WorldWideScience

Sample records for intelligence nature smart

  1. A DISTRIBUTED SMART HOME ARTIFICIAL INTELLIGENCE SYSTEM

    DEFF Research Database (Denmark)

    Lynggaard, Per

    2013-01-01

    A majority of the research performed today explore artificial intelligence in smart homes by using a centralized approach where a smart home server performs the necessary calculations. This approach has some disadvantages that can be overcome by shifting focus to a distributed approach where...... the artificial intelligence system is implemented as distributed as agents running parts of the artificial intelligence system. This paper presents a distributed smart home architecture that distributes artificial intelligence in smart homes and discusses the pros and cons of such a concept. The presented...... distributed model is a layered model. Each layer offers a different complexity level of the embedded distributed artificial intelligence. At the lowest layer smart objects exists, they are small cheap embedded microcontroller based smart devices that are powered by batteries. The next layer contains a more...

  2. The application and development of artificial intelligence in smart clothing

    Science.gov (United States)

    Wei, Xiong

    2018-03-01

    This paper mainly introduces the application of artificial intelligence in intelligent clothing. Starting from the development trend of artificial intelligence, analysis the prospects for development in smart clothing with artificial intelligence. Summarize the design key of artificial intelligence in smart clothing. Analysis the feasibility of artificial intelligence in smart clothing.

  3. Integrative solutions for intelligent energy management. Smart metering, smart home, smart grid; Integrative Loesungsansaetze fuer ein intelligentes Energiemanagement. Smart Metering, Smart Home and Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Jungfleisch, Achim [Hager Vertriebsgesellschaft mbH und Co. KG, Blieskastel (Germany). Marketing

    2011-07-01

    Smart Metering, Smart Home, Smart Grid - these key words significantly determine the current debate about intelligent energy management, or new energy concepts. The author of the contribution under consideration describes the interactions between Smart Metering, Smart Home and Smart Grids and the technical connection of these interactions. Thus, the compact tebis KNX demovea server connects Windows computer and the Internet with the building automation based on KNX. The technically simple combination of smart metering and smart home via Hager radio tower of the building automation provides an access to key energy data for an intelligent load management.

  4. Smart Collision Avoidance and Hazard Routing Mechanism for Intelligent Transport Network

    Science.gov (United States)

    Singh, Gurpreet; Gupta, Pooja; Wahab, Mohd Helmy Abd

    2017-08-01

    The smart vehicular ad-hoc network is the network that consists of vehicles for smooth movement and better management of the vehicular connectivity across the given network. This research paper aims to propose a set of solution for the VANETs consisting of the automatic driven vehicles, also called as the autonomous car. Such vehicular networks are always prone to collision due to the natural or un-natural reasons which must be solved before the large-scale deployment of the autonomous transport systems. The newly designed intelligent transport movement control mechanism is based upon the intelligent data propagation along with the vehicle collision and traffic jam prevention schema [8], which may help the future designs of smart cities to become more robust and less error-prone. In the proposed model, the focus is on designing a new dynamic and robust hazard routing protocol for intelligent vehicular networks for improvement of the overall performance in various aspects. It is expected to improve the overall transmission delay as well as the number of collisions or adversaries across the vehicular network zone.

  5. Intelligent and robust optimization frameworks for smart grids

    Science.gov (United States)

    Dhansri, Naren Reddy

    A smart grid implies a cyberspace real-time distributed power control system to optimally deliver electricity based on varying consumer characteristics. Although smart grids solve many of the contemporary problems, they give rise to new control and optimization problems with the growing role of renewable energy sources such as wind or solar energy. Under highly dynamic nature of distributed power generation and the varying consumer demand and cost requirements, the total power output of the grid should be controlled such that the load demand is met by giving a higher priority to renewable energy sources. Hence, the power generated from renewable energy sources should be optimized while minimizing the generation from non renewable energy sources. This research develops a demand-based automatic generation control and optimization framework for real-time smart grid operations by integrating conventional and renewable energy sources under varying consumer demand and cost requirements. Focusing on the renewable energy sources, the intelligent and robust control frameworks optimize the power generation by tracking the consumer demand in a closed-loop control framework, yielding superior economic and ecological benefits and circumvent nonlinear model complexities and handles uncertainties for superior real-time operations. The proposed intelligent system framework optimizes the smart grid power generation for maximum economical and ecological benefits under an uncertain renewable wind energy source. The numerical results demonstrate that the proposed framework is a viable approach to integrate various energy sources for real-time smart grid implementations. The robust optimization framework results demonstrate the effectiveness of the robust controllers under bounded power plant model uncertainties and exogenous wind input excitation while maximizing economical and ecological performance objectives. Therefore, the proposed framework offers a new worst-case deterministic

  6. Real-Time Business Intelligence in the MIRABEL Smart Grid System

    DEFF Research Database (Denmark)

    Fischer, Ulrike; Kaulakiene, Dalia; Khalefa, Mohamed

    2012-01-01

    of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intelligence challenges. This paper discusses these challenges and presents data management solutions in the European smart grid project MIRABEL. These solutions......) data. Experimental studies show that the proposed solutions support important real-time business intelligence tasks in a smart grid system....

  7. From Smart to Intelligent Sensors: A Case Study

    Directory of Open Access Journals (Sweden)

    Vincenzo Di Lecce

    2012-03-01

    Full Text Available This paper showcases the opportunity of embedding intelligence in smart sensor devices with particular reference to air quality monitoring applications. The work bases upon recent findings attained and published by authors in the field of information extraction from measurements signals and smart sensor research. Smart sensors are commonly conceived as hardware/software transducers able to lift the source physical signal(s to the application target level. This entails an intricate twist of physical measurements and application-level bits of information. When measures are noisy or ambiguous, information extraction is demanding and thus requires artificial intelligence to intervene in the data interpretation process. Experience gained with handcrafted prototypes allowed us to harness the complexity of bringing artificial intelligence inside physical measurements. To provide a complete picture of the encountered criticalities, the chosen semantic model, the carried out and the obtained results are reported and discussed.

  8. 3rd International Symposium for Intelligent Transportation and Smart City

    CERN Document Server

    Xie, Xiongyao; Sun, Jian; Ma, Limin; Chen, Yinong; ITASC

    2017-01-01

    This book presents research advances in intelligent transportation and smart cities in detail, mainly focusing on green traffic and urban utility tunnels, presented at the 3rd International Symposium for Intelligent Transportation and Smart City (ITASC) held at Tongji University, Shanghai, on May 19–20, 2017. It discusses a number of hot topics, such as the 2BMW system (Bus, Bike, Metro and Walking), transportation safety and environmental protection, urban utility design and application, as well as the application of BIM (Building Information Modeling) in city design. By connecting the theory and applications of intelligent transportation in smart cities, it enhances traffic efficiency and quality. The book gathers numerous selected papers and lectures, including contributions from respected scholars and the latest engineering advances, to provide guidance to researchers in the field of transportation and urban planning at universities and in related industries. The first conference in the ITASC series sta...

  9. Intelligent distributed voltage control system for smart grid application

    Energy Technology Data Exchange (ETDEWEB)

    Sajadi, Amirhossein [Warsaw Univ. of Technology (Poland); Ariatabar, Mitra [RWTH Aachen Univ. (Germany)

    2012-07-01

    Increasing penetration of the renewable energy source (RES) units in distribution networks particularly due to nonlinear and unpredictable nature of renewable units brings up new challenges in different aspects of electricity network, which leads to more complex power systems. Multi-agent system is consisting of agents which are capable to perceive environment that they are located in and to reacts with each other by communication infrastructure in order to achieve overall goals. In this paper an approach to control the voltage based on in the power distribution system is proposed and discussed. Therefore, a multi-agent system has been integrated with artificial intelligence to come up with fuzzy multi-agent based system. The proposed control scheme is deployed to a smart distribution system consisting distribution generation units, modelled in MATLAB/Simulink, to evaluate its effectiveness. The simulation results show how proposed system can regulate voltage in smart distribution feeders. (orig.)

  10. Smart and intelligent sensor payload project

    Science.gov (United States)

    2009-01-01

    Engineers working on the smart and intelligent sensor payload project include (l to r): Ed Conley (NASA), Mark Mitchell (Jacobs Technology), Luke Richards (NASA), Robert Drackett (Jacobs Technology), Mark Turowski (Jacobs Technology) , Richard Franzl (seated, Jacobs Technology), Greg McVay (Jacobs Technology), Brianne Guillot (Jacobs Technology), Jon Morris (Jacobs Technology), Stephen Rawls (NASA), John Schmalzel (NASA) and Andrew Bracey (NASA).

  11. Artificial intelligence and Internet of Things in a “smart home” context

    DEFF Research Database (Denmark)

    Lynggaard, Per

    We are currently witnessing an evolution from building and home automation to smart homes, driven by progressing maturity of the Internet of Things and the use of artificial intelligence. However, significant technological challenges such as immature home intelligence, huge network and central...... of the distributed system is comparable to state-of-the-art centralized smart home architectures. In a larger perspective, the proposed framework supports and facilitates the coming era of Internet of Things. The distributed approach and elements of the framework can be applied in many related areas, such as ambient...

  12. Smart information systems computational intelligence for real-life applications

    CERN Document Server

    Hopfgartner, Frank

    2015-01-01

    This must-read text/reference presents an overview of smart information systems for both the private and public sector, highlighting the research questions that can be studied by applying computational intelligence. The book demonstrates how to transform raw data into effective smart information services, covering the challenges and potential of this approach. Each chapter describes the algorithms, tools, measures and evaluations used to answer important questions. This is then further illustrated by a diverse selection of case studies reflecting genuine problems faced by SMEs, multinational

  13. Intelligent control of a smart walker and its performance evaluation.

    Science.gov (United States)

    Grondin, Simon L; Li, Qingguo

    2013-06-01

    Recent technological advances have allowed the development of force-dependent, intelligently controlled smart walkers that are able to provide users with enhanced mobility, support and gait assistance. The purpose of this study was to develop an intelligent rule-based controller for a smart walker to achieve a smooth interaction between the user and the walker. This study developed a rule-based mapping between the interaction force, measured by a load cell attached to the walker handle, and the acceleration of the walker. Ten young, healthy subjects were used to evaluate the performance of the proposed controller compared to a well-known admittance-based control system. There were no significant differences between the two control systems concerning their user experience, velocity profiles or average cost of transportation. However, the admittance-based control system required a 1.2N lower average interaction force to maintain the 1m/s target speed (p = 0.002). Metabolic data also indicated that smart walker-assisted gait could considerably reduce the metabolic demand of walking with a four-legged walker.

  14. A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems

    OpenAIRE

    Kyunghee Sun; Intae Ryoo

    2018-01-01

    When it comes to Internet of Things systems that include both a logistics system and an intelligent transportation system, a smart sensor is one of the key elements to collect useful information whenever and wherever necessary. This study proposes the Smart Sensor Node Group Management Medium Access Control Scheme designed to group smart sensor devices and collect data from them efficiently. The proposed scheme performs grouping of portable sensor devices connected to a system depending on th...

  15. A Smart Home Center Platform Solution Based on Smart Mirror

    Directory of Open Access Journals (Sweden)

    Deng Xibo

    2017-01-01

    Full Text Available With the popularization of the concept of smart home, people have raised requirements on the experience of smart living. A smart home platform center solution is put forward in order to solve the intelligent interoperability and information integration of smart home, which enable people to have a more intelligent and convenient life experience. This platform center is achieved through the Smart Mirror. The Smart Mirror refers to a smart furniture, on the basis of the traditional concept of mirror, combining Raspberry Pi, the application of one-way mirror imaging principle, the touch-enabled design, voice and video interaction. Smart Mirror can provide a series of intelligent experience for the residents, such as controlling all the intelligent furniture through Smart Mirror; accessing and displaying the weather, time, news and other life information; monitoring the home environment; remote interconnection operation.

  16. A novel intelligent control of HVAC system in smart microgrid

    Directory of Open Access Journals (Sweden)

    Seyed Mehdi Hakimi

    2017-09-01

    Full Text Available Heating systems have played an important role in building energy and comfort management. This paper set forth a novel intelligent residential heating system controller that has smart grid functionality. In smart grid, demand response systems now have the ability to not only engage commercial and industrial customers, but also the individual residential customers. Additionally, the ability exists to have automated control systems which operate on an availability of renewable energy and welfare of customers. In this paper one possible implementation of an active controller will be examined. An active controller operates by responding to a combination of internal set points and external signal from local control entity. The optimization objective of the heating systems management was to minimize the cost of smart microgrid, minimize the size of smart microgrid units, minimize import energy from distribution grid and maximize reliability of smart microgrid. This means that, smart heating system and renewable energy can work well together and their individual benefits can be added together when used in combination. Simulation studies are used to demonstrate the capability on the proposed heating system controller on the planning of a smart microgrid system.

  17. Smart and Intelligent Sensors

    Science.gov (United States)

    Lansaw, John; Schmalzel, John; Figueroa, Jorge

    2009-01-01

    John C. Stennis Space Center (SSC) provides rocket engine propulsion testing for NASA's space programs. Since the development of the Space Shuttle, every Space Shuttle Main Engine (SSME) has undergone acceptance testing at SSC before going to Kennedy Space Center (KSC) for integration into the Space Shuttle. The SSME is a large cryogenic rocket engine that uses Liquid Hydrogen (LH2) as the fuel. As NASA moves to the new ARES V launch system, the main engines on the new vehicle, as well as the upper stage engine, are currently base lined to be cryogenic rocket engines that will also use LH2. The main rocket engines for the ARES V will be larger than the SSME, while the upper stage engine will be approximately half that size. As a result, significant quantities of hydrogen will be required during the development, testing, and operation of these rocket engines.Better approaches are needed to simplify sensor integration and help reduce life-cycle costs. 1.Smarter sensors. Sensor integration should be a matter of "plug-and-play" making sensors easier to add to a system. Sensors that implement new standards can help address this problem; for example, IEEE STD 1451.4 defines transducer electronic data sheet (TEDS) templates for commonly used sensors such as bridge elements and thermocouples. When a 1451.4 compliant smart sensor is connected to a system that can read the TEDS memory, all information needed to configure the data acquisition system can be uploaded. This reduces the amount of labor required and helps minimize configuration errors. 2.Intelligent sensors. Data received from a sensor be scaled, linearized; and converted to engineering units. Methods to reduce sensor processing overhead at the application node are needed. Smart sensors using low-cost microprocessors with integral data acquisition and communication support offer the means to add these capabilities. Once a processor is embedded, other features can be added; for example, intelligent sensors can make

  18. Artificial intelligence and Internet of Things in a “smart home” context:A Distributed System Architecture

    OpenAIRE

    Lynggaard, Per

    2014-01-01

    We are currently witnessing an evolution from building and home automation to smart homes, driven by progressing maturity of the Internet of Things and the use of artificial intelligence. However, significant technological challenges such as immature home intelligence, huge network and central server processing load; and embedded resource usage, still need to be addressed. Until now, most of the research in this area has focused on centralized architectures for smart homes. This work contribu...

  19. Smart Optoelectronic Sensors and Intelligent Sensor Systems

    Directory of Open Access Journals (Sweden)

    Sergey Y. YURISH

    2012-03-01

    Full Text Available Light-to-frequency converters are widely used in various optoelectronic sensor systems. However, a further frequency-to-digital conversion is a bottleneck in such systems due to a broad frequency range of light-to-frequency converters’ outputs. This paper describes an effective OEM design approach, which can be used for smart and intelligent sensor systems design. The design is based on novel, multifunctional integrated circuit of Universal Sensors & Transducers Interface especially designed for such sensor applications. Experimental results have confirmed an efficiency of this approach and high metrological performances.

  20. Intelligent Demand Side Management within production systems. Towards Industrial Smart Grids; Intelligente Lastverschiebung in der Produktionstechnik. Ein Weg zum Industrial Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Schriegel, Sebastian; Pethig, Florian; Jasperneite, Juergen [Fraunhofer-Anwendungszentrum Industrial Automation (IOSB-INA), Lemgo (Germany)

    2012-07-01

    Demand Side Management is a key technology of smart grids. Consumers adjust their energy consumption at current time-volatile energy generation capacity. The currently used energy consumption optimizations, such as the use of energy efficient actuators, pause functions and peak load management should be supplemented by a dynamic real-time energy management. For industrial consumers, such an energy management may be established at various levels of the automation pyramid. On plant level energy optimization is based on predictions, on control and field level optimization is based on process variables. The taxonomy of potential energy optimization differentiates between organizational, synchronization and single parameter optimization. This potential can be exploited with intelligent control technology based on qualified process models and tunable control programs. An Industrial Smart Grid results by interlinking the former mentioned intelligent control technologies with the plant infrastructure and thereby provides an optimal energy consumption behavior and a perfect integration into and interaction with the smart grid. (orig.)

  1. VDE congress 2012 Smart Grid. Intelligent energy supply of the future. Lectures; VDE-Kongress 2012 Smart Grid. Intelligente Energieversorgung der Zukunft. Kongressbeitraege

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-07-01

    The optimal design of the process of energy production and power distribution conserving resources requires an intensive interdisciplinary cooperation between engineers of different disciplines. A major challenge for a functioning, nationwide infrastructure comes along that will result in new business models and business processes. The VDE Congress 'Smart Grids' on 5th to 6th November 2012 at the International Congress Center Stuttgart (Federal Republic of Germany) enables an intensive knowledge exchange due to the following six topics: Smart home; intelligent load management; smart metering and business models; network infrastructure; smart grid applications / services; society and resources. The range of presentations from overview lectures to specialist presentations on important aspects of the smart grid is a particular feature of this event.

  2. Smart Waste Collection System Based on Location Intelligence

    DEFF Research Database (Denmark)

    Lopez, Jose Manuel Guterrez Lopez; Jensen, Michael; Andreasen, Morten Henius

    2015-01-01

    (IoT) integration with data access networks, Geographic Information Systems (GIS), combinatorial optimization, and electronic engineering can contribute to improve cities’ management systems. We present a waste collection solution based on providing intelligence to trashcans, by using an IoT prototype...... to contribute and develop Smart city solutions.......Cities around the world are on the run to become smarter. Some of these have seen an opportunity on deploying dedicated municipal access networks to support all types of city management and maintenance services requiring a data connection. This paper practically demonstrates how Internet of Things...

  3. Incentivizing intelligent customer behavior in smart-grids: a risk-sharing tariff & optimal strategies

    NARCIS (Netherlands)

    G. Methenitis (Georgios); M. Kaisers (Michael); J.A. La Poutré (Han)

    2016-01-01

    textabstractCurrent electricity tariffs for retail rarely provide incentives for intelligent demand response of flexible customers. Such customers could otherwise contribute to balancing supply and demand in future smart grids. This paper proposes an innovative risk-sharing tariff to incentivize

  4. Smart infrastructure design for Smart Cities

    OpenAIRE

    OTA, Kaoru; KUMRAI, Teerawat; DONG, Mianxiong; KISHIGAMI, Jay (Junichi); GUO, Minyi

    2017-01-01

    Intelligent Transportation Systems (ITS) is one of the keywords to describe smart cities, aiming at efficient public transport, smart parking, enhanced road safety, intelligent traffic management, onvehicle entertainment, and so on. In ITS, Roadside Unit (RSU) deployment should be well-designed due to it serves as a service provider and a gateway to the Internet for vehicular users. In this article, we propose an RSU deployment strategy which maximizes the communication coverage and reduces t...

  5. Research Advance in Smart Metamaterials

    Directory of Open Access Journals (Sweden)

    YU Xiang-long

    2016-07-01

    Full Text Available Metamaterials, man-made materials, enable us to design our own "atoms", and thereby to create materials with unprecedented effective properties that have not yet been found in nature. Smart metamaterial is one of those that is an intelligent perceptive to the changes from external environments and simultaneously having the capability to respond to thermal and mechanical stimuli. This paper can provide a review on these smart metamaterials in perspective of science, engineering and industrial products. We divide smart metamaterials according to what they are tuning into: optical, mechanical, thermal and coupled smart metamaterials. The rest of two techniques we addressed are modelling/simulation and fabrication/gene engineering. All of these types smart materials presented here are associated with at least five fundamental research: coupled mechanism of multi-physics fields, man-made design for atom/molecular, metamaterials coupled with natural materials, tunability of metamaterials, and mechanism of sensing metamaterials. Therefore, we give a systematic overview of various potential smart metamaterials together with the upcoming challenges in the intriguing and promising research field.

  6. Smart Energy 2012. How smart is the way towards the turnaround in the energy policy; Smart Energy 2012. Wie smart ist der Weg zur Energiewende?

    Energy Technology Data Exchange (ETDEWEB)

    Grossmann, Uwe; Kunold, Ingo (eds.)

    2012-07-01

    The contribution under consideration contains fifteen contributions of well-known authors from commercial enterprises, public institutions and universities on smart energy: (1) Smart grids, but surely (Claudia Eckert); (2) Requirements concerning the further development of data protection and data security as part of the technological change (Reinhold Harnisch); (3) Standardization in the smart grid (Harald Orlamuender); (4) IEC 61850 - The standard for energy automation (Georg Harnischmacher); (5) Smart City, the intelligent grid in the city (Michael Laskowski); (6) IKT is a basis for a real smart power distribution system (Justus Bross); (7) Power transparency and optimized building optimization by means of a holistic automation concepts (Joerg Wollert); (8) Distributed architecture for a balancing aggregation of consumption and generation of power in private households (Kilian Hemmeboehle); (9) Development of an e-energy market place and first experiences from the field test in the E-DeMa project (Bernd Werner); (10) Smart metering rollout pilot ''30,000er'' (Axel Lauterkorn); (11) Experiences with the connexion and communication to smart meters in the project eTelligence (Guenter Pistoor); (12) Smart Phoenix - Intelligent energy networks in Dortmund (Roland Brueggemann); (13) Smart planning (C. Engels); Intelligent house control by means of smart metering (Sabine Wieland); (14) Dynamic billing of energy and value-added service in the networked home (Frank C. Bormann).

  7. Distributing emotional services in ambient intelligence through cognitive agents

    NARCIS (Netherlands)

    Acampora, G.; Loia, V.; Vitiello, A.

    2011-01-01

    Ambient Intelligence (AmI) is a pervasive computing paradigm whose main aim is to design smart environments composed of invisible, connected, intelligent and interactive systems, which are naturally sensitive and responsive to the presence of people, providing advanced services for improving the

  8. Improving Emotional Intelligence through Personality Development: The Effect of the Smart Phone Application based Dharma Life Program on Emotional Intelligence.

    Science.gov (United States)

    Poonamallee, Latha; Harrington, Alex M; Nagpal, Manisha; Musial, Alec

    2018-01-01

    Emotional intelligence is established to predict success in leadership effectiveness in various contexts and has been linked to personality factors. This paper introduces Dharma Life Program, a novel approach to improving emotional intelligence by targeting maladaptive personality traits and triggering neuroplasticity through the use of a smart-phone application and mentoring. The program uses neuroplasticity to enable users to create a more adaptive application of their maladaptive traits, thus improving their emotional intelligence. In this study 26 participants underwent the Dharma Life Program in a leadership development setting. We assessed their emotional and social intelligence before and after the Dharma Life Program intervention using the Emotional and Social Competency Inventory (ESCI). The study found a significant improvement in the lowest three competencies and a significant improvement in almost all domains for the entire sample. Our findings suggest that the completion of the Dharma Life Program has a significant positive effect on Emotional and Social Competency scores and offers a new avenue for improving emotional intelligence competencies.

  9. A Smart Sensor Data Transmission Technique for Logistics and Intelligent Transportation Systems

    Directory of Open Access Journals (Sweden)

    Kyunghee Sun

    2018-03-01

    Full Text Available When it comes to Internet of Things systems that include both a logistics system and an intelligent transportation system, a smart sensor is one of the key elements to collect useful information whenever and wherever necessary. This study proposes the Smart Sensor Node Group Management Medium Access Control Scheme designed to group smart sensor devices and collect data from them efficiently. The proposed scheme performs grouping of portable sensor devices connected to a system depending on the distance from the sink node and transmits data by setting different buffer thresholds to each group. This method reduces energy consumption of sensor devices located near the sink node and enhances the IoT system’s general energy efficiency. When a sensor device is moved and, thus, becomes unable to transmit data, it is allocated to a new group so that it can continue transmitting data to the sink node.

  10. Smart-system of distance learning of visually impaired people based on approaches of artificial intelligence

    Science.gov (United States)

    Samigulina, Galina A.; Shayakhmetova, Assem S.

    2016-11-01

    Research objective is the creation of intellectual innovative technology and information Smart-system of distance learning for visually impaired people. The organization of the available environment for receiving quality education for visually impaired people, their social adaptation in society are important and topical issues of modern education.The proposed Smart-system of distance learning for visually impaired people can significantly improve the efficiency and quality of education of this category of people. The scientific novelty of proposed Smart-system is using intelligent and statistical methods of processing multi-dimensional data, and taking into account psycho-physiological characteristics of perception and awareness learning information by visually impaired people.

  11. Computational Foundations of Natural Intelligence.

    Science.gov (United States)

    van Gerven, Marcel

    2017-01-01

    New developments in AI and neuroscience are revitalizing the quest to understanding natural intelligence, offering insight about how to equip machines with human-like capabilities. This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong AI. After reviewing basic principles, a variety of computational modeling approaches is discussed. Subsequently, I concentrate on the use of artificial neural networks as a framework for modeling cognitive processes. This paper ends by outlining some of the challenges that remain to fulfill the promise of machines that show human-like intelligence.

  12. Rural architecture between artificial intelligence and natural intelligence

    Energy Technology Data Exchange (ETDEWEB)

    Cennamo, M.; Palma, P. di; Ricciardelli, A. [University of Naples Frederico II (Italy). Dept. of Configurazione e Attuazione dell Architettra

    2000-02-01

    Following the field of research carried out and reported in the Second International Conference for Teachers of Architecture held in Florence on October 16, 17 and 18, 1997, which stated the central position of Architectural project in relation to Human Intelligence, Natural Intelligence and Artificial Intelligence, the present paper suggests a phase of application of the theoretical assumptions to spacial models paradigmatic of the complexity of projects and building technique, as well as of the relationship between man-made environment and natural one. Among the different typologies in architecture, this research focuses on the rural buildings in Campania, mainly on the ones in the Vesuvius area, as those are the most suitable to be studied and salvaged with the help of biology, mathematics and high engineering. (author)

  13. Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios

    OpenAIRE

    Javier Ferrer; José García-Nieto; Enrique Alba; Francisco Chicano

    2016-01-01

    In smart cities, the use of intelligent automatic techniques to find efficient cycle programs of traffic lights is becoming an innovative front for traffic flow management. However, this automatic programming of traffic lights requires a validation process of the generated solutions, since they can affect the mobility (and security) of millions of citizens. In this paper, we propose a validation strategy based on genetic algorithms and feature models for the automatic generation of different ...

  14. Computational Foundations of Natural Intelligence

    Directory of Open Access Journals (Sweden)

    Marcel van Gerven

    2017-12-01

    Full Text Available New developments in AI and neuroscience are revitalizing the quest to understanding natural intelligence, offering insight about how to equip machines with human-like capabilities. This paper reviews some of the computational principles relevant for understanding natural intelligence and, ultimately, achieving strong AI. After reviewing basic principles, a variety of computational modeling approaches is discussed. Subsequently, I concentrate on the use of artificial neural networks as a framework for modeling cognitive processes. This paper ends by outlining some of the challenges that remain to fulfill the promise of machines that show human-like intelligence.

  15. Improving Emotional Intelligence through Personality Development: The Effect of the Smart Phone Application based Dharma Life Program on Emotional Intelligence

    Directory of Open Access Journals (Sweden)

    Latha Poonamallee

    2018-02-01

    Full Text Available Emotional intelligence is established to predict success in leadership effectiveness in various contexts and has been linked to personality factors. This paper introduces Dharma Life Program, a novel approach to improving emotional intelligence by targeting maladaptive personality traits and triggering neuroplasticity through the use of a smart-phone application and mentoring. The program uses neuroplasticity to enable users to create a more adaptive application of their maladaptive traits, thus improving their emotional intelligence. In this study 26 participants underwent the Dharma Life Program in a leadership development setting. We assessed their emotional and social intelligence before and after the Dharma Life Program intervention using the Emotional and Social Competency Inventory (ESCI. The study found a significant improvement in the lowest three competencies and a significant improvement in almost all domains for the entire sample. Our findings suggest that the completion of the Dharma Life Program has a significant positive effect on Emotional and Social Competency scores and offers a new avenue for improving emotional intelligence competencies.

  16. Improving Emotional Intelligence through Personality Development: The Effect of the Smart Phone Application based Dharma Life Program on Emotional Intelligence

    Science.gov (United States)

    Poonamallee, Latha; Harrington, Alex M.; Nagpal, Manisha; Musial, Alec

    2018-01-01

    Emotional intelligence is established to predict success in leadership effectiveness in various contexts and has been linked to personality factors. This paper introduces Dharma Life Program, a novel approach to improving emotional intelligence by targeting maladaptive personality traits and triggering neuroplasticity through the use of a smart-phone application and mentoring. The program uses neuroplasticity to enable users to create a more adaptive application of their maladaptive traits, thus improving their emotional intelligence. In this study 26 participants underwent the Dharma Life Program in a leadership development setting. We assessed their emotional and social intelligence before and after the Dharma Life Program intervention using the Emotional and Social Competency Inventory (ESCI). The study found a significant improvement in the lowest three competencies and a significant improvement in almost all domains for the entire sample. Our findings suggest that the completion of the Dharma Life Program has a significant positive effect on Emotional and Social Competency scores and offers a new avenue for improving emotional intelligence competencies. PMID:29527182

  17. Deducing Energy Consumer Behavior from Smart Meter Data

    DEFF Research Database (Denmark)

    Ebeid, Emad Samuel Malki; Heick, Rune; Jacobsen, Rune Hylsberg

    2017-01-01

    The ongoing upgrade of electricity meters to smart ones has opened a new market of intelligent services to analyze the recorded meter data. This paper introduces an open architecture and a unified framework for deducing user behavior from its smart main electricity meter data and presenting...... the results in a natural language. The framework allows a fast exploration and integration of a variety of machine learning algorithms combined with data recovery mechanisms for improving the recognition’s accuracy. Consequently, the framework generates natural language reports of the user’s behavior from...

  18. A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation

    Directory of Open Access Journals (Sweden)

    Fei Hu

    2013-08-01

    Full Text Available The smart-house technology aims to increase home automation and security with reduced energy consumption. A smart house consists of various intelligent sensors and actuators operating on different platforms with conflicting objectives. This paper proposes a multi-agent system (MAS design framework to achieve smart house automation. The novelties of this work include the developments of (1 belief, desire and intention (BDI agent behavior models; (2 a regulation policy-based multi-agent collaboration mechanism; and (3 a set of metrics for MAS performance evaluation. Simulations of case studies are performed using the Java Agent Development Environment (JADE to demonstrate the advantages of the proposed method.

  19. Smart City: thinking About Urban Intelligence

    Directory of Open Access Journals (Sweden)

    Romano Fistola

    2013-04-01

    Full Text Available Anticipating future urban settings where technologies enable actions and interactions among individuals unimaginable only a few years ago, has always been one of the  research topics most interesting of the urban sciences although probably not sufficiently considered in the town planning field, in the last twenty years.The acceleration towards these issues, which can be generally identified with the name Smart City, has been strong also because of the recent calls of the European Community and the Italian Ministry of Education and Research. In this important change, supported by a number of technology companies, devices and media, it seems experience a discontinuity in the theoretical definition of the processes involved in structuring and management of the Smart City. Numerous investigations on this topic seem to be developed away from urban sciences and away from the main subject area of interest: the urban planning. In this paper we attempt to bring back the dynamics of development of the Smart Cities in their natural site of theoretical development, by recovering operational approaches and methodological references related to the study of the relationship between new technologies and changes inside the urban system, never really considered in order to envisage a new process of urban and regional planning.

  20. Human-Centric Interfaces for Ambient Intelligence

    CERN Document Server

    Aghajan, Hamid; Delgado, Ramon Lopez-Cozar

    2009-01-01

    To create truly effective human-centric ambient intelligence systems both engineering and computing methods are needed. This is the first book to bridge data processing and intelligent reasoning methods for the creation of human-centered ambient intelligence systems. Interdisciplinary in nature, the book covers topics such as multi-modal interfaces, human-computer interaction, smart environments and pervasive computing, addressing principles, paradigms, methods and applications. This book will be an ideal reference for university researchers, R&D engineers, computer engineers, and graduate s

  1. An Effective Wormhole Attack Defence Method for a Smart Meter Mesh Network in an Intelligent Power Grid

    Directory of Open Access Journals (Sweden)

    Jungtaek Seo

    2012-08-01

    Full Text Available Smart meters are one of the key components of intelligent power grids. Wireless mesh networks based on smart meters could provide customer-oriented information on electricity use to the operational control systems, which monitor power grid status and estimate electric power demand. Using this information, an operational control system could regulate devices within the smart grid in order to provide electricity in a cost-efficient manner. Ensuring the availability of the smart meter mesh network is therefore a critical factor in securing the soundness of an intelligent power system. Wormhole attacks can be one of the most difficult-to-address threats to the availability of mesh networks, and although many methods to nullify wormhole attacks have been tried, these have been limited by high computational resource requirements and unnecessary overhead, as well as by the lack of ability of such methods to respond to attacks. In this paper, an effective defense mechanism that both detects and responds to wormhole attacks is proposed. In the proposed system, each device maintains information on its neighbors, allowing each node to identify replayed packets. The effectiveness and efficiency of the proposed method is analyzed in light of additional computational message and memory complexities.

  2. Smart City: Utilization of IT resources to encounter natural disaster

    Science.gov (United States)

    Hartama, D.; Mawengkang, Herman; Zarlis, M.; Sembiring, R. W.

    2017-09-01

    This study proposes a framework for the utilization of IT resources in the face of natural disasters with the concept of Smart City in urban areas, which often face the earthquake, particularly in the city of North Sumatra and Aceh. Smart City is a city that integrates social development, capital, civic participation, and transportation with the use of information technology to support the preservation of natural resources and improved quality of life. Changes in the climate and environment have an impact on the occurrence of natural disasters, which tend to increase in recent decades, thus providing socio-economic impacts for the community. This study suggests a new approach that combines the Geographic Information System (GIS) and Mobile IT-based Android in the form of Geospatial information to encounter disaster. Resources and IT Infrastructure in implementing the Smart Mobility with Mobile service can make urban areas as a Smart City. This study describes the urban growth using the Smart City concept and considers how a GIS and Mobile Systems can increase Disaster Management, which consists of Preparedness, mitigation, response, and recovery for recovery from natural disasters.

  3. Contextual Intelligent Load Management Considering Real Time Pricing in a Smart Grid Environment

    DEFF Research Database (Denmark)

    Gomes, Luis; Fernandes, Filipe; Faria, Pedro

    2013-01-01

    The use of demand response programs enables the adequate use of resources of small and medium players, bringing high benefits to the smart grid, and increasing its efficiency. One of the difficulties to proceed with this paradigm is the lack of intelligence in the management of small and medium...... size players. In order to make demand response programs a feasible solution, it is essential that small and medium players have an efficient energy management and a fair optimization mechanism to decrease the consumption without heavy loss of comfort, making it acceptable for the users. This paper...... addresses the application of real-time pricing in a house that uses an intelligent optimization module involving artificial neural networks....

  4. Smart Aerospace eCommerce: Using Intelligent Agents in a NASA Mission Services Ordering Application

    Science.gov (United States)

    Moleski, Walt; Luczak, Ed; Morris, Kim; Clayton, Bill; Scherf, Patricia; Obenschain, Arthur F. (Technical Monitor)

    2002-01-01

    This paper describes how intelligent agent technology was successfully prototyped and then deployed in a smart eCommerce application for NASA. An intelligent software agent called the Intelligent Service Validation Agent (ISVA) was added to an existing web-based ordering application to validate complex orders for spacecraft mission services. This integration of intelligent agent technology with conventional web technology satisfies an immediate NASA need to reduce manual order processing costs. The ISVA agent checks orders for completeness, consistency, and correctness, and notifies users of detected problems. ISVA uses NASA business rules and a knowledge base of NASA services, and is implemented using the Java Expert System Shell (Jess), a fast rule-based inference engine. The paper discusses the design of the agent and knowledge base, and the prototyping and deployment approach. It also discusses future directions and other applications, and discusses lessons-learned that may help other projects make their aerospace eCommerce applications smarter.

  5. How IoT, AAI Can Contribute to Smart Home and Smart Cities Services - the Role of Innovation

    DEFF Research Database (Denmark)

    Skouby, Knud Erik; Lynggaard, Per; Windekilde, Iwona Maria

    between ICT based infrastructure and innovation. The theory of innovation will be used to explain the phenomenon by which the technological and service innovation transforms existing cities into smart cities. We will demonstrate the innovative use of distributed IoT, CoT, AAI to solve problems in the area...... non-static concepts that evolve over time. To address these challenges the latest information and communication technology (ICT) including its available services is needed. ICT offers a concept that fuels sustainable economic development and a high quality of life together with a wise management...... of natural resources. A valuable smart city ICT infrastructure must be able to integrate the smart homes into a coherent smart city concept. Vitale elements in this concept are Internet of Things (IoT), Clouds of Things (CoT), and Artificial Intelligence (AI). The integration of a smart city, its embedded...

  6. Smart metering gateway works as Smart Home Energy Manager; Smart Metering Gateway als Smart Home Energy Manager

    Energy Technology Data Exchange (ETDEWEB)

    Walter, Klaus-Dieter [SSV Software Systems GmbH, Hannover (Germany)

    2011-07-01

    The installation of smart meters together with real time consumption data visualization doesn't help to save energy CO2 emissions. With regards to refinancing options, the situation in Germany has been quite different since the middle of last year for buildings equipped with a photovoltaic system. If a heat pump system is also present, intelligent energy use in conjunction with smart meters can save considerable amounts of money. A Smart Home Energy Manager (SHEM) automates the energy saving. (orig.)

  7. Smart logistics

    NARCIS (Netherlands)

    Woensel, van T.

    2012-01-01

    This lecture focuses on Smart Logistics referring to these intelligent managerial decisions related to the design, operations and control of the transportation chain processes in an efficient and cost-effective way. The starting point for Smart Logistics is the key observation that the real-life

  8. ARTIFICIAL AND NATURAL INTELLIGENCE IN ANTHROPOGENIC EDUCATIONAL ENVIRONMENTS

    Directory of Open Access Journals (Sweden)

    Sergey F. Sergeev

    2013-01-01

    Full Text Available In the present article we show the link between both artificial and natural intelligence and the system’s complexity during the life-cycle. Autopoetic’s type of living systems determines the differences between natural and artificial intelligence; artificial environments have an influence to the intelligence abilities development. We present the «diffusion intellect» concept where the diffusion intellect is considered as a synergistic unity of natural and artificial intellect in organized environments. 

  9. Integration of nature and technology for smart cities

    CERN Document Server

    Ahuja, Anil

    2016-01-01

    This book is a resumption of the work “Integrated M/E Design: Building Systems Engineering” published by Anil Ahuja in 1997. Together with an international group of authors from the engineering, urban planning, and architecture fields, Mr. Ahuja discussed new trends and paradigms in the smart buildings and smart city sectors and extended the topic of the previous publication from the building to the entire city. A smart, sustainable building is not just about the building itself. There are things happening in the inside of the building and on the outside. A smart building connects the inside with the outside, provides efficiencies on both sides, synchronizes the outside infrastructure with its inside systems, and integrates nature and its occupants in its design. A smart building doesn’t just provide technology solutions. It is about constant exchange between the inside and the outside of the building, the contribution of the building to the quality of the entire neighborhood and the rest of the city, h...

  10. Intelligent Interaction for Human-Friendly Service Robot in Smart House Environment

    Directory of Open Access Journals (Sweden)

    Z. Zenn Bien

    2008-01-01

    Full Text Available The smart house under consideration is a service-integrated complex system to assist older persons and/or people with disabilities. The primary goal of the system is to achieve independent living by various robotic devices and systems. Such a system is treated as a human-in-the loop system in which human- robot interaction takes place intensely and frequently. Based on our experiences of having designed and implemented a smart house environment, called Intelligent Sweet Home (ISH, we present a framework of realizing human-friendly HRI (human-robot interaction module with various effective techniques of computational intelligence. More specifically, we partition the robotic tasks of HRI module into three groups in consideration of the level of specificity, fuzziness or uncertainty of the context of the system, and present effective interaction method for each case. We first show a task planning algorithm and its architecture to deal with well-structured tasks autonomously by a simplified set of commands of the user instead of inconvenient manual operations. To provide with capability of interacting in a human-friendly way in a fuzzy context, it is proposed that the robot should make use of human bio-signals as input of the HRI module as shown in a hand gesture recognition system, called a soft remote control system. Finally we discuss a probabilistic fuzzy rule-based life-long learning system, equipped with intention reading capability by learning human behavioral patterns, which is introduced as a solution in uncertain and time-varying situations.

  11. Smart storage technologies applied to fresh foods: A review.

    Science.gov (United States)

    Wang, Jingyu; Zhang, Min; Gao, Zhongxue; Adhikari, Benu

    2017-06-30

    Fresh foods are perishable, seasonal and regional in nature and their storage, transportation, and preservation of freshness are quite challenging. Smart storage technologies can online detection and monitor the changes of quality parameters and storage environment of fresh foods during storage, so that operators can make timely adjustments to reduce the loss. This article reviews the smart storage technologies from two aspects: online detection technologies and smartly monitoring technologies for fresh foods. Online detection technologies include electronic nose, nuclear magnetic resonance (NMR), near infrared spectroscopy (NIRS), hyperspectral imaging and computer vision. Smartly monitoring technologies mainly include some intelligent indicators for monitoring the change of storage environment. Smart storage technologies applied to fresh foods need to be highly efficient and nondestructive and need to be competitively priced. In this work, we have critically reviewed the principles, applications, and development trends of smart storage technologies.

  12. SMART CITIES INTELLIGENCE SYSTEM (SMACiSYS) INTEGRATING SENSOR WEB WITH SPATIAL DATA INFRASTRUCTURES (SENSDI)

    OpenAIRE

    D. Bhattacharya; M. Painho

    2017-01-01

    The paper endeavours to enhance the Sensor Web with crucial geospatial analysis capabilities through integration with Spatial Data Infrastructure. The objective is development of automated smart cities intelligence system (SMACiSYS) with sensor-web access (SENSDI) utilizing geomatics for sustainable societies. There has been a need to develop automated integrated system to categorize events and issue information that reaches users directly. At present, no web-enabled information system exists...

  13. Smart Home, Smart Grid, Smart Meter - digitale Konzepte und das Recht an Daten

    Science.gov (United States)

    Spiecker genannt Döhmann, Indra

    Modernes Energiemanagement setzt auf ein intelligent gesteuertes Energieinformationsnetz, das Smart Grid. In diesem ist der Smart Meter, die intelligente Messstelle beim Nutzer, ein zentrales Instrument für den wechselseitigen Austausch von Informationen. Allerdings werfen die über diverse Gesetze forcierten Informationsströme erhebliche datenschutzrechtliche Fragen auf. Der Beitrag stellt zentrale datenschutzrechtliche Leitlinien und Probleme vor und behandelt auch offene Fragestellungen.

  14. Swarm Intelligence-Based Smart Energy Allocation Strategy for Charging Stations of Plug-In Hybrid Electric Vehicles

    Directory of Open Access Journals (Sweden)

    Imran Rahman

    2015-01-01

    Full Text Available Recent researches towards the use of green technologies to reduce pollution and higher penetration of renewable energy sources in the transportation sector have been gaining popularity. In this wake, extensive participation of plug-in hybrid electric vehicles (PHEVs requires adequate charging allocation strategy using a combination of smart grid systems and smart charging infrastructures. Daytime charging stations will be needed for daily usage of PHEVs due to the limited all-electric range. Intelligent energy management is an important issue which has already drawn much attention of researchers. Most of these works require formulation of mathematical models with extensive use of computational intelligence-based optimization techniques to solve many technical problems. In this paper, gravitational search algorithm (GSA has been applied and compared with another member of swarm family, particle swarm optimization (PSO, considering constraints such as energy price, remaining battery capacity, and remaining charging time. Simulation results obtained for maximizing the highly nonlinear objective function evaluate the performance of both techniques in terms of best fitness.

  15. Smart market. From smart grid to the intelligent energy market

    International Nuclear Information System (INIS)

    Aichele, Christian; Doleski, Oliver D.

    2014-01-01

    Dare more market. - The design of this postulate provides an important contribution to the success of the German energy transition. The Bundesnetzagentur has shown with its highly regarded benchmark paper on smart grids and markets leads the way towards more market in the energy sector. The therein required differentiation in a network and market sphere contributes to greater transparency on the consumer side and enables a gid releaving shift in energy consumption. The book focuses on actors and roles in the modified market circumstances as well as components and products of a future Smart Markets. Finally, to the reader concrete business models are offered. Authors from science and practice give in this book answers on how the interaction of Smart Grid and Smart Market works. [de

  16. Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City

    Science.gov (United States)

    Guo, Kun; Lu, Yueming; Gao, Hui; Cao, Ruohan

    2018-01-01

    Smart city (SC) technologies can provide appropriate services according to citizens’ demands. One of the key enablers in a SC is the Internet of Things (IoT) technology, which enables a massive number of devices to connect with each other. However, these devices usually come from different manufacturers with different product standards, which confront interactive control problems. Moreover, these devices will produce large amounts of data, and efficiently analyzing these data for intelligent services. In this paper, we propose a novel artificial intelligence-based semantic IoT (AI-SIoT) hybrid service architecture to integrate heterogeneous IoT devices to support intelligent services. In particular, the proposed architecture is empowered by semantic and AI technologies, which enable flexible connections among heterogeneous devices. The AI technology can support very implement efficient data analysis and make accurate decisions on service provisions in various kinds. Furthermore, we also present several practical use cases of the proposed AI-SIoT architecture and the opportunities and challenges to implement the proposed AI-SIoT for future SCs are also discussed. PMID:29701679

  17. Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City

    Directory of Open Access Journals (Sweden)

    Kun Guo

    2018-04-01

    Full Text Available Smart city (SC technologies can provide appropriate services according to citizens’ demands. One of the key enablers in a SC is the Internet of Things (IoT technology, which enables a massive number of devices to connect with each other. However, these devices usually come from different manufacturers with different product standards, which confront interactive control problems. Moreover, these devices will produce large amounts of data, and efficiently analyzing these data for intelligent services. In this paper, we propose a novel artificial intelligence-based semantic IoT (AI-SIoT hybrid service architecture to integrate heterogeneous IoT devices to support intelligent services. In particular, the proposed architecture is empowered by semantic and AI technologies, which enable flexible connections among heterogeneous devices. The AI technology can support very implement efficient data analysis and make accurate decisions on service provisions in various kinds. Furthermore, we also present several practical use cases of the proposed AI-SIoT architecture and the opportunities and challenges to implement the proposed AI-SIoT for future SCs are also discussed.

  18. Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City.

    Science.gov (United States)

    Guo, Kun; Lu, Yueming; Gao, Hui; Cao, Ruohan

    2018-04-26

    Smart city (SC) technologies can provide appropriate services according to citizens’ demands. One of the key enablers in a SC is the Internet of Things (IoT) technology, which enables a massive number of devices to connect with each other. However, these devices usually come from different manufacturers with different product standards, which confront interactive control problems. Moreover, these devices will produce large amounts of data, and efficiently analyzing these data for intelligent services. In this paper, we propose a novel artificial intelligence-based semantic IoT (AI-SIoT) hybrid service architecture to integrate heterogeneous IoT devices to support intelligent services. In particular, the proposed architecture is empowered by semantic and AI technologies, which enable flexible connections among heterogeneous devices. The AI technology can support very implement efficient data analysis and make accurate decisions on service provisions in various kinds. Furthermore, we also present several practical use cases of the proposed AI-SIoT architecture and the opportunities and challenges to implement the proposed AI-SIoT for future SCs are also discussed.

  19. Defining a convergence network platform framework for smart grid and intelligent transport systems

    International Nuclear Information System (INIS)

    Coronado Mondragon, Adrian E.; Coronado, Etienne S.; Coronado Mondragon, Christian E.

    2015-01-01

    The challenges faced by electricity grids suggest smart grids will have to coordinate its operation with other important initiatives in areas such as transportation. The smart grid relies on the use of network platforms where meter readings and data can be transmitted. On the other hand, concerning transportation systems the need to achieve a reduction of road congestion and traffic accidents among the increasing use of electric vehicles has consolidated the importance of ITS (intelligent transport systems). Given the magnitude of the challenges faced by both the smart grid and ITS, the aim of this work is to identify the elements comprising a convergence platform capable of supporting future services for data traffic associated to smart grid operations as well as ITS-related commercial service applications and road traffic safety messaging. A seaport terminal scenario is used to present a convergence network platform incorporating WSN (wireless sensor network) theory. The results of the simulation of the proposed network confirms the suitability of WSN to be used in the transmission of data traffic associated to meter readings which is required for effective energy consumption and management policies in industrial environments comprising equipment with high energy demands. - Highlights: • Common needs/challenges of smart grid/ITS can be addressed by a convergence network platform. • VANETs are identified as key components of the smart grid/ITS convergence network platform. • WSN (Wireless Sensor Network) theory is suitable for the transmission of data traffic associated to meter readings. • The amount of energy supplied to the network is low but enough to support data traffic required in industrial environments. • WSN supports the steady exchange of packets as characterized in industrial environments like seaports

  20. Design a Smart Control Strategy to Implement an Intelligent Energy Safety and Management System

    OpenAIRE

    Jing-Min Wang; Ming-Ta Yang

    2014-01-01

    The energy saving and electricity safety are today a cause for increasing concern for homes and buildings. Integrating the radio frequency identification (RFID) and ZigBee wireless sensor network (WSN) mature technologies, the paper designs a smart control strategy to implement an intelligent energy safety and management system (IESMS) which performs energy measuring, controlling, monitoring, and saving of the power outlet system. The presented RFID and billing module is used to identify user...

  1. Insights on the Nature of Intelligence from Ordinary Discourse.

    Science.gov (United States)

    Derr, Richard L.

    1989-01-01

    The use of "intelligence" in ordinary discourse is analyzed to glean hypotheses that may resolve the debate among psychologists regarding the nature of intelligence. Intelligence is conceived as an innate intellectual capacity, and a sharp conceptual distinction is made between intelligence and intelligent behavior. (Author/TJH)

  2. Towards a conceptual framework of OSH risk management in smart working environments based on smart PPE, ambient intelligence and the Internet of Things technologies.

    Science.gov (United States)

    Podgórski, Daniel; Majchrzycka, Katarzyna; Dąbrowska, Anna; Gralewicz, Grzegorz; Okrasa, Małgorzata

    2017-03-01

    Recent developments in domains of ambient intelligence (AmI), Internet of Things, cyber-physical systems (CPS), ubiquitous/pervasive computing, etc., have led to numerous attempts to apply ICT solutions in the occupational safety and health (OSH) area. A literature review reveals a wide range of examples of smart materials, smart personal protective equipment and other AmI applications that have been developed to improve workers' safety and health. Because the use of these solutions modifies work methods, increases complexity of production processes and introduces high dynamism into thus created smart working environments (SWE), a new conceptual framework for dynamic OSH management in SWE is called for. A proposed framework is based on a new paradigm of OSH risk management consisting of real-time risk assessment and the capacity to monitor the risk level of each worker individually. A rationale for context-based reasoning in SWE and a respective model of the SWE-dedicated CPS are also proposed.

