framework of recent developments towards the achievement of empathy machines. The first challenge at hands refers to designing pioneering techniques based on the use of social robots to improve user experience interacting with them. In particular, research focus is on eliminating or minimizing pain and anxiety as well as loneliness and stress of long-term hospitalized child patients. This challenge is approached by developing a cloud-based robotics architecture to effectively develop complex tasks related to hospitalized children assistance. More specifically, a multiagent learning system is introduced based on a combination of machine learning and cloud computing using low-cost robots (Innvo labs's Pleo rb). Moreover, a wireless communication system is also developed for the Pleo robot in order to help the health professional who conducts therapy with the child, monitoring, understanding, and controlling Pleo behavior at any moment. As a second challenge, a new formulation of the concept of creativity is proposed in order to empower computers with. Based on previous well established theories from Boden and Wiggins, this thesis redefines the formal mechanism of exploratory and transformational creativity in a way which facilitates the computational implementation of these mechanisms in Creativity Support Systems. The proposed formalization is applied and validated on two real cases: the first, about chocolate designing, in which a novel and flavorful combination of chocolate and fruit is generated. The second case is about the composition of a single voice tune of reel using ABC notation.Postprint (published version

    A contribution to the incorporation of sociability and creativity skills to computers and robots

    Get PDF
    This dissertation contains the research and work completed by the PhD candidate on the incorporation of sociability and creativity skills to computers and robots. Both skills can be directly related with empathy, which is the ability to understand and share the feelings of another. In this form, this research can be contextualized in the framework of recent developments towards the achievement of empathy machines. The first challenge at hands refers to designing pioneering techniques based on the use of social robots to improve user experience interacting with them. In particular, research focus is on eliminating or minimizing pain and anxiety as well as loneliness and stress of long-term hospitalized child patients. This challenge is approached by developing a cloud-based robotics architecture to effectively develop complex tasks related to hospitalized children assistance. More specifically, a multiagent learning system is introduced based on a combination of machine learning and cloud computing using low-cost robots (Innvo labs's Pleo rb). Moreover, a wireless communication system is also developed for the Pleo robot in order to help the health professional who conducts therapy with the child, monitoring, understanding, and controlling Pleo behavior at any moment. As a second challenge, a new formulation of the concept of creativity is proposed in order to empower computers with. Based on previous well established theories from Boden and Wiggins, this thesis redefines the formal mechanism of exploratory and transformational creativity in a way which facilitates the computational implementation of these mechanisms in Creativity Support Systems. The proposed formalization is applied and validated on two real cases: the first, about chocolate designing, in which a novel and flavorful combination of chocolate and fruit is generated. The second case is about the composition of a single voice tune of reel using ABC notation

    Volume 37, Number 3, September 2017 OLAC Newsletter

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    Digitized September 2017 issue of the OLAC Newsletter

    Ag-IoT for crop and environment monitoring: Past, present, and future

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    CONTEXT: Automated monitoring of the soil-plant-atmospheric continuum at a high spatiotemporal resolution is a key to transform the labor-intensive, experience-based decision making to an automatic, data-driven approach in agricultural production. Growers could make better management decisions by leveraging the real-time field data while researchers could utilize these data to answer key scientific questions. Traditionally, data collection in agricultural fields, which largely relies on human labor, can only generate limited numbers of data points with low resolution and accuracy. During the last two decades, crop monitoring has drastically evolved with the advancement of modern sensing technologies. Most importantly, the introduction of IoT (Internet of Things) into crop, soil, and microclimate sensing has transformed crop monitoring into a quantitative and data-driven work from a qualitative and experience-based task. OBJECTIVE: Ag-IoT systems enable a data pipeline for modern agriculture that includes data collection, transmission, storage, visualization, analysis, and decision-making. This review serves as a technical guide for Ag-IoT system design and development for crop, soil, and microclimate monitoring. METHODS: It highlighted Ag-IoT platforms presented in 115 academic publications between 2011 and 2021 worldwide. These publications were analyzed based on the types of sensors and actuators used, main control boards, types of farming, crops observed, communication technologies and protocols, power supplies, and energy storage used in Ag-IoT platforms
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