2,847 research outputs found

    Fireground location understanding by semantic linking of visual objects and building information models

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    This paper presents an outline for improved localization and situational awareness in fire emergency situations based on semantic technology and computer vision techniques. The novelty of our methodology lies in the semantic linking of video object recognition results from visual and thermal cameras with Building Information Models (BIM). The current limitations and possibilities of certain building information streams in the context of fire safety or fire incident management are addressed in this paper. Furthermore, our data management tools match higher-level semantic metadata descriptors of BIM and deep-learning based visual object recognition and classification networks. Based on these matches, estimations can be generated of camera, objects and event positions in the BIM model, transforming it from a static source of information into a rich, dynamic data provider. Previous work has already investigated the possibilities to link BIM and low-cost point sensors for fireground understanding, but these approaches did not take into account the benefits of video analysis and recent developments in semantics and feature learning research. Finally, the strengths of the proposed approach compared to the state-of-the-art is its (semi -)automatic workflow, generic and modular setup and multi-modal strategy, which allows to automatically create situational awareness, to improve localization and to facilitate the overall fire understanding

    Software for Wearable Devices: Challenges and Opportunities

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    Wearable devices are a new form of mobile computer system that provides exclusive and user-personalized services. Wearable devices bring new issues and challenges to computer science and technology. This paper summarizes the development process and the categories of wearable devices. In addition, we present new key issues arising in aspects of wearable devices, including operating systems, database management system, network communication protocol, application development platform, privacy and security, energy consumption, human-computer interaction, software engineering, and big data.Comment: 6 pages, 1 figure, for Compsac 201

    E-ticket System as an example of Internet of Things application

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    We are entering a new revolution of technology called Internet of Things (IoT). It enables machines to be connected and exchange data. It brings a huge potential to different areas of technology. It is being used in several applications in different fields: building smart city, smart home, health care and agriculture. This thesis summarizes current IoT application development and the development of an E-ticket system as a demonstration of IoT application. The literature research was taken place prior to the implementation phase. Several studies on existing scientific articles were done about current IoT applications and its use cases. After that, current IoT technologies were studied and the best technologies were chosen to implement the E-ticket system. It involves Amazon web services (AWS) [8], Java Spring framework [9] and REST [10] calls over 3G [11] connections. As the result of the research and implementation, the E-ticket system was developed and demonstrated to the teacher. The solution provides police officers a quick and easy way to issue fine tickets and automates the fine payment process. Moreover, it also allows people to give feedback about performance of police officers. It is being sold to the government to solve cash payment issues in developing countries. The research shows that IoT can be utilized in many different existing applications. It will improve the scalability of the application and allow collecting a huge amount of data, which will be the resource for big data analysis, machine learning, etc. IoT is a part of a big technology revolution we are going through at the moment

    Internet of Things Based Technology for Smart Home System: A Generic Framework

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    Internet of Things (IoT) is a technology which enables computing devices, physical and virtual objects/devices to be connected to the internet so that users can control and monitor devices. The IoT offers huge potential for development of various applications namely: e-governance, environmental monitoring, military applications, infrastructure management, industrial applications, energy management, healthcare monitoring, home automation and transport systems. In this paper, the brief overview of existing frameworks for development of IoT applications, techniques to develop smart home applications using existing IoT frameworks, and a new generic framework for the development of IoTbasedsmart home system is presented. The proposed generic framework comprises various modules such as Auto-Configuration and Management, Communication Protocol, Auto-Monitoring and Control, and Objects Access Control. The architecture of the new generic framework and the functionality of various modules in the framework are also presented. The proposed generic framework is helpful for making every house as smart house to increase the comfort of inhabitants. Each of the components of generic framework is robust in nature in providing services at any time. The components of smart home system are designed to take care of various issues such as scalability, interoperability, device adaptability, security and privacy. The proposed generic framework is designed to work on all vendor boards and variants of Linux and Windows operating system

    Internet Predictions

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    More than a dozen leading experts give their opinions on where the Internet is headed and where it will be in the next decade in terms of technology, policy, and applications. They cover topics ranging from the Internet of Things to climate change to the digital storage of the future. A summary of the articles is available in the Web extras section
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