  3. Traffic Information Systems for Smart Mobility as part of Smart Cities

    OpenAIRE

    Suske, David; Touko Tcheumadjeu, Louis Calvin; Sohr, Alexander; Xiaoxu, Bei

    2016-01-01

    The unlimited and unrestricted mobility of people and goods in urban areas is one of the key factors for economic and social development of the city. Today with the availability of smart technologies and various intelligent transportation and telematics solutions the Smart Mobility as part of a Smart City is possible to maintain the mobility ecosystem in the city. But to make the urban mobility smart by assuring the sustainability, safety, low emission and comfort in urban transport new mobil...

  4. Intelligent Observation Strategies for Geosynchronous Remote Sensing for Natural Hazards

    Science.gov (United States)

    Moe, K.; Cappelaere, P. G.; Frye, S. W.; LeMoigne, J.; Mandl, D.; Flatley, T.; Geist, A.

    2015-12-01

    Geosynchronous satellites offer a unique perspective for monitoring environmental factors important to understanding natural hazards and supporting the disasters management life cycle, namely forecast, detection, response, recovery and mitigation. In the NASA decadal survey for Earth science, the GEO-CAPE mission was proposed to address coastal and air pollution events in geosynchronous orbit, complementing similar initiatives in Asia by the South Koreans and by ESA in Europe, thereby covering the northern hemisphere. In addition to analyzing the challenges of identifying instrument capabilities to meet the science requirements, and the implications of hosting the instrument payloads on commercial geosynchronous satellites, the GEO-CAPE mission design team conducted a short study to explore strategies to optimize the science return for the coastal imaging instrument. The study focused on intelligent scheduling strategies that took into account cloud avoidance techniques as well as onboard processing methods to reduce the data storage and transmission loads. This paper expands the findings of that study to address the use of intelligent scheduling techniques and near-real time data product acquisition of both the coastal water and air pollution events. The topics include the use of onboard processing to refine and execute schedules, to detect cloud contamination in observations, and to reduce data handling operations. Analysis of state of the art flight computing capabilities will be presented, along with an assessment of cloud detection algorithms and their performance characteristics. Tools developed to illustrate operational concepts will be described, including their applicability to environmental monitoring domains with an eye to the future. In the geostationary configuration, the payload becomes a networked "thing" with enough connectivity to exchange data seamlessly with users. This allows the full field of view to be sensed at very high rate under the

  5. Intelligent Observation Strategies for Geosynchronous Remote Sensing for Natural Hazards

    Science.gov (United States)

    Moe, Karen; Cappleare, Patrice; Frye, Stuart; LeMoigne, Jacqueline; Mandl, Daniel; Flatley, Thomas; Geist, Alessandro

    2015-01-01

    Geosynchronous satellites offer a unique perspective for monitoring environmental factors important to understanding natural hazards and supporting the disasters management life cycle, namely forecast, detection, response, recovery and mitigation. In the NASA decadal survey for Earth science, the GEO-CAPE mission was proposed to address coastal and air pollution events in geosynchronous orbit, complementing similar initiatives in Asia by the South Koreans and by ESA in Europe, thereby covering the northern hemisphere. In addition to analyzing the challenges of identifying instrument capabilities to meet the science requirements, and the implications of hosting the instrument payloads on commercial geosynchronous satellites, the GEO-CAPE mission design team conducted a short study to explore strategies to optimize the science return for the coastal imaging instrument. The study focused on intelligent scheduling strategies that took into account cloud avoidance techniques as well as onboard processing methods to reduce the data storage and transmission loads. This paper expands the findings of that study to address the use of intelligent scheduling techniques and near-real time data product acquisition of both the coastal water and air pollution events. The topics include the use of onboard processing to refine and execute schedules, to detect cloud contamination in observations, and to reduce data handling operations. Analysis of state of the art flight computing capabilities will be presented, along with an assessment of cloud detection algorithms and their performance characteristics. Tools developed to illustrate operational concepts will be described, including their applicability to environmental monitoring domains with an eye to the future. In the geostationary configuration, the payload becomes a networked thing with enough connectivity to exchange data seamlessly with users. This allows the full field of view to be sensed at very high rate under the control

  6. Smart meter incorporating UWB technology

    NARCIS (Netherlands)

    Khan, T.A.; Khan, A.B.; Babar, M.; Taj, T.A.

    2014-01-01

    Smart Meter is a key element in the evolving concept of Smart Grid, which plays an important role in interaction between the consumer and the supplier. In general, the smart meter is an intelligent digital energy meter that measures the consumption of electrical energy and provides other additional

  7. Smart City Through a Flexible Approach to Smart Energy

    Science.gov (United States)

    Mutule, A.; Teremranova, J.; Antoskovs, N.

    2018-02-01

    The paper provides an overview of the development trends of the smart city. Over the past decades, the trend of the new urban model called smart city has been gaining momentum, which is an aggregate of the latest technologies, intelligent administration and conscious citizens, which allows the city to actively develop, and effectively and efficiently solve the problems it is facing. Profound changes are also taking place in the energy sector. Researchers and other specialists offer a wide variety of innovative solutions and approaches for the concepts of intelligent cities. The paper reviews and analyses the existing methodological solutions in the field of power industry, as well as provides recommendations how to introduce the common platform on the basis of disparate sources of information on energy resources existing in the city as an optimal solution for developing the city's intelligence, flexibility and sustainability based on its starting conditions.

  8. Smart meters. Smart metering. A solution module for a future-oriented energy system; Intelligente Zaehler. Smart Metering. Ein Loesungsbaustein fuer ein zukunftsfaehiges Energiesystem

    Energy Technology Data Exchange (ETDEWEB)

    Grimm, Nadia; Seidl, Hans [comps.

    2011-12-15

    The German Energy Agency GmbH (Berlin, Federal Republic of Germany) reports on smart metering as a solution module for a future-oriented energy system by means of the following contributions: (1) Key role for smart meters; (2) What is smart metering? (3) Implementation of smart metering in Europe; (4) The market development to date in Germany; (5) Practical experiences with smart metering in Germany; (6) Frequently asked questions; (7) Smart metering in intelligent networks; (8) Legal framework conditions; (9) Data security and data protection in the utilisation of smart meters; (10) Ongoing information; (11) Efficient energy systems.

  9. Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent

    Directory of Open Access Journals (Sweden)

    K. Yang

    2016-10-01

    Full Text Available A smart home can be realized by the provision of services, such as building control, automation and security implemented in accordance with a user’s request. One of the important issues is how to respond quickly and appropriately to a user’s request in a “dynamic environment”. An intelligent agent infers the user’s intention and provides the intact service. This paper proposes a smart home agent system based on a hierarchical hybrid architecture of a user intention model, which models the user intention as a hierarchical structure and implements it in a dynamic environment. The conventional rule-based approach needs to obtain all information before it is executed, which requires a large number of rules and is hardly scalable as the control objects are increasing. On the other hand, the proposed system consists of several modules that construct a hierarchical user intention model. The smart home system needs to take account of the information, such as time, state of device and state of the home, in addition to users’ intention. We evaluate the performance of the proposed system in a dynamic environment and conduct a blind test with seven subjects to measure the satisfaction of service, resulting in the average score of 81.46.

  10. Design and Implementation of an Intelligent Windowsill System Using Smart Handheld Device and Fuzzy Microcontroller.

    Science.gov (United States)

    Wang, Jing-Min; Yang, Ming-Ta; Chen, Po-Lin

    2017-04-11

    With the advance of science and technology, people have a desire for convenient and comfortable living. Creating comfortable and healthy indoor environments is a major consideration for designing smart homes. As handheld devices become increasingly powerful and ubiquitous, this paper proposes an innovative use of smart handheld devices (SHD), using MIT App Inventor and fuzzy control, to perform the real-time monitoring and smart control of the designed intelligent windowsill system (IWS) in a smart home. A compact weather station that consists of environment sensors was constructed in the IWS for measuring of indoor illuminance, temperature-humidity, carbon dioxide (CO₂) concentration and outdoor rain and wind direction. According to the measured environment information, the proposed system can automatically send a command to a fuzzy microcontroller performed by Arduino UNO to fully or partly open the electric curtain and electric window for adapting to climate changes in the indoor and outdoor environment. Moreover, the IWS can automatically close windows for rain splashing on the window. The presented novel control method for the windowsill not only expands the SHD applications, but greatly enhances convenience to users. To validate the feasibility and effectiveness of the IWS, a laboratory prototype was built and confirmed experimentally.

  11. A multi-agent approach to intelligent monitoring in smart grids

    Science.gov (United States)

    Vallejo, D.; Albusac, J.; Glez-Morcillo, C.; Castro-Schez, J. J.; Jiménez, L.

    2014-04-01

    In this paper, we propose a scalable multi-agent architecture to give support to smart grids, paying special attention to the intelligent monitoring of distribution substations. The data gathered by multiple sensors are used by software agents that are responsible for monitoring different aspects or events of interest, such as normal voltage values or unbalanced intensity values that can end up blowing fuses and decreasing the quality of service of end consumers. The knowledge bases of these agents have been built by means of a formal model for normality analysis that has been successfully used in other surveillance domains. The architecture facilitates the integration of new agents and can be easily configured and deployed to monitor different environments. The experiments have been conducted over a power distribution network.

  12. Smart cities atlas Western and Eastern intelligent communities

    CERN Document Server

    Sanseverino, Raffaella; Vaccaro, Valentina

    2017-01-01

    The book discusses the concept of the smart city, and is based on a multi-service and multi-sectoral approach to urban planning, including various urban functions and the human capital of cities. The work is divided into three parts. The first is an introductory section which covers definitions, policies and tools used at European level for the development and classification of a smart city. The second presents a selection of examples of Western and Eastern communities, which experienced technologies and strategies that have made them smart. The third describes in detail the main three possible approaches (economical, technological and social) to the smart city concept which are the focus ambits of the holistic concept of smart city. The work provides a good overview of the concept of smart city, and also offers a critical analysis of the various approaches to smart cities, in order to provide tools to develop solutions that address the smart development of cities with an approach as multi-sectoral as possibl...

  13. Smart market. From smart grid to the intelligent energy market; Smart Market. Vom Smart Grid zum intelligenten Energiemarkt

    Energy Technology Data Exchange (ETDEWEB)

    Aichele, Christian [Hochschule Kaiserslautern, Zweibruecken (Germany). Fachbereich Betriebswirtschaft; Doleski, Oliver D. (ed.)

    2014-07-01

    Dare more market. - The design of this postulate provides an important contribution to the success of the German energy transition. The Bundesnetzagentur has shown with its highly regarded benchmark paper on smart grids and markets leads the way towards more market in the energy sector. The therein required differentiation in a network and market sphere contributes to greater transparency on the consumer side and enables a gid releaving shift in energy consumption. The book focuses on actors and roles in the modified market circumstances as well as components and products of a future Smart Markets. Finally, to the reader concrete business models are offered. Authors from science and practice give in this book answers on how the interaction of Smart Grid and Smart Market works. [German] Mehr Markt wagen. - Die Ausgestaltung dieses Postulats liefert einen wichtigen Beitrag zum Gelingen der deutschen Energiewende. Die Bundesnetzagentur hat mit ihrem vielbeachteten Eckpunktepapier zu intelligenten Netzen und Maerkten diesen Weg in Richtung mehr Markt in der Energiewirtschaft gewiesen. Die darin geforderte Differenzierung in eine Netz- und Marktsphaere traegt zu mehr Transparenz auf der Verbraucherseite bei und ermoeglicht eine netzentlastende Verlagerung des Energieverbrauchs. Das Buch beleuchtet Akteure und Rollen im geaenderten Marktumfeld ebenso wie Komponenten und Produkte eines zukuenftigen Smart Markets. Schliesslich werden dem Leser konkrete Geschaeftsmodelle angeboten. Autoren aus Wissenschaft und Praxis geben in diesem Buch Antworten darauf, wie das Zusammenspiel von Smart Grid und Smart Market funktioniert.

  14. On the Nature of Intelligence

    Science.gov (United States)

    Churchland, Paul M.

    Alan Turing is the consensus patron saint of the classical research program in Artificial Intelligence (AI), and his behavioral test for the possession of conscious intelligence has become his principal legacy in the mind of the academic public. Both takes are mistakes. That test is a dialectical throwaway line even for Turing himself, a tertiary gesture aimed at softening the intellectual resistance to a research program which, in his hands, possessed real substance, both mathematical and theoretical. The wrangling over his celebrated test has deflected attention away from those more substantial achievements, and away from the enduring obligation to construct a substantive theory of what conscious intelligence really is, as opposed to an epistemological account of how to tell when you are confronting an instance of it. This essay explores Turing's substantive research program on the nature of intelligence, and argues that the classical AI program is not its best expression, nor even the expression intended by Turing. It then attempts to put the famous Test into its proper, and much reduced, perspective.

  15. Mini Smart Grid @ Copenhagen Business School

    DEFF Research Database (Denmark)

    Pedersen, Rasmus U.; Furtak, Simon J.; Häuser, Ivan

    2013-01-01

    Project Smart Grid: The Intelligent Electrical System Is the Way Forward In 2012 Peter Møllgaard from Department of Economics and Rasmus Pedersen from Department of IT Management initiated a new project supported by CBS Sustainability Platform. The purpose of the project is to establish an unders......Project Smart Grid: The Intelligent Electrical System Is the Way Forward In 2012 Peter Møllgaard from Department of Economics and Rasmus Pedersen from Department of IT Management initiated a new project supported by CBS Sustainability Platform. The purpose of the project is to establish...... an understanding of micro-economic and IT challenges related to Smart Grid technology. The mini-smart-grid project at Copenhagen Business School (MSC@CBS) project seeks to investigate the business opportunities and issues that arise from this new technology. The project revolves around the concepts of Smart Grids......, Smart Meters and prosumers. Smart Grids are a new method of managing electricity and power supply. It has not reached its full potential yet, but it offers a more interactive platform for both the consumer and the main supplier e.g. Dong Energy. The Smart Grid will collect and control the behavior...

  16. IoT Smart Home Adoption: The Importance of Proper Level Automation

    Directory of Open Access Journals (Sweden)

    Heetae Yang

    2018-01-01

    Full Text Available The word “smart” has been used in various fields and is widely accepted to mean intelligence. Smart home service, one of the representative emerging technologies in the IoT era, has changed house equipment into being more intelligent, remote controllable, and interconnected. However, the intelligence and controllability of a smart home service are contradictory concepts, under certain aspects. In addition, the level of intelligence or controllability of a smart home service that users want may differ according to the user. As potential users of smart home services have diversified in recent years, providing the appropriate functions and features is critical to the diffusion of the service. Thus, this study examines the smart home service features that current users require and empirically evaluates the relationship between the critical factors and the adoption behavior with 216 samples from Korea. The moderating effect of personal characteristics on behavior is also tested. The results of the analysis provide various theoretical and practical implications.

  17. Smart Cities and the Ageing Population

    DEFF Research Database (Denmark)

    Skouby, Knud Erik; Kivimäki, Anri; Haukiputo, Lotta

    Due to a growing number of elderly people, it is a necessity to create the cities that are aware of the special needs of all their citizens including the needs of aging populations. This paper shows that by combining smart homes with smart cities, we are able to provide an ICT infrastructure...... population to support independent elderly living. Using ICT in a smart city/home context can provide personalized health care, social services and intelligent community services. Homecare systems for elderly people are becoming important due to economic reasons as well as patients’ preferences. The expected...... and 3D virtual world design. In this paper we will discuss how the recent development in ICT, and its particular components, Internet of Things (IoT), Clouds of Things, the Advanced Artificial Intelligence, can become building blocks between elderly people, smart homes and smart cities. Also, we...

  18. Survey report on smart-tribo-mechanics; Smart tribo mechanics

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    Survey results of smart-tribo-mechanics are described. For the smart-tribo-mechanics differing from the conventional tribology, an intelligent system is constructed by making full use of various science and technology ranging from basic to application, to solve problems. Self-diagnosis and self-remediation, active control, passive control, and smart-biotribo-mechanics are typical methods. Electronics, telecommunication, healthcare, and new biotechnology are new and advanced application areas. In these areas, tribology to control and act to the material surface in the atomic and molecular scale should be the key technology. In addition, the smart-tribo-mechanics is expected to be used for sustaining basic industry, such as material, transportation, and life industries. 101 refs., 67 figs., 14 tabs.

  19. Smart Home and Smart City Solutions enabled by 5G, IoT, AAI and CoT Services

    DEFF Research Database (Denmark)

    Skouby, Knud Erik; Lynggaard, Per

    2014-01-01

    Future 5G technologies are expected to connect the world from the largest megacities to the smallest internet of things in an always online fashion. Such a connected hierarchy must combine the smart cities, the smart homes, and the internet of things into one large coherent infrastructure...... such as interconnected internet of things, smart homes with artificial intelligence, and a platform for new combined smart home and smart city services based on big-data....

  20. Smart homes as a base for smart grids; Smart Home als Basis fuer Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Segbusch, Klaus von [ABB AG, Mannheim (Germany). Team Business Development Smart Grids; Struwe, Christian [Busch-Jaeger Elektro GmbH, Luedenscheid (Germany)

    2010-09-15

    Integration of renewable energy sources requires more intelligent distribution systems, i.e. so-called smart grids. For this, it is necessary to integrate the end customers in grid operation, giving them financial incentives, information in near real time from the utility, and means for automatic control of their consumption. (orig.)

  1. A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework

    Science.gov (United States)

    Hernández, Luis; Baladrón, Carlos; Aguiar, Javier M.; Calavia, Lorena; Carro, Belén; Sánchez-Esguevillas, Antonio; Cook, Diane J.; Chinarro, David; Gómez, Jorge

    2012-01-01

    One of the main challenges of today's society is the need to fulfill at the same time the two sides of the dichotomy between the growing energy demand and the need to look after the environment. Smart Grids are one of the answers: intelligent energy grids which retrieve data about the environment through extensive sensor networks and react accordingly to optimize resource consumption. In order to do this, the Smart Grids need to understand the existing relationship between energy demand and a set of relevant climatic variables. All smart “systems” (buildings, cities, homes, consumers, etc.) have the potential to employ their intelligence for self-adaptation to climate conditions. After introducing the Smart World, a global framework for the collaboration of these smart systems, this paper presents the relationship found at experimental level between a range of relevant weather variables and electric power demand patterns, presenting a case study using an agent-based system, and emphasizing the need to consider this relationship in certain Smart World (and specifically Smart Grid and microgrid) applications.

  2. 9th International Symposium on Intelligent Distributed Computing

    CERN Document Server

    Camacho, David; Analide, Cesar; Seghrouchni, Amal; Badica, Costin

    2016-01-01

    This book represents the combined peer-reviewed proceedings of the ninth International Symposium on Intelligent Distributed Computing – IDC’2015, of the Workshop on Cyber Security and Resilience of Large-Scale Systems – WSRL’2015, and of the International Workshop on Future Internet and Smart Networks – FI&SN’2015. All the events were held in Guimarães, Portugal during October 7th-9th, 2015. The 46 contributions published in this book address many topics related to theory and applications of intelligent distributed computing, including: Intelligent Distributed Agent-Based Systems, Ambient Intelligence and Social Networks, Computational Sustainability, Intelligent Distributed Knowledge Representation and Processing, Smart Networks, Networked Intelligence and Intelligent Distributed Applications, amongst others.

  3. Smart Service Portfolios: Do the Cities Follow Standards?

    NARCIS (Netherlands)

    Anthopoulos, Leonidas; Janssen, M.F.W.H.A.; Weerakkody, Vishanth

    2016-01-01

    Smart services concern the core element of a smart city, since they support the realization of urban "intelligence" in terms of people, economy, governance, environment, mobility and leaving. Smart services aim to enhance quality of life within a city and in this respect to improve "livability". The

  4. Smart Home Dashboard. The intelligent energy management; Smart Home Dashboard. Das intelligente Energiemanagement

    Energy Technology Data Exchange (ETDEWEB)

    Stopczynski, Martin; Ghiglieri, Marco [Technische Univ. Darmstadt (Germany). Fachgebiet Sicherheit in der Informationstechnik

    2012-07-01

    Due to an increasingly smarter environment, however smart home components are used in households. A variety of household appliances can be monitored and controlled by smart plugs. An advantage of this development is the individual investigation of devices in terms of individual power consumption. However, the usability of the end user side also increases proportional to the number of existing devices. A possible access of external market participants is not currently implemented without major security problems. The authors of the contribution under consideration report on the Smart Home Dashboard, which provides a comprehensive power management. The smart home dashboard is intuitively operable and meets current safety standards. The aim of this paper is: (1) Adjustment of the handling of the recorded data to the current privacy policy; (2) Enforcement of the privacy of the end user by means of the implementation of smart grid protection objectives; (3) Providing a secure access for remote participants.

  5. European and Italian experience of Smart Cities: A model for the smart planning of city built

    Directory of Open Access Journals (Sweden)

    Starlight Vattano

    2013-05-01

    Full Text Available The construction of the city through smart measures is now a frontier reached from many cities in the world. The built environment requires smart planning able to relate urban realities that are relegated to a marginal change. But how does the smart cities can create a relationship between sustainable cities of the future and their heritage? The article highlights the way of smart urban transformation of reality European and Italian proposing critical comparisons from which to infer smart parameters most used and easy to apply for the sustainable construction of these smart cities focusing on the urban sources of intelligent retrieval for quality their historical and cultural heritage.

  6. Implementation of the smart grid for Canadian electric utilities

    Energy Technology Data Exchange (ETDEWEB)

    Zimmer, R. [Continental Automated Buildings Association, Ottawa, ON (Canada)

    2009-07-01

    The Continental Automated Buildings Association (CABA) provides a knowledge-based forum for the advancement of automation technology and integrated systems in the construction industry. This presentation discussed 2-way communications and advanced control systems designed to enable smart grid applications in buildings. The integration of IT and energy technologies will involve a network of switches, routers, and software devices with unique internet protocol (IP) addresses. Technologies will include sensors, meters, smart components, and power electronics, which will be integrated with building automation systems and building energy management tools. Added benefits of intelligent building technologies will include improved high speed internet and voice communications systems. An oBIX ethernet architecture was proposed to address the many protocols and standards required for smart building applications. Technology usage and purchase plans that consumers are now considering include smart telephony, telepresence, and intelligent bathrooms. It was concluded that the use of intelligent technologies in buildings will reduce energy consumption levels and greenhouse gas (GHG) emissions. tabs., figs.

  7. Smart materials on the way to theranostic nanorobots: Molecular machines and nanomotors, advanced biosensors, and intelligent vehicles for drug delivery.

    Science.gov (United States)

    Sokolov, Ilya L; Cherkasov, Vladimir R; Tregubov, Andrey A; Buiucli, Sveatoslav R; Nikitin, Maxim P

    2017-06-01

    Theranostics, a fusion of two key parts of modern medicine - diagnostics and therapy of the organism's disorders, promises to bring the efficacy of medical treatment to a fundamentally new level and to become the basis of personalized medicine. Extrapolating today's progress in the field of smart materials to the long-run prospect, we can imagine future intelligent agents capable of performing complex analysis of different physiological factors inside the living organism and implementing a built-in program thereby triggering a series of therapeutic actions. These agents, by analogy with their macroscopic counterparts, can be called nanorobots. It is quite obscure what these devices are going to look like but they will be more or less based on today's achievements in nanobiotechnology. The present Review is an attempt to systematize highly diverse nanomaterials, which may potentially serve as modules for theranostic nanorobotics, e.g., nanomotors, sensing units, and payload carriers. Biocomputing-based sensing, externally actuated or chemically "fueled" autonomous movement, swarm inter-agent communication behavior are just a few inspiring examples that nanobiotechnology can offer today for construction of truly intelligent drug delivery systems. The progress of smart nanomaterials toward fully autonomous drug delivery nanorobots is an exciting prospect for disease treatment. Synergistic combination of the available approaches and their further development may produce intelligent drugs of unmatched functionality. Copyright © 2017 Elsevier B.V. All rights reserved.

  8. A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework

    Directory of Open Access Journals (Sweden)

    David Chinarro

    2012-08-01

    Full Text Available One of the main challenges of today’s society is the need to fulfill at the same time the two sides of the dichotomy between the growing energy demand and the need to look after the environment. Smart Grids are one of the answers: intelligent energy grids which retrieve data about the environment through extensive sensor networks and react accordingly to optimize resource consumption. In order to do this, the Smart Grids need to understand the existing relationship between energy demand and a set of relevant climatic variables. All smart “systems” (buildings, cities, homes, consumers, etc. have the potential to employ their intelligence for self-adaptation to climate conditions. After introducing the Smart World, a global framework for the collaboration of these smart systems, this paper presents the relationship found at experimental level between a range of relevant weather variables and electric power demand patterns, presenting a case study using an agent-based system, and emphasizing the need to consider this relationship in certain Smart World (and specifically Smart Grid and microgrid applications.

  9. Smart Grid Security A Smart Meter-Centric Perspective

    DEFF Research Database (Denmark)

    Vigo, Roberto; Yuksel, Ender; Ramli, Carroline Dewi Puspa Kencana

    2012-01-01

    , leading to what is known as the Smart Grid. The development of this Cyber-Physical System introduces new security issues, thus calling for efforts in studying possible attacks and devising suitable countermeasures. In this paper, we review a generic model for the Smart Grid, and present possible attacks......The electricity grid is a key infrastructure for our society, therefore its security is a critical public concern. This physical system is becoming more and more complex as it is coupled with a cyber layer carrying information about power usage and control instructions for intelligent appliances...

  10. The role of advanced sensing in smart cities.

    Science.gov (United States)

    Hancke, Gerhard P; Silva, Bruno de Carvalho E; Hancke, Gerhard P

    2012-12-27

    In a world where resources are scarce and urban areas consume the vast majority of these resources, it is vital to make cities greener and more sustainable. Advanced systems to improve and automate processes within a city will play a leading role in smart cities. From smart design of buildings, which capture rain water for later use, to intelligent control systems, which can monitor infrastructures autonomously, the possible improvements enabled by sensing technologies are immense. Ubiquitous sensing poses numerous challenges, which are of a technological or social nature. This paper presents an overview of the state of the art with regards to sensing in smart cities. Topics include sensing applications in smart cities, sensing platforms and technical challenges associated with these technologies. In an effort to provide a holistic view of how sensing technologies play a role in smart cities, a range of applications and technical challenges associated with these applications are discussed. As some of these applications and technologies belong to different disciplines, the material presented in this paper attempts to bridge these to provide a broad overview, which can be of help to researchers and developers in understanding how advanced sensing can play a role in smart cities.

  11. Smart sensors and systems

    CERN Document Server

    Kyung, Chong-Min; Yasuura, Hiroto; Liu, Yongpan

    2015-01-01

     This book describes for readers technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoTs).  The authors provide a multidisciplinary view of sensor technology from MEMS, biological, chemical, and electrical domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc.  Unlike earlier books on sensors, this book will provide a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms.  .

  12. Nature-inspired design of hybrid intelligent systems

    CERN Document Server

    Castillo, Oscar; Kacprzyk, Janusz

    2017-01-01

    This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as...

  13. Prototyping a Web-of-Energy Architecture for Smart Integration of Sensor Networks in Smart Grids Domain

    Science.gov (United States)

    Vernet, David; Corral, Guiomar

    2018-01-01

    Sensor networks and the Internet of Things have driven the evolution of traditional electric power distribution networks towards a new paradigm referred to as Smart Grid. However, the different elements that compose the Information and Communication Technologies (ICTs) layer of a Smart Grid are usually conceived as isolated systems that typically result in rigid hardware architectures which are hard to interoperate, manage, and to adapt to new situations. If the Smart Grid paradigm has to be presented as a solution to the demand for distributed and intelligent energy management system, it is necessary to deploy innovative IT infrastructures to support these smart functions. One of the main issues of Smart Grids is the heterogeneity of communication protocols used by the smart sensor devices that integrate them. The use of the concept of the Web of Things is proposed in this work to tackle this problem. More specifically, the implementation of a Smart Grid’s Web of Things, coined as the Web of Energy is introduced. The purpose of this paper is to propose the usage of Web of Energy by means of the Actor Model paradigm to address the latent deployment and management limitations of Smart Grids. Smart Grid designers can use the Actor Model as a design model for an infrastructure that supports the intelligent functions demanded and is capable of grouping and converting the heterogeneity of traditional infrastructures into the homogeneity feature of the Web of Things. Conducted experimentations endorse the feasibility of this solution and encourage practitioners to point their efforts in this direction. PMID:29385748

  14. Prototyping a Web-of-Energy Architecture for Smart Integration of Sensor Networks in Smart Grids Domain.

    Science.gov (United States)

    Caballero, Víctor; Vernet, David; Zaballos, Agustín; Corral, Guiomar

    2018-01-30

    Sensor networks and the Internet of Things have driven the evolution of traditional electric power distribution networks towards a new paradigm referred to as Smart Grid. However, the different elements that compose the Information and Communication Technologies (ICTs) layer of a Smart Grid are usually conceived as isolated systems that typically result in rigid hardware architectures which are hard to interoperate, manage, and to adapt to new situations. If the Smart Grid paradigm has to be presented as a solution to the demand for distributed and intelligent energy management system, it is necessary to deploy innovative IT infrastructures to support these smart functions. One of the main issues of Smart Grids is the heterogeneity of communication protocols used by the smart sensor devices that integrate them. The use of the concept of the Web of Things is proposed in this work to tackle this problem. More specifically, the implementation of a Smart Grid's Web of Things, coined as the Web of Energy is introduced. The purpose of this paper is to propose the usage of Web of Energy by means of the Actor Model paradigm to address the latent deployment and management limitations of Smart Grids. Smart Grid designers can use the Actor Model as a design model for an infrastructure that supports the intelligent functions demanded and is capable of grouping and converting the heterogeneity of traditional infrastructures into the homogeneity feature of the Web of Things. Conducted experimentations endorse the feasibility of this solution and encourage practitioners to point their efforts in this direction.

  15. Prototyping a Web-of-Energy Architecture for Smart Integration of Sensor Networks in Smart Grids Domain

    Directory of Open Access Journals (Sweden)

    Víctor Caballero

    2018-01-01

    Full Text Available Sensor networks and the Internet of Things have driven the evolution of traditional electric power distribution networks towards a new paradigm referred to as Smart Grid. However, the different elements that compose the Information and Communication Technologies (ICTs layer of a Smart Grid are usually conceived as isolated systems that typically result in rigid hardware architectures which are hard to interoperate, manage, and to adapt to new situations. If the Smart Grid paradigm has to be presented as a solution to the demand for distributed and intelligent energy management system, it is necessary to deploy innovative IT infrastructures to support these smart functions. One of the main issues of Smart Grids is the heterogeneity of communication protocols used by the smart sensor devices that integrate them. The use of the concept of the Web of Things is proposed in this work to tackle this problem. More specifically, the implementation of a Smart Grid’s Web of Things, coined as the Web of Energy is introduced. The purpose of this paper is to propose the usage of Web of Energy by means of the Actor Model paradigm to address the latent deployment and management limitations of Smart Grids. Smart Grid designers can use the Actor Model as a design model for an infrastructure that supports the intelligent functions demanded and is capable of grouping and converting the heterogeneity of traditional infrastructures into the homogeneity feature of the Web of Things. Conducted experimentations endorse the feasibility of this solution and encourage practitioners to point their efforts in this direction.

  16. Smart Offices and Intelligent Decision Rooms

    Science.gov (United States)

    Ramos, Carlos; Marreiros, Goreti; Santos, Ricardo; Freitas, Carlos Filipe

    Nowadays computing technology research is focused on the development of Smart Environments. Following that line of thought several Smart Rooms projects were developed and their appliances are very diversified. The appliances include projects in the context of workplace or everyday living, entertainment, play and education. These appliances envisage to acquire and apply knowledge about the environment state in order to reason about it so as to define a desired state for its inhabitants and perform adaptation adaptation to these desires and therefore improving their involvement and satisfaction with that environment.

  17. Design of Flow Big Data System Based on Smart Pipeline Theory

    Directory of Open Access Journals (Sweden)

    Zhang Jianqing

    2017-01-01

    Full Text Available As telecom operators to build intelligent pipe more and more, analysis and processing of big data technology to deal the huge amounts of data intelligent pipeline generated has become an inevitable trend. Intelligent pipe describes operational data, sales data; operator’s pipe flow data make the value for e-commerce business form and business model in mobile e-business environment. Intelligent pipe is the third dimension of 3 D pipeline mobile electronic commerce system. Intelligent operation dimensions make the mobile e-business three-dimensional artifacts. This paper discusses the smart pipeline theory, smart pipeline flow big data system, their system framework and core technology.

  18. Wireless Communications in Smart Grid

    Science.gov (United States)

    Bojkovic, Zoran; Bakmaz, Bojan

    Communication networks play a crucial role in smart grid, as the intelligence of this complex system is built based on information exchange across the power grid. Wireless communications and networking are among the most economical ways to build the essential part of the scalable communication infrastructure for smart grid. In particular, wireless networks will be deployed widely in the smart grid for automatic meter reading, remote system and customer site monitoring, as well as equipment fault diagnosing. With an increasing interest from both the academic and industrial communities, this chapter systematically investigates recent advances in wireless communication technology for the smart grid.

  19. Smart Home Hacking

    OpenAIRE

    Kodra, Suela

    2016-01-01

    Smart Home is an intelligent home equipped with devices and communications systems that enables the residents to connect and control their home appliances and systems. This technology has changed the way a consumer interacts with his home, enabling more control and convenience. Another advantage of this technology is the positive impact it has on savings on energy and other resources. However, despite the consumer's excitement about smart home, security and privacy have shown to be the strong...

  20. Risk and Disaster Management: From Planning and Expertise to Smart, Intelligent, and Adaptive Systems.

    Science.gov (United States)

    Benis, Arriel; Notea, Amos; Barkan, Refael

    2018-01-01

    "Disaster" means some surprising and misfortunate event. Its definition is broad and relates to complex environments. Medical Informatics approaches, methodologies and systems are used as a part of Disaster and Emergency Management systems. At the Holon Institute of Technology - HIT, Israel, in 2016 a National R&D Center: AFRAN was established to study the disaster's reduction aspects. The Center's designation is to investigate and produce new approaches, methodologies and to offer recommendations in the fields of disaster mitigation, preparedness, response and recovery and to disseminate disaster's knowledge. Adjoint to the Center a "Smart, Intelligent, and Adaptive Systems" laboratory (SIAS) was established with the goal to study the applications of Information and Communication Technologies (ICT) and Artificial Intelligence (AI) to Risk and Disaster Management (RDM). In this paper, we are redefining the concept of Disaster, pointing-out how ICT, AI, in the Big Data era, are central players in the RDM game. In addition we show the merit of the Center and lab combination to the benefit of the performed research projects.

  1. Smart Intelligent Aircraft Structures (SARISTU) : Proceedings of the Final Project Conference

    CERN Document Server

    Papadopoulos, Michael

    2016-01-01

    The book includes the research papers presented in the final conference of the EU funded SARISTU (Smart Intelligent Aircraft Structures) project, held at Moscow, Russia between 19-21 of May 2015. The SARISTU project, which was launched in September 2011, developed and tested a variety of individual applications as well as their combinations. With a strong focus on actual physical integration and subsequent material and structural testing, SARISTU has been responsible for important progress on the route to industrialization of structure integrated functionalities such as Conformal Morphing, Structural Health Monitoring and Nanocomposites. The gap- and edge-free deformation of aerodynamic surfaces known as conformal morphing has gained previously unrealized capabilities such as inherent de-icing, erosion protection and lightning strike protection, while at the same time the technological risk has been greatly reduced. Individual structural health monitoring techniques can now be applied at the part-manufacturin...

  2. Adaptive Home Automation System by Using ‎Smart Phone Based Artificial Intelligent

    Directory of Open Access Journals (Sweden)

    Osama Qasim Jumah

    2017-12-01

    Full Text Available The system of Home Automation consider nowadays as a promise technology for living a comfortable life and minimizing the cost of the user homeowner. The system might be accomplished by controlling the heating, ventilation, air conditioning, shading, and lightening. The energy consumed efficiency is get better also the protection system is exists. In this work, a Home Automation System is proposed, so that it performs automatically controlling to some of the appliances in the home. In addition, the proposed system will discover any undesirable movement or fire when the person is out of his home by taking a suitable decision instead of homeowner. The control unit uses a Smart Phone (Android Mobile. In this work, to gather readings of movements, heating, and lightening, a number of nodes are used (three nodes. Also a Microcontroller uses especial sensors to collect this information, after that sends them wirelessly through WIFI to the Smart Phone for manipulation and taking a convenience decision. Delta Neural Network Learning Rule is use for the first time as the intelligent algorithm to give the decisions for all the readings of sensors, so that it learned after 113259 which take 2280 seconds. In addition, it turns out the automated system to be further smart such that if there is fire or movement into the house, the application will distinguish if this movement for example dangerous or not. The mobile (through the application then gives a command to send a message (GSM to the homeowner (Police, or fire station telling the new situation. Furthermore, the controlling of all convenient appliances at the home automatically for each state. JAVA Program is use for manipulation process, and then by employing Eclipse Juno IDE program it turn into to an android application that installed into the Mobile. The Microcontroller is Arduino with WIFI shield and Xbee.

  3. Consumer-oriented smart grid for energy efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Mrazovac, Bojan; Bjelica, Milan Z.; Teslic, Nikola; Papp, Istvan; Temerinac, Miodrag [RT-RK Institute for Computer Based Systems, Novi Sad (Serbia)

    2012-07-01

    The global market faces a large expansion of available solutions for residential power management and energy conservation that can be easily integrated into the smart grid. Unfortunately, most of these solutions lack the capability to make automated power saving decisions which do not require a user to intervene. In this paper we present an intelligent device-level energy monitoring and managing platform for the residential use. The platform is mainly based on interactive wireless electrical infrastructure, smart outlets and smart light switches, which provide low installation costs. As opposed to conventional smart home solutions that utilize a complex set of sensors for human detection, user awareness is achieved without specific sensor devices, only by analyzing and quantifying radio signal strength variations at the inputs of radio transceivers, embedded in smart nodes. The automation is achieved by interpreting user-defined behavioural patterns, which enable the platform to be used for various setups of an environment. The platform intelligently controls power consumption of appliances, contributing to energy savings in the household. (orig.)

  4. Real-Time Business Intelligence for the Utilities Industry

    Directory of Open Access Journals (Sweden)

    Janina POPEANGA

    2012-12-01

    Full Text Available In today’s competitive environment with rapid innovation in smart metering and smart grids, there is an increased need for real-time business intelligence (RTBI in the utilities industry. Giving the fact that this industry is an environment where decisions are time sensitive, RTBI solutions will help utilities improve customer experiences and operational efficiencies. The focus of this paper is on the importance of real-time business intelligence (RTBI in the utilities industry, outlining our vision of real-time business intelligence for this industry. Besides the analysis in this area, the article presents as a case study the Oracle Business Intelligence solution for utilities.

  5. "Smart" Materials Based on Cellulose: A Review of the Preparations, Properties, and Applications.

    Science.gov (United States)

    Qiu, Xiaoyun; Hu, Shuwen

    2013-02-28

    Cellulose is the most abundant biomass material in nature, and possesses some promising properties, such as mechanical robustness, hydrophilicity, biocompatibility, and biodegradability. Thus, cellulose has been widely applied in many fields. "Smart" materials based on cellulose have great advantages-especially their intelligent behaviors in reaction to environmental stimuli-and they can be applied to many circumstances, especially as biomaterials. This review aims to present the developments of "smart" materials based on cellulose in the last decade, including the preparations, properties, and applications of these materials. The preparations of "smart" materials based on cellulose by chemical modifications and physical incorporating/blending were reviewed. The responsiveness to pH, temperature, light, electricity, magnetic fields, and mechanical forces, etc. of these "smart" materials in their different forms such as copolymers, nanoparticles, gels, and membranes were also reviewed, and the applications as drug delivery systems, hydrogels, electronic active papers, sensors, shape memory materials and smart membranes, etc. were also described in this review.

  6. Smart grids are advancing, light and supple

    International Nuclear Information System (INIS)

    Petitot, Pauline

    2016-01-01

    While indicating some innovations produced by the Greenlys laboratory (SmartScan to localize losses by means of smart counters, a system for grid self-healing, Sequoia to manage a low voltage network, a tool for the prediction of photovoltaic production in real time), and also the main smart grid projects in France (Nice Grid, Solenn, SoGrid, Smart Electric Lyon, Poste intelligent, Greenlys, Smart Grids Vendee, BienVEnu), this article comments the emergence of several experiments on smart grids in France, the first drawn conclusions and recommendations. Some issues for this new architecture are discussed: the active demand management, cut-offs and flexibility, and the search for profitability

  7. Smart electric grids, a market on the edge of energy and domotics

    International Nuclear Information System (INIS)

    Faucheux, Ivan

    2017-01-01

    'Intelligence' - a word derived from intelligentia in Latin, made up of the prefix inte- ('between') and the root legere ('choose, pick') or ligare ('link') - refers to all thought processes that enable a living being to adapt to new situations, to learn or understand and, above all, to act. Intelligence without action is futile. Artificial intelligence is now being installed on everyday objects. Everything is becoming 'smart': homes, buildings, grids... and, above all, the energy sector. Using the example of smart electric grids, this article establishes a few links between information and communication technology and the environmental transition in order to show that, if these two trends converge. A new type of economy - perhaps a smart economy - could emerge

  8. Hazards in smart grids. Smart meters can open the door to hackers; Gefahren im intelligenten Stromnetz. Smart Meter als Einfallstor fuer Hacker-Angriffe

    Energy Technology Data Exchange (ETDEWEB)

    Gerretz, Dirk [Covisint Emea Compuware GmbH, Neu-Isenburg (Germany)

    2011-10-31

    Smart grid, smart meter, smart home: Increasingly, intelligent technologies are introduced in the energy sector. The merging of power grids and data grids is costly and requires high investments in areas that are far from the key business and key competence of public utilities. Reliable protection of smart meters is a particular challenge as unauthorized access or manipulation may result in great financial and reputational damage. Prior to introducting smart meters, utilities should decide if they want to introduce the necessary safety technologies themselves, including hardware, software, and know-how, or if they want to rely on solutions provided by experienced market partners. They offer open, expandable and scalable platforms for comprehensive identity management and safe data exchange that have been tested in practice in several branches of industry.

  9. How to Evaluate Smart Cities’ Construction? A Comparison of Chinese Smart City Evaluation Methods Based on PSF

    Directory of Open Access Journals (Sweden)

    Hongbo Shi

    2017-12-01

    Full Text Available With the rapid development of smart cities in the world, research relating to smart city evaluation has become a new research hotspot in academia. However, there are general problems of cognitive deprivation, lack of planning experience, and low level of coordination in smart cities construction. It is necessary for us to develop a set of scientific, reasonable, and effective evaluation index systems and evaluation models to analyze the development degree of urban wisdom. Based on the theory of the urban system, we established a comprehensive evaluation index system for urban intelligent development based on the people-oriented, city-system, and resources-flow (PSF evaluation model. According to the characteristics of the comprehensive evaluation index system of urban intelligent development, the analytic hierarchy process (AHP combined with the experts’ opinions determine the index weight of this system. We adopted the neural network model to construct the corresponding comprehensive evaluation model to characterize the non-linear characteristics of the comprehensive evaluation indexes system, thus to quantitatively quantify the comprehensive evaluation indexes of urban intelligent development. Finally, we used the AHP, AHP-BP (Back Propagation, and AHP-ELM (Extreme Learning Machine models to evaluate the intelligent development level of 151 cities in China, and compared them from the perspective of model accuracy and time cost. The final simulation results show that the AHP-ELM model is the best evaluation model.

  10. THE CONCEPT OF LOCAL-SMART-HOUSING: TOWARDS SOCIO-CULTURAL SUSTAINABILITY OF VERNACULAR SETTLEMENTS

    Directory of Open Access Journals (Sweden)

    AmirHosein GhaffarianHoseini

    2011-07-01

    Full Text Available The recent decades have witnessed the widespread manifestation of intelligent building design development around the world. Meanwhile, the concept of smart housing as one of the main issues of intelligent building design development has stimulated various architects and designers to make use of it for the sake of sustainable housing. However, this study represents a gap in smart housing design owing to the lack of a deep consideration on cultural values of users for ensuring the socio-cultural sustainability as one of the objectives of sustainable smart housing designs. Accordingly, the study puts forward the concept of local-smart-housing through utilization of appropriate vernacular architectural features and cultural values of vernacular settlements in smart housing design in order to reinforce the sociocultural sustainability. Meanwhile, this study is limited to the Malay context in order to identify the vernacular features of Malay vernacular settlement’s functional spaces for utilization in smart housing design to make them culturally responsive. Correspondingly, this study proposes the concept of local-smart-housing based on the incorporation of intelligent building design and utilization of vernacular features for enhancing the quality of life for users.

  11. VO2 thermochromic smart window for energy savings and generation

    Science.gov (United States)

    Zhou, Jiadong; Gao, Yanfeng; Zhang, Zongtao; Luo, Hongjie; Cao, Chuanxiang; Chen, Zhang; Dai, Lei; Liu, Xinling

    2013-10-01

    The ability to achieve energy saving in architectures and optimal solar energy utilisation affects the sustainable development of the human race. Traditional smart windows and solar cells cannot be combined into one device for energy saving and electricity generation. A VO2 film can respond to the environmental temperature to intelligently regulate infrared transmittance while maintaining visible transparency, and can be applied as a thermochromic smart window. Herein, we report for the first time a novel VO2-based smart window that partially utilises light scattering to solar cells around the glass panel for electricity generation. This smart window combines energy-saving and generation in one device, and offers potential to intelligently regulate and utilise solar radiation in an efficient manner.

  12. The Potential of Wastewater Energy Recovery in Smart Buildings by using Internet of Things Technology

    DEFF Research Database (Denmark)

    Lynggaard, Per

    2015-01-01

    exchanger technology in combination with smart building and Internet of Things technologies. By using advanced artificial intelligence and the Internet of Things technologies found in smart homes the heat recovering process is organized, controlled and planned intelligently; this provides the savings...

  13. Advanced intelligent systems

    CERN Document Server

    Ryoo, Young; Jang, Moon-soo; Bae, Young-Chul

    2014-01-01

    Intelligent systems have been initiated with the attempt to imitate the human brain. People wish to let machines perform intelligent works. Many techniques of intelligent systems are based on artificial intelligence. According to changing and novel requirements, the advanced intelligent systems cover a wide spectrum: big data processing, intelligent control, advanced robotics, artificial intelligence and machine learning. This book focuses on coordinating intelligent systems with highly integrated and foundationally functional components. The book consists of 19 contributions that features social network-based recommender systems, application of fuzzy enforcement, energy visualization, ultrasonic muscular thickness measurement, regional analysis and predictive modeling, analysis of 3D polygon data, blood pressure estimation system, fuzzy human model, fuzzy ultrasonic imaging method, ultrasonic mobile smart technology, pseudo-normal image synthesis, subspace classifier, mobile object tracking, standing-up moti...

  14. Smart Cities Intelligence System (SMACiSYS) Integrating Sensor Web with Spatial Data Infrastructures (sensdi)

    Science.gov (United States)

    Bhattacharya, D.; Painho, M.

    2017-09-01

    The paper endeavours to enhance the Sensor Web with crucial geospatial analysis capabilities through integration with Spatial Data Infrastructure. The objective is development of automated smart cities intelligence system (SMACiSYS) with sensor-web access (SENSDI) utilizing geomatics for sustainable societies. There has been a need to develop automated integrated system to categorize events and issue information that reaches users directly. At present, no web-enabled information system exists which can disseminate messages after events evaluation in real time. Research work formalizes a notion of an integrated, independent, generalized, and automated geo-event analysing system making use of geo-spatial data under popular usage platform. Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. The other benefit, conversely, is the expansion of spatial data infrastructure to utilize sensor web, dynamically and in real time for smart applications that smarter cities demand nowadays. Hence, SENSDI augments existing smart cities platforms utilizing sensor web and spatial information achieved by coupling pairs of otherwise disjoint interfaces and APIs formulated by Open Geospatial Consortium (OGC) keeping entire platform open access and open source. SENSDI is based on Geonode, QGIS and Java, that bind most of the functionalities of Internet, sensor web and nowadays Internet of Things superseding Internet of Sensors as well. In a nutshell, the project delivers a generalized real-time accessible and analysable platform for sensing the environment and mapping the captured information for optimal decision-making and societal benefit.

  15. SMART CITIES INTELLIGENCE SYSTEM (SMACiSYS INTEGRATING SENSOR WEB WITH SPATIAL DATA INFRASTRUCTURES (SENSDI

    Directory of Open Access Journals (Sweden)

    D. Bhattacharya

    2017-09-01

    Full Text Available The paper endeavours to enhance the Sensor Web with crucial geospatial analysis capabilities through integration with Spatial Data Infrastructure. The objective is development of automated smart cities intelligence system (SMACiSYS with sensor-web access (SENSDI utilizing geomatics for sustainable societies. There has been a need to develop automated integrated system to categorize events and issue information that reaches users directly. At present, no web-enabled information system exists which can disseminate messages after events evaluation in real time. Research work formalizes a notion of an integrated, independent, generalized, and automated geo-event analysing system making use of geo-spatial data under popular usage platform. Integrating Sensor Web With Spatial Data Infrastructures (SENSDI aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. The other benefit, conversely, is the expansion of spatial data infrastructure to utilize sensor web, dynamically and in real time for smart applications that smarter cities demand nowadays. Hence, SENSDI augments existing smart cities platforms utilizing sensor web and spatial information achieved by coupling pairs of otherwise disjoint interfaces and APIs formulated by Open Geospatial Consortium (OGC keeping entire platform open access and open source. SENSDI is based on Geonode, QGIS and Java, that bind most of the functionalities of Internet, sensor web and nowadays Internet of Things superseding Internet of Sensors as well. In a nutshell, the project delivers a generalized real-time accessible and analysable platform for sensing the environment and mapping the captured information for optimal decision-making and societal benefit.

  16. Trends in ambient intelligent systems the role of computational intelligence

    CERN Document Server

    Khan, Mohammad; Abraham, Ajith

    2016-01-01

    This book demonstrates the success of Ambient Intelligence in providing possible solutions for the daily needs of humans. The book addresses implications of ambient intelligence in areas of domestic living, elderly care, robotics, communication, philosophy and others. The objective of this edited volume is to show that Ambient Intelligence is a boon to humanity with conceptual, philosophical, methodical and applicative understanding. The book also aims to schematically demonstrate developments in the direction of augmented sensors, embedded systems and behavioral intelligence towards Ambient Intelligent Networks or Smart Living Technology. It contains chapters in the field of Ambient Intelligent Networks, which received highly positive feedback during the review process. The book contains research work, with in-depth state of the art from augmented sensors, embedded technology and artificial intelligence along with cutting-edge research and development of technologies and applications of Ambient Intelligent N...

  17. Intelligent Sensors for Integrated Systems Health Management (ISHM)

    Science.gov (United States)

    Schmalzel, John L.

    2008-01-01

    IEEE 1451 Smart Sensors contribute to a number of ISHM goals including cost reduction achieved through: a) Improved configuration management (TEDS); and b) Plug-and-play re-configuration. Intelligent Sensors are adaptation of Smart Sensors to include ISHM algorithms; this offers further benefits: a) Sensor validation. b) Confidence assessment of measurement, and c) Distributed ISHM processing. Space-qualified intelligent sensors are possible a) Size, mass, power constraints. b) Bus structure/protocol.

  18. Smart thermal networks for smart cities - Introduction of concepts and measures

    Science.gov (United States)

    Schmidt, R. R.; Pol, O.; Basciotti, D.; Page, J.

    2012-10-01

    In order to contribute to high living standards, climate mitigation and energy supply security, future urban energy systems require a holistic approach. In particular an intelligent integration of thermal networks is necessary. This paper will briefly present the "smart city" concept and introduce an associated definition for smart thermal networks defined on three levels: 1. the interaction with urban planning processes and the interface to the overall urban energy system, 2. the adaptation of the temperature level and 3. supply and demand-side management strategies.

  19. A Point of View on New Education for Smart Citizenship

    Directory of Open Access Journals (Sweden)

    Cristina Martelli

    2017-02-01

    Full Text Available Smart cities and intelligent communities have an ever-growing demand for specialized smart services, applications, and research-driven innovation. Knowledge of users’ profiles, behavior, and preferences are a potentially dangerous side effect of smart services. Citizens are usually not aware of the knowledge bases generated by the IT services they use: this dimension of the contemporary and digital era sheds new light on the elements concerning the concept of citizenship itself, as it affects dimensions like freedom and privacy. This paper addresses this issue from an education system perspective, and advances a non-technical methodology for being aware and recognizing knowledge bases generated by user-service interaction. Starting from narratives, developed in natural language by unskilled smart service users about their experience, the proposed method advances an original methodology, which is identified in the conceptual models derived from these narratives, a bridge towards a deeper understanding of the informative implications of their behavior. The proposal; which is iterative and scalable; has been tested on the field and some examples of lesson contents are presented and discussed.

  20. Shape memory alloy wire-based smart natural rubber bearing

    International Nuclear Information System (INIS)

    Hedayati Dezfuli, F; Shahria Alam, M

    2013-01-01

    In this study, two types of smart elastomeric bearings are presented using shape memory alloy (SMA) wires. Due to the unique characteristics of SMAs, such as the superelastic effect and the recentering capability, the residual deformation in SMA-based natural rubber bearings (SMA-NRBs) is significantly reduced whereas the energy dissipation capacity is increased. Two different configurations of SMA wires incorporated in elastomeric bearings are considered. The effect of several parameters, including the shear strain amplitude, the type of SMA, the aspect ratio of the base isolator, the thickness of SMA wire, and the amount of pre-strain in the wires on the performance of SMA-NRBs is investigated. Rubber bearings are composed of natural rubber layers bonded to steel shims as reinforcement. Results show that ferrous SMA wire, FeNiCuAlTaB, with 13.5% superelastic strain and a very low austenite finish temperature (−62 °C), is the best candidate to be used in SMA-NRBs subjected to high shear strain amplitudes. In terms of the lateral flexibility and wire strain level, the smart rubber bearing with a cross configuration of SMA wires is more efficient. Moreover, the cross configuration can be implemented in high-aspect-ratio elastomeric bearings since the strain induced in the wire does not exceed the superelastic range. When cross SMA wires with 2% pre-strain are used in a smart NRB, the dissipated energy is increased by 74% and the residual deformation is decreased by 15%. (paper)

  1. Efficacy in Teaching through "Multiple Intelligence" Instructional Strategies

    Science.gov (United States)

    Tamilselvi, B.; Geetha, D.

    2015-01-01

    Multiple intelligence is the theory that "people are smart in more ways than one has immense implication for educators". Howard Gardner proposed a new view of intelligence that is rapidly being incorporated in school curricula. In his theory of Multiple Intelligences, Gardner expanded the concept of intelligence with such areas as music,…

  2. Artificial Intelligence and Educational Technology: A Natural Synergy. Extended Abstract.

    Science.gov (United States)

    McCalla, Gordon I.

    Educational technology and artificial intelligence (AI) are natural partners in the development of environments to support human learning. Designing systems with the characteristics of a rich learning environment is the long term goal of research in intelligent tutoring systems (ITS). Building these characteristics into a system is extremely…

  3. A Cloud Associated Smart Grid Admin Dashboard

    Directory of Open Access Journals (Sweden)

    P. Naveen

    2018-02-01

    Full Text Available Intelligent smart grid system undertakes electricity demand in a sustainable, reliable, economical and environmentally friendly manner. As smart grid involves, it has the liability of meeting the changing consumer needs on the day-to-day basis. Modern energy consumers like to vivaciously regulate their consumption patterns more competently and intelligently than current provided ways. To fulfill the consumers’ needs, smart meters and sensors make the grid infrastructure more efficient and resilient in energy data collection and management even with the ever-changing renewable power generation. Though cloud acts as an outlet for the energy consumers to retrieve energy data from the grid, the information systems available are technically constrained and not user-friendly. Hence, a simple technology enabled utility-consumer interactive information system in the form of a dashboard is presented to cater the electric consumer needs.

  4. New forms of entrepreneurship and innovation for developing smart cities

    OpenAIRE

    Grimaldi, Didier

    2016-01-01

    Cities are receiving more and more residents while the natural resources are getting scarce and scarce. As a possible answer, diverse streams of thoughts have emerged declaring that cities need to become intelligent, wired or human. We decided to consider the last stage of this reflection that defines the paradigm of Smart Cities to highlight the use of the information and telecommunication technologies for a better efficiency of the urban services and in response to the residents' needs. In ...

  5. Artificial Intelligence Techniques and the Smart Grid: Towards Smart Meter Convenience While Maintaining Privacy

    NARCIS (Netherlands)

    Lodder, A.R.; Wisman, T.H.A.

    2015-01-01

    Smart meters are physically within the private sphere of the home. These meters are smart in that consumers can moderate their energy consumption based on generated electricity information. This information can be very detailed, both in terms of time intervals and the number of measuring points. As

  6. Interoperability for smart appliances in the IoT world

    NARCIS (Netherlands)

    Daniele, L.; Solanki, M.; Hartog, F. den; Roes, J.

    2016-01-01

    Household appliances are set to become highly intelligent, smart and networked devices in the near future. Systematically deployed on the Internet of Things (IoT), they would be able to form complete energy consuming, producing, and managing ecosystems. Smart systems are technically very

  7. Bio-inspired smart sensors for a hexapod robot

    DEFF Research Database (Denmark)

    Bilberg, Arne

    2011-01-01

    EMICAB (Embodied Motion Intelligence for Cognitive, Autonomous Robots) is an EU founded project where a consortium of 4 Universities is working together to integrate smart body mechanics and sensors with intelligent planning and motor behavior in order to make a holistic approach to artificial...

  8. The energy aware smart home

    OpenAIRE

    Jahn, M.; Jentsch, M.; Prause, C.R.; Pramudianto, F.; Al-Akkad, A.; Reiners, R.

    2010-01-01

    In this paper, we present a novel smart home system integrating energy efficiency features. The smart home application is built on top of Hydra, a middleware framework that facilitates the intelligent communication of heterogeneous embedded devices through an overlay P2P network. We interconnect common devices available in private households and integrate wireless power metering plugs to gain access to energy consumption data. These data are used for monitoring and analyzing consumed energy o...

  9. AGSM Intelligent Devices/Smart Sensors Project

    Science.gov (United States)

    Harp, Janicce Leshay

    2014-01-01

    This project provides development and qualification of Smart Sensors capable of self-diagnosis and assessment of their capability/readiness to support operations. These sensors will provide pressure and temperature measurements to use in ground systems.

  10. Design And Implementation of Dsp-Based Intelligent Controller For Automobile Braking System

    OpenAIRE

    S.N. Sidek and M.J.E. Salami

    2012-01-01

    An intelligent braking system has great potential applications especially, in developed countries where research on smart vehicle and intelligent highways are receiving ample attention. The system when integrated with other subsystems like automatic traction control, intelligent throttle, and auto cruise systems, etc will result in smart vehicle maneuver. The driver at the end of the day will become the passenger, safety accorded the highest priority and the journey optimized in term of time ...

  11. Smart Electric Vehicle Charging Infrastructure Overview

    Energy Technology Data Exchange (ETDEWEB)

    Chynoweth, Joshua; Chung, Ching-Yen; Qiu, Charlie; Chu, Peter; Gadh, Rajit

    2014-02-19

    WINSmartEV™ is a smart electric vehicle charging system that has been built and is currently in operation. It is a software and network based EV charging system designed and built around the ideas of intelligent charge scheduling, multiplexing (connecting multiple vehicles to each circuit) and flexibility. This paper gives an overview of this smart charging system with an eye toward its unique features and capabilities.

  12. Present Situation and Future Development Trend of Smart Clothing

    Directory of Open Access Journals (Sweden)

    Ju Fengfan

    2017-09-01

    Full Text Available With the rapid development of science and technology, our daily clothes are changing quietly. Wearable smart clothing has gradually the leading role in the clothing market. This article first explains the concept of wearable intelligent clothing in china, and then I analyze the various types of wearable smart clothing that is currently facing problems, and summarized about the key points and future directions of wearable intelligent clothing design. From the beginning of 2013, smart watches, bracelets, glasses have entered the public vision, become a "trendsetter who sought the object", this year the industry was identified as "the first year of wearable equipment". In simple terms, a wearable device is a portable device that can be worn directly on the body, or integrated into the user's clothing or accessories. However, with the development of wireless sensor technology, kinds of wearable smart clothing gradually appeared in people's life, the smart clothing is made up of small chip, electronic components, power equipment, embedded into clothing, can achieve a specific function, in order to facilitate people's life.

  13. Making the Grid "Smart" Through "Smart" Microgrids: Real-Time Power Management of Microgrids with Multiple Distributed Generation Sources Using Intelligent Control

    Energy Technology Data Exchange (ETDEWEB)

    Nehrir, M. Hashem [Montana State Univ., Bozeman, MT (United States)

    2016-10-20

    In this Project we collaborated with two DOE National Laboratories, Pacific Northwest National Lab (PNNL) and Lawrence Berkeley National Lab (LBL). Dr. Hammerstrom of PNNL initially supported our project and was on the graduate committee of one of the Ph.D. students (graduated in 2014) who was supported by this project. He is also a committee member of a current graduate student of the PI who was supported by this project in the last two years (August 2014-July 2016). The graduate student is now supported be the Electrical and Computer Engineering (ECE) Department at Montana State University (MSU). Dr. Chris Marney of LBL provided actual load data, and the software WEBOPT developed at LBL for microgrid (MG) design for our project. NEC-Labs America, a private industry, also supported our project, providing expert support and modest financial support. We also used the software “HOMER,” originally developed at the National Renewable Energy Laboratory (NREL) and the most recent version made available to us by HOMER Energy, Inc., for MG (hybrid energy system) unit sizing. We compared the findings from WebOpt and HOMER and designed appropriately sized hybrid systems for our case studies. The objective of the project was to investigate real-time power management strategies for MGs using intelligent control, considering maximum feasible energy sustainability, reliability and efficiency while, minimizing cost and undesired environmental impact (emissions). Through analytic and simulation studies, we evaluated the suitability of several heuristic and artificial-intelligence (AI)-based optimization techniques that had potential for real-time MG power management, including genetic algorithms (GA), ant colony optimization (ACO), particle swarm optimization (PSO), and multi-agent systems (MAS), which is based on the negotiation of smart software-based agents. We found that PSO and MAS, in particular, distributed MAS, were more efficient and better suited for our work. We

  14. 10th International Symposium on Intelligent Distributed Computing

    CERN Document Server

    Seghrouchni, Amal; Beynier, Aurélie; Camacho, David; Herpson, Cédric; Hindriks, Koen; Novais, Paulo

    2017-01-01

    This book presents the combined peer-reviewed proceedings of the tenth International Symposium on Intelligent Distributed Computing (IDC’2016), which was held in Paris, France from October 10th to 12th, 2016. The 23 contributions address a range of topics related to theory and application of intelligent distributed computing, including: Intelligent Distributed Agent-Based Systems, Ambient Intelligence and Social Networks, Computational Sustainability, Intelligent Distributed Knowledge Representation and Processing, Smart Networks, Networked Intelligence and Intelligent Distributed Applications, amongst others.

  15. Smart thermal networks for smart cities – Introduction of concepts and measures

    Directory of Open Access Journals (Sweden)

    Basciotti D.

    2012-10-01

    Full Text Available In order to contribute to high living standards, climate mitigation and energy supply security, future urban energy systems require a holistic approach. In particular an intelligent integration of thermal networks is necessary. This paper will briefly present the “smart city” concept and introduce an associated definition for smart thermal networks defined on three levels: 1. the interaction with urban planning processes and the interface to the overall urban energy system, 2. the adaptation of the temperature level and 3. supply and demand-side management strategies.

  16. Exploration and design of smart home circuit based on ZigBee

    Science.gov (United States)

    Luo, Huirong

    2018-05-01

    To apply ZigBee technique in smart home circuit design, in the hardware design link of ZigBee node, TI Company's ZigBee wireless communication chip CC2530 was used to complete the design of ZigBee RF module circuit and peripheral circuit. In addition, the function demand and the overall scheme of the intelligent system based on smart home furnishing were proposed. Finally, the smart home system was built by combining ZigBee network and intelligent gateway. The function realization, reliability and power consumption of ZigBee network were tested. The results showed that ZigBee technology was applied to smart home system, making it have some advantages in terms of flexibility, scalability, power consumption and indoor aesthetics. To sum up, the system has high application value.

  17. Smart Metering. Between technical challenge and societal acceptance - Interdisciplinary status quo; Smart Metering. Zwischen technischer Herausforderung und gesellschaftlicher Akzeptanz - Interdisziplinaerer Status Quo

    Energy Technology Data Exchange (ETDEWEB)

    Westermann, Dirk; Doering, Nicola; Bretschneider, Peter (eds.)

    2013-04-01

    The international research project RESIDENS (more efficient energy utilization by means of system technical integration of the private ultimate consumer) investigates the technology of smart metering that is the utilization of intelligent smart meters in private households. The interdisciplinary character of the RESIDENS project becomes visible by different sub-projects examining different formulations of a question from perspectives of different scientific disciplines: First of all, chapter 2 of the contribution under consideration follows up the question, what impact the media coverage on smart metering has on the perception of this technology in the population at large. Chapter 3 reports on the state of the art of the smart metering. Chapter 4 illustrates how a load control of private consumers can be performed by means of the smart meter technology. Chapter 5 reports on the impacts of the smart metering on the procurement of energy in the liberalised energy market. Chapter 6 investigates the smart metering from the customer's point of view. Concretely, the user-friendliness of an internet portal is evaluated by which the customers may follow up their consumption of electricity by means of an intelligent smart meter continuously. Chapter 7 illustrates legal aspects of smart metering from the perspective of the customer, electricity suppliers and distribution system operators. Chapter 8 presents the conception and implementation of an online gaming operation for the promotion of competency of private power customers: In line with this game, the participants may learn to handle smart metering and flexible electricity tariffs in an entertaining manner. Finally, chapter 9 reports on an expert interview in which the smart metering technology is evaluated by public utilities being involved in this project.

  18. Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology

    Science.gov (United States)

    Chou, Po-Huan; Chang, Hsing-Cheng; Lin, Shyan-Lung; Yang, Shih-Chin; Su, Heng-Yi; Chang, Chih-Chien; Cheng, Yuan-Sheng; Kuo, Yu-Chen

    2017-01-01

    This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing device to be placed on residents’ wrists and its corresponding 3D gesture recognition algorithm to implement a convenient automated household appliance control system; (2) a wearable motion sensing device mounted on a resident’s feet and its indoor positioning algorithm to realize an effective indoor pedestrian navigation system for smart energy management; (3) a multisensor circuit module and an intelligent fire detection and alarm algorithm to realize a home safety and fire detection system. In addition, an intelligent monitoring interface is developed to provide in real-time information about the smart home system, such as environmental temperatures, CO concentrations, communicative environmental alarms, household appliance status, human motion signals, and the results of gesture recognition and indoor positioning. Furthermore, an experimental testbed for validating the effectiveness and feasibility of the smart home system was built and verified experimentally. The results showed that the 3D gesture recognition algorithm could achieve recognition rates for automated household appliance control of 92.0%, 94.8%, 95.3%, and 87.7% by the 2-fold cross-validation, 5-fold cross-validation, 10-fold cross-validation, and leave-one-subject-out cross-validation strategies. For indoor positioning and smart energy management, the distance accuracy and positioning accuracy were around 0.22% and 3.36% of the total traveled distance in the indoor environment. For home safety and fire detection, the classification rate achieved 98.81% accuracy for determining the conditions of the indoor living environment. PMID:28714884

  19. Design and Implementation of a Smart Home System Using Multisensor Data Fusion Technology.

    Science.gov (United States)

    Hsu, Yu-Liang; Chou, Po-Huan; Chang, Hsing-Cheng; Lin, Shyan-Lung; Yang, Shih-Chin; Su, Heng-Yi; Chang, Chih-Chien; Cheng, Yuan-Sheng; Kuo, Yu-Chen

    2017-07-15

    This paper aims to develop a multisensor data fusion technology-based smart home system by integrating wearable intelligent technology, artificial intelligence, and sensor fusion technology. We have developed the following three systems to create an intelligent smart home environment: (1) a wearable motion sensing device to be placed on residents' wrists and its corresponding 3D gesture recognition algorithm to implement a convenient automated household appliance control system; (2) a wearable motion sensing device mounted on a resident's feet and its indoor positioning algorithm to realize an effective indoor pedestrian navigation system for smart energy management; (3) a multisensor circuit module and an intelligent fire detection and alarm algorithm to realize a home safety and fire detection system. In addition, an intelligent monitoring interface is developed to provide in real-time information about the smart home system, such as environmental temperatures, CO concentrations, communicative environmental alarms, household appliance status, human motion signals, and the results of gesture recognition and indoor positioning. Furthermore, an experimental testbed for validating the effectiveness and feasibility of the smart home system was built and verified experimentally. The results showed that the 3D gesture recognition algorithm could achieve recognition rates for automated household appliance control of 92.0%, 94.8%, 95.3%, and 87.7% by the 2-fold cross-validation, 5-fold cross-validation, 10-fold cross-validation, and leave-one-subject-out cross-validation strategies. For indoor positioning and smart energy management, the distance accuracy and positioning accuracy were around 0.22% and 3.36% of the total traveled distance in the indoor environment. For home safety and fire detection, the classification rate achieved 98.81% accuracy for determining the conditions of the indoor living environment.

  20. Logistics Road map for Smart SeaPorts

    Directory of Open Access Journals (Sweden)

    Khaled Gaber EL Sakty

    2016-12-01

    Full Text Available In the digital world, a smart concept became an essential feature for port organizations to serve as intelligent hubs in the world transport networks.  Smart ports are the trend for the future long-term strategies. Henceforth, ports aims at contributing to sustainable growth by establishing the appropriate conditions for the adoption of new management energy models based on low environmental impact and triggering innovation of both technologies and processes. The scope of this paper is to examine three main issues of smart ports; smart port arctic logistics roadmap, smart port challenges and obstacles in arctic port areas, and the criteria and Key Performance Indicators guiding the assessment of ports against this concept. The main purpose is to develop a smart arctic logistics road map for the future.

  1. Mathematical structures of natural intelligence

    CERN Document Server

    Neuman, Yair

    2017-01-01

    This book uncovers mathematical structures underlying natural intelligence and applies category theory as a modeling language for understanding human cognition, giving readers new insights into the nature of human thought. In this context, the book explores various topics and questions, such as the human representation of the number system, why our counting ability is different from that which is evident among non-human organisms, and why the idea of zero is so difficult to grasp. The book is organized into three parts: the first introduces the general reason for studying general structures underlying the human mind; the second part introduces category theory as a modeling language and use it for exposing the deep and fascinating structures underlying human cognition; and the third applies the general principles and ideas of the first two parts to reaching a better understanding of challenging aspects of the human mind such as our understanding of the number system, the metaphorical nature of our thinking and...

  2. The Nature of Reflective Practice and Emotional Intelligence in Tutorial Settings

    Science.gov (United States)

    Gill, Gobinder Singh

    2014-01-01

    The purpose of this paper was to assess the nature of reflective practice and emotional intelligence in tutorial settings. Following the completion of a self-report measure of emotional intelligence, practitioners incorporated a model of reflective practice into their tutorial sessions. Practitioners were instructed to utilise reflective practice…

  3. Smart cities of the future

    Science.gov (United States)

    Batty, M.; Axhausen, K. W.; Giannotti, F.; Pozdnoukhov, A.; Bazzani, A.; Wachowicz, M.; Ouzounis, G.; Portugali, Y.

    2012-11-01

    Here we sketch the rudiments of what constitutes a smart city which we define as a city in which ICT is merged with traditional infrastructures, coordinated and integrated using new digital technologies. We first sketch our vision defining seven goals which concern: developing a new understanding of urban problems; effective and feasible ways to coordinate urban technologies; models and methods for using urban data across spatial and temporal scales; developing new technologies for communication and dissemination; developing new forms of urban governance and organisation; defining critical problems relating to cities, transport, and energy; and identifying risk, uncertainty, and hazards in the smart city. To this, we add six research challenges: to relate the infrastructure of smart cities to their operational functioning and planning through management, control and optimisation; to explore the notion of the city as a laboratory for innovation; to provide portfolios of urban simulation which inform future designs; to develop technologies that ensure equity, fairness and realise a better quality of city life; to develop technologies that ensure informed participation and create shared knowledge for democratic city governance; and to ensure greater and more effective mobility and access to opportunities for urban populations. We begin by defining the state of the art, explaining the science of smart cities. We define six scenarios based on new cities badging themselves as smart, older cities regenerating themselves as smart, the development of science parks, tech cities, and technopoles focused on high technologies, the development of urban services using contemporary ICT, the use of ICT to develop new urban intelligence functions, and the development of online and mobile forms of participation. Seven project areas are then proposed: Integrated Databases for the Smart City, Sensing, Networking and the Impact of New Social Media, Modelling Network Performance

  4. Metrics for smart security awareness

    CSIR Research Space (South Africa)

    Labuschagne, William A

    2017-06-01

    Full Text Available informing the response teams for reparations. These capabilities are possible by collecting data from the environment and ensuring intelligence is developed to react automatically without human intervention. The concept of smart cities has also been.... The data would be transported to a centralized situational awareness capability for analyses and create the appropriate response in the form of remedial action. The use of threat intelligence feeds could automatically sense the existence of a new threat...

  5. Smart x-ray beam position monitor system using artificial intelligence methods for the advanced photon source insertion-device beamlines

    International Nuclear Information System (INIS)

    Shu, D.; Ding, H.; Barraza, J.; Kuzay, T.M.; Haeffner, D.; Ramanathan, M.

    1997-09-01

    At the Advanced Photon Source (APS), each insertion device (ID) beamline front-end has two XBPMs to monitor the X-ray beam position for both that vertical and horizontal directions. Performance challenges for a conventional photoemission type X-ray beam position monitor (XBPM) during operations are contamination of the signal from the neighboring bending magnet sources and the sensitivity of the XBPM to the insertion device (ID) gap variations. Problems are exacerbated because users change the ID gap during their operations, and hence the percentage level of the contamination in the front end XBPM signals varies. A smart XBPM system with a high speed digital signal processor has been built at the Advanced Photon Source for the ID beamline front ends. The new version of the software, which uses an artificial intelligence method, provides a self learning and self-calibration capability to the smart XBPM system. The structure of and recent test results with the system are presented in this paper

  6. An Intelligent System for Aggression De-escalation Training

    NARCIS (Netherlands)

    Bosse, T.; Gerritsen, C.; de Man, J.

    2016-01-01

    Artificial Intelligence techniques are increasingly being used to develop smart training applications for professionals in various domains. This paper presents an intelligent training system that enables professionals in the public domain to practice their aggression de-escalation skills. The system

  7. The role of natural gas in smart grids

    NARCIS (Netherlands)

    Bliek, F.W.; Noort, A. van den; Roossien, B.; Kamphuis, I.G.; Wit, J. de; Velde, J. van der; Eijgelaar, M.

    2011-01-01

    PowerMatching City (see ref. (Bliek et al., 2010)) is a living lab smart grid demonstration that shows the feasibility of a market based smart grid optimization methodology. It allows simultaneous optimization of multiple goals of the various stakeholders in a smart grid: in-home optimization,

  8. Future electrical distribution grids: Smart Grids

    International Nuclear Information System (INIS)

    Hadjsaid, N.; Sabonnadiere, J.C.; Angelier, J.P.

    2010-01-01

    The new energy paradigm faced by distribution network represents a real scientific challenge. Thus, national and EU objectives in terms of environment and energy efficiency with resulted regulatory incentives for renewable energies, the deployment of smart meters and the need to respond to changing needs including new uses related to electric and plug-in hybrid vehicles introduce more complexity and favour the evolution towards a smarter grid. The economic interest group in Grenoble IDEA in connection with the power laboratory G2ELab at Grenoble Institute of technology, EDF and Schneider Electric are conducting research on the electrical distribution of the future in presence of distributed generation for ten years.Thus, several innovations emerged in terms of flexibility and intelligence of the distribution network. One can notice the intelligence solutions for voltage control, the tools of network optimization, the self-healing techniques, the innovative strategies for connecting distributed and intermittent generation or load control possibilities for the distributor. All these innovations are firmly in the context of intelligent networks of tomorrow 'Smart Grids'. (authors)

  9. Smart Home Wireless Sensor Nodes

    DEFF Research Database (Denmark)

    Lynggaard, Per

    . This paper introduces an approach that considerably lowers the wireless sensor node power consumption and the amount of transmitted sensor events. It uses smart objects that include artificial intelligence to efficiently process the sensor event on location and thereby saves the costly wireless...

  10. An Optimized WSN Design for Latency-Critical Smart Grid Applications

    Directory of Open Access Journals (Sweden)

    Mounib Khanafer

    2017-01-01

    Full Text Available The growing popularity of the Internet of Things (IoT systems such as the smart grid, Body Area Networks (BANs, and the Intelligent Transportation System (ITS is driving Wireless Sensor Network (WSN systems to the limit in terms of abilities and performance. WSNs were initially designed for low power, low data rate, and latency-tolerant applications. However, this paradigm is changing because of the nature of the new applications. Therefore, instead of only focusing on power-efficient WSN design, researchers and industries are now developing Quality of Service (QoS protocols for WSNs. In addition to that, latency- and reliability-critical protocol designs are also becoming significantly important in WSNs. In this paper, we present an overview of some important smart grid latency-critical applications and highlight WSNs implementation challenges for these smart grid applications. Furthermore, we develop and evaluate two novel optimization models that solve for the optimum values of the end-to-end latency and power consumption in a clustered WSN given lower bounds on reliability and other network parameters.

  11. SmartStuff: A case study of a smart water bottle.

    Science.gov (United States)

    Jovanov, Emil; Nallathimmareddygari, Vindhya R; Pryor, Jonathan E

    2016-08-01

    The rapid growth of Internet of Things (IoT) and miniature wearable biosensors have generated new opportunities for personalized eHealth and mHealth services. Smart objects equipped with physiological sensors can provide robust monitoring of activities of daily living and context for wearable physiological sensors. We present a case study of an intelligent water bottle that can precisely measure the amount of liquid in the bottle, monitor activity using inertial sensors, and physiological parameters using a touch and photoplethysmographic sensor. We evaluate two system configurations: a smart water bottle integrated into a personal body sensor network and a cloud based device. This paper presents system organization and the results from preliminary field testing of the prototype device.

  12. A review about Smart Objects, Sensors, and Actuators

    Directory of Open Access Journals (Sweden)

    Cristian González García

    2017-03-01

    Full Text Available Smart Objects and the Internet of Things are two ideas which describe the future, walk together, and complement each other. Thus, the interconnection among objects can make them more intelligent or expand their intelligence to unsuspected limits. This could be achieved with a new network that interconnects each object around the world. However, to achieve this goal, the objects need a network that supports heterogeneous and ubiquitous objects, a network where exists more traffic among objects than among humans, but supporting for both types. For these reasons, both concepts are very close. Cities, houses, cars, machines, or any another object that can sense, respond, work, or make easier the lives of their owner. This is a part of the future, an immediate future. Notwithstanding, first of all, there are to resolve a series of problems. The most important problem is the heterogeneity of objects. This article is going to show a theoretical frame and the related work about Smart Object. The article will explain what are Smart Objects, doing emphasis in their difference with Not- Smart Objects. After, we will present one of the different object classification system, in our opinion, the most complete.

  13. Analysing Smart Metering Systems from a Consumer Perspective

    Science.gov (United States)

    Yesudas, Rani

    Many countries are deploying smart meters and Advanced Metering Infrastructure systems as part of demand management and grid modernisation efforts. Several of these projects are facing consumer resistance. The advertised benefits to the consumer appear mainly monetary but detailed analysis shows that financial benefits are hard to realise since the fixed services charges are high. Additionally, the data collected from smart meters have security and privacy implications for the consumer. These projects failed to consider end-users as an important stakeholder group during planning stages resulting in the design and roll-out of expensive systems, which do not demonstrate clear consumer benefits. The overall goal of the research reported in this thesis was to improve the smart metering system to deliver consumer benefits that increase confidence and acceptance of these projects. The smart metering system was examined from an end-user perspective for realistic insights into consumer concerns. Processes from Design Science Research methodology were utilised to conduct this research due to the utilitarian nature of the objective. Consumer segmentation was central to the proposed measures. Initially, a consumer-friendly risk analysis framework was devised, and appropriate requirement elicitation techniques were identified. Control options for smart meter data transfer and storage were explored. Various scenarios were analysed to determine consumer-friendly features in the smart metering system, including control options for smart meter data transfer and storage. Proposed functionalities (billing choices, feedback information and specific configurations to match the needs of different user segments) were studied using the Australian smart metering system. Smart meters vary in capabilities depending on the manufacturer, mode and place of deployment. The research showed that features proposed in this thesis are implementable in smart meters, by examining their applicability

  14. Energy Cloud: Services for Smart Buildings

    DEFF Research Database (Denmark)

    Mohamed, Nader; Al-Jaroodi, Jameela; Lazarova-Molnar, Sanja

    2018-01-01

    , and network technologies. Using smart building energy management systems provides intelligent procedures to control buildings’ equipment such as HVAC (heating, ventilating, and air-conditioning) systems, home and office appliances, and lighting systems to reduce energy consumption while maintaining......Energy consumption in buildings is responsible for a significant portion of the total energy use and carbon emissions in large cities. One of the main approaches to reduce energy consumption and its environmental impact is to convert buildings into smart buildings using computer, software, sensor...... the required quality of living in all of the building’s spaces. This chapter discusses and reviews utilizing cloud computing to provide energy-related services to enhance the operations of smart buildings’ energy management systems. Cloud computing can provide many advantages for smart buildings’ energy...

  15. A physical model of a smart home using the Internet of Things

    CSIR Research Space (South Africa)

    Coetzee, L

    2012-11-01

    Full Text Available A smart environment consists of three elements: automation facilities, a network, and intelligent control. This paper describes a project in which a physical model of a smart environment was created, connected to the Internet, and controlled by a...

  16. Intelligent Metering for Urban Water: A Review

    OpenAIRE

    Rodney Stewart; Stuart White; Candice Moy; Ariane Liu; Pierre Mukheibir; Damien Giurco; Thomas Boyle

    2013-01-01

    This paper reviews the drivers, development and global deployment of intelligent water metering in the urban context. Recognising that intelligent metering (or smart metering) has the potential to revolutionise customer engagement and management of urban water by utilities, this paper provides a summary of the knowledge-base for researchers and industry practitioners to ensure that the technology fosters sustainable urban water management. To date, roll-outs of intelligent metering have been ...

  17. Experimental Study on the Natural Circulation Characteristics in the Primary Loop of the SMART Reactor by using the VISTA Facility

    International Nuclear Information System (INIS)

    Park, Hyun-Sik; Choi, Ki-Yong; Cho, Seok; Yi, Sung-Jae; Park, Choon-Kyung; Chung, Moon-Ki

    2007-01-01

    The SMART uses a two-phase natural circulation in the PRHRS loop to remove the heat from the steam generators to the PRHRS heat exchangers, while a single phase natural circulation occurs in the primary loop to transfer the decay heat from the core to the steam generator. Natural circulation operation with a power range of 20 ∼ 25% was considered for SMART and nowadays the possibility of increasing the power level during the natural circulation operation is being investigated. Previously Park et al. performed several experiments by using the VISTA facility on the thermal-hydraulic characteristics of the PRHRS for the SMART-P, which includes a single-phase natural circulation in the primary loop. From the analysis with the TASS-SMR code it was shown that the reference temperature for the primary steam generator inlet temperature should be increased in order to compensate for the decreased core flow. To investigate the possibility of an increase of the power and reference temperature, it is necessary to get experimental data to characterize the natural circulation phenomena in the primary loop of the SMART. In this paper, the characteristics of natural circulation in the primary loop are experimentally investigated during various operational conditions by using the VISTA facility

  18. Smart grids - French Expertise

    International Nuclear Information System (INIS)

    2015-11-01

    The adaptation of electrical systems is the focus of major work worldwide. Bringing electricity to new territories, modernizing existing electricity grids, implementing energy efficiency policies and deploying renewable energies, developing new uses for electricity, introducing electric vehicles - these are the challenges facing a multitude of regions and countries. Smart Grids are the result of the convergence of electrical systems technologies with information and communications technologies. They play a key role in addressing the above challenges. Smart Grid development is a major priority for both public and private-sector actors in France. The experience of French companies has grown with the current French electricity system, a system that already shows extensive levels of 'intelligence', efficiency and competitiveness. French expertise also leverages substantial competence in terms of 'systems engineering', and can provide a tailored response to meet all sorts of needs. French products and services span all the technical and commercial building blocks that make up the Smart Grid value chain. They address the following issues: Improving the use and valuation of renewable energies and decentralized means of production, by optimizing the balance between generation and consumption. Strengthening the intelligence of the transmission and distribution grids: developing 'Supergrid', digitizing substations in transmission networks, and automating the distribution grids are the focus of a great many projects designed to reinforce the 'self-healing' capacity of the grid. Improving the valuation of decentralized flexibilities: this involves, among others, deploying smart meters, reinforcing active energy efficiency measures, and boosting consumers' contribution to grid balancing, via practices such as demand response which implies the aggregation of flexibility among residential, business, and/or industrial sites. Addressing current technological challenges, in

  19. Analyses and Forecasting of Smart Grid Technological Dynamics

    Directory of Open Access Journals (Sweden)

    I. V. Danilin

    2017-01-01

    Full Text Available Purpose: this paper analyzes and forecasts medium- to long-term dynamics of Smart Grid technology developments considering both patent activity and socio-economic (demand-side issues and requirements of economy and power system factors. Methods: for the analysis of Smart Grid patent data (IIP, USPTO, and WIPO patent databases used we apply syntactic semantic analysis of texts in natural languages and logistic curve-based method. We propose Exactus Patent system for intelligent full-text search and analysis of patents (results verified with Thomson Innovation and TotalPatent patent search systems. For interpretation of revealed dynamics and forecasting of future conditions we identify key long-term socio-economic factors drivers for Smart Grid development. Elements of C. Christensen (disruptive innovations and G. Dosi (technological trajectories theories were applied. Results: the study reveals a fast technological transformation within the Smart Grid domain due to the long-term socio-economic factors such as rise of renewables; energy efficiency and energy security issues; environmental constraints and shift of values; requirements for accelerated grid construction (in developing economies and grid modernization (in developed ones; ongoing economy-wide digitalization. Due to the limited economic effects of Smart Grid roll-outs (considering major requirements of economic agents and society and considering progressions of patent dynamics, authors forecasts technology stagnation (in terms of number of patents growth by the end of 2010-s as end of Gartner`s hype development stage. Conclusions and Relevance: a foreseen change in dynamics of Smart Grid technology development is interpreted as a manifestation of sinusoidal fluctuations in technology development for disruptive technologies (supported with OECD data. A longer cycle (in comparison with other disruptive technologies is interpreted as consequence of technology and industry specifics

  20. Using smart materials to solve new challenges in the automotive industry

    Science.gov (United States)

    Gath, Kerrie K.; Maranville, Clay; Tardiff, Janice

    2018-03-01

    Ford has an extensive history of developing and utilizing smart and innovative materials in its vehicles. In this paper, we present new challenges the automotive industry is facing and explore how intelligent uses of smart materials can help provide solutions. We explore which vehicle attributes may provide most advantageous for the use smart materials, and discuss how smart material have had technical challenges that limit their use. We also look at how smart materials such as gecko inspired adhesion is providing opportunities during the vehicle assembly process by improving manufacturing quality, environmental sustainability, and worker safety. An emerging area for deployment of smart materials may involve autonomous vehicles and mobility solutions, where customer expectations are migrating toward a seamless and adaptive experience leading to new expectations for an enhanced journey. Another area where smart materials are influencing change is interior and exterior design including smart textiles, photochromatic dyes, and thermochromatic materials. The key to advancing smart materials in automotive industry is to capitalize on the smaller niche applications where there will be an advantage over traditional methods. Ford has an extensive history of developing and utilizing smart and innovative materials. Magnetorheological fluids, thermoelectric materials, piezoelectric actuators, and shape memory alloys are all in production. In this paper we present new challenges the automotive industry is facing and explore how intelligent uses of smart materials can help provide solutions. We explore which vehicle attributes may provide most advantageous for the use smart materials, and discuss how smart materials have had technical challenges that limit their use. An emerging area for deployment of smart materials may involve autonomous vehicles and mobility solutions, where customer expectations may require a seamless and adaptive experience for users having various

  1. Intelligent Membranes: Dream or Reality?

    Directory of Open Access Journals (Sweden)

    Annarosa Gugliuzza

    2013-07-01

    Full Text Available Intelligent materials are claimed to overcome current drawbacks associated with the attainment of high standards of life, health, security and defense. Membrane-based sensors represent a category of smart systems capable of providing a large number of benefits to different markets of textiles, biomedicine, environment, chemistry, agriculture, architecture, transport and energy. Intelligent membranes can be characterized by superior sensitivity, broader dynamic range and highly sophisticated mechanisms of autorecovery. These prerogatives are regarded as the result of multi-compartment arrays, where complementary functions can be accommodated and well-integrated. Based on the mechanism of “sense to act”, stimuli-responsive membranes adapt themselves to surrounding environments, producing desired effects such as smart regulation of transport, wetting, transcription, hydrodynamics, separation, and chemical or energy conversion. Hopefully, the design of new smart devices easier to manufacture and assemble can be realized through the integration of sensing membranes with wireless networks, looking at the ambitious challenge to establish long-distance communications. Thus, the transfer of signals to collecting systems could allow continuous and real-time monitoring of data, events and/or processes.

  2. Intelligent structures and design of energy related facilities

    International Nuclear Information System (INIS)

    Namba, Haruyuki

    1994-01-01

    Possibility of applying intelligent structural concepts to civil design of energy plants is discussed. Intelligent structures, which are now common in aerospace engineering field, are also referred to as adaptive structures or smart structures depending on cases. Among various existing concepts, reconfigurable structures, precise shape control, structural monitoring using smart materials of optical fiber sensors, and relation with recent innovative communication technologies are focused from civil engineering point of view. Application of such new technologies will help to enhance design of energy related plants, which include multiplex functions which need to be very reliable and safe. (author)

  3. "SmartMonitor"--an intelligent security system for the protection of individuals and small properties with the possibility of home automation.

    Science.gov (United States)

    Frejlichowski, Dariusz; Gościewska, Katarzyna; Forczmański, Paweł; Hofman, Radosław

    2014-06-05

    "SmartMonitor" is an intelligent security system based on image analysis that combines the advantages of alarm, video surveillance and home automation systems. The system is a complete solution that automatically reacts to every learned situation in a pre-specified way and has various applications, e.g., home and surrounding protection against unauthorized intrusion, crime detection or supervision over ill persons. The software is based on well-known and proven methods and algorithms for visual content analysis (VCA) that were appropriately modified and adopted to fit specific needs and create a video processing model which consists of foreground region detection and localization, candidate object extraction, object classification and tracking. In this paper, the "SmartMonitor" system is presented along with its architecture, employed methods and algorithms, and object analysis approach. Some experimental results on system operation are also provided. In the paper, focus is put on one of the aforementioned functionalities of the system, namely supervision over ill persons.

  4. Model predictive control of smart microgrids

    DEFF Research Database (Denmark)

    Hu, Jiefeng; Zhu, Jianguo; Guerrero, Josep M.

    2014-01-01

    The exploitation of renewable energy and the development of intelligent electricity network have become the main concerns worldwide. This paper aims to integrate renewable energy sources, local loads, and energy storage devices into smart microgrids. It proposes a new microgrid configuration...

  5. Intelligent Decision-Making System with Green Pervasive Computing for Renewable Energy Business in Electricity Markets on Smart Grid

    Directory of Open Access Journals (Sweden)

    Park JongHyuk

    2009-01-01

    Full Text Available This paper is about the intelligent decision-making system for the smart grid based electricity market which requires distributed decision making on the competitive environments composed of many players and components. It is very important to consider the renewable energy and emission problem which are expected to be monitored by wireless communication networks. It is very difficult to predict renewable energy outputs and emission prices over time horizon, so it could be helpful to catch up those data on real time basis using many different kinds of communication infrastructures. On this backgrounds this paper provides an algorithm to make an optimal decision considering above factors.

  6. Beyond Home Automation: Designing More Effective Smart Home Systems

    OpenAIRE

    Carner, Paolo

    2009-01-01

    This paper outlines a Smart Home Proof-of-Concept system that uses a Bayesian Network to predict the likelihood of a monitored event to occur. Firstly, this paper will provide an introduction to the concept of a smart home system; then it will outline how Artificial Intelligence concepts can be used to make such systems more effective. Finally, it will detail the implementation of a smart home system, which uses an inference engine to determine the likelihood of a fire. The system prototype h...

  7. Smart systems, dumb data: impact on ISR operations

    Science.gov (United States)

    Creech, Gregory S.

    2013-05-01

    Just as we face a global environment where the latest technology is most needed by Department of Defense (DoD) and the Intelligence Community (IC), we find ourselves hindered by the lack of smart, useful data that our intelligent systems and workforce can fully exploit. Consider the ISR Enterprise "system of systems." Our inability to properly populate metadata fields for making data discoverable and useful is as harmful to system performance as putting lowgrade fuel in a race car. In order for our downstream ISR Enterprise systems (and analysts) to achieve their full performance potential, we must take measures upstream to make the data stream smart. This paper will examine the challenges and ongoing efforts that will benefit analysts at all echelons.

  8. Synchronized phasor measurements for smart grids

    CERN Document Server

    Mohanta, D K

    2017-01-01

    The use of advanced technologies such as Phasor Measurement Units (PMUs) have made it possible to transform the power grid to an intelligent Smart Grid with realtime control and monitoring of the system. This book explores the application of PMUs in power systems.

  9. How to keep a reference ontology relevant to the industry: A case study from the smart home

    NARCIS (Netherlands)

    Daniele, L.; Hartog, F. den; Roes, J.

    2016-01-01

    The Smart Appliance REFerence ontology (SAREF) is a shared model of consensus developed in close interaction with the industry to enable semantic interoperability for smart appliances. Smart appliances are intelligent and networked devices that accomplish some household functions, such as cleaning

  10. A Smart Home Development Tool combining Simulation, Emulation and Real-World IoT

    DEFF Research Database (Denmark)

    Lynggaard, Per

    Intelligent smart homes will offer context-aware, personalized and adaptive services to users. These services range from simple remote control to fully automated / autonomous actions based on user context and adaptive behaviour. However, in science it is difficult to study smart homes...... and their embedded smart objects, because laboratory environments are costly and time consuming to create. This paper proposes a simulator with built-in emulator capabilities. It integrates smart home simulation and emulation capabilities into one device. In this way, smart home implementation models exist either...

  11. SODA: Smart Objects, Dumb Archives

    Science.gov (United States)

    Nelson, Michael L.; Maly, Kurt; Zubair, Mohammad; Shen, Stewart N. T.

    2004-01-01

    We present the Smart Object, Dumb Archive (SODA) model for digital libraries (DLs). The SODA model transfers functionality traditionally associated with archives to the archived objects themselves. We are exploiting this shift of responsibility to facilitate other DL goals, such as interoperability, object intelligence and mobility, and heterogeneity. Objects in a SODA DL negotiate presentation of content and handle their own terms and conditions. In this paper we present implementations of our smart objects, buckets, and our dumb archive (DA). We discuss the status of buckets and DA and how they are used in a variety of DL projects.

  12. System dynamics modeling of the impact of Internet-of-Things on intelligent urban transportation

    OpenAIRE

    Marshall, Phil

    2015-01-01

    Urban transportation systems are at the cusp of a major transformation that capitalizes on the proliferation of the Internet-of-Things (IoT), autonomous and cooperative vehicular and intelligent roadway technologies, advanced traffic management systems, and big data analytics. The benefits of these smart-transportation technologies were investigated using System Dynamics modeling, with particular emphasis towards vehicle sharing, intelligent highway systems, and smart-parking solutions. The m...

  13. Intelligent Testing of Traffic Light Programs: Validation in Smart Mobility Scenarios

    Directory of Open Access Journals (Sweden)

    Javier Ferrer

    2016-01-01

    Full Text Available In smart cities, the use of intelligent automatic techniques to find efficient cycle programs of traffic lights is becoming an innovative front for traffic flow management. However, this automatic programming of traffic lights requires a validation process of the generated solutions, since they can affect the mobility (and security of millions of citizens. In this paper, we propose a validation strategy based on genetic algorithms and feature models for the automatic generation of different traffic scenarios checking the robustness of traffic light cycle programs. We have concentrated on an extensive urban area in the city of Malaga (in Spain, in which we validate a set of candidate cycle programs generated by means of four optimization algorithms: Particle Swarm Optimization for Traffic Lights, Differential Evolution for Traffic Lights, random search, and Sumo Cycle Program Generator. We can test the cycles of traffic lights considering the different states of the city, weather, congestion, driver expertise, vehicle’s features, and so forth, but prioritizing the most relevant scenarios among a large and varied set of them. The improvement achieved in solution quality is remarkable, especially for CO2 emissions, in which we have obtained a reduction of 126.99% compared with the experts’ solutions.

  14. Ambient Intelligence in a Smart Home for Energy Efficiency and Eldercare

    Science.gov (United States)

    de Silva, Liyanage C.; Petra, M. Iskandar; Punchihewa, G. Amal

    In this paper we present our research results related to smart monitoring, control and communication with the main objective of energy efficiency and eldercare in mind. One of the main objectives of this research work is to use multitude of different sensors to monitor activities in a smart home and use the results to control the home environment to meet the objectives of energy efficiency and eldercare. Here we present the application of the smart monitoring to a prototype system.

  15. Building Automation Networks for Smart Grids

    Directory of Open Access Journals (Sweden)

    Peizhong Yi

    2011-01-01

    Full Text Available Smart grid, as an intelligent power generation, distribution, and control system, needs various communication systems to meet its requirements. The ability to communicate seamlessly across multiple networks and domains is an open issue which is yet to be adequately addressed in smart grid architectures. In this paper, we present a framework for end-to-end interoperability in home and building area networks within smart grids. 6LoWPAN and the compact application protocol are utilized to facilitate the use of IPv6 and Zigbee application profiles such as Zigbee smart energy for network and application layer interoperability, respectively. A differential service medium access control scheme enables end-to-end connectivity between 802.15.4 and IP networks while providing quality of service guarantees for Zigbee traffic over Wi-Fi. We also address several issues including interference mitigation, load scheduling, and security and propose solutions to them.

  16. Smart Grids: short history, main components and perspectives

    International Nuclear Information System (INIS)

    Belhomme, R.; Maire, J.

    2010-01-01

    This paper tries to describe the smart grids in their entirety. In a first part, two definitions are given for the smart grids, the main drivers for their development are briefly described, along with an overview of the initiatives and projects in different parts of the world: Europe, USA, Asia and Pacific area. The second part is devoted to the main components of the smart grids. The following are considered: distributed generation and renewables, energy storage, demand side integration, intelligent buildings, smart meters, communication infrastructures, distribution and transmission networks, micro-grids, flexibility of the generation park, electric vehicles and regulatory issues. Finally, the conclusion gives a short discussion of some important issues, as well as of the benefits of demonstration projects. (authors)

  17. From electric networks to 'Smart grids'

    International Nuclear Information System (INIS)

    Hadjsaid, Nourredine; Sabonnadiere, Jean-Claude

    2015-12-01

    After decades of slow evolutions, and because of the emergence of renewable energies and of a multiplication of actors due to the liberalisation of energy markets, electric networks are entering a phase of large and complex development which will lead to a massive introduction of intelligence and to the building up of the 'smart grid' concept. The authors first identify the characteristics of the new energetic paradigm. The present operation of electric grids is based on four components: production by means of high power units installed in strategic locations, transport to consumption centres by means of a highly instrumented transport network which has highly centralised and hierarchical management, and consumers who are passive actors. They comment the implications of recent development for these three components. They describe how information and communication technologies (ICT) are used at the service of the grid, and how new technologies are integrated in different instruments (smart counter, actuators, fast cut devices, sensors, advanced supervision and control functions). Then they discuss the definition of a smart network or smart grid, the objectives it allows to be reached for energy transport as well as energy distribution. They discuss the desirable evolution of distribution networks and their technical objectives. Then, they give an overview of the various involved actors (consumers, network managers, electric equipment manufacturers, energy producers, and so on), evokes bodies and institutions involved in research on smart grids (notably in Grenoble within the INPG), give some examples of innovative concepts which are now being developed (intelligence distribution, virtual central station, grid monitoring, re-configurable grid, smart building). They also identify scientific and technological deadlocks, and outline the challenge of preparing the needed abilities for the development of smart grids

  18. Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments

    Directory of Open Access Journals (Sweden)

    Jose M. Moya

    2012-08-01

    Full Text Available Ubiquitous sensor network deployments, such as the ones found in Smart cities and Ambient intelligence applications, require constantly increasing high computational demands in order to process data and offer services to users. The nature of these applications imply the usage of data centers. Research has paid much attention to the energy consumption of the sensor nodes in WSNs infrastructures. However, supercomputing facilities are the ones presenting a higher economic and environmental impact due to their very high power consumption. The latter problem, however, has been disregarded in the field of smart environment services. This paper proposes an energy-minimization workload assignment technique, based on heterogeneity and application-awareness, that redistributes low-demand computational tasks from high-performance facilities to idle nodes with low and medium resources in the WSN infrastructure. These non-optimal allocation policies reduce the energy consumed by the whole infrastructure and the total execution time.

  19. Ubiquitous green computing techniques for high demand applications in Smart environments.

    Science.gov (United States)

    Zapater, Marina; Sanchez, Cesar; Ayala, Jose L; Moya, Jose M; Risco-Martín, José L

    2012-01-01

    Ubiquitous sensor network deployments, such as the ones found in Smart cities and Ambient intelligence applications, require constantly increasing high computational demands in order to process data and offer services to users. The nature of these applications imply the usage of data centers. Research has paid much attention to the energy consumption of the sensor nodes in WSNs infrastructures. However, supercomputing facilities are the ones presenting a higher economic and environmental impact due to their very high power consumption. The latter problem, however, has been disregarded in the field of smart environment services. This paper proposes an energy-minimization workload assignment technique, based on heterogeneity and application-awareness, that redistributes low-demand computational tasks from high-performance facilities to idle nodes with low and medium resources in the WSN infrastructure. These non-optimal allocation policies reduce the energy consumed by the whole infrastructure and the total execution time.

  20. Simulation of Smart Home Activity Datasets

    Directory of Open Access Journals (Sweden)

    Jonathan Synnott

    2015-06-01

    Full Text Available A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resources. Intelligent environments such as smart homes facilitate long-term monitoring of activities in the home through the use of sensor technology. Access to sensor datasets is necessary for the development of novel activity monitoring and recognition approaches. Access to such datasets is limited due to issues such as sensor cost, availability and deployment time. The use of simulated environments and sensors may address these issues and facilitate the generation of comprehensive datasets. This paper provides a review of existing approaches for the generation of simulated smart home activity datasets, including model-based approaches and interactive approaches which implement virtual sensors, environments and avatars. The paper also provides recommendation for future work in intelligent environment simulation.

  1. Simulation of Smart Home Activity Datasets.

    Science.gov (United States)

    Synnott, Jonathan; Nugent, Chris; Jeffers, Paul

    2015-06-16

    A globally ageing population is resulting in an increased prevalence of chronic conditions which affect older adults. Such conditions require long-term care and management to maximize quality of life, placing an increasing strain on healthcare resources. Intelligent environments such as smart homes facilitate long-term monitoring of activities in the home through the use of sensor technology. Access to sensor datasets is necessary for the development of novel activity monitoring and recognition approaches. Access to such datasets is limited due to issues such as sensor cost, availability and deployment time. The use of simulated environments and sensors may address these issues and facilitate the generation of comprehensive datasets. This paper provides a review of existing approaches for the generation of simulated smart home activity datasets, including model-based approaches and interactive approaches which implement virtual sensors, environments and avatars. The paper also provides recommendation for future work in intelligent environment simulation.

  2. Smart Drug Delivery Systems in Cancer Therapy.

    Science.gov (United States)

    Unsoy, Gozde; Gunduz, Ufuk

    2018-02-08

    Smart nanocarriers have been designed for tissue-specific targeted drug delivery, sustained or triggered drug release and co-delivery of synergistic drug combinations to develop safer and more efficient therapeutics. Advances in drug delivery systems provide reduced side effects, longer circulation half-life and improved pharmacokinetics. Smart drug delivery systems have been achieved successfully in the case of cancer. These nanocarriers can serve as an intelligent system by considering the differences of tumor microenvironment from healthy tissue, such as low pH, low oxygen level, or high enzymatic activity of matrix metalloproteinases. The performance of anti-cancer agents used in cancer diagnosis and therapy is improved by enhanced cellular internalization of smart nanocarriers and controlled drug release. Here, we review targeting, cellular internalization; controlled drug release and toxicity of smart drug delivery systems. We are also emphasizing the stimulus responsive controlled drug release from smart nanocarriers. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

  3. Smart grid demonstrators and experiments in France: Economic assessments of smart grids. Challenges, methods, progress status and demonstrators; Contribution of 'smart grid' demonstrators to electricity transport and market architectures; Challenges and contributions of smart grid demonstrators to the distribution network. Focus on the integration of decentralised production; Challenges and contributions of smart grid demonstrators to the evolution of providing-related professions and to consumption practices

    International Nuclear Information System (INIS)

    Sudret, Thierry; Belhomme, Regine; Nekrassov, Andrei; Chartres, Sophie; Chiappini, Florent; Drouineau, Mathilde; Hadjsaid, Nouredine; Leonard, Cedric; Bena, Michel; Buhagiar, Thierry; Lemaitre, Christian; Janssen, Tanguy; Guedou, Benjamin; Viana, Maria Sebastian; Malarange, Gilles; Hadjsaid, Nouredine; Petit, Marc; Lehec, Guillaume; Jahn, Rafael; Gehain, Etienne

    2015-01-01

    This publication proposes a set of four articles which give an overview of challenges and contributions of smart grid demonstrators for the French electricity system according to different perspectives and different stakeholders. These articles present the first lessons learned from these demonstrators in terms of technical and technological innovations, of business and regulation models, and of customer behaviour and acceptance. More precisely, the authors discuss economic assessments of smart grids with an overview of challenges, methods, progress status and existing smart grid programs in the World, comment the importance of the introduction of intelligence at hardware, software and market level, highlight the challenges and contributions of smart grids for the integration of decentralised production, and discuss how smart grid demonstrators impact providing-related professions and customer consumption practices

  4. Nonlinear Economic Model Predictive Control Strategy for Active Smart Buildings

    DEFF Research Database (Denmark)

    Santos, Rui Mirra; Zong, Yi; Sousa, Joao M. C.

    2016-01-01

    Nowadays, the development of advanced and innovative intelligent control techniques for energy management in buildings is a key issue within the smart grid topic. A nonlinear economic model predictive control (EMPC) scheme, based on the branch-and-bound tree search used as optimization algorithm ...... controller is shown very reliable keeping the comfort levels in the two considered seasons and shifting the load away from peak hours in order to achieve the desired flexible electricity consumption.......Nowadays, the development of advanced and innovative intelligent control techniques for energy management in buildings is a key issue within the smart grid topic. A nonlinear economic model predictive control (EMPC) scheme, based on the branch-and-bound tree search used as optimization algorithm...

  5. METHODS FOR IMPROVING AVAILABILITY AND EFFICIENCY OF COMPUTER INFRASTRUCTURE IN SMART CITIES

    Directory of Open Access Journals (Sweden)

    Jerzy Balicki

    2017-09-01

    Full Text Available This paper discusses methods for increasing the availability and efficiency of information infrastructure in smart cities. Two criteria have been formulated to assign some key resources in smart city system. The process of finding some compromise solutions from Pareto-optimal solutions has been illustrated. Metaheuristics of collective intelligence, including particle swarm optimization PSO, ant colony optimization ACO, algorithm of bee colony ABC, and differential evolution DE have been described due to smart city infrastructure improving. Other application of above metaheuristics in smart city have been also presented.

  6. Urban Big Data and the Development of City Intelligence

    OpenAIRE

    Pan, Yunhe; Tian, Yun; Liu, Xiaolong; Gu, Dedao; Hua, Gang

    2016-01-01

    This study provides a definition for urban big data while exploring its features and applications of China's city intelligence. The differences between city intelligence in China and the “smart city” concept in other countries are compared to highlight and contrast the unique definition and model for China's city intelligence in this paper. Furthermore, this paper examines the role of urban big data in city intelligence by showing that it not only serves as the cornerstone of this trend as it...

  7. Intelligent Performance Analysis with a Natural Language Interface

    Science.gov (United States)

    Juuso, Esko K.

    2017-09-01

    Performance improvement is taken as the primary goal in the asset management. Advanced data analysis is needed to efficiently integrate condition monitoring data into the operation and maintenance. Intelligent stress and condition indices have been developed for control and condition monitoring by combining generalized norms with efficient nonlinear scaling. These nonlinear scaling methodologies can also be used to handle performance measures used for management since management oriented indicators can be presented in the same scale as intelligent condition and stress indices. Performance indicators are responses of the process, machine or system to the stress contributions analyzed from process and condition monitoring data. Scaled values are directly used in intelligent temporal analysis to calculate fluctuations and trends. All these methodologies can be used in prognostics and fatigue prediction. The meanings of the variables are beneficial in extracting expert knowledge and representing information in natural language. The idea of dividing the problems into the variable specific meanings and the directions of interactions provides various improvements for performance monitoring and decision making. The integrated temporal analysis and uncertainty processing facilitates the efficient use of domain expertise. Measurements can be monitored with generalized statistical process control (GSPC) based on the same scaling functions.

  8. Improvement of urban passenger transport ticketing systems by deploying intelligent transport systems

    Directory of Open Access Journals (Sweden)

    G. Jakubauskas

    2006-12-01

    Full Text Available The main advantages and disadvantages of conventional and intelligent ticketing systems and possible positive outcomes when introducing intelligent transport solutions – namely smart cards or e‑ticketing instead of conventional ones (paper tickets and magnetic cards are analysed in the paper. Two ideas of creating an intelligent ticketing system in an urban public transport are scrutinized. The first is electronic ticket and related equipment, the second – e-ticket and functional areas of it. In the article analysis has also been made on practical outcomes related with introduction of smart cards and e-ticketing. Practical tests and trials as well as a subsequent implementation of electronic tickets have proved unchallenged advantages of contactless smart cards against the contact ones. Nevertheless, a new age of modern technologies calls even for more effective solutions – namely virtual-ticketing systems that might be achieved through introduction of mobile technologies. Therefore, the main focus in the paper is made on the analysis of e-ticket.

  9. NICA: Natural Interaction with a Caring Agent

    Science.gov (United States)

    de Carolis, Berardina; Mazzotta, Irene; Novielli, Nicole

    Ambient Intelligence solutions may provide a great opportunity for elderly people to live longer at home. Assistance and care are delegated to the intelligence embedded in the environment. However, besides considering service-oriented response to the user needs, the assistance has to take into account the establishment of social relations. We propose the use of a robot NICA (as the name of the project Natural Interaction with a Caring Agent) acting as a caring assistant that provides a social interface with the smart home services. In this paper, we introduce the general architecture of the robot's "mind" and then we focus on the need to properly react to affective and socially oriented situations.

  10. Smart electromechanical systems the central nervous system

    CERN Document Server

    Kurbanov, Vugar

    2017-01-01

    This book describes approaches to solving the problems of developing the central nervous system of robots (CNSR) based on smart electromechanical systems (SEMS) modules, principles of construction of the various modules of the central nervous system and variants of mathematical software CNSR in control systems for intelligent robots. It presents the latest advances in theory and practice at the Russian Academy of Sciences. Developers of intelligent robots to solve modern problems in robotics are increasingly addressing the use of the bionic approach to create robots that mimic the complexity and adaptability of biological systems. These have smart electromechanical system (SEMS), which are used in various cyber-physical systems (CPhS), and allow the functions of calculation, control, communications, information storage, monitoring, measurement and control of parameters and environmental parameters to be integrated. The behavior of such systems is based on the information received from the central nervous syst...

  11. Development of Information Technology for Smart Defense

    International Nuclear Information System (INIS)

    Chung, Kyoil; Lee, So Yeon; Park, Sangjoon; Park, Jonghyun; Han, Sangcheol

    2014-01-01

    Recently, there has been demand for the convergence of IT (Information and communication Technologies, ICT) with defense, as has already been achieved in civilian fields such as healthcare and construction. It is expected that completely new and common requirements would emerge from the civilian and military domains and that the shape of war field would change rapidly. Many military scientists forecast that future wars would be network-centric and be based on C4I(Command, Control, Communication and Computer, Intelligence), ISR(Intelligence, Surveillance and Reconnaissance), and PGM(Precision Guided Munitions). For realizing the smart defense concept, IT should act as a baseline technology even for simulating a real combat field using virtual reality. In this paper, we propose the concept of IT-based smart defense with a focus on accurate detection in real and cyber wars, effective data communication, automated and unmanned operation, and modeling and simulation

  12. Development of Information Technology for Smart Defense

    Energy Technology Data Exchange (ETDEWEB)

    Chung, Kyoil; Lee, So Yeon; Park, Sangjoon; Park, Jonghyun [ETRI, Daejeon (Korea, Republic of); Han, Sangcheol [KEIT, Seoul (Korea, Republic of)

    2014-03-15

    Recently, there has been demand for the convergence of IT (Information and communication Technologies, ICT) with defense, as has already been achieved in civilian fields such as healthcare and construction. It is expected that completely new and common requirements would emerge from the civilian and military domains and that the shape of war field would change rapidly. Many military scientists forecast that future wars would be network-centric and be based on C4I(Command, Control, Communication and Computer, Intelligence), ISR(Intelligence, Surveillance and Reconnaissance), and PGM(Precision Guided Munitions). For realizing the smart defense concept, IT should act as a baseline technology even for simulating a real combat field using virtual reality. In this paper, we propose the concept of IT-based smart defense with a focus on accurate detection in real and cyber wars, effective data communication, automated and unmanned operation, and modeling and simulation.

  13. Smart Sensors for Launch Vehicles

    Science.gov (United States)

    Ray, Sabooj; Mathews, Sheeja; Abraham, Sheena; Pradeep, N.; Vinod, P.

    2017-12-01

    Smart Sensors bring a paradigm shift in the data acquisition mechanism adopted for launch vehicle telemetry system. The sensors integrate signal conditioners, digitizers and communication systems to give digital output from the measurement location. Multiple sensors communicate with a centralized node over a common digital data bus. An in-built microcontroller gives the sensor embedded intelligence to carry out corrective action for sensor inaccuracies. A smart pressure sensor has been realized and flight-proven to increase the reliability as well as simplicity in integration so as to obtain improved data output. Miniaturization is achieved by innovative packaging. This work discusses the construction, working and flight performance of such a sensor.

  14. Smart Electrochemical Energy Storage Devices with Self-Protection and Self-Adaptation Abilities.

    Science.gov (United States)

    Yang, Yun; Yu, Dandan; Wang, Hua; Guo, Lin

    2017-12-01

    Currently, with booming development and worldwide usage of rechargeable electrochemical energy storage devices, their safety issues, operation stability, service life, and user experience are garnering special attention. Smart and intelligent energy storage devices with self-protection and self-adaptation abilities aiming to address these challenges are being developed with great urgency. In this Progress Report, we highlight recent achievements in the field of smart energy storage systems that could early-detect incoming internal short circuits and self-protect against thermal runaway. Moreover, intelligent devices that are able to take actions and self-adapt in response to external mechanical disruption or deformation, i.e., exhibiting self-healing or shape-memory behaviors, are discussed. Finally, insights into the future development of smart rechargeable energy storage devices are provided. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  15. SmartMonitor” — An Intelligent Security System for the Protection of Individuals and Small Properties with the Possibility of Home Automation

    Science.gov (United States)

    Frejlichowski, Dariusz; Gościewska, Katarzyna; Forczmański, Paweł; Hofman, Radosław

    2014-01-01

    SmartMonitor” is an intelligent security system based on image analysis that combines the advantages of alarm, video surveillance and home automation systems. The system is a complete solution that automatically reacts to every learned situation in a pre-specified way and has various applications, e.g., home and surrounding protection against unauthorized intrusion, crime detection or supervision over ill persons. The software is based on well-known and proven methods and algorithms for visual content analysis (VCA) that were appropriately modified and adopted to fit specific needs and create a video processing model which consists of foreground region detection and localization, candidate object extraction, object classification and tracking. In this paper, the “SmartMonitor” system is presented along with its architecture, employed methods and algorithms, and object analysis approach. Some experimental results on system operation are also provided. In the paper, focus is put on one of the aforementioned functionalities of the system, namely supervision over ill persons. PMID:24905854

  16. SmartMonitor”— An Intelligent Security System for the Protection of Individuals and Small Properties with the Possibility of Home Automation

    Directory of Open Access Journals (Sweden)

    Dariusz Frejlichowski

    2014-06-01

    Full Text Available “SmartMonitor” is an intelligent security system based on image analysis that combines the advantages of alarm, video surveillance and home automation systems. The system is a complete solution that automatically reacts to every learned situation in a pre-specified way and has various applications, e.g., home and surrounding protection against unauthorized intrusion, crime detection or supervision over ill persons. The software is based on well-known and proven methods and algorithms for visual content analysis (VCA that were appropriately modified and adopted to fit specific needs and create a video processing model which consists of foreground region detection and localization, candidate object extraction, object classification and tracking. In this paper, the “SmartMonitor” system is presented along with its architecture, employed methods and algorithms, and object analysis approach. Some experimental results on system operation are also provided. In the paper, focus is put on one of the aforementioned functionalities of the system, namely supervision over ill persons.

  17. Smart management - Driving forces and conditions for the development of advanced electricity networks; Smart ledning - Drivkrafter och foerutsaettningar foer utveckling av avancerade elnaet

    Energy Technology Data Exchange (ETDEWEB)

    Larsson, Oerjan; Staahl, Benjamin (Blue Inst., Stockholm (Sweden))

    2011-02-15

    This report describes the development of Intelligent Networks, or Smart Grids. It is divided into two sections. The first section highlights the basics of what is called 'smart' grid technology, what the underlying driving forces are and how the conditions for market looks like. It also depicts the impact on consumers, emerging business logics and ongoing investment and incentives in the world. The first part ends with an operator map of the market. The second part takes a closer look on some key areas and includes a simple reminder of technology related to smart grids

  18. Power systems signal processing for smart grids

    NARCIS (Netherlands)

    Ribeiro, P.F.; Duque, C.A.; Da Silveira, P.M.; Cerqueira, A.S.

    2013-01-01

    With special relation to smart grids, this book provides clear and comprehensive explanation of how Digital Signal Processing (DSP) and Computational Intelligence (CI) techniques can be applied to solve problems in the power system. Its unique coverage bridges the gap between DSP, electrical power

  19. A Science Cloud for Smart Cities Research

    DEFF Research Database (Denmark)

    Heller, Alfred; Liu, Xiufeng; Gianniou, Panagiota

    2017-01-01

    , amongst many other things, the whole lifecycle of big data management and analytics for research activities. At the Centre for IT-Intelligent Smart Energy for Cities, we have therefore been developing a flexible infrastructure, based on open sourcetechnologies. This paper presents this solution and its...

  20. Smart Grid Communication Technologies in the Brazilian Electrical Sector

    OpenAIRE

    Kühne, Philipp; Hauer, Ines; Styczynski, Zbigniew A.; Fernandes, Rubipiara; Vale, Zita

    2013-01-01

    Intelligent electrical grids can be considered as the next generation of electrical energy transportation. The enormous potential leads to worldwide focus of research on the technology of smart grids. This paper aims to present a review of the Brazilian electricity sector in context with the integration of communication technologies for smart grids. The work gives an overview of the generation, transmission and distribution of electrical energy in the Brazil and a brief summary ...

  1. Smart Grid: Network simulator for smart grid test-bed

    International Nuclear Information System (INIS)

    Lai, L C; Ong, H S; Che, Y X; Do, N Q; Ong, X J

    2013-01-01

    Smart Grid become more popular, a smaller scale of smart grid test-bed is set up at UNITEN to investigate the performance and to find out future enhancement of smart grid in Malaysia. The fundamental requirement in this project is design a network with low delay, no packet drop and with high data rate. Different type of traffic has its own characteristic and is suitable for different type of network and requirement. However no one understands the natural of traffic in smart grid. This paper presents the comparison between different types of traffic to find out the most suitable traffic for the optimal network performance.

  2. The implementation of intelligent home controller

    Science.gov (United States)

    Li, Biqing; Li, Zhao

    2018-04-01

    This paper mainly talks about the working way of smart home terminal controller and the design of hardware and software. Controlling the lights and by simulating the lamp and the test of the curtain, destroy the light of lamp ON-OFF and the curtain's UP-DOWN by simulating the lamp and the test of the cuetain. Through the sensor collects the ambient information and sends to the network, such as light, temperature and humidity. Besides, it can realise the control of intelligent home control by PCS. Terminal controller of intelligent home which is based on ZiBee technology has into the intelligent home system, it provides people with convenient, safe and intelligent household experience.

  3. When getting angry is smart: emotional preferences and emotional intelligence.

    Science.gov (United States)

    Ford, Brett Q; Tamir, Maya

    2012-08-01

    People who prefer to feel useful emotions, even when they are unpleasant to experience, must understand emotions and seek to regulate them in strategic ways. Such people, therefore, may be more emotionally intelligent compared with people who prefer to feel emotions that may not be useful for the context at hand, even if those emotions are pleasant to experience. We tested this hypothesis by measuring emotional intelligence and preferences to feel pleasant and unpleasant emotions in contexts in which they are likely to be useful or not. We found significant positive associations between emotional intelligence and preferences for useful emotions, even when controlling for trait emotional experiences and cognitive intelligence. People who prefer to feel anger when confronting others tend to be higher in emotional intelligence, whereas people who prefer to feel happiness in such contexts tend to be lower in emotional intelligence. Such findings are consistent with the idea that wanting to feel bad may be good at times, and vice versa.

  4. Listener Perception of Monopitch, Naturalness, and Intelligibility for Speakers with Parkinson's Disease

    Science.gov (United States)

    Anand, Supraja; Stepp, Cara E.

    2015-01-01

    Purpose: Given the potential significance of speech naturalness to functional and social rehabilitation outcomes, the objective of this study was to examine the effect of listener perceptions of monopitch on speech naturalness and intelligibility in individuals with Parkinson's disease (PD). Method: Two short utterances were extracted from…

  5. Smart Grid Communications System Blueprint

    Science.gov (United States)

    Clark, Adrian; Pavlovski, Chris

    2010-10-01

    Telecommunications operators are well versed in deploying 2G and 3G wireless networks. These networks presently support the mobile business user and/or retail consumer wishing to place conventional voice calls and data connections. The electrical power industry has recently commenced transformation of its distribution networks by deploying smart monitoring and control devices throughout their networks. This evolution of the network into a `smart grid' has also motivated the need to deploy wireless technologies that bridge the communication gap between the smart devices and information technology systems. The requirements of these networks differ from traditional wireless networks that communications operators have deployed, which have thus far forced energy companies to consider deploying their own wireless networks. We present our experience in deploying wireless networks to support the smart grid and highlight the key properties of these networks. These characteristics include application awareness, support for large numbers of simultaneous cell connections, high service coverage and prioritized routing of data. We also outline our target blueprint architecture that may be useful to the industry in building wireless and fixed networks to support the smart grid. By observing our experiences, telecommunications operators and equipment manufacturers will be able to augment their current networks and products in a way that accommodates the needs of the emerging industry of smart grids and intelligent electrical networks.

  6. Intelligent system for lighting control in smart cities

    OpenAIRE

    de Paz Santana, Juan F.; Bajo Pérez, Javier; Rodríguez González, Sara; Villarrubia González, Gabriel; Corchado Rodríguez, Juan M.

    2017-01-01

    This paper presents an adaptive architecture that centralizes the control of public lighting and intelligent management to economize lighting and maintain maximum visual comfort in illuminated areas. To carry out this management, the architecture merges various techniques of artificial intelligence (AI) and statistics such as artificial neural networks (ANN), multi-agent systems (MAS), EM algorithm, methods based on ANOVA, and a Service Oriented Approach (SOA). It achieves optimization in ter...

  7. Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

    Directory of Open Access Journals (Sweden)

    Syed Ali Abbas Kazmi

    2017-04-01

    Full Text Available Smart grids (SGs, as an emerging grid modernization concept, is spreading across diverse research areas for revolutionizing power systems. SGs realize new key concepts with intelligent technologies, maximizing achieved objectives and addressing critical issues that are limited in conventional grids. The SG modernization is more noticeable at the distribution grid level. Thus, the transformation of the traditional distribution network (DN into an intelligent one, is a vital dimension of SG research. Since future DNs are expected to be interconnected in nature and operation, hence traditional planning methods and tools may no longer be applicable. In this paper, the smart distribution network (SDN concept under the SG paradigm, has presented and reviewed from the planning perspective. Also, developments in the SDN planning process have been surveyed on the basis of SG package (SGP. The package presents a SDN planning foundation via major SG-enabling technologies (SGTF, anticipated functionalities (SGAF, new consumption models (MDC as potential SDN candidates, associated policies and pilot projects and multi-objective planning (MOP as a real-world optimization problem. In addition, the need for an aggregated SDN planning model has also been highlighted. The paper discusses recent notable related works, implementation activities, various issues/challenges and potential future research directions; all aiming at SDN planning.

  8. What could make 2017 the banner year for smart grids?

    International Nuclear Information System (INIS)

    Ortega, Florian

    2015-01-01

    With billings slated to reach 6 euros billion per year by 2020, intelligent networks, known as smart grids are an attractive proposition for many companies and will generate up to 25 000 jobs directly in France. While it seems, in light of all the commitments that have been made, that 2017 can considered as 'the year of the smart grids', there remain a number of uncertainties. (author)

  9. A review about Smart Objects, Sensors, and Actuators

    OpenAIRE

    Cristian González García; Daniel Meana-Llorián; Cristina Pelayo G-Bustelo; Juan Manuel Cueva-Lovelle

    2017-01-01

    Smart Objects and the Internet of Things are two ideas which describe the future, walk together, and complement each other. Thus, the interconnection among objects can make them more intelligent or expand their intelligence to unsuspected limits. This could be achieved with a new network that interconnects each object around the world. However, to achieve this goal, the objects need a network that supports heterogeneous and ubiquitous objects, a network where exists more traffic among objects...

  10. Application of Wireless Sensor and Actuator Networks to Achieve Intelligent Microgrids: A Promising Approach towards a Global Smart Grid Deployment

    Directory of Open Access Journals (Sweden)

    Alvaro Llaria

    2016-02-01

    Full Text Available Smart Grids (SGs constitute the evolution of the traditional electrical grid towards a new paradigm, which should increase the reliability, the security and, at the same time, reduce the costs of energy generation, distribution and consumption. Electrical microgrids (MGs can be considered the first stage of this evolution of the grid, because of the intelligent management techniques that must be applied to assure their correct operation. To accomplish this task, sensors and actuators will be necessary, along with wireless communication technologies to transmit the measured data and the command messages. Wireless Sensor and Actuator Networks (WSANs are therefore a promising solution to achieve an intelligent management of MGs and, by extension, the SG. In this frame, this paper surveys several aspects concerning the application of WSANs to manage MGs and the electrical grid, as well as the communication protocols that could be applied. The main concerns regarding the SG deployment are also presented, including future scenarios where the interoperability of different generation technologies must be assured.

  11. Naturalist Intelligence Among the Other Multiple Intelligences [In Bulgarian

    Directory of Open Access Journals (Sweden)

    R. Genkov

    2007-09-01

    Full Text Available The theory of multiple intelligences was presented by Gardner in 1983. The theory was revised later (1999 and among the other intelligences a naturalist intelligence was added. The criteria for distinguishing of the different types of intelligences are considered. While Gardner restricted the analysis of the naturalist intelligence with examples from the living nature only, the present paper considered this problem on wider background including objects and persons of the natural sciences.

  12. A Semantic Middleware Architecture Focused on Data and Heterogeneity Management within the Smart Grid

    Directory of Open Access Journals (Sweden)

    Rubén de Diego

    2014-09-01

    Full Text Available There is an increasing tendency of turning the current power grid, essentially unaware of variations in electricity demand and scattered energy sources, into something capable of bringing a degree of intelligence by using tools strongly related to information and communication technologies, thus turning into the so-called Smart Grid. In fact, it could be considered that the Smart Grid is an extensive smart system that spreads throughout any area where power is required, providing a significant optimization in energy generation, storage and consumption. However, the information that must be treated to accomplish these tasks is challenging both in terms of complexity (semantic features, distributed systems, suitable hardware and quantity (consumption data, generation data, forecasting functionalities, service reporting, since the different energy beneficiaries are prone to be heterogeneous, as the nature of their own activities is. This paper presents a proposal on how to deal with these issues by using a semantic middleware architecture that integrates different components focused on specific tasks, and how it is used to handle information at every level and satisfy end user requests.

  13. Intelligent buildings. Living and working in a high-tech building; Das intelligente Haus. Wohnen und Arbeiten mit zukunftsweisender Technik

    Energy Technology Data Exchange (ETDEWEB)

    Traenkler, H.R. [Universitaet der Bundeswehr Muenchen (Germany). Inst. fuer Sensoren und Messsysteme; Schneider, F. [Technische Univ. Muenchen (Germany). Lehrstuhl fuer Messsystem- und Sensortechnik

    2001-07-01

    Intelligent buildings (smart home, home automation, intelligent living) are characterised by technical facilities with high comfort, flexible use of rooms, central and decentralised control, communication options, environmental compatibility, low energy cost and low operating cost. This book discusses technologies, components, subsystems and general aspects of smart homes. Sensors and sensor systems are discussed in particular as they are key components. Target groups of the publication are planning authorities, architects and constructional engineers, component producers, suppliers, tradesmen and private builder-owners. [German] Die interdisziplinaere Thematik des Intelligenten Hauses bzw. der Intelligenten Hausinstrumentarisierung (Smart Home, Home Automation, Intelligent Living) gewinnt zunehmend an Interesse. Waehrend die konventionelle Elektroinstallation im privaten Haus seit Jahrzehnten lediglich auf die Verteilung und das Schalten der elektrischen Energie ausgerichtet war, haben sich die Anforderungen an eine moderne Haustechnik hinsichtlich Komfort, Moeglichkeiten flexibler Raumnutzungen, zentraler und dezentraler Steuerungen, Kommunikationsmoeglichkeiten, Umweltvertraeglichkeit sowie Energie- und Betriebskostenminimierung geaendert und erweitert.Das vorliegende Werk behandelt Technologien, Komponenten, Subsysteme und Gesamtsystemaspekte fuer das intelligente Haus. Eine Schluesselrolle nehmen dabei Sensoren und Sensorsysteme ein, da nur solche Informationen verarbeitet werden koennen, die zuverlaessig erfasst worden sind. Neue Anwendungen ermoeglichen die Schaffung von Wohnraum, der den Bewohnern angepasst werden kann (kindgerecht, seniorengerecht), der im Einklang mit der Natur steht (Passivhaus, Nullheizenergiehaus), der vorteilhaft geplant werden kann (Gebaeudegeometrie, Gebaeudeausrichtung, Baumaterial, Landschaftsbezogenheit), der die mitdenkende Haut besitzt (lichtlenkende Fassade, transluzente Waermedaemmung) und der mit selbstregulierenden Systemen

  14. Design And Implementation of Dsp-Based Intelligent Controller For Automobile Braking System

    Directory of Open Access Journals (Sweden)

    S.N. Sidek and M.J.E. Salami

    2012-08-01

    Full Text Available An intelligent braking system has great potential applications especially, in developed countries where research on smart vehicle and intelligent highways are receiving ample attention. The system when integrated with other subsystems like automatic traction control, intelligent throttle, and auto cruise systems, etc will result in smart vehicle maneuver. The driver at the end of the day will become the passenger, safety accorded the highest priority and the journey optimized in term of time duration, cost, efficiency and comfortability. The impact of such design and development will cater for the need of contemporary society that aspires to a quality drive as well as to accommodate the advancement of technology especially in the area of smart sensors and actuators.  The emergence of digital signal processor enhances the capacity and features of universal microcontroller.  This paper introduces the use of TI DSP, TMS320LF2407 as an engine of the system. The overall system is designed so that the value of inter-vehicle distance from infrared laser sensor and speed of follower car from speedometer are fed into the DSP for processing, resulting in the DSP issuing commands to the actuator to function appropriately.Key words:  Smart Vehicle, Digital Signal Processor, Fuzzy Controller, and Infra Red Laser Sensor

  15. 7th ECCOMAS Thematic Conference on Smart Structures and Materials

    CERN Document Server

    Soares, Carlos

    2017-01-01

    This work was compiled with expanded and reviewed contributions from the 7th ECCOMAS Thematic Conference on Smart Structures and Materials, that was held from 3 to 6 June 2015 at Ponta Delgada, Azores, Portugal. The Conference provided a comprehensive forum for discussing the current state of the art in the field as well as generating inspiration for future ideas specifically on a multidisciplinary level. The scope of the Conference included topics related to the following areas: Fundamentals of smart materials and structures; Modeling/formulation and characterization of smart actuators, sensors and smart material systems; Trends and developments in diverse areas such as material science including composite materials, intelligent hydrogels, interfacial phenomena, phase boundaries and boundary layers of phase boundaries, control, micro- and nano-systems, electronics, etc. to be considered for smart systems; Comparative evaluation of different smart actuators and sensors; Analysis of structural concepts and des...

  16. Recreational drug discovery: natural products as lead structures for the synthesis of smart drugs.

    Science.gov (United States)

    Appendino, Giovanni; Minassi, Alberto; Taglialatela-Scafati, Orazio

    2014-07-01

    Covering: up to December 2013. Over the past decade, there has been a growing transition in recreational drugs from natural materials (marijuana, hashish, opium), natural products (morphine, cocaine), or their simple derivatives (heroin), to synthetic agents more potent than their natural prototypes, which are sometimes less harmful in the short term, or that combine properties from different classes of recreational prototypes. These agents have been named smart drugs, and have become popular both for personal consumption and for collective intoxication at rave parties. The reasons for this transition are varied, but are mainly regulatory and commercial. New analogues of known illegal intoxicants are invisible to most forensic detection techniques, while the alleged natural status and the lack of avert acute toxicity make them appealing to a wide range of users. On the other hand, the advent of the internet has made possible the quick dispersal of information among users and the on-line purchase of these agents and/or the precursors for their synthesis. Unlike their natural products chemotypes (ephedrine, mescaline, cathinone, psilocybin, THC), most new drugs of abuse are largely unfamiliar to the organic chemistry community as well as to health care providers. To raise awareness of the growing plague of smart drugs we have surveyed, in a medicinal chemistry fashion, their development from natural products leads, their current methods of production, and the role that clandestine home laboratories and underground chemists have played in the surge of popularity of these drugs.

  17. Machine learning in smart home control systems - Algorithms and new opportunities

    Science.gov (United States)

    Berg, Ivan A.; Khorev, Oleg E.; Matvevnina, Arina I.; Prisjazhnyj, Alexey V.

    2017-11-01

    Worldwide, more and more attention is paid to issues related to a smart home. If in 2000 Scopus registered 25 publications with about "smart house", in 2016 their number increased up to 1600. The top three countries with interest in smart home technologies include the United States, China and India. Corporations begin to offer their package solutions for automation of the intellectual home, dozens of start-ups around the creation of technology are established. Where is such interest from? What can offer intelligent home technologies? What can an end user receive?

  18. The ENCOURAGE ICT architecture for heterogeneous smart grids

    DEFF Research Database (Denmark)

    Albano, Michele; Ferreira, Luis; Le Guilly, Thibaut

    2013-01-01

    The ENCOURAGE project aims at rationalizing energy usage in building by implementing a smart energy grid based on intelligent scheduling of energy consuming appliances, renewable energy production, and inter-building energy trading. This paper presents the reference architecture proposed in the c...

  19. Smart Metering System for Microgrids

    DEFF Research Database (Denmark)

    Palacios-Garcia, Emilio; Guan, Yajuan; Savaghebi, Mehdi

    2015-01-01

    suppliers, but they can also play a big role in the control of the Microgrid since the recorded power and energy profiles can be integrated in energy management systems (EMS). In addition, basic power quality (PQ) disturbance can de detected and reported by some advanced metering systems. Thus, this paper...... will expose an example of Smart Meters integration in a Microgrid scenario, which is the Intelligent Microgrid Lab of Aalborg University (AAU). To do this, first the installation available in the Microgrid Lab will be introduced. Then, three different test scenarios and their respective results...... will be presented, regarding the capabilities of this system and the advantages of integration the Smart Meters information in the Microgrid control....

  20. Ambient Intelligence and Persuasive Technology: The Blurring Boundaries Between Human and Technology.

    NARCIS (Netherlands)

    Verbeek, Peter P.C.C.

    2009-01-01

    The currently developing fields of Ambient Intelligence and Persuasive Technology bring about a convergence of information technology and cognitive science. Smart environments that are able to respond intelligently to what we do and that even aim to influence our behaviour challenge the basic

  1. The next step: intelligent digital assistance for clinical operating rooms

    Directory of Open Access Journals (Sweden)

    Miehle Juliana

    2017-08-01

    Full Text Available With the emergence of new technologies, the surgical working environment becomes increasingly complex and comprises many medical devices that have to be taken cared of. However, the goal is to reduce the workload of the surgical team to allow them to fully focus on the actual surgical procedure. Therefore, new strategies are needed to keep the working environment manageable. Existing research projects in the field of intelligent medical environments mostly concentrate on workflow modeling or single smart features rather than building up a complete intelligent environment. In this article, we present the concept of intelligent digital assistance for clinical operating rooms (IDACO, providing the surgeon assistance in many different situations before and during an ongoing procedure using natural spoken language. The speech interface enables the surgeon to concentrate on the surgery and control the technical environment at the same time, without taking care of how to interact with the system. Furthermore, the system observes the context of the surgery and controls several devices autonomously at the appropriate time during the procedure.

  2. Innovation for creating a smart future

    Directory of Open Access Journals (Sweden)

    Sang M. Lee

    2018-01-01

    Full Text Available Today, we live in a dynamic and turbulent global community. The wave of mega-trends, including rapid change in globalization and technological advances, is creating new market forces. For any organization to survive and prosper in such an environment, innovation is imperative. However, innovation is no longer just for creating value to benefit individuals, organizations, or societies. The ultimate purpose of innovation should be much more far reaching, helping create a smart future where people can enjoy the best quality of life possible. Thus, innovation must search for intelligent solutions to tackle major social ills, seek more proactive approaches to predict the uncertain future, and pursue strategies to remove barriers to the smart future. This study explores the detailed requirements of a smart future, including both hardware types and soft social/cultural components.

  3. Meetings and meeting modeling in smart surroundings

    NARCIS (Netherlands)

    op den Akker, Hendrikus J.A.; Heylen, Dirk K.J.; Nijholt, Antinus; Nishida, T.

    2004-01-01

    In this paper we survey our research on smart meeting rooms and its relevance for augmented reality meeting support and virtual reality generation of meetings in real-time or off-line. Intelligent real-time and off-line generation requires understanding of what is going on during a meeting. The

  4. Security Challenges in Smart-Grid Metering and Control Systems

    Directory of Open Access Journals (Sweden)

    Xinxin Fan

    2013-07-01

    Full Text Available The smart grid is a next-generation power system that is increasingly attracting the attention of government, industry, and academia. It is an upgraded electricity network that depends on two-way digital communications between supplier and consumer that in turn give support to intelligent metering and monitoring systems. Considering that energy utilities play an increasingly important role in our daily life, smart-grid technology introduces new security challenges that must be addressed. Deploying a smart grid without adequate security might result in serious consequences such as grid instability, utility fraud, and loss of user information and energy-consumption data. Due to the heterogeneous communication architecture of smart grids, it is quite a challenge to design sophisticated and robust security mechanisms that can be easily deployed to protect communications among different layers of the smart grid-infrastructure. In this article, we focus on the communication-security aspect of a smart-grid metering and control system from the perspective of cryptographic techniques, and we discuss different mechanisms to enhance cybersecurity of the emerging smart grid. We aim to provide a comprehensive vulnerability analysis as well as novel insights on the cybersecurity of a smart grid.

  5. Effectiveness of work zone intelligent transportation systems.

    Science.gov (United States)

    2013-12-01

    In the last decade, Intelligent Transportation Systems (ITS) have increasingly been deployed in work zones by state departments of transportation. Also known as smart work zone systems they improve traffic operations and safety by providing real-time...

  6. Smart built-in test

    Science.gov (United States)

    Richards, Dale W.

    1990-03-01

    The work which built-in test (BIT) is asked to perform in today's electronic systems increases with every insertion of new technology or introduction of tighter performance criteria. Yet the basic purpose remains unchanged -- to determine with high confidence the operational capability of that equipment. Achievement of this level of BIT performance requires the management and assimilation of a large amount of data, both realtime and historical. Smart BIT has taken advantage of advanced techniques from the field of artificial intelligence (AI) in order to meet these demands. The Smart BIT approach enhances traditional functional BIT by utilizing AI techniques to incorporate environmental stress data, temporal BIT information and maintenance data, and realtime BIT reports into an integrated test methodology for increased BIT effectiveness and confidence levels. Future research in this area will incorporate onboard fault-logging of BIT output, stress data and Smart BIT decision criteria in support of a singular, integrated and complete test and maintenance capability. The state of this research is described along with a discussion of directions for future development.

  7. Smart modeling and simulation for complex systems practice and theory

    CERN Document Server

    Ren, Fenghui; Zhang, Minjie; Ito, Takayuki; Tang, Xijin

    2015-01-01

    This book aims to provide a description of these new Artificial Intelligence technologies and approaches to the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field such as the platforms and/or the software tools for smart modeling and simulating complex systems. These tasks are difficult to accomplish using traditional computational approaches due to the complex relationships of components and distributed features of resources, as well as the dynamic work environments. In order to effectively model the complex systems, intelligent technologies such as multi-agent systems and smart grids are employed to model and simulate the complex systems in the areas of ecosystem, social and economic organization, web-based grid service, transportation systems, power systems and evacuation systems.

  8. Energy management of internet data centers in smart grid

    CERN Document Server

    Jiang, Tao; Cao, Yang

    2015-01-01

    This book reports the latest findings on intelligent energy management of Internet data centers in smart-grid environments. The book gathers novel research ideas in Internet data center energy management, especially scenarios with cyber-related vulnerabilities, power outages and carbon emission constraints. The book will be of interest to university researchers, R&D engineers and graduate students in communication and networking areas who wish to learn the core principles, methods, algorithms, and applications of energy management of Internet data centers in smart grids.

  9. Authentication Method for Privacy Protection in Smart Grid Environment

    OpenAIRE

    Cho, Do-Eun; Yeo, Sang-Soo; Kim, Si-Jung

    2014-01-01

    Recently, the interest in green energy is increasing as a means to resolve problems including the exhaustion of the energy source and, effective management of energy through the convergence of various fields. Therefore, the projects of smart grid which is called intelligent electrical grid for the accomplishment of low carbon green growth are being carried out in a rush. However, as the IT is centered upon the electrical grid, the shortage of IT also appears in smart grid and the complexity o...

  10. A Game-Theory Based Incentive Framework for an Intelligent Traffic System as Part of a Smart City Initiative.

    Science.gov (United States)

    Mei, Haibo; Poslad, Stefan; Du, Shuang

    2017-12-11

    Intelligent Transportation Systems (ITSs) can be applied to inform and incentivize travellers to help them make cognizant choices concerning their trip routes and transport modality use for their daily travel whilst achieving more sustainable societal and transport authority goals. However, in practice, it is challenging for an ITS to enable incentive generation that is context-driven and personalized, whilst supporting multi-dimensional travel goals. This is because an ITS has to address the situation where different travellers have different travel preferences and constraints for route and modality, in the face of dynamically-varying traffic conditions. Furthermore, personalized incentive generation also needs to dynamically achieve different travel goals from multiple travellers, in the face of their conducts being a mix of both competitive and cooperative behaviours. To address this challenge, a Rule-based Incentive Framework (RIF) is proposed in this paper that utilizes both decision tree and evolutionary game theory to process travel information and intelligently generate personalized incentives for travellers. The travel information processed includes travellers' mobile patterns, travellers' modality preferences and route traffic volume information. A series of MATLAB simulations of RIF was undertaken to validate RIF to show that it is potentially an effective way to incentivize travellers to change travel routes and modalities as an essential smart city service.

  11. Smart Information Management in Health Big Data.

    Science.gov (United States)

    Muteba A, Eustache

    2017-01-01

    The smart information management system (SIMS) is concerned with the organization of anonymous patient records in a big data and their extraction in order to provide needful real-time intelligence. The purpose of the present study is to highlight the design and the implementation of the smart information management system. We emphasis, in one hand, the organization of a big data in flat file in simulation of nosql database, and in the other hand, the extraction of information based on lookup table and cache mechanism. The SIMS in the health big data aims the identification of new therapies and approaches to delivering care.

  12. Intelligence in early adulthood and mortality from natural and unnatural causes in middle-aged Danish men.

    Science.gov (United States)

    Meincke, Rikke Hodal; Mortensen, Erik Lykke; Avlund, Kirsten; Rosthøj, Susanne; Sørensen, Holger Jelling; Osler, Merete

    2014-02-01

    High intelligence early in life has consistently been associated with decreased mortality, but the mechanisms are still not fully understood. In this cohort study, we examined the association between intelligence in early adulthood and later mortality from natural and unnatural causes taking birth weight, parental socioeconomic position, participants' own education and body mass index into account. 13 536 Danish men born in 1953 and 1959-1961 with data from birth certificates and intelligence test scores from conscription were followed until 2009. Information on vital status was obtained from the Civil Registration System. Mortality risks were analysed by the multiple Cox proportional hazards model. The risk of mortality from natural as well as unnatural causes was more than twice as high among men in the lowest scoring intelligence tertile (HRnatural deaths=2.24; 1.90-2.65 and HRunnatural deaths=2.67; 2.03-3.53). Adjusting for all covariates attenuated the estimates, but the association remained (HRnatural deaths=1.82; 1.48-2.25 and HRunnatural deaths=2.30; 1.63-3.25). In men, intelligence in early adulthood was inversely associated with midlife mortality from natural and unnatural causes. The associations remained after adjustments for a range of covariates.

  13. Less Smart More City

    Directory of Open Access Journals (Sweden)

    Rocco Papa

    2015-07-01

    Full Text Available Smart is an expression used in recent years in science, and it refers to someone or something that shows a lively intelligence, with a quick learning curve and a fast response to external stimuli. The present scenario is dominated by the accelerated technological development that involves every aspect of life, enhancing the everyday tools through the use of information and digital processing: everything is smart, even cities. But when you pair the term smart to a complex organism such as the city the significance of the two together is open to a variety of interpretations, as shown by the vast and varied landscape of definitions that have occurred in recent years. Our contribution presents the results of research aimed at analyzing and interpreting this fragmented scene mainly, but not exclusively, through lexical analysis, applied to a textual corpus of 156 definitions of smart city. In particular, the study identified the main groups of stakeholders that have taken part in the debate, and investigated the differences and convergences that can be detected: Academic, Institutional, and Business worlds. It is undeniable that the term smart has been a veritable media vehicle that, on the one hand brought to the center of the discussion the issue of the city, of increasing strategic importance for the major challenges that humanity is going to face,  and on the other has been a fertile ground on which to pour the interests of different groups and individuals. In a nutshell we can say that from the analysis the different approaches that each group has used and supported emerge clearly and another, alarming, consideration occurs: of the smart part of “Smart City” we clearly grasp the tools useful to the each group of stakeholders, and of the city part, as a collective aspiration, there is often little or nothing.

  14. Privacy Enforcement in a Cost-Effective Smart Grid

    DEFF Research Database (Denmark)

    Mikkelsen, Søren Aagaard

    In this technical report we present the current state of the research conducted during the first part of the PhD period. The PhD thesis “Privacy Enforcement in a Cost-Effective Smart Grid” focuses on ensuring privacy when generating market for energy service providers that develop web services...... for the residential domain in the envisaged smart grid. The PhD project is funded and associated to the EU project “Energy Demand Aware Open Services for Smart Grid Intelligent Automation” (Smart HG) and therefore introduces the project on a system-level. Based on this, we present some of the integration, security...... and privacy challenges that emerge when designing a system architecture and infrastructure. The resulting architecture is a consumer-centric and agent-based design and uses open Internet-based communication protocols for enabling interoperability while being cost-effective. Finally, the PhD report present...

  15. Intelligent energy allocation strategy for PHEV charging station using gravitational search algorithm

    Science.gov (United States)

    Rahman, Imran; Vasant, Pandian M.; Singh, Balbir Singh Mahinder; Abdullah-Al-Wadud, M.

    2014-10-01

    Recent researches towards the use of green technologies to reduce pollution and increase penetration of renewable energy sources in the transportation sector are gaining popularity. The development of the smart grid environment focusing on PHEVs may also heal some of the prevailing grid problems by enabling the implementation of Vehicle-to-Grid (V2G) concept. Intelligent energy management is an important issue which has already drawn much attention to researchers. Most of these works require formulation of mathematical models which extensively use computational intelligence-based optimization techniques to solve many technical problems. Higher penetration of PHEVs require adequate charging infrastructure as well as smart charging strategies. We used Gravitational Search Algorithm (GSA) to intelligently allocate energy to the PHEVs considering constraints such as energy price, remaining battery capacity, and remaining charging time.

  16. Analysis and improvement of security of energy smart grids

    International Nuclear Information System (INIS)

    Halimi, Halim

    2014-01-01

    The Smart grid is the next generation power grid, which is a new self-healing, self-activating form of electricity network, and integrates power-flow control, increased quality of electricity, and energy reliability, energy efficiency and energy security using information and communication technologies. Communication networks play a critical role in smart grid, as the intelligence of smart grid is built based on information exchange across the power grid. Its two-way communication and electricity flow enable to monitor, predict and manage the energy usage. To upgrade an existing power grid into a smart grid, it requires an intelligent and secure communication infrastructure. Because of that, the main goal of this dissertation is to propose new architecture and implementation of algorithms for analysis and improvement of the security and reliability in smart grid. In power transmission segments of smart grid, wired communications are usually adopted to ensure robustness of the backbone power network. In contrast, for a power distribution grid, wireless communications provide many benefits such as low cost high speed links, easy setup of connections among different devices/appliances, and so on. Wireless communications are usually more vulnerable to security attacks than wired ones. Developing appropriate wireless communication architecture and its security measures is extremely important for a smart grid system. This research addresses physical layer security in a Wireless Smart Grid. Hence a defense Quorum- based algorithm is proposed to ensure physical security in wireless communication. The new security architecture for smart grid that supports privacy-preserving, data aggregation and access control is defined. This architecture consists of two parts. In the first part we propose to use an efficient and privacy-preserving aggregation scheme (EPPA), which aggregates real-time data of consumers by Local Gateway. During aggregation the privacy of consumers is

  17. EDITORIAL: Adaptive and active materials: Selected papers from the ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 10) (Philadelphia, PA, USA, 28 September-1 October 2010) Adaptive and active materials: Selected papers from the ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 10) (Philadelphia, PA, USA, 28 September-1 October 2010)

    Science.gov (United States)

    Brei, Diann

    2011-09-01

    The third annual meeting of the AMSE/AIAA Smart Materials, Adaptive Structures and Intelligent Systems Conference (SMASIS) took place in the heart of historic Philadelphia's cultural district, and included a pioneer banquet in the National Constitutional Center. The applications emphasis of the 2010 conference was reflected in keynote talks by Dr Alan Taub, vice president of General Motors global research and development, 'Smart materials in the automotive industry'; Dr Charles R Farrar, engineering institute leader at Los Alamos National Laboratory, 'Future directions for structural health monitoring of civil engineering infrastructure'; and Professor Christopher S Lynch of the University of California Los Angeles, 'Ferroelectric materials and their applications'. The SMASIS conference was divided into six technical symposia each of which included basic research, applied technological design and development, and industrial and governmental integrated system and application demonstrations. The six symposia were: SYMP 1 Multifunctional Materials; SYMP 2 Active Materials, Mechanics and Behavior; SYMP 3 Modeling, Simulation and Control; SYMP 4 Enabling Technologies and Integrated System Design; SYMP 5 Structural Health Monitoring/NDE; and SYMP 6 Bio-inspired Smart Materials and Structures. In addition, the conference introduced a new student and young professional development symposium. Authors of papers in the materials areas (symposia 1, 2 and 6) were invited to write a full journal article on their presentation topic for publication in this special issue of Smart Materials and Structures. This set of papers demonstrates the exceptional quality and originality of the conference presentations. We are appreciative of their efforts in producing this collection of highly relevant articles on smart materials.

  18. Smart meters and economies in energy use

    International Nuclear Information System (INIS)

    Zelem, Marie-Christine

    2014-01-01

    A central theme promoted by the government for the energy transition, the mastering of energy consumption features notably the setting up of intelligent electricity networks and the installation of what are known as smart meters. Yet will consumers actually be in a position to become proponents of more sober use of energy? (author)

  19. Internet of Things Technology and its Applications in Smart Grid

    OpenAIRE

    Liu Hua; Zhang Junguo; Lin Fantao

    2013-01-01

    Smart grid is the latest trend of development and reform in today’s world, and it is also a major technological innovation and development trend in the 21st century. Internet of Things technology is a new information processing and acquisition method, and it has been widely used in intelligent transportation, environmental monitoring and other fields. Internet of Things is an important technical mean to promote the development of smart grid. Using Internet of Things technology can effectively...

  20. How smart is your BEOL? productivity improvement through intelligent automation

    Science.gov (United States)

    Schulz, Kristian; Egodage, Kokila; Tabbone, Gilles; Garetto, Anthony

    2017-07-01

    The back end of line (BEOL) workflow in the mask shop still has crucial issues throughout all standard steps which are inspection, disposition, photomask repair and verification of repair success. All involved tools are typically run by highly trained operators or engineers who setup jobs and recipes, execute tasks, analyze data and make decisions based on the results. No matter how experienced operators are and how good the systems perform, there is one aspect that always limits the productivity and effectiveness of the operation: the human aspect. Human errors can range from seemingly rather harmless slip-ups to mistakes with serious and direct economic impact including mask rejects, customer returns and line stops in the wafer fab. Even with the introduction of quality control mechanisms that help to reduce these critical but unavoidable faults, they can never be completely eliminated. Therefore the mask shop BEOL cannot run in the most efficient manner as unnecessary time and money are spent on processes that still remain labor intensive. The best way to address this issue is to automate critical segments of the workflow that are prone to human errors. In fact, manufacturing errors can occur for each BEOL step where operators intervene. These processes comprise of image evaluation, setting up tool recipes, data handling and all other tedious but required steps. With the help of smart solutions, operators can work more efficiently and dedicate their time to less mundane tasks. Smart solutions connect tools, taking over the data handling and analysis typically performed by operators and engineers. These solutions not only eliminate the human error factor in the manufacturing process but can provide benefits in terms of shorter cycle times, reduced bottlenecks and prediction of an optimized workflow. In addition such software solutions consist of building blocks that seamlessly integrate applications and allow the customers to use tailored solutions. To

  1. SMART Boards Rock

    Science.gov (United States)

    Giles, Rebecca M.; Shaw, Edward L.

    2011-01-01

    SMART Board is a technology that combines the functionality of a whiteboard, computer, and projector into a single system. The interactive nature of the SMART Board offers many practical uses for providing an introduction to or review of material, while the large work area invites collaboration through social interaction and communication. As a…

  2. Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

    Science.gov (United States)

    Zheng, Pai; wang, Honghui; Sang, Zhiqian; Zhong, Ray Y.; Liu, Yongkui; Liu, Chao; Mubarok, Khamdi; Yu, Shiqiang; Xu, Xun

    2018-06-01

    Information and communication technology is undergoing rapid development, and many disruptive technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, have emerged. These technologies are permeating the manufacturing industry and enable the fusion of physical and virtual worlds through cyber-physical systems (CPS), which mark the advent of the fourth stage of industrial production (i.e., Industry 4.0). The widespread application of CPS in manufacturing environments renders manufacturing systems increasingly smart. To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systems for Industry 4.0. First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented. Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling, are presented. Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios. Finally, challenges and future perspectives are identified and discussed.

  3. [INVITED] Computational intelligence for smart laser materials processing

    Science.gov (United States)

    Casalino, Giuseppe

    2018-03-01

    Computational intelligence (CI) involves using a computer algorithm to capture hidden knowledge from data and to use them for training ;intelligent machine; to make complex decisions without human intervention. As simulation is becoming more prevalent from design and planning to manufacturing and operations, laser material processing can also benefit from computer generating knowledge through soft computing. This work is a review of the state-of-the-art on the methodology and applications of CI in laser materials processing (LMP), which is nowadays receiving increasing interest from world class manufacturers and 4.0 industry. The focus is on the methods that have been proven effective and robust in solving several problems in welding, cutting, drilling, surface treating and additive manufacturing using the laser beam. After a basic description of the most common computational intelligences employed in manufacturing, four sections, namely, laser joining, machining, surface, and additive covered the most recent applications in the already extensive literature regarding the CI in LMP. Eventually, emerging trends and future challenges were identified and discussed.

  4. Smart metering - new possibilities for energy distribution in the mass customer sector; Smart Metering - neue Moeglichkeiten fuer den Energievertrieb im Massenkundenbereich

    Energy Technology Data Exchange (ETDEWEB)

    Haller, T. [Simon-Kucher aand Partners GmbH, Wien (Austria); Hoffmann, S.O.; Rentschler, M.D. [Simon-Kucher and Partners Strategy and Marketing Consultants GmbH, Bonn (Germany)

    2008-06-15

    As a result of the liberalisation of gas and electricity metering procedures energy suppliers are more and more turning their attention to innovative and intelligent metering techniques. Smart Metering allows energy suppliers to improve their metering processes while at the same time responding better to their customers' needs. These developments are also opening up new sales opportunities because intelligent meters facilitate the launch of new products in the mass customer sector. There is therefore much in favour of looking at this topic in greater detail.

  5. Semantic Information Modeling for Emerging Applications in Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Zhou, Qunzhi; Natarajan, Sreedhar; Simmhan, Yogesh; Prasanna, Viktor

    2012-04-16

    Smart Grid modernizes power grid by integrating digital and information technologies. Millions of smart meters, intelligent appliances and communication infrastructures are under deployment allowing advanced IT applications to be developed to secure and manage power grid operations. Demand response (DR) is one such emerging application to optimize electricity demand by curtailing/shifting power load when peak load occurs. Existing DR approaches are mostly based on static plans such as pricing policies and load shedding schedules. However, improvements to power management applications rely on data emanating from existing and new information sources with the growth of Smart Grid information space. In particular, dynamic DR algorithms depend on information from smart meters that report interval-based power consumption measurement, HVAC systems that monitor buildings heat and humidity, and even weather forecast services. In order for emerging Smart Grid applications to take advantage of the diverse data influx, extensible information integration is required. In this paper, we develop an integrated Smart Grid information model using Semantic Web techniques and present case studies of using semantic information for dynamic DR. We show the semantic model facilitates information integration and knowledge representation for developing the next generation Smart Grid applications.

  6. Smart grid communication-enabled intelligence for the electric power grid

    CERN Document Server

    Bush, Stephen F

    2014-01-01

    This book bridges the divide between the fields of power systems engineering and computer communication through the new field of power system information theory. Written by an expert with vast experience in the field, this book explores the smart grid from generation to consumption, both as it is planned today and how it will evolve tomorrow. The book focuses upon what differentiates the smart grid from the ""traditional"" power grid as it has been known for the last century. Furthermore, the author provides the reader with a fundamental understanding of both power systems and communication ne

  7. A Natural Component-Based Oxygen Indicator with In-Pack Activation for Intelligent Food Packaging.

    Science.gov (United States)

    Won, Keehoon; Jang, Nan Young; Jeon, Junsu

    2016-12-28

    Intelligent food packaging can provide consumers with reliable and correct information on the quality and safety of packaged foods. One of the key constituents in intelligent packaging is a colorimetric oxygen indicator, which is widely used to detect oxygen gas involved in food spoilage by means of a color change. Traditional oxygen indicators consisting of redox dyes and strong reducing agents have two major problems: they must be manufactured and stored under anaerobic conditions because air depletes the reductant, and their components are synthetic and toxic. To address both of these serious problems, we have developed a natural component-based oxygen indicator characterized by in-pack activation. The conventional oxygen indicator composed of synthetic and artificial components was redesigned using naturally occurring compounds (laccase, guaiacol, and cysteine). These natural components were physically separated into two compartments by a fragile barrier. Only when the barrier was broken were all of the components mixed and the function as an oxygen indicator was begun (i.e., in-pack activation). Depending on the component concentrations, the natural component-based oxygen indicator exhibited different response times and color differences. The rate of the color change was proportional to the oxygen concentration. This novel colorimetric oxygen indicator will contribute greatly to intelligent packaging for healthier and safer foods.

  8. Persona-based Adaptation in a Smart Green Home

    NARCIS (Netherlands)

    Havinga, P. (Paul); Leeuwen, van H. (Henk); Salomons, E. (Etto); Teeuw, W. (Wouter)

    2012-01-01

    In this paper Etto Salomons presents his vision of the GoGreen project on a smart home that is capable of decreasing energy consumption while at the same time increasing user comfort. To identify the main challenges he introduces a general model for intelligent homes that describes the current

  9. An overview of smart grid routing algorithms

    Science.gov (United States)

    Wang, Junsheng; OU, Qinghai; Shen, Haijuan

    2017-08-01

    This paper summarizes the typical routing algorithm in smart grid by analyzing the communication business and communication requirements of intelligent grid. Mainly from the two kinds of routing algorithm is analyzed, namely clustering routing algorithm and routing algorithm, analyzed the advantages and disadvantages of two kinds of typical routing algorithm in routing algorithm and applicability.

  10. Smart grid strategy - the future intelligent energy system. [Denmark]; Smart grid-strategi - fremtidens intelligente energisystem

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2013-04-15

    The Government's Smart Grid Strategy brings Danish consumers a big step closer to managing their own energy consumption. The strategy, combines electricity meters read on an hourly basis with variable tariffs and a data hub. It will make it possible for consumers to use the power when it is least expensive. ''Today we set the course for developing a smart energy network that will reduce the cost of converting to sustainable energy, cut electricity bills and create brand new products consumers will welcome,'' says Minister of Climate, Energy and Building Martin Lidegaard. Encouraging consumers to use energy more efficiently is a key aspect of the strategy. The remote-read electricity meters are crucial if consumers are to play a role in optimising the flexible energy network. (LN)

  11. Intelligence in early adulthood and mortality from natural and unnatural causes in middle-aged Danish men

    DEFF Research Database (Denmark)

    Meincke, Rikke Hodal; Mortensen, Erik Lykke; Avlund, Kirsten

    2014-01-01

    High intelligence early in life has consistently been associated with decreased mortality, but the mechanisms are still not fully understood. In this cohort study, we examined the association between intelligence in early adulthood and later mortality from natural and unnatural causes taking birt...

  12. Integration of Multisensor Hybrid Reasoners to Support Personal Autonomy in the Smart Home

    Directory of Open Access Journals (Sweden)

    Miguel Ángel Valero

    2014-09-01

    Full Text Available The deployment of the Ambient Intelligence (AmI paradigm requires designing and integrating user-centered smart environments to assist people in their daily life activities. This research paper details an integration and validation of multiple heterogeneous sensors with hybrid reasoners that support decision making in order to monitor personal and environmental data at a smart home in a private way. The results innovate on knowledge-based platforms, distributed sensors, connected objects, accessibility and authentication methods to promote independent living for elderly people. TALISMAN+, the AmI framework deployed, integrates four subsystems in the smart home: (i a mobile biomedical telemonitoring platform to provide elderly patients with continuous disease management; (ii an integration middleware that allows context capture from heterogeneous sensors to program environment´s reaction; (iii a vision system for intelligent monitoring of daily activities in the home; and (iv an ontologies-based integrated reasoning platform to trigger local actions and manage private information in the smart home. The framework was integrated in two real running environments, the UPM Accessible Digital Home and MetalTIC house, and successfully validated by five experts in home care, elderly people and personal autonomy.

  13. Integration of multisensor hybrid reasoners to support personal autonomy in the smart home.

    Science.gov (United States)

    Valero, Miguel Ángel; Bravo, José; Chamizo, Juan Manuel García; López-de-Ipiña, Diego

    2014-09-17

    The deployment of the Ambient Intelligence (AmI) paradigm requires designing and integrating user-centered smart environments to assist people in their daily life activities. This research paper details an integration and validation of multiple heterogeneous sensors with hybrid reasoners that support decision making in order to monitor personal and environmental data at a smart home in a private way. The results innovate on knowledge-based platforms, distributed sensors, connected objects, accessibility and authentication methods to promote independent living for elderly people. TALISMAN+, the AmI framework deployed, integrates four subsystems in the smart home: (i) a mobile biomedical telemonitoring platform to provide elderly patients with continuous disease management; (ii) an integration middleware that allows context capture from heterogeneous sensors to program environment's reaction; (iii) a vision system for intelligent monitoring of daily activities in the home; and (iv) an ontologies-based integrated reasoning platform to trigger local actions and manage private information in the smart home. The framework was integrated in two real running environments, the UPM Accessible Digital Home and MetalTIC house, and successfully validated by five experts in home care, elderly people and personal autonomy.

  14. Integration of Multisensor Hybrid Reasoners to Support Personal Autonomy in the Smart Home

    Science.gov (United States)

    Valero, Miguel Ángel; Bravo, José; Chamizo, Juan Manuel García; López-de-Ipiña, Diego

    2014-01-01

    The deployment of the Ambient Intelligence (AmI) paradigm requires designing and integrating user-centered smart environments to assist people in their daily life activities. This research paper details an integration and validation of multiple heterogeneous sensors with hybrid reasoners that support decision making in order to monitor personal and environmental data at a smart home in a private way. The results innovate on knowledge-based platforms, distributed sensors, connected objects, accessibility and authentication methods to promote independent living for elderly people. TALISMAN+, the AmI framework deployed, integrates four subsystems in the smart home: (i) a mobile biomedical telemonitoring platform to provide elderly patients with continuous disease management; (ii) an integration middleware that allows context capture from heterogeneous sensors to program environment's reaction; (iii) a vision system for intelligent monitoring of daily activities in the home; and (iv) an ontologies-based integrated reasoning platform to trigger local actions and manage private information in the smart home. The framework was integrated in two real running environments, the UPM Accessible Digital Home and MetalTIC house, and successfully validated by five experts in home care, elderly people and personal autonomy. PMID:25232910

  15. Coordinating the Web of Services for a Smart Home

    NARCIS (Netherlands)

    Kaldeli, Eirini; Warriach, Ehsan Ullah; Lazovik, Alexander; Aiello, Marco

    Domotics, concerned with the realization of intelligent home environments, is a novel field which can highly benefit from solutions inspired by service-oriented principles to enhance the convenience and security of modern home residents. In this work, we present an architecture for a smart home,

  16. An Accurate and Efficient User Authentication Mechanism on Smart Glasses Based on Iris Recognition

    Directory of Open Access Journals (Sweden)

    Yung-Hui Li

    2017-01-01

    Full Text Available In modern society, mobile devices (such as smart phones and wearable devices have become indispensable to almost everyone, and people store personal data in devices. Therefore, how to implement user authentication mechanism for private data protection on mobile devices is a very important issue. In this paper, an intelligent iris recognition mechanism is designed to solve the problem of user authentication in wearable smart glasses. Our contributions include hardware and software. On the hardware side, we design a set of internal infrared camera modules, including well-designed infrared light source and lens module, which is able to take clear iris images within 2~5 cm. On the software side, we propose an innovative iris segmentation algorithm which is both efficient and accurate to be used on smart glasses device. Another improvement to the traditional iris recognition is that we propose an intelligent Hamming distance (HD threshold adaptation method which dynamically fine-tunes the HD threshold used for verification according to empirical data collected. Our final system can perform iris recognition with 66 frames per second on a smart glasses platform with 100% accuracy. As far as we know, this system is the world’s first application of iris recognition on smart glasses.

  17. Service architecting and dynamic composition in pervasive smart ecosystems for the Internet of things based on sensor network technology

    OpenAIRE

    Familiar Cabero, Miguel Santos

    2014-01-01

    Why pervasive awareness and Ambient Intelligence are perceived by a great part of the academia and industry as a massive revolution in the short-term? In our best knowledge, a cornerstone of this thought is based on the fact that the ultimate nature of the smart environment paradigm is not in the technology itself, but on a people-centered approach. Perhaps, is in this apparently simple conception where precisely lies the boldness of this promising vision, which has been consolidated in recen...

  18. Smart Grids - The Playground of Energy Transition

    International Nuclear Information System (INIS)

    Hribernik, W.

    2016-01-01

    In Europe, energy transition is already in full swing. In the power supply, wind and solar energy play an increasingly important role. The fluctuating feed-in of these often also decentral energy sources can lead to capacity problems at different network levels. Intelligent electrical networks, so called "smart grids", optimally optimize system capacities through ongoing coordination between producers. From a global point of view, the aim is to set a set of measures that meet the most important target parameters for the smart networks: maximum integration of renewable energy sources, maximum security of supply and an optimal functioning of the energy markets in an economically efficient manner. (rössner) [de

  19. Smart Buildings: Business Case and Action Plan

    Energy Technology Data Exchange (ETDEWEB)

    Ehrlich, Paul; Diamond, Rick

    2009-04-01

    General Services Administration (GSA) has been a pioneer in using Smart Building technologies but it has yet to achieve the full benefits of an integrated, enterprise-wide Smart Building strategy. In July 2008, GSA developed an initial briefing memorandum that identified five actions for a Smart Buildings feasibility study: (1) Identify and cluster the major building systems under consideration for a Smart Buildings initiative; (2) Identify GSA priorities for these clusters; (3) Plan for future adoption of Smart Building strategies by identifying compatible hardware; (4) Develop a framework for implementing and testing Smart Building strategies and converged networks; and (5) Document relevant GSA and industry initiatives in this arena. Based on this briefing memorandum, PBS and FAS retained consultants from Lawrence Berkeley National Laboratory, Noblis, and the Building Intelligence Group to evaluate the potential for Smart Buildings within GSA, and to develop this report. The project has included extensive interviews with GSA staff (See Appendix A), a review of existing GSA standards and documents, and an examination of relevant GSA and industry initiatives. Based on interviews with GSA staff and a review of GSA standards and documents, the project team focused on four goals for evaluating how Smart Building technology can benefit GSA: (1) Achieve Energy Efficiency Mandates--Use Smart Building technology as a tool to meet EISA 2007 and EO 13423 goals for energy efficiency. (2) Enhance Property Management--Deploy enterprise tools for improved Operations and Maintenance (O&M) performance and verification. (3) Implement Network as the Fourth Utility--Utilize a converged broadband network to support Smart Building systems and provide GSA clients with connectivity for voice, data and video. (4) Enhance Safety and Security--Harmonize Physical Access Control Systems (PACS) with Smart Building Systems.

  20. Development of a Smart Residential Fire Protection System

    Directory of Open Access Journals (Sweden)

    Juhwan Oh

    2013-01-01

    Full Text Available Embedded system is applied for the development of smart residential fire detection and extinguishing system. Wireless communication capability is integrated into various fire sensors and alarm devices. The system activates the fire alarm to warn occupants, executes emergency and rescue calls to remote residents and fire-fighting facility in an intelligent way. The effective location of extra-sprinklers within the space of interest for the fire extinguishing system is also investigated. Actual fire test suggests that the developed wireless system for the smart residential fire protection system is reliable in terms of sensors and their communication linkage.

  1. Smart electromechanical systems

    CERN Document Server

    2016-01-01

    This carefully edited book introduces the latest achievements of the scientists of the Russian Academy of Sciences in the field of theory and practice of Smart Electromechanical Systems (SEMS). The book also focuses on methods of designing and modeling of SEMS based on the principles of adaptability, intelligence, biomorphism of parallel kinematics and parallelism in information processing and control computation. The book chapters are dedicated to the following points of interest: - methods of design of SEMS modules and intelligent robots based on them; - synthesis of neural systems of automatic control over SEMS modules; - mathematical and computer modeling of SEMS modules and Cyber Physical Systems based on them; - vitality control and reliability analysis based on logic-and-probabilistic and logic-and-linguistic forecasting; - methods of optimization of SEMS control systems based on mathematical programming methods in ordinal scale and generalized mathematical programming; - information-measuring software...

  2. The design of remote intelligent terminal based on ARM

    International Nuclear Information System (INIS)

    Zhang Bin; Liu Zixin

    2014-01-01

    This paper introduces the function and principle of the remote intelligent terminal. It was designed on SmartARM 2200, uses uC/OS-II operating system and MiniGUI. And then,it gives a method to realize it. Introduces the work flow of remote intelligent terminal, and the function module of the system are analyzed in detail, and then the terminal of the principle has carried on the preliminary study. (authors)

  3. Integrated smart structures wingbox

    Science.gov (United States)

    Simon, Solomon H.

    1993-09-01

    One objective of smart structures development is to demonstrate the ability of a mechanical component to monitor its own structural integrity and health. Achievement of this objective requires the integration of different technologies, i.e.: (1) structures, (2) sensors, and (3) artificial intelligence. We coordinated a team of experts from these three fields. These experts used reliable knowledge towards the forefront of their technologies and combined the appropriate features into an integrated hardware/software smart structures wingbox (SSW) test article. A 1/4 in. hole was drilled into the SSW test article. Although the smart structure had never seen damage of this type, it correctly recognized and located the damage. Based on a knowledge-based simulation, quantification and assessment were also carried out. We have demonstrated that the SSW integrated hardware & software test article can perform six related functions: (1) identification of a defect; (2) location of the defect; (3) quantification of the amount of damage; (4) assessment of performance degradation; (5) continued monitoring in spite of damage; and (6) continuous recording of integrity data. We present the successful results of the integrated test article in this paper, along with plans for future development and deployment of the technology.

  4. Smart Building: Decision Making Architecture for Thermal Energy Management.

    Science.gov (United States)

    Uribe, Oscar Hernández; Martin, Juan Pablo San; Garcia-Alegre, María C; Santos, Matilde; Guinea, Domingo

    2015-10-30

    Smart applications of the Internet of Things are improving the performance of buildings, reducing energy demand. Local and smart networks, soft computing methodologies, machine intelligence algorithms and pervasive sensors are some of the basics of energy optimization strategies developed for the benefit of environmental sustainability and user comfort. This work presents a distributed sensor-processor-communication decision-making architecture to improve the acquisition, storage and transfer of thermal energy in buildings. The developed system is implemented in a near Zero-Energy Building (nZEB) prototype equipped with a built-in thermal solar collector, where optical properties are analysed; a low enthalpy geothermal accumulation system, segmented in different temperature zones; and an envelope that includes a dynamic thermal barrier. An intelligent control of this dynamic thermal barrier is applied to reduce the thermal energy demand (heating and cooling) caused by daily and seasonal weather variations. Simulations and experimental results are presented to highlight the nZEB thermal energy reduction.

  5. Smart Building: Decision Making Architecture for Thermal Energy Management

    Directory of Open Access Journals (Sweden)

    Oscar Hernández Uribe

    2015-10-01

    Full Text Available Smart applications of the Internet of Things are improving the performance of buildings, reducing energy demand. Local and smart networks, soft computing methodologies, machine intelligence algorithms and pervasive sensors are some of the basics of energy optimization strategies developed for the benefit of environmental sustainability and user comfort. This work presents a distributed sensor-processor-communication decision-making architecture to improve the acquisition, storage and transfer of thermal energy in buildings. The developed system is implemented in a near Zero-Energy Building (nZEB prototype equipped with a built-in thermal solar collector, where optical properties are analysed; a low enthalpy geothermal accumulation system, segmented in different temperature zones; and an envelope that includes a dynamic thermal barrier. An intelligent control of this dynamic thermal barrier is applied to reduce the thermal energy demand (heating and cooling caused by daily and seasonal weather variations. Simulations and experimental results are presented to highlight the nZEB thermal energy reduction.

  6. Home, Smart Home

    DEFF Research Database (Denmark)

    Hansen, Ellen Kathrine; Olesen, Gitte Gylling Hammershøj; Mullins, Michael

    2013-01-01

    The article places focus on how smart technologies integrated in a one family- home and particular the window offer unique challenges and opportunities for designing buildings with the best possible environments for people and nature. Toward an interdisciplinary approach, we address the interaction...... between daylight defined in technical terms and daylight defined in aesthetic, architectural terms. Through field-tests of a Danish carbon-neutral home and an analysis of five key design parameters, we explore the contradictions and potentials in smart buildings, using the smart window as example of how...... to the energy design is central. The study illuminates an approach of the design of smart houses as living organisms by connecting technology with the needs of the occupants with the power and beauty of daylight....

  7. Design principles and requirements for the ICT of future smart energy systems; Designprinzipien und Anforderungen an die IKT fuer intelligente Energiesysteme der Zukunft

    Energy Technology Data Exchange (ETDEWEB)

    Eger, Kolja [Siemens AG, Muenchen (Germany). Corporate Technology; Mohr, Werner [Nokia Siemens Networks Management International GmbH, Muenchen (Germany)

    2012-07-01

    The information and communication technology (ICT) is a key enabling technology for Smart Grids. With respect to very short innovation cycles for ICT compared to longer innovation cycles for the transition of the energy system there is a huge challenge to develop and exploit the potential of future ICT and their application in a future intelligent energy system. Different ICT technologies, such as Internet of Things or Cloud Computing are intensively being discussed. They can be summarized under the term ''Future Internet''. The EU project FINSENY is investigating the potential of Future Internet concepts and technologies in particular for Smart Energy systems. A series of design principles and the necessary ICT are developed, which are described in this paper. These design principles such as open interfaces, security-by-design, simplicity, maintenance, auto-configuration and modularity are of general nature. They will remain despite technology developments. Furthermore, several design principles are not only applicable to ICT but they are also related to design principles of intelligent energy systems like decentralized energy generation systems. (orig.)

  8. Smart Dairy Farming through Internet of Things

    Directory of Open Access Journals (Sweden)

    Poonsri Vate-U-LanAssumption University, Bangkok, Thailand

    2017-07-01

    Full Text Available The objective of this paper is to report a smart dairy farming in Ontario, Canada, which is a case study for future of food production, and ways that advancements related to the Internet of Things (IoT. It is impacting upon agricultural practice in the form of smart farming. Smart farming is the practice of intelligent agricultural management based upon technological data gathering farm practice for the purpose of increased levels of quality, production, and environmental protection. This paper will illustrate one example whereby partnerships among the academic world, government agencies and local food producing communities in Canada are adapting innovative thinking and smart technologies to address the need to implement the more effective agricultural practice. Food from Thought is a Canadian research project, based upon high-tech information systems to produce enough food for a growing human population while sustaining the Earth’s ecosystems. The paper will outline how one dairy farmer in Ontario has been able to apply smart farming technologies to increase milk production while maintaining the health of his cattle and preserving the environment. The review of applications of smart farming in Ontario such as digital tracking for a cow, genomic testing, digitally signaled birth, sensor driven crop management and data driven dairy production also details in this article.

  9. Intelligent sensor networks the integration of sensor networks, signal processing and machine learning

    CERN Document Server

    Hu, Fei

    2012-01-01

    Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, incl

  10. Cognitive Radio for Smart Grid: Theory, Algorithms, and Security

    Directory of Open Access Journals (Sweden)

    Raghuram Ranganathan

    2011-01-01

    Full Text Available Recently, cognitive radio and smart grid are two areas which have received considerable research impetus. Cognitive radios are intelligent software defined radios (SDRs that efficiently utilize the unused regions of the spectrum, to achieve higher data rates. The smart grid is an automated electric power system that monitors and controls grid activities. In this paper, the novel concept of incorporating a cognitive radio network as the communications infrastructure for the smart grid is presented. A brief overview of the cognitive radio, IEEE 802.22 standard and smart grid, is provided. Experimental results obtained by using dimensionality reduction techniques such as principal component analysis (PCA, kernel PCA, and landmark maximum variance unfolding (LMVU on Wi-Fi signal measurements are presented in a spectrum sensing context. Furthermore, compressed sensing algorithms such as Bayesian compressed sensing and the compressed sensing Kalman filter is employed for recovering the sparse smart meter transmissions. From the power system point of view, a supervised learning method called support vector machine (SVM is used for the automated classification of power system disturbances. The impending problem of securing the smart grid is also addressed, in addition to the possibility of applying FPGA-based fuzzy logic intrusion detection for the smart grid.

  11. Deep smarts.

    Science.gov (United States)

    Leonard, Dorothy; Swap, Walter

    2004-09-01

    When a person sizes up a complex situation and rapidly comes to a decision that proves to be not just good but brilliant, you think, "That was smart." After you watch him do this a few times, you realize you're in the presence of something special. It's not raw brainpower, though that helps. It's not emotional intelligence, either, though that, too, is often involved. It's deep smarts. Deep smarts are not philosophical--they're not"wisdom" in that sense, but they're as close to wisdom as business gets. You see them in the manager who understands when and how to move into a new international market, in the executive who knows just what kind of talk to give when her organization is in crisis, in the technician who can track a product failure back to an interaction between independently produced elements. These are people whose knowledge would be hard to purchase on the open market. Their insight is based on know-how more than on know-what; it comprises a system view as well as expertise in individual areas. Because deep smarts are experienced based and often context specific, they can't be produced overnight or readily imported into an organization. It takes years for an individual to develop them--and no time at all for an organization to lose them when a valued veteran walks out the door. They can be taught, however, with the right techniques. Drawing on their forthcoming book Deep Smarts, Dorothy Leonard and Walter Swap say the best way to transfer such expertise to novices--and, on a larger scale, to make individual knowledge institutional--isn't through PowerPoint slides, a Web site of best practices, online training, project reports, or lectures. Rather, the sage needs to teach the neophyte individually how to draw wisdom from experience. Companies have to be willing to dedicate time and effort to such extensive training, but the investment more than pays for itself.

  12. Bio-inspired device: a novel smart MR spring featuring tendril structure

    International Nuclear Information System (INIS)

    Kaluvan, Suresh; Park, Chun-Yong; Choi, Seung-Bok

    2016-01-01

    Smart materials such as piezoelectric patches, shape memory alloy, electro and magneto rheological fluid, magnetostrictive materials, etc are involved by far to design intelligent and high performance smart devices like injectors, dental braces, dampers, actuators and sensors. In this paper, an interesting smart device is proposed by inspiring on the structure of the bio climber plant. The key enabling concept of this proposed work is to design the smart spring damper as a helical shaped tendril structure using magneto-rheological (MR) fluid. The proposed smart spring consists of a hollow helical structure filled with MR fluid. The viscosity of the MR fluid decides the damping force of helical shaped smart spring, while the fluid intensity in the vine decides the strength of the tendril in the climber plant. Thus, the proposed smart spring can provide a new concept design of the damper which can be applicable to various damping system industries with tuneable damping force. The proposed smart spring damper has several advantageous such as cost effective, easy implementation compared with the conventional damper. In addition, the proposed spring damper can be easily designed to adapt different damping force levels without any alteration. (letter)

  13. Bio-inspired device: a novel smart MR spring featuring tendril structure

    Science.gov (United States)

    Kaluvan, Suresh; Park, Chun-Yong; Choi, Seung-Bok

    2016-01-01

    Smart materials such as piezoelectric patches, shape memory alloy, electro and magneto rheological fluid, magnetostrictive materials, etc are involved by far to design intelligent and high performance smart devices like injectors, dental braces, dampers, actuators and sensors. In this paper, an interesting smart device is proposed by inspiring on the structure of the bio climber plant. The key enabling concept of this proposed work is to design the smart spring damper as a helical shaped tendril structure using magneto-rheological (MR) fluid. The proposed smart spring consists of a hollow helical structure filled with MR fluid. The viscosity of the MR fluid decides the damping force of helical shaped smart spring, while the fluid intensity in the vine decides the strength of the tendril in the climber plant. Thus, the proposed smart spring can provide a new concept design of the damper which can be applicable to various damping system industries with tuneable damping force. The proposed smart spring damper has several advantageous such as cost effective, easy implementation compared with the conventional damper. In addition, the proposed spring damper can be easily designed to adapt different damping force levels without any alteration.

  14. Complete diagnostics of pyroactive structures for smart systems of optoelectronics

    Science.gov (United States)

    Bravina, Svetlana L.; Morozovsky, Nicholas V.

    1998-04-01

    The results of study of pyroelectric phenomena in ferroelectric materials for evidence of the possibility to embody the functions promising for creation of smart systems for optoelectronic applications are presented. Designing such systems requires the development of methods for non- destructive complete diagnostics preferably by developing the self-diagnostic ability inherent in materials with the features of smart/intelligent ones. The complex method of complete non-destructive qualification of pyroactive materials based on the method of dynamic photopyroelectric effect allows the determination of pyroelectric, piezoelectric, ferroelectric, dielectric and thermophysical characteristics. The measuring system which allows the study of these characteristics and also memory effects, switching effects, fatigue and degradation process, self-repair process and others is presented. Sample pyroactive system with increased intelligence, such as systems with built-in adaptive controllable domain structure promising for functional optics are developed and peculiarities of their characterization are discussed.

  15. A Dynamic Security Framework for Ambient Intelligent Systems: A Smart-Home Based eHealth Application

    Science.gov (United States)

    Compagna, Luca; El Khoury, Paul; Massacci, Fabio; Saidane, Ayda

    Providing context-dependent security services is an important challenge for ambient intelligent systems. The complexity and the unbounded nature of such systems make it difficult even for the most experienced and knowledgeable security engineers, to foresee all possible situations and interactions when developing the system. In order to solve this problem context based self- diagnosis and reconfiguration at runtime should be provided.

  16. Comprehensive evaluation system of intelligent urban growth

    Science.gov (United States)

    Li, Lian-Yan; Ren, Xiao-Bin

    2017-06-01

    With the rapid urbanization of the world, urban planning has become increasingly important and necessary to ensure people have access to equitable and sustainable homes, resources and jobs.This article is to talk about building an intelligent city evaluation system.First,using System Analysis Model(SAM) which concludes literature data analysis and stepwise regression analysis to describe intelligent growth scientifically and obtain the evaluation index. Then,using the improved entropy method to obtain the weight of the evaluation index.Afterwards, establishing a complete Smart Growth Comprehensive Evaluation Model(SGCEM).Finally,testing the correctness of the model.Choosing Otago(New Zealand )and Yumen(China) as research object by data mining and SGCEM model,then we get Yumen and Otago’s rational degree’s values are 0.3485 and 0.5376 respectively. It’s believed that the Otago’s smart level is higher,and it is found that the estimated value of rationality is consistent with the reality.

  17. Natural language processing in psychiatry. Artificial intelligence technology and psychopathology.

    Science.gov (United States)

    Garfield, D A; Rapp, C; Evens, M

    1992-04-01

    The potential benefit of artificial intelligence (AI) technology as a tool of psychiatry has not been well defined. In this essay, the technology of natural language processing and its position with regard to the two main schools of AI is clearly outlined. Past experiments utilizing AI techniques in understanding psychopathology are reviewed. Natural language processing can automate the analysis of transcripts and can be used in modeling theories of language comprehension. In these ways, it can serve as a tool in testing psychological theories of psychopathology and can be used as an effective tool in empirical research on verbal behavior in psychopathology.

  18. From Geomatics to Geospatial Intelligent Service Science

    Directory of Open Access Journals (Sweden)

    LI Deren

    2017-10-01

    Full Text Available The paper reviews the 60 years of development from traditional surveying and mapping to today's geospatial intelligent service science.The three important stages of surveying and mapping, namely analogue,analytical and digital stage are summarized.The author introduces the integration of GNSS,RS and GIS(3S,which forms the rise of geospatial informatics(Geomatics.The development of geo-spatial information science in digital earth era is analyzed,and the latest progress of geo-spatial information science towards real-time intelligent service in smart earth era is discussed.This paper focuses on the three development levels of "Internet plus" spatial information intelligent service.In the era of big data,the traditional geomatics will surely take advantage of the integration of communication,navigation,remote sensing,artificial intelligence,virtual reality and brain cognition science,and become geospatial intelligent service science,thereby making contributions to national economy,defense and people's livelihood.

  19. Intelligent interaction based on holographic personalized portal

    Directory of Open Access Journals (Sweden)

    Yadong Huang

    2017-06-01

    Full Text Available Purpose – The purpose of this paper is to study the architecture of holographic personalized portal, user modeling, commodity modeling and intelligent interaction. Design/methodology/approach – In this paper, the authors propose crowd-science industrial ecological system based on holographic personalized portal and its interaction. The holographic personality portal is based on holographic enterprises, commodities and consumers, and the personalized portal consists of accurate ontology, reliable supply, intelligent demand and smart cyberspace. Findings – The personalized portal can realize the information acquisition, characteristic analysis and holographic presentation. Then, the intelligent interaction, e.g. demand decomposition, personalized search, personalized presentation and demand prediction, will be implemented within the personalized portal. Originality/value – The authors believe that their work on intelligent interaction based on holographic personalized portal, which has been first proposed in this paper, is innovation focusing on the interaction between intelligence and convenience.

  20. A Novel Certificateless Signature Scheme for Smart Objects in the Internet-of-Things

    OpenAIRE

    Yeh, Kuo-Hui; Su, Chunhua; Choo, Kim-Kwang Raymond; Chiu, Wayne

    2017-01-01

    Rapid advances in wireless communications and pervasive computing technologies have resulted in increasing interest and popularity of Internet-of-Things (IoT) architecture, ubiquitously providing intelligence and convenience to our daily life. In IoT-based network environments, smart objects are embedded everywhere as ubiquitous things connected in a pervasive manner. Ensuring security for interactions between these smart things is significantly more important, and a topic of ongoing interest...

  1. Hardware Design of a Smart Meter

    OpenAIRE

    Ganiyu A. Ajenikoko; Anthony A. Olaomi

    2014-01-01

    Smart meters are electronic measurement devices used by utilities to communicate information for billing customers and operating their electric systems. This paper presents the hardware design of a smart meter. Sensing and circuit protection circuits are included in the design of the smart meter in which resistors are naturally a fundamental part of the electronic design. Smart meters provides a route for energy savings, real-time pricing, automated data collection and elimina...

  2. Live Mobile Distance Learning System for Smart Devices

    Directory of Open Access Journals (Sweden)

    Jang Ho Lee

    2015-03-01

    Full Text Available In recent years, mobile and ubiquitous computing has emerged in our daily lives, and extensive studies have been conducted in various areas using smart devices, such as tablets, smartphones, smart TVs, smart refrigerators, and smart media devices, in order to realize this computing technology. Especially, the integration of mobile networking technology and intelligent mobile devices has made it possible to develop the advanced mobile distance learning system that supports portable smart devices such as smartphones and tablets for the future IT environment. We present a synchronous mobile learning system that enables both instructor and student to participate in distance learning with their tablets. When an instructor gives a lecture using a tablet with front-face camera by bringing up slides and making annotations on them, students in the distance can watch the instructor and those slides with annotation on their own tablets in real time. A student can also ask a question or have a discussion together using the text chat feature of the system during a learning session. We also show the user evaluation of the system. A user survey shows that about 67% are in favor of the prototype of the system.

  3. The awareness of Privacy issues in Ambient Intelligence

    Directory of Open Access Journals (Sweden)

    Mar LÓPEZ

    2015-03-01

    Full Text Available Ambient Intelligence (AmI involves extensive and invisible integration of computer technologies in people´s daily lives: Smart Sensors, Smart Phones, Tablets, Wireless Sensor Network (Wi-Fi, Bluetooth, NFC, RFID, etc., Internet (Facebook, WhatsApp, Twitter, You Tube, Blogs, Cloud Computing, etc.. The Intelligent Environments (IE collect and process a massive amount of person-related and sensitive information.The aim of this work is to show the awareness of privacy issues in AmI and to identify the relevant design issues that should be addressed in order to provide privacy in the design of Ambient Intelligence’s applications focused in the user´s domain and involved technologies. We propose a conceptual framework in order to enforce privacy that takes care of interaction between technologies and devices, users and application´s domain with different modules that contain different steps relating to the privacy policies.

  4. Economic MPC for Power Management in the Smart Grid

    DEFF Research Database (Denmark)

    Hovgaard, Tobias Gybel; Edlund, Kristian; Jørgensen, John Bagterp

    2011-01-01

    To increase the amount of green energy (e.g. solar and wind) significantly a new intelligent electrical infrastructure is needed. We must not only control the production of electricity but also the consumption in an efficient and proactive manner. This future intelligent grid is in Europe known...... as the SmartGrid. In this paper we demonstrate the use of Economic Model Predictive Control to operate a portfolio of power generators and consumers such that the cost of producing the required power is minimized. With conventional coal and gas fired power generators representing the controllable power...

  5. Introduction to the Special Issue on Intelligent and Cooperative Vehicles

    Directory of Open Access Journals (Sweden)

    Vicente Milanes

    2015-11-01

    Full Text Available Intelligent vehicles constitute one of the hot research topics on the Intelligent Transportation Systems (ITS field. The development of Advanced Driver Assistance Systems (ADAS based on multi-fusion information coming from on-board cameras, lidar or radar sensors is leading to more sophisticated passive and active safety systems. Additionally, the growing interest in using wireless communications to connect the vehicle either with other vehicles or the infrastructure is moving the intelligent vehicle research field toward smart interaction, moving to the Cooperative ITS (C-ITS research field. [...

  6. 3-D Characterization of Seismic Properties at the Smart Weapons Test Range, YPG

    National Research Council Canada - National Science Library

    Miller, Richard

    2001-01-01

    The Smart Weapons Test Range (SWTR) lies within the Yuma Proving Ground (YPG), Arizona. SWTR is a new facility constructed specifically for the development and testing of futuristic intelligent battlefield sensor networks...

  7. Hardware accelerator design for change detection in smart camera

    Science.gov (United States)

    Singh, Sanjay; Dunga, Srinivasa Murali; Saini, Ravi; Mandal, A. S.; Shekhar, Chandra; Chaudhury, Santanu; Vohra, Anil

    2011-10-01

    Smart Cameras are important components in Human Computer Interaction. In any remote surveillance scenario, smart cameras have to take intelligent decisions to select frames of significant changes to minimize communication and processing overhead. Among many of the algorithms for change detection, one based on clustering based scheme was proposed for smart camera systems. However, such an algorithm could achieve low frame rate far from real-time requirements on a general purpose processors (like PowerPC) available on FPGAs. This paper proposes the hardware accelerator capable of detecting real time changes in a scene, which uses clustering based change detection scheme. The system is designed and simulated using VHDL and implemented on Xilinx XUP Virtex-IIPro FPGA board. Resulted frame rate is 30 frames per second for QVGA resolution in gray scale.

  8. Absorptive capacity and smart companies

    Directory of Open Access Journals (Sweden)

    Patricia Moro González

    2014-12-01

    Full Text Available Purpose: The current competitive environment is substantially modifying the organizations’ learning processes due to a global increase of available information allowing this to be transformed into knowledge. This opportunity has been exploited since the nineties by the tools of “Business Analytics” and “Business Intelligence” but, nevertheless, being integrated in the study of new organizational capacities engaged in the process of creating intelligence inside organizations is still an outstanding task. The review of the concept of absorptive capacity and a detailed study from the perspective of this new reality will be the main objective of study of this paper.Design/methodology/approach: By comparing classical absorptive capacity and absorptive capacity from the point of view of information management tools in each one of the three stages of the organizational learning cycle, some gaps of the former are overcome/fulfilled. The academic/bibliographical references provided in this paper have been obtained from ISI web of knowledge, Scopus and Dialnet data bases, supporting the state of affairs on absorptive capacity and thereafter filtering by "Business Intelligence" and "Business Analytics". Specialized websites and Business Schools` Publications there have also been included, crowning the content on information management tools used that are currently used in the strategic consulting.Findings: Our contribution to the literature is the development of "smart absorptive capacity". This is a new capacity emerging from the reformulation of the classical concept of absorptive capacity wherein some aspects of its definition that might have been omitted are emphasized. The result of this new approach is the creation of a new Theoretical Model of Organizational Intelligence, which aims to explain, within the framework of the Resources and Capabilities Theory, the competitive advantage achieved by the so-called smart companies

  9. MAC/GMC Code Enhanced for Coupled Electromagnetothermoelastic Analysis of Smart Composites

    Science.gov (United States)

    Bednarcyk, Brett A.; Arnold, Steven M.; Aboudi, Jacob

    2002-01-01

    Intelligent materials are those that exhibit coupling between their electromagnetic response and their thermomechanical response. This coupling allows smart materials to react mechanically (e.g., an induced displacement) to applied electrical or magnetic fields (for instance). These materials find many important applications in sensors, actuators, and transducers. Recently interest has arisen in the development of smart composites that are formed via the combination of two or more phases, one or more of which is a smart material. To design with and utilize smart composites, designers need theories that predict the coupled smart behavior of these materials from the electromagnetothermoelastic properties of the individual phases. The micromechanics model known as the generalized method of cells (GMC) has recently been extended to provide this important capability. This coupled electromagnetothermoelastic theory has recently been incorporated within NASA Glenn Research Center's Micromechanics Analysis Code with Generalized Method of Cells (MAC/GMC). This software package is user friendly and has many additional features that render it useful as a design and analysis tool for composite materials in general, and with its new capabilities, for smart composites as well.

  10. Smart grid as a service: a discussion on design issues.

    Science.gov (United States)

    Chao, Hung-Lin; Tsai, Chen-Chou; Hsiung, Pao-Ann; Chou, I-Hsin

    2014-01-01

    Smart grid allows the integration of distributed renewable energy resources into the conventional electricity distribution power grid such that the goals of reduction in power cost and in environment pollution can be met through an intelligent and efficient matching between power generators and power loads. Currently, this rapidly developing infrastructure is not as "smart" as it should be because of the lack of a flexible, scalable, and adaptive structure. As a solution, this work proposes smart grid as a service (SGaaS), which not only allows a smart grid to be composed out of basic services, but also allows power users to choose between different services based on their own requirements. The two important issues of service-level agreements and composition of services are also addressed in this work. Finally, we give the details of how SGaaS can be implemented using a FIPA-compliant JADE multiagent system.

  11. Energy-efficient digital and wireless IC design for wireless smart sensing

    Science.gov (United States)

    Zhou, Jun; Huang, Xiongchuan; Wang, Chao; Tae-Hyoung Kim, Tony; Lian, Yong

    2017-10-01

    Wireless smart sensing is now widely used in various applications such as health monitoring and structural monitoring. In conventional wireless sensor nodes, significant power is consumed in wirelessly transmitting the raw data. Smart sensing adds local intelligence to the sensor node and reduces the amount of wireless data transmission via on-node digital signal processing. While the total power consumption is reduced compared to conventional wireless sensing, the power consumption of the digital processing becomes as dominant as wireless data transmission. This paper reviews the state-of-the-art energy-efficient digital and wireless IC design techniques for reducing the power consumption of the wireless smart sensor node to prolong battery life and enable self-powered applications.

  12. Social Internet of Vehicles for Smart Cities

    Directory of Open Access Journals (Sweden)

    Leandros A. Maglaras

    2016-02-01

    Full Text Available Digital devices are becoming increasingly ubiquitous and interconnected. Their evolution to intelligent parts of a digital ecosystem creates novel applications with so far unresolved security issues. A particular example is a vehicle. As vehicles evolve from simple means of transportation to smart entities with new sensing and communication capabilities, they become active members of a smart city. The Internet of Vehicles (IoV consists of vehicles that communicate with each other and with public networks through V2V (vehicle-to-vehicle, V2I (vehicle-to-infrastructure and V2P (vehicle-to-pedestrian interactions, which enables both the collection and the real-time sharing of critical information about the condition on the road network. The Social Internet of Things (SIoT introduces social relationships among objects, creating a social network where the participants are not humans, but intelligent objects. In this article, we explore the concept of the Social Internet of Vehicles (SIoV, a network that enables social interactions both among vehicles and among drivers. We discuss technologies and components of the SIoV, possible applications and issues of security, privacy and trust that are likely to arise.

  13. Ambient Intelligence and Wearable Computing: Sensors on the Body, in the Home, and Beyond

    OpenAIRE

    Cook, Diane J.; Song, WenZhan

    2009-01-01

    Ambient intelligence has a history of focusing on technologies that are integrated into a person’s environment. However, ambient intelligence can be found on a person’s body as well. In this thematic issue we examine the role of wearable computing in the field of ambient intelligence. In this article we provide an overview of the field of wearable computing and discuss its relationship to the fields of smart environments and ambient intelligence. In addition, we introduce the papers presented...

  14. Open architecture of smart sensor suites

    Science.gov (United States)

    Müller, Wilmuth; Kuwertz, Achim; Grönwall, Christina; Petersson, Henrik; Dekker, Rob; Reinert, Frank; Ditzel, Maarten

    2017-10-01

    Experiences from recent conflicts show the strong need for smart sensor suites comprising different multi-spectral imaging sensors as core elements as well as additional non-imaging sensors. Smart sensor suites should be part of a smart sensor network - a network of sensors, databases, evaluation stations and user terminals. Its goal is to optimize the use of various information sources for military operations such as situation assessment, intelligence, surveillance, reconnaissance, target recognition and tracking. Such a smart sensor network will enable commanders to achieve higher levels of situational awareness. Within the study at hand, an open system architecture was developed in order to increase the efficiency of sensor suites. The open system architecture for smart sensor suites, based on a system-of-systems approach, enables combining different sensors in multiple physical configurations, such as distributed sensors, co-located sensors combined in a single package, tower-mounted sensors, sensors integrated in a mobile platform, and trigger sensors. The architecture was derived from a set of system requirements and relevant scenarios. Its mode of operation is adaptable to a series of scenarios with respect to relevant objects of interest, activities to be observed, available transmission bandwidth, etc. The presented open architecture is designed in accordance with the NATO Architecture Framework (NAF). The architecture allows smart sensor suites to be part of a surveillance network, linked e.g. to a sensor planning system and a C4ISR center, and to be used in combination with future RPAS (Remotely Piloted Aircraft Systems) for supporting a more flexible dynamic configuration of RPAS payloads.

  15. Artificial and Computational Intelligence for Games on Mobile Platforms

    OpenAIRE

    Congdon, Clare Bates; Hingston, Philip; Kendall, Graham

    2013-01-01

    In this chapter, we consider the possibilities of creating new and innovative games that are targeted for mobile devices, such as smart phones and tablets, and that showcase AI (Artificial Intelligence) and CI (Computational Intelligence) approaches. Such games might take advantage of the sensors and facilities that are not available on other platforms, or might simply rely on the "app culture" to facilitate getting the games into users' hands. While these games might be profitable in themsel...

  16. Beyond AI: Multi-Intelligence (MI) Combining Natural and Artificial Intelligences in Hybrid Beings and Systems

    OpenAIRE

    Stephen Fox

    2017-01-01

    Framing strongly influences actions among technology proponents and end-users. Underlying much debate about artificial intelligence (AI) are several fundamental shortcomings in its framing. First, discussion of AI is atheoretical, and therefore has limited potential for addressing the complexity of causation. Second, intelligence is considered from an anthropocentric perspective that sees human intelligence, and intelligence developed by humans, as superior to all other intelligences. Thus, t...

  17. NASA SMART Probe: Breast Cancer Application

    Science.gov (United States)

    Mah, Robert W.; Norvig, Peter (Technical Monitor)

    2000-01-01

    There is evidence in breast cancer and other malignancies that the physiologic environment within a tumor correlates with clinical outcome. We are developing a unique percutaneous Smart Probe to be used at the time of needle biopsy of the breast. The Smart Probe will simultaneously measure multiple physiologic parameters within a breast tumor. Direct and indirect measurements of tissue oxygen levels, blood flow, pH, and tissue fluid pressure will be analyzed in real-time. These parameters will be interpreted individually and collectively by innovative neural network techniques using advanced intelligent software. The goals are 1) develop a pecutaneous Smart Probe with multiple sensor modalities and applying advanced Information Technologies to provide real time diagnostic information of the tissue at tip of the probe, 2) test the percutaneous Smart Probe in women with benign and malignant breast masses who will be undergoing surgical biopsy, 3) correlate probe sensor data with benign and malignant status of breast masses, 4) determine whether the probe can detect physiologic differences within a breast tumor, and its margins, and in adjacent normal breast tissue, 5) correlate probe sensor data with known prognostic factors for breast caner, including tumor size, tumor grade, axillary lymph node metastases, estrogen receptor and progesterone receptor status.

  18. Integrating Features of Islamic Traditional Home and Smart Home

    Directory of Open Access Journals (Sweden)

    Mona El Basyouni

    2017-06-01

    Full Text Available Architecture is a mirror that reflects the various elements of its environment and surroundings, such as climate, geographical characteristics, standard architectural principles, and social, cultural and scientific developments. Muslims of different regions were able, through architecture, to portray their temperaments and environments, free of external influence and guarantee life goals for users. Every day, building owners and occupants experience the constant challenges of comfort, convenience, cost, productivity, performance and sustainability. Owners, designers, builders, and operators are continuously faced with new processes, technologies and offerings to help them achieve better building performance. Since an intelligent building is run by a “system of systems” that is integrated to deliver a higher level of operational efficiency and an improved set of user-interface tools than are usually found in traditional building automation; at the other hand Arab homes with Islamic Identity guarantee all life goals for use.. Hence, this research focus on the smart environmental treatments of Islamic features for traditional architecture in Arabs homes, features of smart home and life goals for resident users.Trying to achieve a methodology combining them for enriching Arab experience of traditional architecture and its architectural results, with the modern trends of smart architecture. This combination aims at creating a residential model combining the benefits and features of Arab Islamic identity and intelligent design.

  19. ENABLING SMART MANUFACTURING TECHNOLOGIES FOR DECISION-MAKING SUPPORT

    Science.gov (United States)

    Helu, Moneer; Libes, Don; Lubell, Joshua; Lyons, Kevin; Morris, KC

    2017-01-01

    Smart manufacturing combines advanced manufacturing capabilities and digital technologies throughout the product lifecycle. These technologies can provide decision-making support to manufacturers through improved monitoring, analysis, modeling, and simulation that generate more and better intelligence about manufacturing systems. However, challenges and barriers have impeded the adoption of smart manufacturing technologies. To begin to address this need, this paper defines requirements for data-driven decision making in manufacturing based on a generalized description of decision making. Using these requirements, we then focus on identifying key barriers that prevent the development and use of data-driven decision making in industry as well as examples of technologies and standards that have the potential to overcome these barriers. The goal of this research is to promote a common understanding among the manufacturing community that can enable standardization efforts and innovation needed to continue adoption and use of smart manufacturing technologies. PMID:28649678

  20. The proposed architecture of the Internet of Things based recommender systems for intelligent building in Tehran

    Directory of Open Access Journals (Sweden)

    Maryam Haji Shah Karam

    2016-12-01

    Full Text Available Today, the need in many cities are complex and therefore require smart cities. The complexity on the one hand, mainly because a lot of communication between various systems such as transport, communication networks, business systems, and on the other hand, citizens who are in contact with all of these systems, is . The synchronization process fast cities with innovative technology, quickly and efficiently, in turn, has a significant impact on the complexity. In this regard, one of the most important requirements for smart city planning, efficient use of information technology and communication. So to implement a Smart City, the need for clear and precise definition of it. Smart city concepts to better understand the implementation and evaluation of such domains involved better "infrastructure environment" and "environmental services" is. Much research has been done in relation to smart cities, but none on recommender systems and crowdsourcing, are not specific to the architecture. This research, conducted in Tehran smart. Then, after analyzing the different architectures based on the results of the research literature, architecture is proposed. In this architecture, the five-layer infrastructure, data collection, management and processing of data, services and applications are anticipated. The components of each layer are explained in detail. Finally, the study concluded that innovation in traditional architecture by taking advantage of the idea of ​​"crowdsourcing" and "recommender systems" can be improved in intelligent transportation systems, intelligent energy management systems smart Home smart city was in the area.

  1. Smart grids and e-mobility

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-01

    Within the third European Conference at 17th-18th October, 2011 in Munich (Federal Republic of Germany) the following lectures and posters were presented: (1) Market and billing models for electric mobility (M. Bolczek); (2) Optimal pooling of electric vehicles for ancillary markets under consideration of uncertain parameters (T. Pollok); (3) Introducing human factors psychology to vehicle-to-grid technologies (U. Hahnel); (4) The role of smart sensor networks for voltage monitoring in smart grids (P. Stoea); (5) Evaluating the impacts of electric vehicles and micro-generation in distribution networks (F. Soares); (6) Electric cars as energy storages - case study from Nordic Country (J. Lussia); (7) Are battery electric vehicles competitive? - The development of a customer value-based model (R. Colmon); (8) Technical and commercial protocol for different bidirectional integration topologies (P. Benoit); (9) The use of electric vehicles in Greece: A case study (C. Ioakimidis); (10) Fast charging station business analysis (J. Borges); (11) Power distribution networks: Intelligent substations (S2G) (M.E. Hervas); (12) Optimal design and energy management of decentralized PV-power supply units with short-term and long-term energy storage path (T. Bocklisch); (13) Easy grid analysis method for a central observing and controlling system in the low voltage grid for E-Mobility and renewable integration (A. Schuser); (14) Smart grids and EU data protection law - What is the legal framework? (J. Hladjk); (15) Smart integration of electric vehicles (A. Niesse); (16) Smart standards for smart grid devices (G. Kaestle); (17) Driving ambition: Bridging the gap between electric vehicles and smart metering (A. Galdos); (18) Analysis of an electric vehicle agent based management model (P. Papadopoulos); (19) Assessing the potential of electric vehicles and photovoltaics in a smart-grid environment in Brazil (R. Ruether); (20) Opportunities and challenges with large scale

  2. Intelligent optimization to integrate a plug-in hybrid electric vehicle smart parking lot with renewable energy resources and enhance grid characteristics

    International Nuclear Information System (INIS)

    Fazelpour, Farivar; Vafaeipour, Majid; Rahbari, Omid; Rosen, Marc A.

    2014-01-01

    Highlights: • The proposed algorithms handled design steps of an efficient parking lot of PHEVs. • Optimizations are performed with 1 h intervals to find optimum charging rates. • Multi-objective optimization is performed to find the optimum size and site of DG. • Optimal sizing of a PV–wind–diesel HRES is attained. • Charging rates are optimized intelligently during peak and off-peak times. - Abstract: Widespread application of plug-in hybrid electric vehicles (PHEVs) as an important part of smart grids requires drivers and power grid constraints to be satisfied simultaneously. We address these two challenges with the presence of renewable energy and charging rate optimization in the current paper. First optimal sizing and siting for installation of a distributed generation (DG) system is performed through the grid considering power loss minimization and voltage enhancement. Due to its benefits, the obtained optimum site is considered as the optimum location for constructing a movie theater complex equipped with a PHEV parking lot. To satisfy the obtained size of DG, an on-grid hybrid renewable energy system (HRES) is chosen. In the next set of optimizations, optimal sizing of the HRES is performed to minimize the energy cost and to find the best number of decision variables, which are the number of the system’s components. Eventually, considering demand uncertainties due to the unpredictability of the arrival and departure times of the vehicles, time-dependent charging rate optimizations of the PHEVs are performed in 1 h intervals for the 24-h of a day. All optimization problems are performed using genetic algorithms (GAs). The outcome of the proposed optimization sets can be considered as design steps of an efficient grid-friendly parking lot of PHEVs. The results indicate a reduction in real power losses and improvement in the voltage profile through the distribution line. They also show the competence of the utilized energy delivery method in

  3. Pairing of near-ultraviolet solar cells with electrochromic windows for smart management of the solar spectrum

    Science.gov (United States)

    Davy, Nicholas C.; Sezen-Edmonds, Melda; Gao, Jia; Lin, Xin; Liu, Amy; Yao, Nan; Kahn, Antoine; Loo, Yueh-Lin

    2017-08-01

    Current smart window technologies offer dynamic control of the optical transmission of the visible and near-infrared portions of the solar spectrum to reduce lighting, heating and cooling needs in buildings and to improve occupant comfort. Solar cells harvesting near-ultraviolet photons could satisfy the unmet need of powering such smart windows over the same spatial footprint without competing for visible or infrared photons, and without the same aesthetic and design constraints. Here, we report organic single-junction solar cells that selectively harvest near-ultraviolet photons, produce open-circuit voltages eclipsing 1.6 V and exhibit scalability in power generation, with active layers (10 cm2) substantially larger than those typical of demonstration organic solar cells (0.04-0.2 cm2). Integration of these solar cells with a low-cost, polymer-based electrochromic window enables intelligent management of the solar spectrum, with near-ultraviolet photons powering the regulation of visible and near-infrared photons for natural lighting and heating purposes.

  4. On the nature and nurture of intelligence and specific cognitive abilities: the more heritable, the more culture dependent.

    Science.gov (United States)

    Kan, Kees-Jan; Wicherts, Jelte M; Dolan, Conor V; van der Maas, Han L J

    2013-12-01

    To further knowledge concerning the nature and nurture of intelligence, we scrutinized how heritability coefficients vary across specific cognitive abilities both theoretically and empirically. Data from 23 twin studies (combined N = 7,852) showed that (a) in adult samples, culture-loaded subtests tend to demonstrate greater heritability coefficients than do culture-reduced subtests; and (b) in samples of both adults and children, a subtest's proportion of variance shared with general intelligence is a function of its cultural load. These findings require an explanation because they do not follow from mainstream theories of intelligence. The findings are consistent with our hypothesis that heritability coefficients differ across cognitive abilities as a result of differences in the contribution of genotype-environment covariance. The counterintuitive finding that the most heritable abilities are the most culture-dependent abilities sheds a new light on the long-standing nature-nurture debate of intelligence.

  5. Smart city planning under the climate change condition

    Science.gov (United States)

    Deng, Dexiang; Zhao, Yue; Zhou, Xi

    2017-08-01

    With the aggravation of climate change, extreme weather events occur continuously, cities are not resilient to climate change, and we need to change the concept of urban planning, centering on climate research and its research achievements, combining with the modern intelligent technology and formulating a smart city that resilience to the climate change, realizing the sustainable development of human, city, environment and society.

  6. Smart Sensor Network System For Environment Monitoring

    Directory of Open Access Journals (Sweden)

    Javed Ali Baloch

    2012-07-01

    Full Text Available SSN (Smart Sensor Network systems could be used to monitor buildings with modern infrastructure, plant sites with chemical pollution, horticulture, natural habitat, wastewater management and modern transport system. To sense attributes of phenomena and make decisions on the basis of the sensed value is the primary goal of such systems. In this paper a Smart Spatially aware sensor system is presented. A smart system, which could continuously monitor the network to observe the functionality and trigger, alerts to the base station if a change in the system occurs and provide feedback periodically, on demand or even continuously depending on the nature of the application. The results of the simulation trials presented in this paper exhibit the performance of a Smart Spatially Aware Sensor Networks.

  7. Coordinated Scheme of Under-Frequency Load Shedding with Intelligent Appliances in a Cyber Physical Power System

    Directory of Open Access Journals (Sweden)

    Qi Wang

    2016-08-01

    Full Text Available The construction of a cyber physical system in a power grid provides more potential control strategies for the power grid. With the rapid employment of intelligent terminal equipment (e.g., smart meters and intelligent appliances in the environment of a smart grid, abundant dynamic response information could be introduced to support a secure and stable power system. Combining demand response technology with the traditional under-frequency load shedding (UFLS scheme, a new UFLS strategy-determining method involving intelligent appliances is put forward to achieve the coordinated control of quick response resources and the traditional control resources. Based on this method, intelligent appliances can be used to meet the regulatory requirements of system operation in advance and prevent significant frequency drop, thereby improving the flexibility and stability of the system. Time-domain simulation verifies the effectiveness of the scheme, which is able to mitigate frequency drop and reduce the amount of load shedding.

  8. A review of smart homes- present state and future challenges.

    Science.gov (United States)

    Chan, Marie; Estève, Daniel; Escriba, Christophe; Campo, Eric

    2008-07-01

    In the era of information technology, the elderly and disabled can be monitored with numerous intelligent devices. Sensors can be implanted into their home for continuous mobility assistance and non-obtrusive disease prevention. Modern sensor-embedded houses, or smart houses, cannot only assist people with reduced physical functions but help resolve the social isolation they face. They are capable of providing assistance without limiting or disturbing the resident's daily routine, giving him or her greater comfort, pleasure, and well-being. This article presents an international selection of leading smart home projects, as well as the associated technologies of wearable/implantable monitoring systems and assistive robotics. The latter are often designed as components of the larger smart home environment. The paper will conclude by discussing future challenges of the domain.

  9. Signal processing and control challenges for smart vehicles

    Science.gov (United States)

    Zhang, Hui; Braun, Simon G.

    2017-03-01

    Smart phones have changed not only the mobile phone market but also our society during the past few years. Could the next potential intelligent device may be the vehicle? Judging by the visibility, in all media, of the numerous attempts to develop autonomous vehicles, this is certainly one of the logical outcomes. Smart vehicles would be equipped with an advanced operating system such that the vehicles could communicate with others, optimize the operation to reduce fuel consumption and emissions, enhance safety, or even become self-driving. These combined new features of vehicles require instrumentation and hardware developments, fast signal processing/fusion, decision making and online optimization. Meanwhile, the inevitable increasing system complexity would certainly challenges the control unit design.

  10. SERENITY in e-Business and Smart Item Scenarios

    Science.gov (United States)

    Benameur, Azzedine; Khoury, Paul El; Seguran, Magali; Sinha, Smriti Kumar

    SERENITY Artefacts, like Class, Patterns, Implementations and Executable Components for Security & Dependability (S&D) in addition to Serenity Runtime Framework (SRF) are discussed in previous chapters. How to integrate these artefacts with applications in Serenity approach is discussed here with two scenarios. The e-Business scenario is a standard loan origination process in a bank. The Smart Item scenario is an Ambient intelligence case study where we take advantage of Smart Items to provide an electronic healthcare infrastructure for remote healthcare assistance. In both cases, we detail how the prototype implementations of the scenarios select proper executable components through Serenity Runtime Framework and then demonstrate how these executable components of the S&D Patterns are deployed.

  11. The application of autostereoscopic display in smart home system based on mobile devices

    Science.gov (United States)

    Zhang, Yongjun; Ling, Zhi

    2015-03-01

    Smart home is a system to control home devices which are more and more popular in our daily life. Mobile intelligent terminals based on smart homes have been developed, make remote controlling and monitoring possible with smartphones or tablets. On the other hand, 3D stereo display technology developed rapidly in recent years. Therefore, a iPad-based smart home system adopts autostereoscopic display as the control interface is proposed to improve the userfriendliness of using experiences. In consideration of iPad's limited hardware capabilities, we introduced a 3D image synthesizing method based on parallel processing with Graphic Processing Unit (GPU) implemented it with OpenGL ES Application Programming Interface (API) library on IOS platforms for real-time autostereoscopic displaying. Compared to the traditional smart home system, the proposed system applied autostereoscopic display into smart home system's control interface enhanced the reality, user-friendliness and visual comfort of interface.

  12. Cyborgs and Smart Mice: How Human can they get?

    DEFF Research Database (Denmark)

    Runehov, Anne Leona Cesarine

    2008-01-01

    There are at least two scientific debates concerning the possibility to offer enhanced lifetime to the human race. One of them derives from the medical sciences and the other from the computer sciences. The former has to do with improving the quality and length of human life by improving...... their biological systems, for example by way of smart pills. The latter concerns possible improvements of the quality and length of human life by correlating high technology with human beings. Medical scientists illustrate their research progressions using smart mice. Computer scientists present advanced robot...... medical sciences regards ethical problems. Keywords: humanity, Cybernetics, artificial intelligence, Neuropharmacology, Cognitive neuroscience, Theology and Philosophy...

  13. Artificial intelligence, expert systems, computer vision, and natural language processing

    Science.gov (United States)

    Gevarter, W. B.

    1984-01-01

    An overview of artificial intelligence (AI), its core ingredients, and its applications is presented. The knowledge representation, logic, problem solving approaches, languages, and computers pertaining to AI are examined, and the state of the art in AI is reviewed. The use of AI in expert systems, computer vision, natural language processing, speech recognition and understanding, speech synthesis, problem solving, and planning is examined. Basic AI topics, including automation, search-oriented problem solving, knowledge representation, and computational logic, are discussed.

  14. Programming Collective Intelligence Building Smart Web 2.0 Applications

    CERN Document Server

    Segaran, Toby

    2008-01-01

    This fascinating book demonstrates how you can build web applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.

  15. Smart sensors and systems innovations for medical, environmental, and IoT applications

    CERN Document Server

    Yasuura, Hiroto; Liu, Yongpan; Lin, Youn-Long

    2017-01-01

    This book describes the technology used for effective sensing of our physical world and intelligent processing techniques for sensed information, which are essential to the success of Internet of Things (IoT). The authors provide a multidisciplinary view of sensor technology from materials, process, circuits, and big data domains and showcase smart sensor systems in real applications including smart home, transportation, medical, environmental, agricultural, etc. Unlike earlier books on sensors, this book provides a “global” view on smart sensors covering abstraction levels from device, circuit, systems, and algorithms. Profiles active research on smart sensors based on CMOS microelectronics; Describes applications of sensors and sensor systems in cyber physical systems, the social information infrastructure in our modern world; Includes coverage of a variety of related information technologies supporting the application of sensors; Discusses the integration of computation, networking, actuation, database...

  16. Beyond AI: Multi-Intelligence (MI Combining Natural and Artificial Intelligences in Hybrid Beings and Systems

    Directory of Open Access Journals (Sweden)

    Stephen Fox

    2017-06-01

    Full Text Available Framing strongly influences actions among technology proponents and end-users. Underlying much debate about artificial intelligence (AI are several fundamental shortcomings in its framing. First, discussion of AI is atheoretical, and therefore has limited potential for addressing the complexity of causation. Second, intelligence is considered from an anthropocentric perspective that sees human intelligence, and intelligence developed by humans, as superior to all other intelligences. Thus, the extensive post-anthropocentric research into intelligence is not given sufficient consideration. Third, AI is discussed often in reductionist mechanistic terms. Rather than in organicist emergentist terms as a contributor to multi-intelligence (MI hybrid beings and/or systems. Thus, current framing of AI can be a self-validating reduction within which AI development is focused upon AI becoming the single-variable mechanism causing future effects. In this paper, AI is reframed as a contributor to MI.

  17. Smart packaging systems for food applications: a review.

    Science.gov (United States)

    Biji, K B; Ravishankar, C N; Mohan, C O; Srinivasa Gopal, T K

    2015-10-01

    Changes in consumer preference for safe food have led to innovations in packaging technologies. This article reviews about different smart packaging systems and their applications in food packaging, packaging research with latest innovations. Active and intelligent packing are such packaging technologies which offer to deliver safer and quality products. Active packaging refers to the incorporation of additives into the package with the aim of maintaining or extending the product quality and shelf life. The intelligent systems are those that monitor the condition of packaged food to give information regarding the quality of the packaged food during transportation and storage. These technologies are designed to the increasing demand for safer foods with better shelf life. The market for active and intelligent packaging systems is expected to have a promising future by their integration into packaging materials or systems.

  18. Development of Smart Sensors System Based on Formal Concept Analysis and Ontology Model

    Directory of Open Access Journals (Sweden)

    Hongsheng Xu

    2013-06-01

    Full Text Available The smart sensor is the product of the combination of one or more sensitive components, precision analog circuits, digital circuits, microprocessor, communication interface, intelligent software systems and hardware integration in a packaging component. Formal concept analysis is from the given data to automatically extract the classification relationship between the entire hidden concept and concept, formation of concept model. Ontology is a set of relations between concepts of the specific domain and concept, and it can effectively express the general knowledge of specific field. The paper proposes development of smart sensors system based on formal concept analysis and ontology model. Smart sensor is a micro processor, sensor with information detection, information processing, information memory, logical thinking and judging function. The methods can improve the effect of the smart sensors.

  19. An electricity market with fast bidding, planning and balancing in smart grids

    NARCIS (Netherlands)

    N.F. Höning (Nicolas); J.A. La Poutré (Han)

    2014-01-01

    htmlabstractIn future energy systems, peaks in the daily electricity generation and consumption are expected to increase. The "smart grid" concept aims to maintain high levels of efficiency in the energy system by establishing distributed intelligence. Software agents (operating on devices with

  20. „THE SMART CITY PROJECT” – A METAPHOR TO BE DEFENDED

    Directory of Open Access Journals (Sweden)

    Ana Rodica STAICULESCU

    2017-12-01

    Full Text Available The paradigm of network society emphasizes a distinct pattern comparing to the previous information society, as a "result of ongoing innovations embedding social networks". The question of how technological improvements (intelligent design, the use of intelligent devices, and a larger distribution of knowledge among diverse layers and dimensions of social networks have transformed mental softs, cultural practices, and socio-economic and political organizations, through the development of the network form,- networked individuals, communities, stakeholders, cities, regions, states, "interconnected life"- gives different responses depending on the positioning of the researcher inside/outside a specific field of studies, or knowledge network, and on the attitude adopted towards technology as a "civilization shifter". The conceptualization of the „smart city project” extends dilemmas and controversy and requires new understandings of how critical-reflexive and programmed regimes of knowledge, intermingle the knowledge creation and the distribution inside/outside the city. The current paper draws a line of flight between human, institutional and technological dimensions of the smart city.

  1. Breakout 404 : a smart space implementation for lighting services in the office domain

    NARCIS (Netherlands)

    Offermans, S.A.M.; Kota Gopalakrishna, A.; Essen, van H.A.; Ozcelebi, T.

    2012-01-01

    Smart spaces provide enhanced user experience through sensing and adaptation to changing context. Hence, they allow distributed applications to show intelligent, autonomous and interactive behavior. Two important research topics within this field are machine learning and human-system interaction.

  2. Stimuli-Regulated Smart Polymeric Systems for Gene Therapy

    Directory of Open Access Journals (Sweden)

    Ansuja Pulickal Mathew

    2017-04-01

    Full Text Available The physiological condition of the human body is a composite of different environments, each with its own parameters that may differ under normal, as well as diseased conditions. These environmental conditions include factors, such as pH, temperature and enzymes that are specific to a type of cell, tissue or organ or a pathological state, such as inflammation, cancer or infection. These conditions can act as specific triggers or stimuli for the efficient release of therapeutics at their destination by overcoming many physiological and biological barriers. The efficacy of conventional treatment modalities can be enhanced, side effects decreased and patient compliance improved by using stimuli-responsive material that respond to these triggers at the target site. These stimuli or triggers can be physical, chemical or biological and can be internal or external in nature. Many smart/intelligent stimuli-responsive therapeutic gene carriers have been developed that can respond to either internal stimuli, which may be normally present, overexpressed or present in decreased levels, owing to a disease, or to stimuli that are applied externally, such as magnetic fields. This review focuses on the effects of various internal stimuli, such as temperature, pH, redox potential, enzymes, osmotic activity and other biomolecules that are present in the body, on modulating gene expression by using stimuli-regulated smart polymeric carriers.

  3. The Role of Informational Environment in Building Smart City

    Directory of Open Access Journals (Sweden)

    Bahjat Rashad Shahin

    2016-07-01

    Full Text Available The research addresses smart city concept as it is the latest urban design trends, by the investment of the capabilities of human, and artificial intelligence for the sake of the advancement of the city. The concept of a smart city is described as one of the most important manifestations of the information revolution, with the end of the twentieth, and the beginning of twenty – first century, The research attributes the emergence of the concept to: deficiencies of means, and traditional methods in building and development of cities, as well as The significant increase in the number of city and global metropolises dwellers. So, smart city approach has been adopted, along with innovative principles and methods which consolidate the performance and efficiency of the city at services, health, economic, social, and environmental levels. Global studies indicate, to the urban contributions scarcity, in the area of smart city, so the need of vocabularies, elements, and innovative solutions studies have emerged and then the role of information’s in achieving the aim of smart city initiatives. The research problem is: The acknowledge gap about the impact of the informational environment, to establish smart city initiative. The research adopts the hypothesis: A multi-disciplinary informational thought plays an essential role in achieving smart city initiative. To address the research problem, the research starts with the definition of the concept of smart city, to provide the knowledge platform, then addresses the smart city approaches, as well as, smart urban environment, smart city structure, key elements and smart networks, to concludes key vocabulary, indicators and constituents of smart city establishment, Then applied to the case studies with analytical descriptive approach, to conclude the key constituents to establish smart city in Iraq. The research concluded to confirm the role of the informational thought, represented by global research

  4. Book-Smart, Not Street-Smart: Blockchain-Based Smart Contracts and The Social Workings of Law

    Directory of Open Access Journals (Sweden)

    Karen E. C. Levy

    2017-02-01

    Full Text Available This paper critiques blockchain-based “smart contracts,” which aim to automatically and securely execute obligations without reliance on a centralized enforcement authority. Though smart contracts do have some features that might serve the goals of social justice and fairness, I suggest that they are based on a thin conception of what law does, and how it does it. Smart contracts focus on the technical form of contract to the exclusion of the social contexts within which contracts operate, and the complex ways in which people use them. In the real world, contractual obligations are enforced through all kinds of social mechanisms other than formal adjudication—and contracts serve many functions that are not explicitly legal in nature, or even designed to be formally enforced. I describe three categories of contracting practices in which people engage (the inclusion of facially unenforceable terms, the inclusion of purposefully underspecified terms, and willful nonenforcement of enforceable terms to illustrate how contracts actually “work.” The technology of smart contracts neglects the fact that people use contracts as social resources to manage their relations. The inflexibility that they introduce, by design, might short-circuit a number of social uses to which law is routinely put. Therefore, I suggest that attention to the social and relational contexts of contracting are essential considerations for the discussion, development, and deployment of smart contracts.

  5. Gesture recognition for smart home applications using portable radar sensors.

    Science.gov (United States)

    Wan, Qian; Li, Yiran; Li, Changzhi; Pal, Ranadip

    2014-01-01

    In this article, we consider the design of a human gesture recognition system based on pattern recognition of signatures from a portable smart radar sensor. Powered by AAA batteries, the smart radar sensor operates in the 2.4 GHz industrial, scientific and medical (ISM) band. We analyzed the feature space using principle components and application-specific time and frequency domain features extracted from radar signals for two different sets of gestures. We illustrate that a nearest neighbor based classifier can achieve greater than 95% accuracy for multi class classification using 10 fold cross validation when features are extracted based on magnitude differences and Doppler shifts as compared to features extracted through orthogonal transformations. The reported results illustrate the potential of intelligent radars integrated with a pattern recognition system for high accuracy smart home and health monitoring purposes.

  6. Smart Grids Cyber Security Issues and Challenges

    OpenAIRE

    Imen Aouini; Lamia Ben Azzouz

    2015-01-01

    The energy need is growing rapidly due to the population growth and the large new usage of power. Several works put considerable efforts to make the electricity grid more intelligent to reduce essentially energy consumption and provide efficiency and reliability of power systems. The Smart Grid is a complex architecture that covers critical devices and systems vulnerable to significant attacks. Hence, security is a crucial factor for the success and the wide deployment of...

  7. Smart factory in the context of 4th industrial revolution: challenges and opportunities for Romania

    Science.gov (United States)

    Pîrvu, B. C.; Zamfirescu, C. B.

    2017-08-01

    Manufacturing companies, independent of operation sector and size, must be able to produce lot size one products, just-in-time at a competitive cost. Coping with this high adaptability and short reaction times proves to be very challenging. New approaches must be taken into consideration for designing modular, intelligent and cooperative production systems which are easy to integrate with the entire factory. The coined term for this network of intelligent interacting artefacts system is cyber-physical systems (CPS). CPS is often used in the context of Industry 4.0 - or what many consider the forth industrial revolution. The paper presents an overview of key technological and social requirements to map the Smart Factory vision into reality. Finally, global and Romanian specific challenges hindering the vision of a true Smart Factory to become reality are presented.

  8. Smart Spectrometer for Distributed Fuzzy Control

    OpenAIRE

    Benoit, Eric; Foulloy, Laurent

    2009-01-01

    Document rédigé sous FrameMaker (pas sous Latex); International audience; If the main use of colour measurement is the metrology, it is now possible to find industrial control applications which uses this information. Using colour in process control leads to specific problems where human perception has to be replaced by colour sensors. This paper relies on the fuzzy representation of colours that can be taken into account by fuzzy controllers. If smart sensors already include intelligent func...

  9. Adaptive and active materials: selected papers from the ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS 13) (Snowbird, UT, USA, 16-18 September 2013)

    Science.gov (United States)

    Johnson, Nancy; Naguib, Hani; Turner, Travis; Anderson, Iain; Bassiri-Gharb, Nazanin; Daqaq, Mohammed; Baba Sundaresan, Vishnu; Sarles, Andy

    2014-10-01

    The sixth annual meeting of the ASME Smart Materials, Adaptive Structures and Intelligent Systems Conference (SMASIS) was held in the beautiful mountain encircled Snowbird Resort and Conference Center in Little Cottonwood Canyon near Salt Lake City, Utah. It is the conference's objective to provide an up-to-date overview of research trends in the entire field of smart materials systems in a friendly casual forum conducive to the exchange of ideas and latest results. As each year we strive to grow and offer new experiences, this year we included special focused topic tracks on nanoscale multiferroic materials and origami engineering. The cross-disciplinary emphasis was reflected in keynote speeches by Professor Kaushik Bhattacharya (California Institute of Technology) on 'Cyclic Deformation and the Interplay between Phase Transformation and Plasticity in Shape Memory Alloys', by Professor Alison Flatau (University of Maryland at College Park) on 'Structural Magnetostrictive Alloys: The Other Smart Material', and by Dr Leslie Momoda (Director of the Sensors and Materials Laboratories, HRL Laboratories, LLC, Malibu, CA) on 'Architecturing New Functional Materials: An Industrial Perspective'. SMASIS 2013 was divided into seven symposia which span basic research, applied technological design and development, and industrial and governmental integrated system and application demonstrations. SYMP 1. Development and Characterization of Multifunctional Materials. SYMP 2. Mechanics and Behavior of Active Materials. SYMP 3. Modeling, Simulation and Control of Adaptive Systems. SYMP 4. Integrated System Design and Implementation. SYMP 5. Structural Health Monitoring. SYMP 6. Bioinspired Smart Materials and Systems. SYMP 7. Energy Harvesting. Authors of selected papers in the materials areas (symposia 1, 2, and 6) as well as energy harvesting (symposium 7) were invited to write a full journal article on their presentation topic for publication in this special issue of Smart

  10. Emotional intelligence and academic performance in university students of natural science

    Science.gov (United States)

    Alvarez Cuellar, Jose Habacuc

    This research presents the concept of emotional intelligence, more specifically of John D. Mayer, Peter Salovey and David R. Caruso, as an important element to be applied in learning science. It is an explanatory-correlation study between emotional intelligence and academic performance of students in natural sciences from the University of Puerto Rico, Rio Piedras campus. The population is approximately 2,539 students, with a sample of approximately 337 students. The instrument used to calculate the IE is the TMSS-24 composted of three dimensions of the original scale: Attention, Clarity and Repair. It was validated by Fernandez, B. P., Extremera, N. and Natalio, R. (2004), with reliability in Attention of (0.86), Clarity (0.90) and Repair (0.86). For the calculation of academic achievement (RA) was used an average of the courses seen by the students in the academic semester of 2007. The variables emotional intelligence and its components with academic achievement (RA), Index of general application of the student, gender, age and studies concentration were correlated but it was founded no correlation between them. It was founded a difference in the attention on gender, where it is concluded that woman express better and more the feelings than men.

  11. SmartTopo Intelligent Real-Time Topographic Information Collection System, Phase II

    Data.gov (United States)

    National Aeronautics and Space Administration — The SmartTopo SBIR phase I program resulted in the creation of the first technology designed to provide robotic vehicles with the ability to "learn and remember" the...

  12. Rendering Intelligence at Physical Layer for Smart Addressing and Multiple Access

    DEFF Research Database (Denmark)

    Sanyal, Rajarshi; Prasad, Ramjee; Cianca, Ernestina

    2010-01-01

    addressing of a node. For a typical closed user group type of network, we propose a multiple access mechanism and network topology which will not only eliminate the need of intelligent core network equipments in the network area , but to use this intelligent physical layer to directly reach any node over......The primary objective of this work is to propose a technique of wireless communication, where we render intelligence to the physical layer. We aim to realize a physical layer that can take part in some processes which is otherwise confined to higher layer signalling activities, like for example...... the fundamentals behind the proposed multiple access scheme and draws out the benefits compared to the existing multiple access processes based on cellular approach....

  13. Location Intelligence Application in Digital Data Activity Dimensioning in Smart Cities

    DEFF Research Database (Denmark)

    Jensen, Michael; Gutierrez Lopez, Jose Manuel; Pedersen, Jens Myrup

    2014-01-01

    Cities around the globe are now following the "smart" trend. Smart cities are complex systems of systems that rely on IT to improve their efficiency in terms of economics or sustainability. Many of the activities involved in this context require data to be transferred via communication networks...... Systems data to create "dynamic data activity heat maps". These heat maps provide a spatial-temporal overview of the behavior of network data in cities as a whole. In addition, we illustrate the model's application to a specific geographic area of relevance....... of data networks' activity in such complex systems. It is essential to describe and understand when and where data is generated to effectively design, plan and manage communication networks. We introduce a model based on traffic generation rules and patterns to be applied over Geographic Information...

  14. Adaptive Data Collection Mechanisms for Smart Monitoring of Distribution Grids

    DEFF Research Database (Denmark)

    Kemal, Mohammed Seifu; Olsen, Rasmus Løvenstein

    2016-01-01

    Smart Grid systems not only transport electric energy but also information which will be active part of the electricity supply system. This has led to the introduction of intelligent components on all layers of the electrical grid in power generation, transmission, distribution and consumption...... in the loop test-bed with power and communication co-simulation for validation purposes....

  15. Intelligent Shutter Speech Control System Based on DSP

    Directory of Open Access Journals (Sweden)

    Yonghong Deng

    2017-01-01

    Full Text Available Based on TMS320F28035 DSP, this paper designed a smart shutters voice control system, which realized the functions of opening and closing shutters, intelligent switching of lighting mode and solar power supply through voice control. The traditional control mode is converted to voice control at the same time with automatic lighting and solar power supply function. In the convenience of people’s lives at the same time more satisfied with today’s people on the intelligent and environmental protection of the two concepts of the pursuit. The whole system is simple, low cost, safe and reliable.

  16. MOOC de Introducción al Business intelligence

    OpenAIRE

    Masip Rodó, David; Garrigues Olivella, Carles; Guitart Hormigo, María Isabel; Rius Gavidia, Àngels; Minguillón Alfonso, Julià; Rodríguez González, M. Elena; Rodríguez Bermúdez, José Ramón; Pujol Jover, Maria; Conesa Caralt, Jordi; Marco Simó, Josep Maria

    2015-01-01

    Colección de vídeos docentes del MOOC de Introducción al Business intelligence que la Universitat Oberta de Catalunya. El Business Intelligence es uno de los puntales de la actual revolución tecnológica que estamos experimentando. La cantidad de datos generados por la sociedad de la información crece día a día, y seguirá creciendo gracias a la explosión de las redes sociales, las smarts cities, el big data, los dispositivos móviles, los sensores, etc. Este incremento exponencial del volumen d...

  17. HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management.

    OpenAIRE

    Rojas Barahona , Lina Maria; Quaglini , Silvana; Stefanelli , Mario

    2009-01-01

    International audience; The prospective home-care management will probably of- fer intelligent conversational assistants for supporting patients at home through natural language interfaces. Homecare assistance in natural lan- guage, HomeNL, is a proof-of-concept dialogue system for the manage- ment of patients with hypertension. It follows up a conversation with a patient in which the patient is able to take the initiative. HomeNL pro- cesses natural language, makes an internal representation...

  18. THE CONTRIBUTION OF THE OPEN DATA TO THE DEVELOPMENT OF THE SMART CITIES

    Directory of Open Access Journals (Sweden)

    Eleftheria KOLOKYTHA

    2015-10-01

    Full Text Available Human as an intelligent being was always searching for ways to make his life easier. The first step that brought the spark of evolution was the fire and the wheel, and as the years were passing by, when the industrial revolution took place, that was the dawn of the new age of continuous and rapid technological advancements, aiming for improvement of wellbeing. Through the recent years of the economic crisis improvement of wellbeing was also connected to the reduction of costs, responsible use of energy sources and actions that produce general benefits to the society. Within this context, the term of the smart city resurfaced. In addition the open data projects encourage citizens or users to develop applications and digital services with the reuse of public data, in order to improve the quality and level of participation of public services. The purpose of this study is to discuss a brief history of the smart cities initiatives worldwide, while trying to sketch the most basic characteristics of a smart city. Also, some techniques are discussed in order to lead successfully to the preservation of the intelligent character of a city. However, someone always has to have in mind that the citizen is the most crucial part of the system that is called smart city and in order to be active participant of this evolution, s/he has to be also one of the recipients of the open data.

  19. Appearing smart: the impression management of intelligence, person perception accuracy, and behavior in social interaction.

    Science.gov (United States)

    Murphy, Nora A

    2007-03-01

    Intelligence is an important trait that affects everyday social interaction. The present research utilized the ecological perspective of social perception to investigate the impression management of intelligence and strangers' evaluations of targets' intelligence levels. The ability to effectively portray an impression of intelligence to outside judges as well as interaction partners was appraised and the effect of impression management on the accurate judgment of intelligence was assessed. In addition, targets' behavior was studied in relation to impression management, perceived intelligence, and actual measured intelligence. Impression-managing targets appeared more intelligent to video judges but not to their interaction partner as compared to controls. The intelligence quotient (IQ) of impression-managing targets was more accurately judged than controls' IQ. Impression-managing targets displayed distinct nonverbal behavioral patterns that differed from controls. Looking while speaking was a key behavior: It significantly correlated with IQ, was successfully manipulated by impression-managing targets, and contributed to higher perceived intelligence ratings.

  20. Disease Diagnosis in Smart Healthcare: Innovation, Technologies and Applications

    Directory of Open Access Journals (Sweden)

    Kwok Tai Chui

    2017-12-01

    Full Text Available To promote sustainable development, the smart city implies a global vision that merges artificial intelligence, big data, decision making, information and communication technology (ICT, and the internet-of-things (IoT. The ageing issue is an aspect that researchers, companies and government should devote efforts in developing smart healthcare innovative technology and applications. In this paper, the topic of disease diagnosis in smart healthcare is reviewed. Typical emerging optimization algorithms and machine learning algorithms are summarized. Evolutionary optimization, stochastic optimization and combinatorial optimization are covered. Owning to the fact that there are plenty of applications in healthcare, four applications in the field of diseases diagnosis (which also list in the top 10 causes of global death in 2015, namely cardiovascular diseases, diabetes mellitus, Alzheimer’s disease and other forms of dementia, and tuberculosis, are considered. In addition, challenges in the deployment of disease diagnosis in healthcare have been discussed.

  1. Automated assessment of cognitive health using smart home technologies.

    Science.gov (United States)

    Dawadi, Prafulla N; Cook, Diane J; Schmitter-Edgecombe, Maureen; Parsey, Carolyn

    2013-01-01

    The goal of this work is to develop intelligent systems to monitor the wellbeing of individuals in their home environments. This paper introduces a machine learning-based method to automatically predict activity quality in smart homes and automatically assess cognitive health based on activity quality. This paper describes an automated framework to extract set of features from smart home sensors data that reflects the activity performance or ability of an individual to complete an activity which can be input to machine learning algorithms. Output from learning algorithms including principal component analysis, support vector machine, and logistic regression algorithms are used to quantify activity quality for a complex set of smart home activities and predict cognitive health of participants. Smart home activity data was gathered from volunteer participants (n=263) who performed a complex set of activities in our smart home testbed. We compare our automated activity quality prediction and cognitive health prediction with direct observation scores and health assessment obtained from neuropsychologists. With all samples included, we obtained statistically significant correlation (r=0.54) between direct observation scores and predicted activity quality. Similarly, using a support vector machine classifier, we obtained reasonable classification accuracy (area under the ROC curve=0.80, g-mean=0.73) in classifying participants into two different cognitive classes, dementia and cognitive healthy. The results suggest that it is possible to automatically quantify the task quality of smart home activities and perform limited assessment of the cognitive health of individual if smart home activities are properly chosen and learning algorithms are appropriately trained.

  2. The often neglected yet crucial element in smart grid strategies

    Energy Technology Data Exchange (ETDEWEB)

    DiMarco, T. [Utility Industry Global Marketing Security, New York, NY (United States); Smith, W. [Intergraph Corp., Huntsville, AL (United States)

    2008-11-15

    Smart grids consist of automation technology that includes selfhealing networks, intelligent applications, and smart meters to improve load management. Electric utilities can benefit from making the transition from existing infrastructure to leading edge smart grid technology which offers better reliability and reduced maintenance costs. The smart grid improves the efficiency of electrical transmission and distribution, whether it involves carbon policies, grid modernization, renewable energy sources or smart end-use devices for the customer. Smart grids are expected to improve scheduling efficiency, dispatch management, transmission line surveillance and cyber security by enabling faster and better decisions from the control room. However, a smart grid control center is prone to human error. Operators must monitor data, locate work crews, analyze power system reports, and survey real-time transmission line data. They must choose optimal network configurations, whether it is to control voltage or to manage system restart following an outage. To do so, they need a system that will allow them to speed their analysis and take action. The true value of a smart grid is being able to see and control several critical applications in one unified system. A common operating picture improves overall situational awareness, reduces costs and increases efficiency in grid operations. The control center of the future will have 2D and 3D graphical visualization of complex real-time data to improve situational awareness, with multiple layers of information, including outages, distribution automation, geographic information systems, network analysis, and workforce management in a unified system. 1 fig.

  3. Flood AI: An Intelligent Systems for Discovery and Communication of Disaster Knowledge

    Science.gov (United States)

    Demir, I.; Sermet, M. Y.

    2017-12-01

    Communities are not immune from extreme events or natural disasters that can lead to large-scale consequences for the nation and public. Improving resilience to better prepare, plan, recover, and adapt to disasters is critical to reduce the impacts of extreme events. The National Research Council (NRC) report discusses the topic of how to increase resilience to extreme events through a vision of resilient nation in the year 2030. The report highlights the importance of data, information, gaps and knowledge challenges that needs to be addressed, and suggests every individual to access the risk and vulnerability information to make their communities more resilient. This project presents an intelligent system, Flood AI, for flooding to improve societal preparedness by providing a knowledge engine using voice recognition, artificial intelligence, and natural language processing based on a generalized ontology for disasters with a primary focus on flooding. The knowledge engine utilizes the flood ontology and concepts to connect user input to relevant knowledge discovery channels on flooding by developing a data acquisition and processing framework utilizing environmental observations, forecast models, and knowledge bases. Communication channels of the framework includes web-based systems, agent-based chat bots, smartphone applications, automated web workflows, and smart home devices, opening the knowledge discovery for flooding to many unique use cases.

  4. Intelligent indexing

    International Nuclear Information System (INIS)

    Farkas, J.

    1992-01-01

    In this paper we discuss the relevance of artificial intelligence to the automatic indexing of natural language text. We describe the use of domain-specific semantically-based thesauruses and address the problem of creating adequate knowledge bases for intelligent indexing systems. We also discuss the relevance of the Hilbert space ι 2 to the compact representation of documents and to the definition of the similarity of natural language texts. (author). 17 refs., 2 figs

  5. Intelligent indexing

    Energy Technology Data Exchange (ETDEWEB)

    Farkas, J

    1993-12-31

    In this paper we discuss the relevance of artificial intelligence to the automatic indexing of natural language text. We describe the use of domain-specific semantically-based thesauruses and address the problem of creating adequate knowledge bases for intelligent indexing systems. We also discuss the relevance of the Hilbert space {iota}{sup 2} to the compact representation of documents and to the definition of the similarity of natural language texts. (author). 17 refs., 2 figs.

  6. Quo Vadis, Artificial Intelligence?

    OpenAIRE

    Berrar, Daniel; Sato, Naoyuki; Schuster, Alfons

    2010-01-01

    Since its conception in the mid 1950s, artificial intelligence with its great ambition to understand and emulate intelligence in natural and artificial environments alike is now a truly multidisciplinary field that reaches out and is inspired by a great diversity of other fields. Rapid advances in research and technology in various fields have created environments into which artificial intelligence could embed itself naturally and comfortably. Neuroscience with its desire to understand nervou...

  7. 16th International Conference on Hybrid Intelligent Systems and the 8th World Congress on Nature and Biologically Inspired Computing

    CERN Document Server

    Haqiq, Abdelkrim; Alimi, Adel; Mezzour, Ghita; Rokbani, Nizar; Muda, Azah

    2017-01-01

    This book presents the latest research in hybrid intelligent systems. It includes 57 carefully selected papers from the 16th International Conference on Hybrid Intelligent Systems (HIS 2016) and the 8th World Congress on Nature and Biologically Inspired Computing (NaBIC 2016), held on November 21–23, 2016 in Marrakech, Morocco. HIS - NaBIC 2016 was jointly organized by the Machine Intelligence Research Labs (MIR Labs), USA; Hassan 1st University, Settat, Morocco and University of Sfax, Tunisia. Hybridization of intelligent systems is a promising research field in modern artificial/computational intelligence and is concerned with the development of the next generation of intelligent systems. The conference’s main aim is to inspire further exploration of the intriguing potential of hybrid intelligent systems and bio-inspired computing. As such, the book is a valuable resource for practicing engineers /scientists and researchers working in the field of computational intelligence and artificial intelligence.

  8. Computational Intelligence in Intelligent Data Analysis

    CERN Document Server

    Nürnberger, Andreas

    2013-01-01

    Complex systems and their phenomena are ubiquitous as they can be found in biology, finance, the humanities, management sciences, medicine, physics and similar fields. For many problems in these fields, there are no conventional ways to mathematically or analytically solve them completely at low cost. On the other hand, nature already solved many optimization problems efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them. Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. As only a few researchers in that field, Rudolf Kruse has contributed in many important ways to the understanding, modeling and application of computational intelligence methods. On occasion of his 60th birthday, a collection of original papers of leading researchers in the field of computational intell...

  9. Data Mining Techniques for Detecting Household Characteristics Based on Smart Meter Data

    Directory of Open Access Journals (Sweden)

    Krzysztof Gajowniczek

    2015-07-01

    Full Text Available The main goal of this research is to discover the structure of home appliances usage patterns, hence providing more intelligence in smart metering systems by taking into account the usage of selected home appliances and the time of their usage. In particular, we present and apply a set of unsupervised machine learning techniques to reveal specific usage patterns observed at an individual household. The work delivers the solutions applicable in smart metering systems that might: (1 contribute to higher energy awareness; (2 support accurate usage forecasting; and (3 provide the input for demand response systems in homes with timely energy saving recommendations for users. The results provided in this paper show that determining household characteristics from smart meter data is feasible and allows for quickly grasping general trends in data.

  10. Artificial intelligence methods applied for quantitative analysis of natural radioactive sources

    International Nuclear Information System (INIS)

    Medhat, M.E.

    2012-01-01

    Highlights: ► Basic description of artificial neural networks. ► Natural gamma ray sources and problem of detections. ► Application of neural network for peak detection and activity determination. - Abstract: Artificial neural network (ANN) represents one of artificial intelligence methods in the field of modeling and uncertainty in different applications. The objective of the proposed work was focused to apply ANN to identify isotopes and to predict uncertainties of their activities of some natural radioactive sources. The method was tested for analyzing gamma-ray spectra emitted from natural radionuclides in soil samples detected by a high-resolution gamma-ray spectrometry based on HPGe (high purity germanium). The principle of the suggested method is described, including, relevant input parameters definition, input data scaling and networks training. It is clear that there is satisfactory agreement between obtained and predicted results using neural network.

  11. Designing Smart Health Care Technology into the Home of the Future

    Energy Technology Data Exchange (ETDEWEB)

    Warren, S.; Craft, R.L.; Bosma, J.T.

    1999-04-07

    The US health care industry is experiencing a substantial paradigm shift with regard to home care due to the convergence of several technology areas. Increasingly-capable telehealth systems and the internet are not only moving the point of care closer to the patient, but the patient can now assume a more active role in his or her own care. These technologies, coupled with (1) the migration of the health care industry to electronic patient records and (2) the emergence of a growing number of enabling health care technologies (e.g., novel biosensors, wearable devices, and intelligent software agents), demonstrate unprecedented potential for delivering highly automated, intelligent health care in the home. This editorial paper presents a vision for the implementation of intelligent health care technology in the home of the future, focusing on areas of research that have the highest potential payoff given targeted government funding over the next ten years. Here, intelligent health care technology means smart devices and systems that are aware of their context and can therefore assimilate information to support care decisions. A systems perspective is used to describe a framework under which devices can interact with one another in a plug-and-play manner. Within this infrastructure, traditionally passive sensors and devices will have read/write access to appropriate portions of an individual's electronic medical record. Through intelligent software agents, plug-and-play mechanisms, messaging standards, and user authentication tools, these smart home-based medical devices will be aware of their own capabilities, their relationship to the other devices in the home system, and the identity of the individual(s) from whom they acquire data. Information surety technology will be essential to maintain the confidentiality of patient-identifiable medical information and to protect the integrity of geographically dispersed electronic medical records with which each home

  12. PALESTINE AUTOMOTIVE LICENSE IDENTITY RECOGNITION FOR INTELLIGENT PARKING SYSTEM

    Directory of Open Access Journals (Sweden)

    ANEES ABU SNEINEH

    2017-05-01

    Full Text Available Providing employees with protection and security is one of the key concerns of any organization. This goal can be implemented mainly by managing and protecting employees’ cars in the parking area. Therefore, a parking area must be managed and organized with smart technologies and tools that can be applied and integrated in an intelligent parking system. This paper presents the tools based on image recognition technology that can be used to effectively control various parts of a parking system. An intelligent automotive parking system is effectively implemented by integrating image processing technologies and an Arduino controller. Results show that intelligent parking is successfully implemented based on car ID image capture to meet the need for managing and organizing car parking systems.

  13. Network control stations in the smart grid. Process and information knots for business intelligence applications; Netzleitstellen im Smart Grid. Prozess- und Informationsknoten fuer Business Intelligence Applikationen

    Energy Technology Data Exchange (ETDEWEB)

    Kautsch, Stephan; Kroll, Meinhard [ABB AG, Mannheim (Germany); Schoellhorn, Daniel [EnBW Regional AG, Stuttgart (Germany)

    2012-07-01

    The degree of automation in the distribution will increase, whereas a more extensive monitoring is possible. Smart metering in the local network station replaces the drag pointers. This allows the pre-determined load flows to be precise and it can be determined and valuable data can be collected about how resources, for example the transformers in the secondary substations, are actually utilized. The amount of information available is increasing steadily, not least because of the increasing expansion of smart meters, that also provide valuable information for the operation of the distribution networks. This ''flood'' of data that is processed by the system, filtered, and analyzed must be prepared for the user in order to make sense, but can also be used to support and optimize many business processes. Although these tasks mentioned are usually not yet allocated within the grid operator organization, they offer themselves to be placed close to the network control centers as they propose new challenges but also opportunities. (orig.)

  14. Intelligent control for braking-induced longitudinal vibration responses of floating-type railway bridges

    Science.gov (United States)

    Qu, Wei-Lian; Qin, Shun-Quan; Tu, Jian-Weia; Liu, Jia; Zhou, Qiang; Cheng, Haibin; Pi, Yong-Lin

    2009-12-01

    This paper presents an intelligent control method and its engineering application in the control of braking-induced longitudinal vibration of floating-type railway bridges. Equations of motion for the controlled floating-type railway bridges have been established based on the analysis of the longitudinal vibration responses of floating-type railway bridges to train braking and axle-loads of moving trains. For engineering applications of the developed theory, a full-scale 500 kN smart magnetorheologic (MR) damper has been designed, fabricated and used to carry out experiments on the intelligent control of braking-induced longitudinal vibration. The procedure for using the developed intelligent method in conjunction with the full-scale 500 kN MR dampers has been proposed and used to control the longitudinal vibration responses of the deck of floating-type railway bridges induced by train braking and axle-loads of moving trains. This procedure has been applied to the longitudinal vibration control of the Tian Xingzhou highway and railway cable-stayed bridge over the Yangtze River in China. The simulated results have shown that the intelligent control system using the smart MR dampers can effectively control the longitudinal response of the floating-type railway bridge under excitations of braking and axle-loads of moving trains.

  15. Intelligent control for braking-induced longitudinal vibration responses of floating-type railway bridges

    International Nuclear Information System (INIS)

    Qu, Wei-Lian; Tu, Jian-Weia; Liu, Jia; Zhou, Qiang; Qin, Shun-Quan; Cheng, Haibin; Pi, Yong-Lin

    2009-01-01

    This paper presents an intelligent control method and its engineering application in the control of braking-induced longitudinal vibration of floating-type railway bridges. Equations of motion for the controlled floating-type railway bridges have been established based on the analysis of the longitudinal vibration responses of floating-type railway bridges to train braking and axle-loads of moving trains. For engineering applications of the developed theory, a full-scale 500 kN smart magnetorheologic (MR) damper has been designed, fabricated and used to carry out experiments on the intelligent control of braking-induced longitudinal vibration. The procedure for using the developed intelligent method in conjunction with the full-scale 500 kN MR dampers has been proposed and used to control the longitudinal vibration responses of the deck of floating-type railway bridges induced by train braking and axle-loads of moving trains. This procedure has been applied to the longitudinal vibration control of the Tian Xingzhou highway and railway cable-stayed bridge over the Yangtze River in China. The simulated results have shown that the intelligent control system using the smart MR dampers can effectively control the longitudinal response of the floating-type railway bridge under excitations of braking and axle-loads of moving trains

  16. 'Smart' homes and telecare for independent living.

    Science.gov (United States)

    Tang, P; Venables, T

    2000-01-01

    Telecare services and 'smart' homes share a common technological base in information technology and telecommunications. There is growing interest in both telecare services and smart homes, although they have been studied in isolation. Telecare has been driven largely by perceived cost savings and improved service delivery to the home, leading to improved quality of life and independent living. Smart homes are also expected to provide better and safer living conditions. The integration of the two should produce more secure and autonomous living. There are different forms of telecare services, as there are different types of smart homes, each ranging from basic systems involving the use of alarms and the ordinary telephone to intelligent monitoring with sensors and interactive communication. The introduction of these systems has policy implications, such as the need for coordination between health, social services and housing policy makers, which will reduce duplication and inefficient allocation of resources. Successful delivery of telecare to the home is as much dependent on the construction and condition of the housing stock as it is on the ability of the care provider to meet users' needs. If the UK National Health Service (NHS) could replace a significant proportion of domiciliary nursing visits by telephone calls, then savings of up of 200 million Pounds per annum would be possible.

  17. From the accidental to articulated smart city: The creation and work of ‘Smart Dublin’: The Programmable City Working Paper 29

    OpenAIRE

    Coletta, Claudio; Heaphy, Liam; Kitchin, Rob

    2017-01-01

    While there is a relatively extensive literature concerning the nature of smart cities in general, the roles of corporate actors in their production, and the development and deployment of specific smart city technologies, to date there have been relatively few studies that have examined the situated practices as to how the smart city as a whole unfolds in specific places. In this paper, we chart the smart city ecosystem in Dublin, Ireland, and examine how the four city authorities have active...

  18. Multi-agent control system with information fusion based comfort model for smart buildings

    International Nuclear Information System (INIS)

    Wang, Zhu; Wang, Lingfeng; Dounis, Anastasios I.; Yang, Rui

    2012-01-01

    Highlights: ► Proposed a model to manage indoor energy and comfort for smart buildings. ► Developed a control system to maximize comfort with minimum energy consumption. ► Information fusion with ordered weighted averaging aggregation is used. ► Multi-agent technology and heuristic intelligent optimization are deployed in developing the control system. -- Abstract: From the perspective of system control, a smart and green building is a large-scale dynamic system with high complexity and a huge amount of information. Proper combination of the available information and effective control of the overall building system turns out to be a big challenge. In this study, we proposed a building indoor energy and comfort management model based on information fusion using ordered weighted averaging (OWA) aggregation. A multi-agent control system with heuristic intelligent optimization is developed to achieve a high level of comfort with the minimum power consumption. Case studies and simulation results are presented and discussed in this paper.

  19. On-line Configuration of Network Emulator for Intelligent Energy System Testbed Applications

    DEFF Research Database (Denmark)

    Kemal, Mohammed Seifu; Iov, Florin; Olsen, Rasmus Løvenstein

    2015-01-01

    Intelligent energy networks (or Smart Grids) provide efficient solutions for a grid integrated with near-real-time communication technologies between various grid assets in power generation, transmission and distribution systems. The design of a communication network associated with intelligent...... power system involves detailed analysis of its communication requirements, a proposal of the appropriate protocol architecture, the choice of appropriate communication technologies for each case study, and a means to support heterogeneous communication technology management system. This paper discuses...

  20. Development of a Smart Residential Fire Protection System

    OpenAIRE

    Juhwan Oh; Zhongwei Jiang; Henry Panganiban

    2013-01-01

    Embedded system is applied for the development of smart residential fire detection and extinguishing system. Wireless communication capability is integrated into various fire sensors and alarm devices. The system activates the fire alarm to warn occupants, executes emergency and rescue calls to remote residents and fire-fighting facility in an intelligent way. The effective location of extra-sprinklers within the space of interest for the fire extinguishing system is also investigated. Actual...

  1. Intelligent Electricity Broker

    DEFF Research Database (Denmark)

    Grode, Jesper Nicolai Riis; Væggemose, Poul Erik; Kulik, Tomas

    The Intelligent Electricity Broker (IEB) is a new energy storage and energy broker facility that serves two purposes. Firstly, it allows for storing excessive energy in the Smart Grid [1, 2, 3] it is connected to. Secondly, it runs a broker-algorithm that ensures that energy is purchased and sold...... when feasible to the system owner. This paper describes how the IEB can be used by house owners, in building clusters, and/or by energy providers to take advantage of electricity stock market prices and weather forecasts to control energy surplus storage suffers as well as to lower electricity bills...

  2. VOLTTRON™: An Agent Platform for Integrating Electric Vehicles and Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Haack, Jereme N.; Akyol, Bora A.; Tenney, Nathan D.; Carpenter, Brandon J.; Pratt, Richard M.; Carroll, Thomas E.

    2013-12-06

    The VOLTTRON™ platform provides a secure environment for the deployment of intelligent applications in the smart grid. VOLTTRON design is based on the needs of control applications running on small form factor devices, namely security and resource guarantees. Services such as resource discovery, secure agent mobility, and interacting with smart and legacy devices are provided by the platform to ease the development of control applications and accelerate their deployment. VOLTTRON platform has been demonstrated in several different domains that influenced and enhanced its capabilities. This paper will discuss the features of VOLTTRON and highlight its usage to coordinate electric vehicle charging with home energy usage

  3. Energy storage facilities - an intelligent solution for the German market?; Stromspeicher als intelligente Loesung fuer den deutschen Markt?

    Energy Technology Data Exchange (ETDEWEB)

    Einhellig, Ludwig [Deloitte, Muenchen (Germany); Eisfelder, Andreas [Siemens Energy Austral-Andina, Bogota (Colombia). Wind Power, Hydro and Solar

    2012-07-15

    In the beginning of this year the Federal Network Agency (BNetzA) published a benchmark paper on the topic of ''Smart Grid and Smart Market''. In this paper it calls on the professional community to profile the public debate on smart grids and smart markets. Particularly the use of intelligent, decentralised storage technologies could become essential to the integration of renewable energies into the electricity grid over the coming years. This article gives a summary of the most important storage concepts and describes the current perspectives and possible future paths of development.

  4. Application of smart transmitter technology in nuclear engineering measurements

    International Nuclear Information System (INIS)

    Kang, Hyun Gook; Seong, Poong Hyun

    1993-01-01

    By making use of the microprocessor technology, instrumentation system becomes intelligent. In this study a programmable smart transmitter is designed and applied to the nuclear engineering measurements. In order to apply the smart transmitter technology to nuclear engineering measurements, the digital time delay compensation function and water level change detection function are developed and applied in this work. The time compensation function compensates effectively the time delay of the measured signal, but it is found that the characteristics of the compensation function should be considered through its application. It is also found that the water level change detection function reduces the detection time to about 7 seconds by the signal processing which has the time constant of over 250 seconds and which has the heavy noise. (Author)

  5. Incorporating human aspects in ambient intelligence and smart environments

    NARCIS (Netherlands)

    Bosse, T.; Hoogendoorn, M.; Klein, M.C.A.; Lambalgen, R. van; Maanen, P.P. van; Treur, J.

    2011-01-01

    In this chapter, we propose to outline the scientific area that addresses Ambient Intelligence applications in which not only sensor data, but also knowledge from the human-directed sciences such as biomedical science, neuroscience, and psychological and social sciences is incorporated. This

  6. Nature vs. Nurture: The Role of Environmental Resources in Evolutionary Deep Intelligence

    OpenAIRE

    Chung, Audrey G.; Fieguth, Paul; Wong, Alexander

    2018-01-01

    Evolutionary deep intelligence synthesizes highly efficient deep neural networks architectures over successive generations. Inspired by the nature versus nurture debate, we propose a study to examine the role of external factors on the network synthesis process by varying the availability of simulated environmental resources. Experimental results were obtained for networks synthesized via asexual evolutionary synthesis (1-parent) and sexual evolutionary synthesis (2-parent, 3-parent, and 5-pa...

  7. Smart Conformists: Children and Adolescents Associate Conformity With Intelligence Across Cultures.

    Science.gov (United States)

    Wen, Nicole J; Clegg, Jennifer M; Legare, Cristine H

    2017-08-24

    The current study used a novel methodology based on multivocal ethnography to assess the relations between conformity and evaluations of intelligence and good behavior among Western (U.S.) and non-Western (Ni-Vanuatu) children (6- to 11-year-olds) and adolescents (13- to 17-year-olds; N = 256). Previous research has shown that U.S. adults were less likely to endorse high-conformity children as intelligent than Ni-Vanuatu adults. The current data demonstrate that in contrast to prior studies documenting cultural differences between adults' evaluations of conformity, children and adolescents in the United States and Vanuatu have a conformity bias when evaluating peers' intelligence and behavior. Conformity bias for good behavior increases with age. The results have implications for understanding the interplay of conformity bias and trait psychology across cultures and development. © 2017 The Authors. Child Development © 2017 Society for Research in Child Development, Inc.

  8. Intelligent energy systems. A White Paper with Danish perspectives

    Energy Technology Data Exchange (ETDEWEB)

    2010-07-01

    This White Paper is intended as a basis for developing a partnership and a strategy on intelligent energy systems including all stakeholders: businesses, energy companies, research institutions, energy consumers and public authorities. The partnership initiative for intelligent energy systems is initiated by The Danish Energy Industries Federation together with DI ITEK (the Danish ICT and electronics federation for it, telecommunications, electronics and communication enterprises), EC Power A/S, Dong Energy A/S, Danfoss Solutions A/S, Dantherm A/S, Vestas A/S, Siemens A/S, SydEnergi Partner A/S, Technical University of Denmark (DTU), Aalborg University (AAU), the network VE-net and Ea Energy Analyses A/S. The White Paper has been prepared by Ea Energy Analyses with valuable assistance from the project participants. The proposed partnership initiative is presented in the first section: 'Strategy and partnership for intelligent energy'. The remaining chapters 1-9 of the report constitute the White Paper. Chapters 1 and 2 introduce the energy system, chapter 3 discusses the markets for energy and reserves, and chapter 4 covers some of the new active elements in the system - consumers and storage. Key technologies and solutions of the intelligent energy system are outlined in chapter 5, and chapter 6 describes the strategies for smart grids pursued by the EU, the International Energy Agency and the USA. Selected Danish research, development and demonstration projects related to demand management and other smart grid solutions are briefly described in chapter 7, and chapter 8 outlines current Danish policy and initiatives working towards the intelligent energy system. A list of references is given in chapter 6, and appendix 1 contains a preliminary list of potential members of the partnership. (LN)

  9. Intelligent energy systems. A White Paper with Danish perspectives

    Energy Technology Data Exchange (ETDEWEB)

    2010-07-01

    This White Paper is intended as a basis for developing a partnership and a strategy on intelligent energy systems including all stakeholders: businesses, energy companies, research institutions, energy consumers and public authorities. The partnership initiative for intelligent energy systems is initiated by The Danish Energy Industries Federation together with DI ITEK (the Danish ICT and electronics federation for it, telecommunications, electronics and communication enterprises), EC Power A/S, Dong Energy A/S, Danfoss Solutions A/S, Dantherm A/S, Vestas A/S, Siemens A/S, SydEnergi Partner A/S, Technical University of Denmark (DTU), Aalborg University (AAU), the network VE-net and Ea Energy Analyses A/S. The White Paper has been prepared by Ea Energy Analyses with valuable assistance from the project participants. The proposed partnership initiative is presented in the first section: 'Strategy and partnership for intelligent energy'. The remaining chapters 1-9 of the report constitute the White Paper. Chapters 1 and 2 introduce the energy system, chapter 3 discusses the markets for energy and reserves, and chapter 4 covers some of the new active elements in the system - consumers and storage. Key technologies and solutions of the intelligent energy system are outlined in chapter 5, and chapter 6 describes the strategies for smart grids pursued by the EU, the International Energy Agency and the USA. Selected Danish research, development and demonstration projects related to demand management and other smart grid solutions are briefly described in chapter 7, and chapter 8 outlines current Danish policy and initiatives working towards the intelligent energy system. A list of references is given in chapter 6, and appendix 1 contains a preliminary list of potential members of the partnership. (LN)

  10. Intelligence: Real or artificial?

    OpenAIRE

    Schlinger, Henry D.

    1992-01-01

    Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally r...

  11. Practical Approach of the PEST Analysis from the Perspective of the Territorial Intelligence

    Directory of Open Access Journals (Sweden)

    Alexandru Bîrsan

    2016-01-01

    Digging deeper in the Knowledge Economy, we propose as the subject of this paper and as apart of our research, a theoretical approach in assessing and analyzing a region from theperspective of both territorial intelligence and smart developing.

  12. Research of a smart cutting tool based on MEMS strain gauge

    Science.gov (United States)

    Zhao, Y.; Zhao, Y. L.; Shao, YW; Hu, T. J.; Zhang, Q.; Ge, X. H.

    2018-03-01

    Cutting force is an important factor that affects machining accuracy, cutting vibration and tool wear. Machining condition monitoring by cutting force measurement is a key technology for intelligent manufacture. Current cutting force sensors exist problems of large volume, complex structure and poor compatibility in practical application, for these problems, a smart cutting tool is proposed in this paper for cutting force measurement. Commercial MEMS (Micro-Electro-Mechanical System) strain gauges with high sensitivity and small size are adopted as transducing element of the smart tool, and a structure optimized cutting tool is fabricated for MEMS strain gauge bonding. Static calibration results show that the developed smart cutting tool is able to measure cutting forces in both X and Y directions, and the cross-interference error is within 3%. Its general accuracy is 3.35% and 3.27% in X and Y directions, and sensitivity is 0.1 mV/N, which is very suitable for measuring small cutting forces in high speed and precision machining. The smart cutting tool is portable and reliable for practical application in CNC machine tool.

  13. Towards smart mobility in urban spaces: Bus tracking and information application

    Science.gov (United States)

    Yue, Wong Seng; Chye, Koh Keng; Hoy, Cheong Wan

    2017-10-01

    Smart city can be defined as an urban space with complete and advanced infrastructure, intelligent networks and platforms, with millions of sensors among which people themselves and their mobile devices. Urban mobility is one of the global smart city project which offers traffic management in real-time, management of passenger transport means, tracking applications and logistics, car sharing services, car park management and more smart mobility services. Due to the frustrated waiting time for the arrival of buses and the difficulty of accessing shuttle bus-related information in a one-stop centre, bus tracking and information application (BTA) is one the proposed solutions to solve the traffic problems in urban spaces. This paper is aimed to design and develop a bus tracking and information application in a selected city in Selangor state, Malaysia. Next, this application also provides an alternative to design public transport tracking and information application for the urban places in Malaysia. Furthermore, the application also provides a smart solution for the management of public infrastructures and urban facilities in Malaysia in future.

  14. Power system SCADA and smart grids

    CERN Document Server

    Thomas, Mini S

    2015-01-01

    Power System SCADA and Smart Grids brings together in one concise volume the fundamentals and possible application functions of power system supervisory control and data acquisition (SCADA). The text begins by providing an overview of SCADA systems, evolution, and use in power systems and the data acquisition process. It then describes the components of SCADA systems, from the legacy remote terminal units (RTUs) to the latest intelligent electronic devices (IEDs), data concentrators, and master stations, as well as:Examines the building and practical implementation of different SCADA systemsOf

  15. Net smart how to thrive online

    CERN Document Server

    Rheingold, Howard

    2014-01-01

    Like it or not, knowing how to make use of online tools without being overloaded with too much information is an essential ingredient to personal success in the twenty-first century. But how can we use digital media so that they make us empowered participants rather than passive receivers, grounded, well-rounded people rather than multitasking basket cases? In Net Smart, cyberculture expert Howard Rheingold shows us how to use social media intelligently, humanely, and, above all, mindfully. Mindful use of digital media means thinking about what we are doing, cultivating an ongoing inner inquiry into how we want to spend our time. Rheingold outlines five fundamental digital literacies, online skills that will help us do this: attention, participation, collaboration, critical consumption of information (or "crap detection"), and network smarts. He explains how attention works, and how we can use our attention to focus on the tiny relevant portion of the incoming tsunami of information. He describes the quality...

  16. Natural Inspired Intelligent Visual Computing and Its Application to Viticulture.

    Science.gov (United States)

    Ang, Li Minn; Seng, Kah Phooi; Ge, Feng Lu

    2017-05-23

    This paper presents an investigation of natural inspired intelligent computing and its corresponding application towards visual information processing systems for viticulture. The paper has three contributions: (1) a review of visual information processing applications for viticulture; (2) the development of natural inspired computing algorithms based on artificial immune system (AIS) techniques for grape berry detection; and (3) the application of the developed algorithms towards real-world grape berry images captured in natural conditions from vineyards in Australia. The AIS algorithms in (2) were developed based on a nature-inspired clonal selection algorithm (CSA) which is able to detect the arcs in the berry images with precision, based on a fitness model. The arcs detected are then extended to perform the multiple arcs and ring detectors information processing for the berry detection application. The performance of the developed algorithms were compared with traditional image processing algorithms like the circular Hough transform (CHT) and other well-known circle detection methods. The proposed AIS approach gave a Fscore of 0.71 compared with Fscores of 0.28 and 0.30 for the CHT and a parameter-free circle detection technique (RPCD) respectively.

  17. Development of smart infocommunication networks for intellectual municipal services

    OpenAIRE

    Kuzminykh, Ievgeniia; Kabali, Stephen

    2015-01-01

    Abstract:This paper represents the smart system that bypasses the normal functioning algorithm of traffic lights, triggers a green light when the lights are red or to reset the timer of the traffic lights when they are about to turn red. Different pieces of hardware like microcontroller units, transceivers, resistors, diode, LEDs, digital compass and accelerometer will be coupled together and programmed to create a unified complex intelligent system.

  18. Smart Grid: Smart Customer Policy Needs

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-01

    In September 2010, the International Energy Agency (IEA) held a workshop on the regulatory, market and consumer policies necessary to ensure that smart grids are deployed with adequate consideration of their risks and benefits to all stakeholders. This was one of several workshops that brought together energy providers, network operators, technology developers, regulators, customers and government policy makers to discuss smart grid technology and policy. The Smart Grid - Smart Customer Policies workshop allowed stakeholders to: gain a perspective on key issues and barriers facing early deployment of smart grids; hear expert opinion on regulatory, consumer and market challenges to smart grids; discuss smart grid-smart customer policy priorities; and build consensus on the technology and policy ingredients needed for customer-friendly smart grid deployments. Drawing on workshop discussions, the following paper lays out a logical framework to maximise the benefits and minimise the risks that smart grids pose for customers. The paper also describes key policy research questions that will guide future IEA research on this topic.

  19. A smart mobile pouch as a biomechanical energy harvester towards self-powered smart wireless power transfer applications.

    Science.gov (United States)

    Chandrasekhar, Arunkumar; Alluri, Nagamalleswara Rao; Sudhakaran, M S P; Mok, Young Sun; Kim, Sang-Jae

    2017-07-20

    A Smart Mobile Pouch Triboelectric Nanogenerator (SMP-TENG) is introduced as a promising eco-friendly approach for scavenging biomechanical energy for powering next generation intelligent devices and smart phones. This is a cost-effective and robust method for harvesting energy from human motion, by utilizing worn fabrics as a contact material. The SMP-TENG is capable of harvesting energy in two operational modes: lateral sliding and vertical contact and separation. Moreover, the SMP-TENG can also act as a self-powered emergency flashlight and self-powered pedometer during normal human motion. A wireless power transmission setup integrated with SMP-TENG is demonstrated. This upgrades the traditional energy harvesting device into a self-powered wireless power transfer SMP-TENG. The wirelessly transferred power can be used to charge a Li-ion battery and light LEDs. The SMP-TENG opens a wide range of opportunities in the field of self-powered devices and low maintenance energy harvesting systems for portable and wearable electronic gadgets.

  20. Forecasting the natural gas demand in China using a self-adapting intelligent grey model

    International Nuclear Information System (INIS)

    Zeng, Bo; Li, Chuan

    2016-01-01

    Reasonably forecasting demands of natural gas in China is of significance as it could aid Chinese government in formulating energy policies and adjusting industrial structures. To this end, a self-adapting intelligent grey prediction model is proposed in this paper. Compared with conventional grey models which have the inherent drawbacks of fixed structure and poor adaptability, the proposed new model can automatically optimize model parameters according to the real data characteristics of modeling sequence. In this study, the proposed new model, discrete grey model, even difference grey model and classical grey model were employed, respectively, to simulate China's natural gas demands during 2002–2010 and forecast demands during 2011–2014. The results show the new model has the best simulative and predictive precision. Finally, the new model is used to forecast China's natural gas demand during 2015–2020. The forecast shows the demand will grow rapidly over the next six years. Therefore, in order to maintain the balance between the supplies and the demands for the natural gas in the future, Chinese government needs to take some measures, such as importing huge amounts of natural gas from abroad, increasing the domestic yield, using more alternative energy, and reducing the industrial reliance on natural gas. - Highlights: • A self-adapting intelligent grey prediction model (SIGM) is proposed in this paper. • The SIGM has the advantage of working with exponential functions and linear functions. • The SIGM solves the drawbacks of fixed structure and poor adaptability of grey models. • The demand of natural gas in China is successfully forecasted using the SIGM model. • The study findings can help Chinese government reasonably formulate energy policies.

  1. Hiring for smarts.

    Science.gov (United States)

    Menkes, Justin

    2005-11-01

    Yes, it's nice when a leader is charismatic and confident. And a great resume can tell you a lot about a person's knowledge and experience. But such assets are no substitute for sheer business intelligence, and they reveal very little about a leader's ability to consistently reach the "right" answer. How can hiring managers flag individuals with such smarts? Historically, the only reliable measure of brainpower has been the standard IQ test, which is rarely used in business settings because of the specific subjects it tests for-math, reading, and spatial reasoning-and because of its multiple-choice format. Despite its shortcomings, the standard IQ test is still a better predictor of managerial success than any other assessment tool companies currently use, Justin Menkes argues. It's true that there isn't a version of IQ testing that applies to the corporate world, but in rejecting IQ tests altogether, hiring managers have thwarted their own attempts to identify true business stars. The author defines the specific subjects that make up "executive intelligence"-namely, accomplishing tasks, working with people, and judging oneself. He describes how to formulate questions to test job candidates for their mastery of these subjects, offering several examples based on real situations. Knowledge questions, such as those used in standard behavioral interviews, require people to recite what they have learned or experienced; intelligence questions call for individuals to demonstrate their abilities. Therefore, the questions in an executive intelligence test shouldn't require specific industry expertise or experience; any knowledge they call for must be rudimentary and common to all executives. And the questions should not be designed to ask whether the candidate has a particular skill; they should be configured so that the candidate will have to demonstrate that skill in the course of answering them.

  2. Profit Analysis Model of Smart Item Implementation in Integrated Supply Chain Process

    Science.gov (United States)

    Tritularsih, Yustina; Rinanto, Andhy; Prasetyo, Hoedi; Nur Rosyidi, Cucuk

    2018-03-01

    Nowadays all links of the entire supply chain need to integrate their different infrastructures and they have better control of them to drive better profits. This integration should offer the ability for companies in order to have an overall and transparent insight to its supply chain activities. An intelligent supply chain which is mainly supported by Smart Items technology can satisfy the need of those integration. By means of Smart Items, a company can benefit some advantages. Those are cost reduction and value creation. However, currently there is no comprehensive Smart Item infrastructure exists yet so it is difficult to calculate the true benefit information. This paper attempts to recommend a model for estimating the benefits of implementing Smart Items in a company which has an integrated supply chain process. The integrated supply chain means that three echelons (supplier, shipper and retailer) of supply chain are belonged to a company. The proposed model was used to determine the shrinkage value and RFID tag price which can give the maximum benefit of Smart Items implementation. A numerical example is also provided to give a better comprehension on model calculation.

  3. Intelligent Propulsion System Foundation Technology: Summary of Research

    Science.gov (United States)

    2008-01-01

    The purpose of this cooperative agreement was to develop a foundation of intelligent propulsion technologies for NASA and industry that will have an impact on safety, noise, emissions, and cost. These intelligent engine technologies included sensors, electronics, communications, control logic, actuators, smart materials and structures, and system studies. Furthermore, this cooperative agreement helped prepare future graduates to develop the revolutionary intelligent propulsion technologies that will be needed to ensure pre-eminence of the U.S. aerospace industry. This Propulsion 21 - Phase 11 program consisted of four primary research areas and associated work elements at Ohio universities: 1.0 Turbine Engine Prognostics, 2.0 Active Controls for Emissions and Noise Reduction, 3.0 Active Structural Controls and Performance, and 4.0 System Studies and Integration. Phase l, which was conducted during the period August 1, 2003, through September 30, 2004, has been reported separately.

  4. Artificial Intelligence.

    Science.gov (United States)

    Wash, Darrel Patrick

    1989-01-01

    Making a machine seem intelligent is not easy. As a consequence, demand has been rising for computer professionals skilled in artificial intelligence and is likely to continue to go up. These workers develop expert systems and solve the mysteries of machine vision, natural language processing, and neural networks. (Editor)

  5. Smart-Grid Backbone Network Real-Time Delay Reduction via Integer Programming.

    Science.gov (United States)

    Pagadrai, Sasikanth; Yilmaz, Muhittin; Valluri, Pratyush

    2016-08-01

    This research investigates an optimal delay-based virtual topology design using integer linear programming (ILP), which is applied to the current backbone networks such as smart-grid real-time communication systems. A network traffic matrix is applied and the corresponding virtual topology problem is solved using the ILP formulations that include a network delay-dependent objective function and lightpath routing, wavelength assignment, wavelength continuity, flow routing, and traffic loss constraints. The proposed optimization approach provides an efficient deterministic integration of intelligent sensing and decision making, and network learning features for superior smart grid operations by adaptively responding the time-varying network traffic data as well as operational constraints to maintain optimal virtual topologies. A representative optical backbone network has been utilized to demonstrate the proposed optimization framework whose simulation results indicate that superior smart-grid network performance can be achieved using commercial networks and integer programming.

  6. Security in Intelligent Transport Systems for Smart Cities: From Theory to Practice

    Science.gov (United States)

    Javed, Muhammad Awais; Ben Hamida, Elyes; Znaidi, Wassim

    2016-01-01

    Connecting vehicles securely and reliably is pivotal to the implementation of next generation ITS applications of smart cities. With continuously growing security threats, vehicles could be exposed to a number of service attacks that could put their safety at stake. To address this concern, both US and European ITS standards have selected Elliptic Curve Cryptography (ECC) algorithms to secure vehicular communications. However, there is still a lack of benchmarking studies on existing security standards in real-world settings. In this paper, we first analyze the security architecture of the ETSI ITS standard. We then implement the ECC based digital signature and encryption procedures using an experimental test-bed and conduct an extensive benchmark study to assess their performance which depends on factors such as payload size, processor speed and security levels. Using network simulation models, we further evaluate the impact of standard compliant security procedures in dense and realistic smart cities scenarios. Obtained results suggest that existing security solutions directly impact the achieved quality of service (QoS) and safety awareness of vehicular applications, in terms of increased packet inter-arrival delays, packet and cryptographic losses, and reduced safety awareness in safety applications. Finally, we summarize the insights gained from the simulation results and discuss open research challenges for efficient working of security in ITS applications of smart cities. PMID:27314358

  7. Security in Intelligent Transport Systems for Smart Cities: From Theory to Practice

    Directory of Open Access Journals (Sweden)

    Muhammad Awais Javed

    2016-06-01

    Full Text Available Connecting vehicles securely and reliably is pivotal to the implementation of next generation ITS applications of smart cities. With continuously growing security threats, vehicles could be exposed to a number of service attacks that could put their safety at stake. To address this concern, both US and European ITS standards have selected Elliptic Curve Cryptography (ECC algorithms to secure vehicular communications. However, there is still a lack of benchmarking studies on existing security standards in real-world settings. In this paper, we first analyze the security architecture of the ETSI ITS standard. We then implement the ECC based digital signature and encryption procedures using an experimental test-bed and conduct an extensive benchmark study to assess their performance which depends on factors such as payload size, processor speed and security levels. Using network simulation models, we further evaluate the impact of standard compliant security procedures in dense and realistic smart cities scenarios. Obtained results suggest that existing security solutions directly impact the achieved quality of service (QoS and safety awareness of vehicular applications, in terms of increased packet inter-arrival delays, packet and cryptographic losses, and reduced safety awareness in safety applications. Finally, we summarize the insights gained from the simulation results and discuss open research challenges for efficient working of security in ITS applications of smart cities.

  8. Security in Intelligent Transport Systems for Smart Cities: From Theory to Practice.

    Science.gov (United States)

    Javed, Muhammad Awais; Ben Hamida, Elyes; Znaidi, Wassim

    2016-06-15

    Connecting vehicles securely and reliably is pivotal to the implementation of next generation ITS applications of smart cities. With continuously growing security threats, vehicles could be exposed to a number of service attacks that could put their safety at stake. To address this concern, both US and European ITS standards have selected Elliptic Curve Cryptography (ECC) algorithms to secure vehicular communications. However, there is still a lack of benchmarking studies on existing security standards in real-world settings. In this paper, we first analyze the security architecture of the ETSI ITS standard. We then implement the ECC based digital signature and encryption procedures using an experimental test-bed and conduct an extensive benchmark study to assess their performance which depends on factors such as payload size, processor speed and security levels. Using network simulation models, we further evaluate the impact of standard compliant security procedures in dense and realistic smart cities scenarios. Obtained results suggest that existing security solutions directly impact the achieved quality of service (QoS) and safety awareness of vehicular applications, in terms of increased packet inter-arrival delays, packet and cryptographic losses, and reduced safety awareness in safety applications. Finally, we summarize the insights gained from the simulation results and discuss open research challenges for efficient working of security in ITS applications of smart cities.

  9. Desain Protokol Suara Sebagai Pengendali Dalam Smart Home Menggunakan FPGA

    Directory of Open Access Journals (Sweden)

    Barlian Henryranu Prasetio

    2017-05-01

    Smart home is a system that uses computers and information technology to control home-like equipment such as windows and lights. The system can be a simple control system to a complex system. Computer / microcontroller based on internet/ethernet network equipped with intelligent system and automation system so as to make home to work automatically. Many computer devices / microcontrollers that can be implemented as a controller in the smart home. Smart home control system in this study using Xilinx xpartan-3e that controls the equipment in the house through LAN (Local Area Networking. This control system communicates using broadcast voice on the local network. The Controller System is designed to be able to transmit a voice signal packet from the microphone input and then send it using the ethernet protocol in the home local network using the FPGA. The FPGA is programmed to transmit and encode data packets, converting digital data into analog data to be able to control the equipment in the home. From the simulation test results using ISIM, it is seen that the system works in realtime. Keywords: smart home, voice, fpga, control

  10. Development of traffic light control algorithm in smart municipal network

    OpenAIRE

    Kuzminykh, Ievgeniia

    2016-01-01

    This paper presents smart system that bypasses the normal functioning algorithm of traffic lights, triggers a green light when the lights are red or reset the timer of the traffic lights when they are about to turn red. Different pieces of hardware like microcontroller units, transceivers, resistors, diodes, LEDs, a digital compass and accelerometer will be coupled together and programed to create unified complex intelligent system.

  11. SmartWeld/SmartProcess - intelligent model based system for the design and validation of welding processes

    Energy Technology Data Exchange (ETDEWEB)

    Mitchner, J.

    1996-04-01

    Diagrams are presented on an intelligent model based system for the design and validation of welding processes. Key capabilities identified include `right the first time` manufacturing, continuous improvement, and on-line quality assurance.

  12. SmartGrid: Future networks for New Zealand power systems incorporating distributed generation

    International Nuclear Information System (INIS)

    Nair, Nirmal-Kumar C.; Zhang Lixi

    2009-01-01

    The concept of intelligent electricity grids, which primarily involves the integration of new information and communication technologies with power transmission lines and distribution cables, is being actively explored in the European Union and the United States. Both developments share common technological developmental goals but also differ distinctly towards the role of distributed generation for their future electrical energy security. This paper looks at options that could find relevance to New Zealand (NZ), in the context of its aspiration of achieving 90% renewable energy electricity generation portfolio by 2025. It also identifies developments in technical standardization and industry investments that facilitate a pathway towards an intelligent or smart grid development for NZ. Some areas where policy can support research in NZ being a 'fast adapter' to future grid development are also listed. This paper will help policy makers quickly review developments surrounding SmartGrid and also identify its potential to support NZ Energy Strategy in the electricity infrastructure. This paper will also help researchers and power system stakeholders for identifying international standardization, projects and potential partners in the area of future grid technologies.

  13. Street Smart: Intelligence Preparation of the Battlefield for Urban Operations

    National Research Council Canada - National Science Library

    Medby, Jamison

    2002-01-01

    .... The armed forces of the United States have long understood these prescriptions and have amassed an array of technologies, techniques, analytic methods, and talented personnel to ensure intelligence superiority...

  14. The Smart Home for the Elderly: Perceptions, Technologies and Psychological Accessibilities : The Requirements Analysis for the Elderly in Thailand

    OpenAIRE

    Visutsak , Porawat; DAOUDI , Mohamed

    2017-01-01

    International audience; Various studies of assistive technology, embedded into the house for helping elderly persons have been introduced. There are many terms used to call this assistive technology, such as smart home, intelligent home, and home networking. The current technologies for smart home system can be divided into two basic categories: passive-intervention devices and active-intervention devices. Passive-intervention devices monitor an elderly person's condition and safety without i...

  15. Nano-clays from natural and modified montmorillonite with and without added blueberry extract for active and intelligent food nanopackaging materials

    Energy Technology Data Exchange (ETDEWEB)

    Gutiérrez, Tomy J., E-mail: tomy.gutierrez@ciens.ucv.ve [Departamento Químico Analítico, Facultad de Farmacia, Universidad Central de Venezuela, Apartado 40109, Caracas, 1040-A (Venezuela, Bolivarian Republic of); Instituto de Ciencia y Tecnología de Alimentos, Facultad de Ciencias, Universidad Central de Venezuela, Apartado 47097, Caracas, 1041-A (Venezuela, Bolivarian Republic of); Grupo de Materiales Compuestos Termoplásticos (CoMP), Instituto de Investigaciones en Ciencia y Tecnología de Materiales (INTEMA), Facultad de Ingeniería, Universidad Nacional de Mar del Plata UNMdP y Consejo Nacional de Investigaciones Científicas y Técnicas - CONICET, Colón 10850, B7608FLC, Mar del Plata (Argentina); Ponce, Alejandra G. [Grupo de Investigación en Ingeniería en Alimentos, Facultad de Ingeniería, Universidad Nacional de Mar del Plata (UNMdP), Juan B. Justo 4302, 7600, Mar del Plata (Argentina); Alvarez, Vera A. [Grupo de Materiales Compuestos Termoplásticos (CoMP), Instituto de Investigaciones en Ciencia y Tecnología de Materiales (INTEMA), Facultad de Ingeniería, Universidad Nacional de Mar del Plata UNMdP y Consejo Nacional de Investigaciones Científicas y Técnicas - CONICET, Colón 10850, B7608FLC, Mar del Plata (Argentina)

    2017-06-15

    The aim of this study was to evaluate the potential of nano-clays as active and intelligent (A&I) food nanopackaging materials. Nanopackaging is a structured system that allows the storage of certain compounds in a stable form. Nano-clays were prepared from natural and modified montmorillonite (Mnt) with and without added blueberry extract, and characterized in terms of their: X-ray diffraction (XRD) patterns, thermogravimetric (TGA) properties, microstructure, moisture content, water activity (a{sub w}), infrared spectra (FTIR), Raman spectra, color parameters, response to pH changes, and antioxidant and antimicrobial activity. Mnt prepared with added blueberry extract showed antioxidant activity and intelligent behavior under different pH conditions. Modifying the Mnt increased the interlayer spacing, thus allowing more blueberry extract to be incorporated within the system. In conclusion, natural and modified Mnt are eco-friendly resources with potential applications for nano-packaging. The addition of blueberry extract imparted intelligent properties to the nano-clays as regards their responses to changes in pH. - Highlights: • Food nano-packaging were obtained from natural and modified montmorillonite (Mnt). • XRD, TGA and FTIR results suggests the blueberry extract nano-packaging. • Intelligent nanocomposites were obtained. • Greater interlayer spacing of the nano-Mnt allows greater nano-packaging.

  16. Nano-clays from natural and modified montmorillonite with and without added blueberry extract for active and intelligent food nanopackaging materials

    International Nuclear Information System (INIS)

    Gutiérrez, Tomy J.; Ponce, Alejandra G.; Alvarez, Vera A.

    2017-01-01

    The aim of this study was to evaluate the potential of nano-clays as active and intelligent (A&I) food nanopackaging materials. Nanopackaging is a structured system that allows the storage of certain compounds in a stable form. Nano-clays were prepared from natural and modified montmorillonite (Mnt) with and without added blueberry extract, and characterized in terms of their: X-ray diffraction (XRD) patterns, thermogravimetric (TGA) properties, microstructure, moisture content, water activity (a_w), infrared spectra (FTIR), Raman spectra, color parameters, response to pH changes, and antioxidant and antimicrobial activity. Mnt prepared with added blueberry extract showed antioxidant activity and intelligent behavior under different pH conditions. Modifying the Mnt increased the interlayer spacing, thus allowing more blueberry extract to be incorporated within the system. In conclusion, natural and modified Mnt are eco-friendly resources with potential applications for nano-packaging. The addition of blueberry extract imparted intelligent properties to the nano-clays as regards their responses to changes in pH. - Highlights: • Food nano-packaging were obtained from natural and modified montmorillonite (Mnt). • XRD, TGA and FTIR results suggests the blueberry extract nano-packaging. • Intelligent nanocomposites were obtained. • Greater interlayer spacing of the nano-Mnt allows greater nano-packaging.

  17. The smart Peano fluidic muscle: a low profile flexible orthosis actuator that feels pain

    Science.gov (United States)

    Veale, Allan J.; Anderson, Iain A.; Xie, Shane Q.

    2015-03-01

    Robotic orthoses have the potential to provide effective rehabilitation while overcoming the availability and cost constraints of therapists. These orthoses must be characterized by the naturally safe, reliable, and controlled motion of a human therapist's muscles. Such characteristics are only possible in the natural kingdom through the pain sensing realized by the interaction of an intelligent nervous system and muscles' embedded sensing organs. McKibben fluidic muscles or pneumatic muscle actuators (PMAs) are a popular orthosis actuator because of their inherent compliance, high force, and muscle-like load-displacement characteristics. However, the circular cross-section of PMA increases their profile. PMA are also notoriously unreliable and difficult to control, lacking the intelligent pain sensing systems of their biological muscle counterparts. Here the Peano fluidic muscle, a new low profile yet high-force soft actuator is introduced. This muscle is smart, featuring bioinspired embedded pressure and soft capacitive strain sensors. Given this pressure and strain feedback, experimental validation shows that a lumped parameter model based on the muscle geometry and material parameters can be used to predict its force for quasistatic motion with an average error of 10 - 15N. Combining this with a force threshold pain sensing algorithm sets a precedent for flexible orthosis actuation that uses embedded sensors to prevent damage to the actuator and its environment.

  18. Front-End Intelligence for Large-Scale Application-Oriented Internet-of-Things

    KAUST Repository

    Bader, Ahmed; Ghazzai, Hakim; Kadri, Abdullah; Alouini, Mohamed-Slim

    2016-01-01

    The Internet-of-things (IoT) refers to the massive integration of electronic devices, vehicles, buildings, and other objects to collect and exchange data. It is the enabling technology for a plethora of applications touching various aspects of our lives such as healthcare, wearables, surveillance, home automation, smart manufacturing, and intelligent automotive systems. Existing IoT architectures are highly centralized and heavily rely on a back-end core network for all decision-making processes. This may lead to inefficiencies in terms of latency, network traffic management, computational processing, and power consumption. In this paper, we advocate the empowerment of front-end IoT devices to support the back-end network in fulfilling end-user applications requirements mainly by means of improved connectivity and efficient network management. A novel conceptual framework is presented for a new generation of IoT devices that will enable multiple new features for both the IoT administrators as well as end users. Exploiting the recent emergence of software-defined architecture, these smart IoT devices will allow fast, reliable, and intelligent management of diverse IoT-based applications. After highlighting relevant shortcomings of the existing IoT architectures, we outline some key design perspectives to enable front-end intelligence while shedding light on promising future research directions.

  19. Front-End Intelligence for Large-Scale Application-Oriented Internet-of-Things

    KAUST Repository

    Bader, Ahmed

    2016-06-14

    The Internet-of-things (IoT) refers to the massive integration of electronic devices, vehicles, buildings, and other objects to collect and exchange data. It is the enabling technology for a plethora of applications touching various aspects of our lives such as healthcare, wearables, surveillance, home automation, smart manufacturing, and intelligent automotive systems. Existing IoT architectures are highly centralized and heavily rely on a back-end core network for all decision-making processes. This may lead to inefficiencies in terms of latency, network traffic management, computational processing, and power consumption. In this paper, we advocate the empowerment of front-end IoT devices to support the back-end network in fulfilling end-user applications requirements mainly by means of improved connectivity and efficient network management. A novel conceptual framework is presented for a new generation of IoT devices that will enable multiple new features for both the IoT administrators as well as end users. Exploiting the recent emergence of software-defined architecture, these smart IoT devices will allow fast, reliable, and intelligent management of diverse IoT-based applications. After highlighting relevant shortcomings of the existing IoT architectures, we outline some key design perspectives to enable front-end intelligence while shedding light on promising future research directions.

  20. Authentication Method for Privacy Protection in Smart Grid Environment

    Directory of Open Access Journals (Sweden)

    Do-Eun Cho

    2014-01-01

    Full Text Available Recently, the interest in green energy is increasing as a means to resolve problems including the exhaustion of the energy source and, effective management of energy through the convergence of various fields. Therefore, the projects of smart grid which is called intelligent electrical grid for the accomplishment of low carbon green growth are being carried out in a rush. However, as the IT is centered upon the electrical grid, the shortage of IT also appears in smart grid and the complexity of convergence is aggravating the problem. Also, various personal information and payment information within the smart grid are gradually becoming big data and target for external invasion and attack; thus, there is increase in concerns for this matter. The purpose of this study is to analyze the security vulnerabilities and security requirement within smart grid and the authentication and access control method for privacy protection within home network. Therefore, we propose a secure access authentication and remote control method for user’s home device within home network environment, and we present their security analysis. The proposed access authentication method blocks the unauthorized external access and enables secure remote access to home network and its devices with a secure message authentication protocol.

  1. Towards the internet of agents: an analysis of the internet of things from the intelligence and autonomy perspective

    Directory of Open Access Journals (Sweden)

    Pablo Antonio Pico Valencia

    2018-01-01

    Full Text Available Recently, the scientific community has demonstrated a special interest in the process related to the integration of the agent-oriented technology with Internet of Things (IoT platforms. Then, it arises a novel approach named Internet of Agents (IoA as an alternative to add an intelligence and autonomy component for IoT devices and networks. This paper presents an analysis of the main benefits derived from the use of the IoA approach, based on a practical point of view regarding the necessities that humans demand in their daily life and work, which can be solved by IoT networks modeled as IoA infrastructures. It has been presented 24 study cases of the IoA approach at different domains ––smart industry, smart city and smart health wellbeing–– in order to define the scope of these proposals in terms of intelligence and autonomy in contrast to their corresponding generic IoT applications.

  2. ThinkHome Energy Efficiency in Future Smart Homes

    Directory of Open Access Journals (Sweden)

    Reinisch Christian

    2011-01-01

    Full Text Available Abstract Smart homes have been viewed with increasing interest by both home owners and the research community in the past few years. One reason for this development is that the use of modern automation technology in the home or building promises considerable savings of energy, therefore, simultaneously reducing the operational costs of the building over its whole lifecycle. However, the full potential of smart homes still lies fallow, due to the complexity and diversity of the systems, badly engineered and configured installations, as well as the frequent problem of suboptimal control strategies. Summarized, these problems converge to two undesirable conditions in the "not-so-smart" home: energy consumption is still higher than actually necessary and users are unable to yield full comfort in their automated homes. This work puts its focus on alleviating the current problems by proposing a comprehensive system concept, that shall ensure that smart homes can keep their promise in the future. The system operates on an extensive knowledge base that stores all information needed to fulfill the goals of energy efficiency and user comfort. Its intelligence is implemented as and within a multiagent system that also caters for the system's openness to the outside world. As a first evaluation, a profile-based control strategy for thermal comfort is developed and verified by means of simulation.

  3. A Study of Smart Power Control Algorithm Using RF Communication in Smart Home Environment

    OpenAIRE

    Su-hong Shin; Kyoung-hwa Do; Byoung-soo Koh

    2013-01-01

    Today’s technologies in the IT area face the era of combination and convergence of technologies in many different areas. Through the natural interaction between people and devices in the environment where various kinds of devices are connected over a single network, they have been developing from human-oriented service technologies to smart and futuristic home technologies. Smart home technology is one of them. It is a technology of establishing a digital home in which various kinds of home a...

  4. Smart grid

    International Nuclear Information System (INIS)

    Choi, Dong Bae

    2001-11-01

    This book describes press smart grid from basics to recent trend. It is divided into ten chapters, which deals with smart grid as green revolution in energy with introduction, history, the fields, application and needed technique for smart grid, Trend of smart grid in foreign such as a model business of smart grid in foreign, policy for smart grid in U.S.A, Trend of smart grid in domestic with international standard of smart grid and strategy and rood map, smart power grid as infrastructure of smart business with EMS development, SAS, SCADA, DAS and PQMS, smart grid for smart consumer, smart renewable like Desertec project, convergence IT with network and PLC, application of an electric car, smart electro service for realtime of electrical pricing system, arrangement of smart grid.

  5. Advanced solutions in power systems HVDC, facts, and artificial intelligence

    CERN Document Server

    Liu, Chen-Ching; Edris, Abdel-Aty

    2016-01-01

    Provides insight on both classical means and new trends in the application of power electronic and artificial intelligence techniques in power system operation and control This book presents advanced solutions for power system controllability improvement, transmission capability enhancement and operation planning. The book is organized into three parts. The first part describes the CSC-HVDC and VSC-HVDC technologies, the second part presents the FACTS devices, and the third part refers to the artificial intelligence techniques. All technologies and tools approached in this book are essential for power system development to comply with the smart grid requirements.

  6. Smart mobility in smart cities

    Energy Technology Data Exchange (ETDEWEB)

    Baucells, Aleta N.

    2016-07-01

    Cities are currently undergoing a transformation into the Smart concept, like Smartphones or SmartTV. Many initiatives are being developed in the framework of the Smart Cities projects, however, there is a lack of consistent indicators and methodologies to assess, finance, prioritize and implement this kind of projects. Smart Cities projects are classified according to six axes: Government, Mobility, Environment, Economy, People and Living. (Giffinger, 2007). The main objective of this research is to develop an evaluation model in relation to the mobility concept as one of the six axes of the Smart City classification and apply it to the Spanish cities. The evaluation was carried out in the 62 cities that made up in September 2015 the Spanish Network of Smart Cities (RECI- Red Española de Ciudades Inteligentes). This research is part of a larger project about Smart Cities’ evaluation (+CITIES), the project evaluates RECI’s cities in all the axes. The analysis was carried out taking into account sociodemographic indicators such as the size of the city or the municipal budget per inhabitant. The mobility’s evaluation in those cities has been focused in: sustainability mobility urban plans and measures to reduce the number of vehicles. The 62 cities from the RECI have been evaluated according to their degree of progress in several Smart Cities’ initiatives related to smart mobility. The applied methodology has been specifically made for this project. The grading scale has different ranks depending on the deployment level of smart cities’ initiatives. (Author)

  7. IOT Based Smart Public Transport System

    Directory of Open Access Journals (Sweden)

    Parag Gawade

    2017-07-01

    Full Text Available Internet of Things IoT joins the objects of this present reality to the virtual world and empowers at whatever time anyplace network for anything that has a turn ON and turn OFF switch. It constitutes to a world where physical things and humans and other living things and virtual information and situations collaborate with each other. Substantial measure of information is created as expansive number of gadgets is associated with the web. So this expansive measure of information must be controlled and changed over to helpful data keeping in mind the end goal to create productive frameworks. In this paper we concentrate on to a urban IoT framework that is utilized to construct Intelligent Transportation System ITS. IoT based intelligent transportation systems are intended to bolster the Smart City vision which intends to utilize the progressed and capable communication systems for the organization of the city and the residents.

  8. Modelling the smart farm

    Directory of Open Access Journals (Sweden)

    Michael J. O'Grady

    2017-09-01

    Full Text Available Smart farming envisages the harnessing of Information and Communication Technologies as an enabler of more efficient, productive, and profitable farming enterprises. Such technologies do not suffice on their own; rather they must be judiciously combined to deliver meaningful information in near real-time. Decision-support tools incorporating models of disparate farming activities, either on their own or in combination with other models, offer one popular approach; exemplars include GPFARM, APSIM, GRAZPLAN amongst many others. Such models tend to be generic in nature and their adoption by individual farmers is minimal. Smart technologies offer an opportunity to remedy this situation; farm-specific models that can reflect near real-time events become tractable using such technologies. Research on the development, and application of farm-specific models is at a very early stage. This paper thus presents an overview of models within the farming enterprise; it then reviews the state-of the art in smart technologies that promise to enable a new generation of enterprise-specific models that will underpin future smart farming enterprises.

  9. Artificial Intelligence Research at the Artificial Intelligence Laboratory, Massachusetts Institute of Technology

    OpenAIRE

    Winston, Patrick H.

    1983-01-01

    The primary goal of the Artificial Intelligence Laboratory is to understand how computers can be made to exhibit intelligence. Two corollary goals are to make computers more useful and to understand certain aspects of human intelligence. Current research includes work on computer robotics and vision, expert systems, learning and commonsense reasoning, natural language understanding, and computer architecture.

  10. SmartSIM - a virtual reality simulator for laparoscopy training using a generic physics engine.

    Science.gov (United States)

    Khan, Zohaib Amjad; Kamal, Nabeel; Hameed, Asad; Mahmood, Amama; Zainab, Rida; Sadia, Bushra; Mansoor, Shamyl Bin; Hasan, Osman

    2017-09-01

    Virtual reality (VR) training simulators have started playing a vital role in enhancing surgical skills, such as hand-eye coordination in laparoscopy, and practicing surgical scenarios that cannot be easily created using physical models. We describe a new VR simulator for basic training in laparoscopy, i.e. SmartSIM, which has been developed using a generic open-source physics engine called the simulation open framework architecture (SOFA). This paper describes the systems perspective of SmartSIM including design details of both hardware and software components, while highlighting the critical design decisions. Some of the distinguishing features of SmartSIM include: (i) an easy-to-fabricate custom-built hardware interface; (ii) use of a generic physics engine to facilitate wider accessibility of our work and flexibility in terms of using various graphical modelling algorithms and their implementations; and (iii) an intelligent and smart evaluation mechanism that facilitates unsupervised and independent learning. Copyright © 2016 John Wiley & Sons, Ltd.

  11. Simulation and Embedded Smart Control

    DEFF Research Database (Denmark)

    Conrad, Finn; Fan, Zhun; Sørensen, Torben

    2006-01-01

    The paper presents results obtained from a Danish mechatronic research program focusing on intelligent motion control, simulation and embedded smart controllers for hydraulic actuators and robots as well as results from the EU projects. A mechatronic test facility with digital controllers...... for a hydraulic robot was implemented. The controllers apply digital signal processors (DSPs), and Field Programmable Gate Array, short named as FPGA, respectively. The DSP controller utilizes the dSPACE System that is suitable for real-time experimentation, evaluation and validation of control laws...... and algorithms. Furthermore, a developed IT-tool concept for controller and system design utilizing the ISO 10303 STEP Standard is proposed....

  12. Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making

    Directory of Open Access Journals (Sweden)

    Bhagya Nathali Silva

    2017-01-01

    Full Text Available The concept of the smart city is widely favored, as it enhances the quality of life of urban citizens, involving multiple disciplines, that is, smart community, smart transportation, smart healthcare, smart parking, and many more. Continuous growth of the complex urban networks is significantly challenged by real-time data processing and intelligent decision-making capabilities. Therefore, in this paper, we propose a smart city framework based on Big Data analytics. The proposed framework operates on three levels: (1 data generation and acquisition level collecting heterogeneous data related to city operations, (2 data management and processing level filtering, analyzing, and storing data to make decisions and events autonomously, and (3 application level initiating execution of the events corresponding to the received decisions. In order to validate the proposed architecture, we analyze a few major types of dataset based on the proposed three-level architecture. Further, we tested authentic datasets on Hadoop ecosystem to determine the threshold and the analysis shows that the proposed architecture offers useful insights into the community development authorities to improve the existing smart city architecture.

  13. Improving building performance using smart building concept: Benefit cost ratio comparison

    Science.gov (United States)

    Berawi, Mohammed Ali; Miraj, Perdana; Sayuti, Mustika Sari; Berawi, Abdur Rohim Boy

    2017-11-01

    Smart building concept is an implementation of technology developed in the construction industry throughout the world. However, the implementation of this concept is still below expectations due to various obstacles such as higher initial cost than a conventional concept and existing regulation siding with the lowest cost in the tender process. This research aims to develop intelligent building concept using value engineering approach to obtain added value regarding quality, efficiency, and innovation. The research combined quantitative and qualitative approach using questionnaire survey and value engineering method to achieve the research objectives. The research output will show additional functions regarding technology innovation that may increase the value of a building. This study shows that smart building concept requires higher initial cost, but produces lower operational and maintenance costs. Furthermore, it also confirms that benefit-cost ratio on the smart building was much higher than a conventional building, that is 1.99 to 0.88.

  14. Automated Cognitive Health Assessment Using Smart Home Monitoring of Complex Tasks.

    Science.gov (United States)

    Dawadi, Prafulla N; Cook, Diane J; Schmitter-Edgecombe, Maureen

    2013-11-01

    One of the many services that intelligent systems can provide is the automated assessment of resident well-being. We hypothesize that the functional health of individuals, or ability of individuals to perform activities independently without assistance, can be estimated by tracking their activities using smart home technologies. In this paper, we introduce a machine learning-based method for assessing activity quality in smart homes. To validate our approach we quantify activity quality for 179 volunteer participants who performed a complex, interweaved set of activities in our smart home apartment. We observed a statistically significant correlation (r=0.79) between automated assessment of task quality and direct observation scores. Using machine learning techniques to predict the cognitive health of the participants based on task quality is accomplished with an AUC value of 0.64. We believe that this capability is an important step in understanding everyday functional health of individuals in their home environments.

  15. A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation

    Directory of Open Access Journals (Sweden)

    Zhanlin Ji

    2014-11-01

    Full Text Available This paper presents the generic concept of using cloud-based intelligent car parking services in smart cities as an important application of the Internet of Things (IoT paradigm. This type of services will become an integral part of a generic IoT operational platform for smart cities due to its pure business-oriented features. A high-level view of the proposed middleware is outlined and the corresponding operational platform is illustrated. To demonstrate the provision of car parking services, based on the proposed middleware, a cloud-based intelligent car parking system for use within a university campus is described along with details of its design, implementation, and operation. A number of software solutions, including Kafka/Storm/Hbase clusters, OSGi web applications with distributed NoSQL, a rule engine, and mobile applications, are proposed to provide ‘best’ car parking service experience to mobile users, following the Always Best Connected and best Served (ABC&S paradigm.

  16. A Cloud-Based Car Parking Middleware for IoT-Based Smart Cities: Design and Implementation

    Science.gov (United States)

    Ji, Zhanlin; Ganchev, Ivan; O'Droma, Máirtín; Zhao, Li; Zhang, Xueji

    2014-01-01

    This paper presents the generic concept of using cloud-based intelligent car parking services in smart cities as an important application of the Internet of Things (IoT) paradigm. This type of services will become an integral part of a generic IoT operational platform for smart cities due to its pure business-oriented features. A high-level view of the proposed middleware is outlined and the corresponding operational platform is illustrated. To demonstrate the provision of car parking services, based on the proposed middleware, a cloud-based intelligent car parking system for use within a university campus is described along with details of its design, implementation, and operation. A number of software solutions, including Kafka/Storm/Hbase clusters, OSGi web applications with distributed NoSQL, a rule engine, and mobile applications, are proposed to provide ‘best’ car parking service experience to mobile users, following the Always Best Connected and best Served (ABC&S) paradigm. PMID:25429416

  17. A cloud-based car parking middleware for IoT-based smart cities: design and implementation.

    Science.gov (United States)

    Ji, Zhanlin; Ganchev, Ivan; O'Droma, Máirtín; Zhao, Li; Zhang, Xueji

    2014-11-25

    This paper presents the generic concept of using cloud-based intelligent car parking services in smart cities as an important application of the Internet of Things (IoT) paradigm. This type of services will become an integral part of a generic IoT operational platform for smart cities due to its pure business-oriented features. A high-level view of the proposed middleware is outlined and the corresponding operational platform is illustrated. To demonstrate the provision of car parking services, based on the proposed middleware, a cloud-based intelligent car parking system for use within a university campus is described along with details of its design, implementation, and operation. A number of software solutions, including Kafka/Storm/Hbase clusters, OSGi web applications with distributed NoSQL, a rule engine, and mobile applications, are proposed to provide 'best' car parking service experience to mobile users, following the Always Best Connected and best Served (ABC&S) paradigm.

  18. Power systems signal processing for smart grids

    CERN Document Server

    Ribeiro, Paulo Fernando; Ribeiro, Paulo Márcio; Cerqueira, Augusto Santiago

    2013-01-01

    With special relation to smart grids, this book provides clear and comprehensive explanation of how Digital Signal Processing (DSP) and Computational Intelligence (CI) techniques can be applied to solve problems in the power system. Its unique coverage bridges the gap between DSP, electrical power and energy engineering systems, showing many different techniques applied to typical and expected system conditions with practical power system examples. Surveying all recent advances on DSP for power systems, this book enables engineers and researchers to understand the current state of the art a

  19. Managing medical and insurance information through a smart-card-based information system.

    Science.gov (United States)

    Lambrinoudakis, C; Gritzalis, S

    2000-08-01

    The continuously increased mobility of patients and doctors, in conjunction with the existence of medical groups consisting of private doctors, general practitioners, hospitals, medical centers, and insurance companies, pose significant difficulties on the management of patients' medical data. Inevitably this affects the quality of the health care services provided. The evolving smart card technology can be utilized for the implementation of a secure portable electronic medical record, carried by the patient herself/himself. In addition to the medical data, insurance information can be stored in the smart card thus facilitating the creation of an "intelligent system" supporting the efficient management of patient's data. In this paper we present the main architectural and functional characteristics of such a system. We also highlight how the security features offered by smart cards can be exploited in order to ensure confidentiality and integrity of the medical data stored in the patient cards.

  20. Moving Towards Sustainable and Resilient Smart Water Grids

    Directory of Open Access Journals (Sweden)

    Michele Mutchek

    2014-03-01

    Full Text Available Urban water systems face sustainability and resiliency challenges including water leaks, over-use, quality issues, and response to drought and natural disasters. Information and communications technology (ICT could help address these challenges through the development of smart water grids that network and automate monitoring and control devices. While progress is being made on technology elements, as a system, the smart water grid has received scant attention. This article aims to raise awareness of the systems-level idea of smart water grids by reviewing the technology elements and their integration into smart water systems, discussing potential sustainability and resiliency benefits, and challenges relating to the adoption of smart water grids. Water losses and inefficient use stand out as promising areas for applications of smart water grids. Potential barriers to the adoption of smart water grids include lack of funding for research and development, economic disincentives as well as institutional and political structures that favor the current system. It is our hope that future work can clarify the benefits of smart water grids and address challenges to their further development.

  1. A context management system for a cost-efficient smart home platform

    OpenAIRE

    J. Schneider; A. Klein; C. Mannweiler; H. D. Schotten

    2012-01-01

    This paper presents an overview of state-of-the-art architectures for integrating wireless sensor and actuators networks into the Future Internet. Furthermore, we will address advantages and disadvantages of the different architectures. With respect to these criteria, we develop a new architecture overcoming these weaknesses. Our system, called Smart Home Context Management System, will be used for intelligent home utilities, appliances, and electronics and includes physical...

  2. Smart assistants for smart homes

    OpenAIRE

    Rasch, Katharina

    2013-01-01

    The smarter homes of tomorrow promise to increase comfort, aid elderly and disabled people, and help inhabitants save energy. Unfortunately, smart homes today are far from this vision – people who already live in such a home struggle with complicated user interfaces, inflexible home configurations, and difficult installation procedures. Under these circumstances, smart homes are not ready for mass adoption. This dissertation addresses these issues by proposing two smart assistants for smart h...

  3. Intelligent system for control and automation of natural gas distribution operation; Sistema inteligente de controle e automacao da operacao de distribuicao de gas natural

    Energy Technology Data Exchange (ETDEWEB)

    Scucuglia, Jose W.; Souza, Celso C. [Universidade para o Desenvolvimento do Estado e da Regiao do Pantanal (UNIDERP), Campo Grande, MS (Brazil). Curso de Engenharia Eletrica; Patricio, Cristian M.M.M.; Cruz, Lauro C.; Reis, Antonio M.; Cortez, Marco A.A.; Maldonado, Waldemar; Rosa, Willian A. [Universidade para o Desenvolvimento do Estado e da Regiao do Pantanal (UNIDERP), Campo Grande, MS (Brazil). Nucleo de Energia, Automacao e Controle; Teixeira, Marcelo C.M. [UNESP, Ilha Solteira, SP (Brazil). Faculdade de Engenharia Eletrica; Carrasco, Benjamim [PETROBRAS, Rio de Janeiro, RJ (Brazil)

    2004-07-01

    The present work has as objective to present the development of a dedicated intelligent system to the operation of natural gas distribution. The system adds tools of project, simulation, supervision and control of the flow of natural gas in networks distribution, and is composed of hardware and intelligent software. The developed software possess friendly graphical interface, so that the operator composing visually the distribution network automatically, composes a mathematical model formed by a set of differential equations, being solved by the Newton-Raphson method. This tool of simulation allows, in function of network topology, to get through simulation the conditions gas flow in each point of the loop flow. The micro controlled hardware for acquisition of the data in real time and control of valves was developed. The hardware possesses flexible communication (Radio Frequency, Ethernet and Optical Fiber), intelligence for decision taking and auto test of its proper functioning, so that guarantee security in the operations. An implanted neural system in software propitiates the control monitoring of the characteristics operation and conditions of leak with loss of load, identifying inclusive the place of this leak along of the duct. A system with national technology was gotten, of low cost and high added technological value. (author)

  4. Agent-based Decentralization of Applications in Distributed Smart Grid Systems

    DEFF Research Database (Denmark)

    Kienesberger, Georg; Xypolytou, Evangelia; Marchgraber, Jurgen

    2015-01-01

    systems (DMACS) and aims to give an overview on the different requirements and challenges on the way from current centralized control systems to DMACS. Therefore, different ICT scenarios and MAS topologies are employed to discuss the decentralization of three exemplary smart grid applications: voltage......Smart grid technology promises to prepare today’s power systems for the challenges of the future by extensive integration of information and communication technology (ICT). One key aspect is the control paradigm which will have to be shifted from completely centralized control systems to more...... dezentralized concepts in order to adapt to the distributed nature of smart grids. Multi-agent systems (MAS) are a very promising approach for designing distributed, decentralized systems, naturally also in the field of smart grids. This work introduces the notion of decentralized multi-agent-based control...

  5. Smart energy and smart energy systems

    DEFF Research Database (Denmark)

    Lund, Henrik; Østergaard, Poul Alberg; Connolly, David

    2017-01-01

    In recent years, the terms “Smart Energy” and “Smart Energy Systems” have been used to express an approach that reaches broader than the term “Smart grid”. Where Smart Grids focus primarily on the electricity sector, Smart Energy Systems take an integrated holistic focus on the inclusion of more...... sectors (electricity, heating, cooling, industry, buildings and transportation) and allows for the identification of more achievable and affordable solutions to the transformation into future renewable and sustainable energy solutions. This paper first makes a review of the scientific literature within...... the field. Thereafter it discusses the term Smart Energy Systems with regard to the issues of definition, identification of solu- tions, modelling, and integration of storage. The conclusion is that the Smart Energy System concept represents a scientific shift in paradigms away from single-sector thinking...

  6. Urban Big Data and the Development of City Intelligence

    Directory of Open Access Journals (Sweden)

    Yunhe Pan

    2016-06-01

    Full Text Available This study provides a definition for urban big data while exploring its features and applications of China's city intelligence. The differences between city intelligence in China and the “smart city” concept in other countries are compared to highlight and contrast the unique definition and model for China's city intelligence in this paper. Furthermore, this paper examines the role of urban big data in city intelligence by showing that it not only serves as the cornerstone of this trend as it also plays a core role in the diffusion of city intelligence technology and serves as an inexhaustible resource for the sustained development of city intelligence. This study also points out the challenges of shaping and developing of China's urban big data. Considering the supporting and core role that urban big data plays in city intelligence, the study then expounds on the key points of urban big data, including infrastructure support, urban governance, public services, and economic and industrial development. Finally, this study points out that the utility of city intelligence as an ideal policy tool for advancing the goals of China's urban development. In conclusion, it is imperative that China make full use of its unique advantages—including using the nation's current state of development and resources, geographical advantages, and good human relations—in subjective and objective conditions to promote the development of city intelligence through the proper application of urban big data.

  7. Efficient logistics enabled by smart solutions in tunneling

    Directory of Open Access Journals (Sweden)

    Zakaria Dakhli

    2017-12-01

    Full Text Available While logistics comprises an important part of tunneling costs, it is generally not considered a lever of performance but rather a constraint to a project's progress. This study presents some insights on how smart technology can impact the tunneling industry. The impact is even greater because of the complexity of the tunneling supply chain, and smart technology could help support this process. Finally, we discuss how the nature of the tunneling industry invites stakeholders to develop a common understanding of the project prior to construction to successfully deploy smart technology during the use or maintenance phase. Keywords: Smart technology, Logistics, Underground space, Supply chain, Construction, Lean construction

  8. A Solution for Street Lighting in Smart Cities

    OpenAIRE

    M. Popa; A. Marcu

    2012-01-01

    Smart Cities is a domain of great interest in the modern society. The aim of a smart urban environment is to increase citizens’ comfort and quality of life with minimum resources and power consumption and without affecting the natural environment. Street lighting is one of the main interests in such a smart environment. This thesis focuses on implementing a lighting control system that makes street lighting to be an autonomous and efficient part of the urban environment. The performance of th...

  9. Recent developments in smart freezing technology applied to fresh foods.

    Science.gov (United States)

    Xu, Ji-Cheng; Zhang, Min; Mujumdar, Arun S; Adhikari, Benu

    2017-09-02

    Due to the increased awareness of consumers in sensorial and nutritional quality of frozen foods, the freezing technology has to seek new and innovative technologies for better retaining the fresh like quality of foods. In this article, we review the recent developments in smart freezing technology applied to fresh foods. The application of these intelligent technologies and the associated underpinning concepts have greatly improved the quality of frozen foods and the freezing efficiency. These technologies are able to automatically collect the information in-line during freezing and help control the freezing process better. Smart freezing technology includes new and intelligent technologies and concepts applied to the pretreatment of the frozen product, freezing processes, cold chain logistics as well as warehouse management. These technologies enable real-time monitoring of quality during the freezing process and help improve product quality and freezing efficiency. We also provide a brief overview of several sensing technologies used to achieve automatic control of individual steps of freezing process. These sensing technologies include computer vision, electronic nose, electronic tongue, digital simulation, confocal laser, near infrared spectroscopy, nuclear magnetic resonance technology and ultrasound. Understanding of the mechanism of these new technologies will be helpful for applying them to improve the quality of frozen foods.

  10. A time series based sequence prediction algorithm to detect activities of daily living in smart home.

    Science.gov (United States)

    Marufuzzaman, M; Reaz, M B I; Ali, M A M; Rahman, L F

    2015-01-01

    The goal of smart homes is to create an intelligent environment adapting the inhabitants need and assisting the person who needs special care and safety in their daily life. This can be reached by collecting the ADL (activities of daily living) data and further analysis within existing computing elements. In this research, a very recent algorithm named sequence prediction via enhanced episode discovery (SPEED) is modified and in order to improve accuracy time component is included. The modified SPEED or M-SPEED is a sequence prediction algorithm, which modified the previous SPEED algorithm by using time duration of appliance's ON-OFF states to decide the next state. M-SPEED discovered periodic episodes of inhabitant behavior, trained it with learned episodes, and made decisions based on the obtained knowledge. The results showed that M-SPEED achieves 96.8% prediction accuracy, which is better than other time prediction algorithms like PUBS, ALZ with temporal rules and the previous SPEED. Since human behavior shows natural temporal patterns, duration times can be used to predict future events more accurately. This inhabitant activity prediction system will certainly improve the smart homes by ensuring safety and better care for elderly and handicapped people.

  11. Integrated smart bearings for next generation aero-engines Part 1: Development of a sensor suite for automatic bearing health monitoring

    OpenAIRE

    Bashir, Imran; Wang, Ling; Harvey, Terence; Zaghari, Bahareh; Weddell, Alexander; White, Neil

    2017-01-01

    The development of smart bearing solutions will contribute to increased aircraft engine reliability, allowing the early detection of bearing failure through robust health monitoring. This project aims to develop intelligent bearing systems for an Ultra High Propulsion Efficiency (UHPE) ground test demonstrator, where a fully integrated self-powered wireless sensing system will be developed for future aircraft. This paper provides a comprehensive review of the state-of-the-art smart bearing te...

  12. Renewable Energy Resources With Smart Microgrid Model In India

    Directory of Open Access Journals (Sweden)

    Manikant Kumar

    2015-08-01

    Full Text Available Along with the development of civilization is increasing energy consumption. Due to which India is facing an energy crisis. It is estimated that global energy demand will double in 2030. India Trhurga other developing countries will face a crisis. Returning to the problem Fall growth of renewable energy resources will increase. Even for electricity generation from renewable sources. Naturally replenished renewable energy such as sunlight wind rain tides and geothermal heat as will have to depend on natural resources. High energy demand and environmental concerns in the papers smart microgrid is forced to change the existing power grid. This paper dynamic demand response and smart microgrid for residential and industrial consumption in the context of renewable energy production including the proposed management approach. The objectives of this research renewable energy resources with a smart microgrid has played an important role. Power system in rural areas in India to meet growing energy demand. The model deployed PLC networks data management system sensors Switchgears Transformers and other utility tools to integrate Smart Grid Smart homes are used together. Analytical results Residential renewable energy generation and smart meters show the effectiveness of the proposed system to optimize control of the electrical grid and is designed to improve energy conservation.

  13. Fundamental Theories and Key Technologies for Smart and Optimal Manufacturing in the Process Industry

    Directory of Open Access Journals (Sweden)

    Feng Qian

    2017-04-01

    Full Text Available Given the significant requirements for transforming and promoting the process industry, we present the major limitations of current petrochemical enterprises, including limitations in decision-making, production operation, efficiency and security, information integration, and so forth. To promote a vision of the process industry with efficient, green, and smart production, modern information technology should be utilized throughout the entire optimization process for production, management, and marketing. To focus on smart equipment in manufacturing processes, as well as on the adaptive intelligent optimization of the manufacturing process, operating mode, and supply chain management, we put forward several key scientific problems in engineering in a demand-driven and application-oriented manner, namely: ① intelligent sensing and integration of all process information, including production and management information; ② collaborative decision-making in the supply chain, industry chain, and value chain, driven by knowledge; ③ cooperative control and optimization of plant-wide production processes via human-cyber-physical interaction; and ④ life-cycle assessments for safety and environmental footprint monitoring, in addition to tracing analysis and risk control. In order to solve these limitations and core scientific problems, we further present fundamental theories and key technologies for smart and optimal manufacturing in the process industry. Although this paper discusses the process industry in China, the conclusions in this paper can be extended to the process industry around the world.

  14. INTELLIGENT NETWORKS, SMART GRIDS CONCEPT, CRUCIAL TECHNOLOGIES FOR SUSTAINABLE DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    Constantin RADU

    2011-05-01

    Full Text Available In this article is presented the concept of smart grids, a very important technology for sustainable development. In the context of globalization of the world lives in an increasingly complex security environment, with rapid changes, some obvious, others less obvious implications in the short, medium or long term, international, national, local and up to every citizen. All countries in the globalized world economy is facing energy problems in terms of climate change have intensified in the twentieth century.

  15. Synergisms between smart metering and smart grid; Synergien zwischen Smart Metering und Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Maas, Peter [IDS GmbH, Ettlingen (Germany)

    2010-04-15

    With the implementation of a smart metering solution, it is not only possible to acquire consumption data for billing but also to acquire relevant data of the distribution grid for grid operation. There is still a wide gap between the actual condition and the target condition. Synergies result from the use of a common infrastructure which takes account both of the requirements of smart metering and of grid operation. An open architecture also enables the future integration of further applications of the fields of smart grid and smart home. (orig.)

  16. Smart Cities for Smart Children

    DEFF Research Database (Denmark)

    Rehm, Matthias; Jensen, Martin Lynge; Wøldike, Niels Peter

    This position paper presents the concept of smart cities for smart children before highlighting three concrete projects we are currently running in order to investigate different aspects of the underlying concept like social-relational interaction and situated and experiential learning.......This position paper presents the concept of smart cities for smart children before highlighting three concrete projects we are currently running in order to investigate different aspects of the underlying concept like social-relational interaction and situated and experiential learning....

  17. Monitoring the performance of Aux. Feedwater Pump using Smart Sensing Model

    Energy Technology Data Exchange (ETDEWEB)

    No, Young Gyu; Seong, Poong Hyun [Korea Advanced Institute of Science and Technology, Daejeon (Korea, Republic of)

    2015-10-15

    Many artificial intelligence (AI) techniques equipped with learning systems have recently been proposed to monitor sensors and components in NPPs. Therefore, the objective of this study is the development of an integrity evaluation method for safety critical components such as Aux. feedwater pump, high pressure safety injection (HPSI) pump, etc. using smart sensing models based on AI techniques. In this work, the smart sensing model is developed at first to predict the performance of Aux. feedwater pump by estimating flowrate using group method of data handing (GMDH) method. If the performance prediction is achieved by this feasibility study, the smart sensing model will be applied to development of the integrity evaluation method for safety critical components. Also, the proposed algorithm for the performance prediction is verified by comparison with the simulation data of the MARS code for station blackout (SBO) events. In this study, the smart sensing model for the prediction performance of Aux. feedwater pump has been developed. In order to develop the smart sensing model, the GMDH algorithm is employed. The GMDH algorithm is the way to find a function that can well express a dependent variable from independent variables. This method uses a data structure similar to that of multiple regression models. The proposed GMDH model can accurately predict the performance of Aux.

  18. Monitoring the performance of Aux. Feedwater Pump using Smart Sensing Model

    International Nuclear Information System (INIS)

    No, Young Gyu; Seong, Poong Hyun

    2015-01-01

    Many artificial intelligence (AI) techniques equipped with learning systems have recently been proposed to monitor sensors and components in NPPs. Therefore, the objective of this study is the development of an integrity evaluation method for safety critical components such as Aux. feedwater pump, high pressure safety injection (HPSI) pump, etc. using smart sensing models based on AI techniques. In this work, the smart sensing model is developed at first to predict the performance of Aux. feedwater pump by estimating flowrate using group method of data handing (GMDH) method. If the performance prediction is achieved by this feasibility study, the smart sensing model will be applied to development of the integrity evaluation method for safety critical components. Also, the proposed algorithm for the performance prediction is verified by comparison with the simulation data of the MARS code for station blackout (SBO) events. In this study, the smart sensing model for the prediction performance of Aux. feedwater pump has been developed. In order to develop the smart sensing model, the GMDH algorithm is employed. The GMDH algorithm is the way to find a function that can well express a dependent variable from independent variables. This method uses a data structure similar to that of multiple regression models. The proposed GMDH model can accurately predict the performance of Aux

  19. Street Smarts and a Scalpel: Emotional Intelligence in Surgical Education.

    Science.gov (United States)

    Erdman, Mary Kate; Bonaroti, Alisha; Provenzano, Gina; Appelbaum, Rachel; Browne, Marybeth

    To evaluate trends of emotional intelligence (EI) in surgical education and to compare the incorporation of EI in surgical education to other fields of graduate medical education. A MEDLINE search was performed for publications containing both "surgery" and "emotional intelligence" with at least one term present in the title. Articles were included if the authors deemed EI in surgical education to be a significant focus. A separate series of MEDLINE searches were performed with the phrase "emotional intelligence" in any field and either "surg*," "internal medicine," "pediatric," "neurology," "obstetric," "gynecology," "OBGYN," "emergency," or "psychiat*" in the title. Articles were included if they discussed resident education as the primary subject. Next, a qualitative analysis of the articles was performed, with important themes from each article noted. Lehigh Valley Health Network in Allentown, PA. Eight articles addressed surgical resident education and satisfied inclusion criteria with 0, 1, and 7 articles published between 2001 and 2005, 2005 and 2010, and 2010 and 2015, respectively. The comparative data for articles on EI and resident education showed the following : 8 in surgery, 2 in internal medicine, 2 in pediatrics, 0 in neurology, 0 in OBGYN, 1 in emergency medicine, and 3 in psychiatry. Integration of EI principles is a growing trend within surgical education. A prominent theme is quantitative assessment of EI in residents and residency applicants. Further study is warranted on the integration process of EI in surgical education and its effect on patient outcomes and long-term job satisfaction. Copyright © 2017 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

  20. Will smart surveillance systems listen, understand and speak Slovene?

    Directory of Open Access Journals (Sweden)

    Simon Dobrišek

    2013-12-01

    Full Text Available The paper deals with the spoken language technologies that could enable the so-called smart (intelligent surveillance systems to listen, understand and speak Slovenian in the near future. Advanced computational methods of artificial perception and pattern recognition enable such systems to be at least to some extent aware of the environment, the presence of people and other phenomena that could be subject to surveillance. Speech is one such phenomenon that has the potential to be a key source of information in certain security situations. Technologies that enable automatic speech and speaker recognition as well as their psychophysical state by computer analysis of acoustic speech signals provide an entirely new dimension to the development of smart surveillance systems. Automatic recognition of spoken threats, screaming and crying for help, as well as a suspicious psycho-physical state of a speaker provide such systems to some extent with intelligent behaviour. The paper investigates the current state of development of these technologies and the requirements and possibilities of these systems to be used for the Slovenian spoken language, as well as different possible security application scenarios. It also addresses the broader legal and ethical issues raised by the development and use of such technologies, especially as audio surveillance is one of the most sensitive issues of privacy protection.

  1. An Efficient Framework for Development of Task-Oriented Dialog Systems in a Smart Home Environment

    Directory of Open Access Journals (Sweden)

    Youngmin Park

    2018-05-01

    Full Text Available In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an evident lack of research on a dialog framework that can integrate and manage the entire dialog system. Therefore, in this study, we propose a framework that enables the user to effectively develop an intelligent dialog system. The proposed framework ontologically expresses the knowledge required for the task-oriented dialog system’s process and can build a dialog system by editing the dialog knowledge. In addition, the framework provides a module router that can indirectly run externally developed modules. Further, it enables a more intelligent conversation by providing a hierarchical argument structure (HAS to manage the various argument representations included in natural language sentences. To verify the practicality of the framework, an experiment was conducted in which developers without any previous experience in developing a dialog system developed task-oriented dialog systems using the proposed framework. The experimental results show that even beginner dialog system developers can develop a high-level task-oriented dialog system.

  2. An Efficient Framework for Development of Task-Oriented Dialog Systems in a Smart Home Environment.

    Science.gov (United States)

    Park, Youngmin; Kang, Sangwoo; Seo, Jungyun

    2018-05-16

    In recent times, with the increasing interest in conversational agents for smart homes, task-oriented dialog systems are being actively researched. However, most of these studies are focused on the individual modules of such a system, and there is an evident lack of research on a dialog framework that can integrate and manage the entire dialog system. Therefore, in this study, we propose a framework that enables the user to effectively develop an intelligent dialog system. The proposed framework ontologically expresses the knowledge required for the task-oriented dialog system's process and can build a dialog system by editing the dialog knowledge. In addition, the framework provides a module router that can indirectly run externally developed modules. Further, it enables a more intelligent conversation by providing a hierarchical argument structure (HAS) to manage the various argument representations included in natural language sentences. To verify the practicality of the framework, an experiment was conducted in which developers without any previous experience in developing a dialog system developed task-oriented dialog systems using the proposed framework. The experimental results show that even beginner dialog system developers can develop a high-level task-oriented dialog system.

  3. The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives.

    Science.gov (United States)

    Stefanov, Dimitar H; Bien, Zeungnam; Bang, Won-Chul

    2004-06-01

    Smart houses are considered a good alternative for the independent life of older persons and persons with disabilities. Numerous intelligent devices, embedded into the home environment, can provide the resident with both movement assistance and 24-h health monitoring. Modern home-installed systems tend to be not only physically versatile in functionality but also emotionally human-friendly, i.e., they may be able to perform their functions without disturbing the user and without causing him/her any pain, inconvenience, or movement restriction, instead possibly providing him/her with comfort and pleasure. Through an extensive survey, this paper analyzes the building blocks of smart houses, with particular attention paid to the health monitoring subsystem as an important component, by addressing the basic requirements of various sensors implemented from both research and clinical perspectives. The paper will then discuss some important issues of the future development of an intelligent residential space with a human-friendly health monitoring functional system.

  4. Integrating Smart Resources in ROS-based systems to distribute services

    Directory of Open Access Journals (Sweden)

    Eduardo MUNERA

    2017-03-01

    Full Text Available Mobile robots need to manage a lot of sensors and actuators using micro-controllers.To do complexes tasks, a highly computation central unit is also needed. In many cases, a robot is a intelligent distributed system formed with a central unit, which manages and distributes several specific tasks to some micro-controller embedded systems onboard.Now these embedded systems are also evolving to more complex systems that are developed not only for executing simple tasks but offering some advanced algorithmsjust as complex data processing, adaptive execution, or fault-tolerance and alarm rising mechanisms. To manage these types of embedded systems a paradigm, calledSmart Resource has been developed. Smart Resources topology has been raised to manage resources which execution relies on a physical embedded hardware. TheseSmart Resources are defined as a list of distributed services that can configure its execution in order to accomplish a context and quality requirements. In order to provide a more general implementation Smart Resources are integrated into the RobotOperating System (ROS. Paper presents a solution based on the Turtlebot platformrunning ROS. The solution shows how robots can make use of all the functions andmechanisms provided by the ROS and the distribution, reliability and adaptability ofthe Smart Resources. In addition it is also addressed the flexibility and scalability ofimplementation by combining real and simulated devices into the same platform

  5. Demonstration of the CDMA-mode CAOS smart camera.

    Science.gov (United States)

    Riza, Nabeel A; Mazhar, Mohsin A

    2017-12-11

    Demonstrated is the code division multiple access (CDMA)-mode coded access optical sensor (CAOS) smart camera suited for bright target scenarios. Deploying a silicon CMOS sensor and a silicon point detector within a digital micro-mirror device (DMD)-based spatially isolating hybrid camera design, this smart imager first engages the DMD starring mode with a controlled factor of 200 high optical attenuation of the scene irradiance to provide a classic unsaturated CMOS sensor-based image for target intelligence gathering. Next, this CMOS sensor provided image data is used to acquire a focused zone more robust un-attenuated true target image using the time-modulated CDMA-mode of the CAOS camera. Using four different bright light test target scenes, successfully demonstrated is a proof-of-concept visible band CAOS smart camera operating in the CDMA-mode using up-to 4096 bits length Walsh design CAOS pixel codes with a maximum 10 KHz code bit rate giving a 0.4096 seconds CAOS frame acquisition time. A 16-bit analog-to-digital converter (ADC) with time domain correlation digital signal processing (DSP) generates the CDMA-mode images with a 3600 CAOS pixel count and a best spatial resolution of one micro-mirror square pixel size of 13.68 μm side. The CDMA-mode of the CAOS smart camera is suited for applications where robust high dynamic range (DR) imaging is needed for un-attenuated un-spoiled bright light spectrally diverse targets.

  6. When energy grids become intelligent: smart grid standardisation in the starting-blocks; interconnection in Europe: 50 billions Euros to boost all networks; smart electric grids feed new projects; The United States and Europe connect standards on smart electric grids; smart metering: standards place their marker

    International Nuclear Information System (INIS)

    Nedey, Fabienne; Tourneur, Jean-Claude; Barthet, Marie-Claire

    2012-01-01

    As talking about smart grids has became a leitmotiv, their development appears to be complex as it requires all the actors (carriers, dealers, providers, decentralised producers, consumers, equipment manufacturers, and so on) to share a same transverse vision. A European cooperation group has been set up which gathers representatives of the European electrical and telecommunication industry. Beside, the European Commission has presented a plan which comprises 50 billions Euros of investments to improve all networks in the fields of transports, energy and digital technology. In France, six projects on smart grids gathered 115 millions Euros. At the international level, the NIST and SGCG have been asked to cooperatively elaborate a standard framework for smart grids. But smart metering concerns other fields than electricity...

  7. On the Idea of a New Artificial Intelligence Based Optimization Algorithm Inspired From the Nature of Vortex

    Directory of Open Access Journals (Sweden)

    Utku Kose

    2015-07-01

    Full Text Available In this paper, the idea of a new artificial intelligence based optimization algorithm, which is inspired from the nature of vortex, has been provided briefly. As also a bio-inspired computation algorithm, the idea is generally focused on a typical vortex flow / behavior in nature and inspires from some dynamics that are occurred in the sense of vortex nature. Briefly, the algorithm is also a swarm-oriented evolutional problem solution approach; because it includes many methods related to elimination of weak swarm members and trying to improve the solution process by supporting the solution space via new swarm members. In order have better idea about success of the algorithm; it has been tested via some benchmark functions. At this point, the obtained results show that the algorithm can be an alternative to the literature in terms of single-objective optimizationsolution ways. Vortex Optimization Algorithm (VOA is the name suggestion by the authors; for this new idea of intelligent optimization approach.

  8. A Solution for Street Lighting in Smart Cities

    Directory of Open Access Journals (Sweden)

    M. Popa

    2012-06-01

    Full Text Available Smart Cities is a domain of great interest in the modern society. The aim of a smart urban environment is to increase citizens’ comfort and quality of life with minimum resources and power consumption and without affecting the natural environment. Street lighting is one of the main interests in such a smart environment. This thesis focuses on implementing a lighting control system that makes street lighting to be an autonomous and efficient part of the urban environment. The performance of the proposed system is analyzed using an OMNET++ network simulation. The results lead to the conclusion that the smart control system improves some drawbacks of a classic street lighting system.

  9. Cyber security challenges in Smart Cities: Safety, security and privacy

    Science.gov (United States)

    Elmaghraby, Adel S.; Losavio, Michael M.

    2014-01-01

    The world is experiencing an evolution of Smart Cities. These emerge from innovations in information technology that, while they create new economic and social opportunities, pose challenges to our security and expectations of privacy. Humans are already interconnected via smart phones and gadgets. Smart energy meters, security devices and smart appliances are being used in many cities. Homes, cars, public venues and other social systems are now on their path to the full connectivity known as the “Internet of Things.” Standards are evolving for all of these potentially connected systems. They will lead to unprecedented improvements in the quality of life. To benefit from them, city infrastructures and services are changing with new interconnected systems for monitoring, control and automation. Intelligent transportation, public and private, will access a web of interconnected data from GPS location to weather and traffic updates. Integrated systems will aid public safety, emergency responders and in disaster recovery. We examine two important and entangled challenges: security and privacy. Security includes illegal access to information and attacks causing physical disruptions in service availability. As digital citizens are more and more instrumented with data available about their location and activities, privacy seems to disappear. Privacy protecting systems that gather data and trigger emergency response when needed are technological challenges that go hand-in-hand with the continuous security challenges. Their implementation is essential for a Smart City in which we would wish to live. We also present a model representing the interactions between person, servers and things. Those are the major element in the Smart City and their interactions are what we need to protect. PMID:25685517

  10. Cyber security challenges in Smart Cities: Safety, security and privacy

    Directory of Open Access Journals (Sweden)

    Adel S. Elmaghraby

    2014-07-01

    Full Text Available The world is experiencing an evolution of Smart Cities. These emerge from innovations in information technology that, while they create new economic and social opportunities, pose challenges to our security and expectations of privacy. Humans are already interconnected via smart phones and gadgets. Smart energy meters, security devices and smart appliances are being used in many cities. Homes, cars, public venues and other social systems are now on their path to the full connectivity known as the “Internet of Things.” Standards are evolving for all of these potentially connected systems. They will lead to unprecedented improvements in the quality of life. To benefit from them, city infrastructures and services are changing with new interconnected systems for monitoring, control and automation. Intelligent transportation, public and private, will access a web of interconnected data from GPS location to weather and traffic updates. Integrated systems will aid public safety, emergency responders and in disaster recovery. We examine two important and entangled challenges: security and privacy. Security includes illegal access to information and attacks causing physical disruptions in service availability. As digital citizens are more and more instrumented with data available about their location and activities, privacy seems to disappear. Privacy protecting systems that gather data and trigger emergency response when needed are technological challenges that go hand-in-hand with the continuous security challenges. Their implementation is essential for a Smart City in which we would wish to live. We also present a model representing the interactions between person, servers and things. Those are the major element in the Smart City and their interactions are what we need to protect.

  11. Cyber security challenges in Smart Cities: Safety, security and privacy.

    Science.gov (United States)

    Elmaghraby, Adel S; Losavio, Michael M

    2014-07-01

    The world is experiencing an evolution of Smart Cities. These emerge from innovations in information technology that, while they create new economic and social opportunities, pose challenges to our security and expectations of privacy. Humans are already interconnected via smart phones and gadgets. Smart energy meters, security devices and smart appliances are being used in many cities. Homes, cars, public venues and other social systems are now on their path to the full connectivity known as the "Internet of Things." Standards are evolving for all of these potentially connected systems. They will lead to unprecedented improvements in the quality of life. To benefit from them, city infrastructures and services are changing with new interconnected systems for monitoring, control and automation. Intelligent transportation, public and private, will access a web of interconnected data from GPS location to weather and traffic updates. Integrated systems will aid public safety, emergency responders and in disaster recovery. We examine two important and entangled challenges: security and privacy. Security includes illegal access to information and attacks causing physical disruptions in service availability. As digital citizens are more and more instrumented with data available about their location and activities, privacy seems to disappear. Privacy protecting systems that gather data and trigger emergency response when needed are technological challenges that go hand-in-hand with the continuous security challenges. Their implementation is essential for a Smart City in which we would wish to live. We also present a model representing the interactions between person, servers and things. Those are the major element in the Smart City and their interactions are what we need to protect.

  12. Electric Vehicle Requirements for Operation in Smart Grids

    DEFF Research Database (Denmark)

    Marra, Francesco; Sacchetti, Dario; Træholt, Chresten

    2011-01-01

    Several European projects on smart grids are considering Electric Vehicles (EVs) as active element in future power systems. Both battery-powered vehicles and plug-in hybrid vehicles are expected to interact with the grid, sharing their energy storage capacity. Different coordination concepts...... for EVs are being investigated, in which vehicles can be intelligently charged or discharged feeding power back to the grid in vehicle-to-grid mode (V2G). To respond to such needs, EVs are required to share their battery internal data as well as respond to external control signals. In this paper...

  13. Volttron: An Agent Platform for the Smart Grid

    Energy Technology Data Exchange (ETDEWEB)

    Haack, Jereme N.; Akyol, Bora A.; Carpenter, Brandon J.; Tews, Cody W.; Foglesong, Lance W.

    2013-05-06

    VOLLTRON platform enables the deployment of intelligent sensors and controllers in the smart grid and provides a stable, secure and flexible framework that expands the sensing and control capabilities. VOLTTRON platform provides services fulfilling the essential requirements of resource management and security for agent operation in the power grid. The facilities provided by the platform allow agent developers to focus on the implementation of their agent system and not on the necessary "plumbing' code. For example, a simple collaborative demand response application was written in less than 200 lines of Python.

  14. Computer Modelling «Smart Building»

    Directory of Open Access Journals (Sweden)

    O. Yu. Maryasin

    2016-01-01

    Full Text Available Currently ”Smart building” or ”Smart house” technology is developing actively in industrialized countries. The main idea of ”smart building” or ”smart house” is to have a system which is able to identify definite situations happening in house and respond accordingly. Automated house management system is made for automated control and management and also for organization of interaction between separated systems of engineering equipment. This system includes automation subsystems of one or another engineering equipment as separated components. In order to perform study of different functioning modes of engineering subsystems and the whole system, mathematical and computer modeling needs to be used. From mathematical point of veiw description of ”Smart building” is a continuous-discrete or hybrid system consisting of interacting elements of different nature, whose behavior is described by continuous and discrete processes. In the article the authors present a computer model ”Smart building” which allows to model the work of main engineering subsystems and management algorithms. The model is created in Simulink Matlab system with ”physical modeling” library Simscape and Stateflow library. The peculiarity of this model is the use of specialized management and control algorithms which allow providing coordinated interaction of subsystems and optimizing power consumption. 

  15. The purchase of natural gas using a smart card. Energy company and customer sometimes better off with prepayment

    International Nuclear Information System (INIS)

    Meijerink, R.; Meyer, G.E.

    1997-01-01

    In particular in an open market prepayment systems offer advantages for small-scale and large-scale consumers and energy utilities. The use of prepayment systems makes invoices superfluous and defaulters do not have to disconnected. By means of a smart card it is simple to register who made the purchase and to whom gas is supplied. The Dutch natural gas research institute Gastec plans a project to test the safety of prepayment systems

  16. Artificial Intelligence in Video Games: Towards a Unified Framework

    OpenAIRE

    Safadi, Firas

    2015-01-01

    The work presented in this dissertation revolves around the problem of designing artificial intelligence (AI) for video games. This problem becomes increasingly challenging as video games grow in complexity. With modern video games frequently featuring sophisticated and realistic environments, the need for smart and comprehensive agents that understand the various aspects of these environments is pressing. Although machine learning techniques are being successfully applied in a multitude of d...

  17. Secure data exchange between intelligent devices and computing centers

    Science.gov (United States)

    Naqvi, Syed; Riguidel, Michel

    2005-03-01

    The advent of reliable spontaneous networking technologies (commonly known as wireless ad-hoc networks) has ostensibly raised stakes for the conception of computing intensive environments using intelligent devices as their interface with the external world. These smart devices are used as data gateways for the computing units. These devices are employed in highly volatile environments where the secure exchange of data between these devices and their computing centers is of paramount importance. Moreover, their mission critical applications require dependable measures against the attacks like denial of service (DoS), eavesdropping, masquerading, etc. In this paper, we propose a mechanism to assure reliable data exchange between an intelligent environment composed of smart devices and distributed computing units collectively called 'computational grid'. The notion of infosphere is used to define a digital space made up of a persistent and a volatile asset in an often indefinite geographical space. We study different infospheres and present general evolutions and issues in the security of such technology-rich and intelligent environments. It is beyond any doubt that these environments will likely face a proliferation of users, applications, networked devices, and their interactions on a scale never experienced before. It would be better to build in the ability to uniformly deal with these systems. As a solution, we propose a concept of virtualization of security services. We try to solve the difficult problems of implementation and maintenance of trust on the one hand, and those of security management in heterogeneous infrastructure on the other hand.

  18. Natural and Artificial Intelligence in Neurosurgery: A Systematic Review.

    Science.gov (United States)

    Senders, Joeky T; Arnaout, Omar; Karhade, Aditya V; Dasenbrock, Hormuzdiyar H; Gormley, William B; Broekman, Marike L; Smith, Timothy R

    2017-09-07

    Machine learning (ML) is a domain of artificial intelligence that allows computer algorithms to learn from experience without being explicitly programmed. To summarize neurosurgical applications of ML where it has been compared to clinical expertise, here referred to as "natural intelligence." A systematic search was performed in the PubMed and Embase databases as of August 2016 to review all studies comparing the performance of various ML approaches with that of clinical experts in neurosurgical literature. Twenty-three studies were identified that used ML algorithms for diagnosis, presurgical planning, or outcome prediction in neurosurgical patients. Compared to clinical experts, ML models demonstrated a median absolute improvement in accuracy and area under the receiver operating curve of 13% (interquartile range 4-21%) and 0.14 (interquartile range 0.07-0.21), respectively. In 29 (58%) of the 50 outcome measures for which a P -value was provided or calculated, ML models outperformed clinical experts ( P .05), while in 3 of 50 (6%) clinical experts outperformed ML models ( P < .05). All 4 studies that compared clinicians assisted by ML models vs clinicians alone demonstrated a better performance in the first group. We conclude that ML models have the potential to augment the decision-making capacity of clinicians in neurosurgical applications; however, significant hurdles remain associated with creating, validating, and deploying ML models in the clinical setting. Shifting from the preconceptions of a human-vs-machine to a human-and-machine paradigm could be essential to overcome these hurdles. Published by Oxford University Press on behalf of Congress of Neurological Surgeons 2017.

  19. System-Aware Smart Network Management for Nano-Enriched Water Quality Monitoring

    Directory of Open Access Journals (Sweden)

    B. Mokhtar

    2016-01-01

    Full Text Available This paper presents a comprehensive water quality monitoring system that employs a smart network management, nano-enriched sensing framework, and intelligent and efficient data analysis and forwarding protocols for smart and system-aware decision making. The presented system comprises two main subsystems, a data sensing and forwarding subsystem (DSFS, and Operation Management Subsystem (OMS. The OMS operates based on real-time learned patterns and rules of system operations projected from the DSFS to manage the entire network of sensors. The main tasks of OMS are to enable real-time data visualization, managed system control, and secure system operation. The DSFS employs a Hybrid Intelligence (HI scheme which is proposed through integrating an association rule learning algorithm with fuzzy logic and weighted decision trees. The DSFS operation is based on profiling and registering raw data readings, generated from a set of optical nanosensors, as profiles of attribute-value pairs. As a case study, we evaluate our implemented test bed via simulation scenarios in a water quality monitoring framework. The monitoring processes are simulated based on measuring the percentage of dissolved oxygen and potential hydrogen (PH in fresh water. Simulation results show the efficiency of the proposed HI-based methodology at learning different water quality classes.

  20. A Case Study of Air Cleaner by the Intelligent Interaction and Emotion

    Science.gov (United States)

    Cao, Huai; Sun, Yuwen

    2018-02-01

    The pure and fresh air can not only contribute to our physical and mental health, but also can be beneficial to ease the pressure and relax the mood. The vertical intelligent air cleaner can remove the harmful gases from the air and absorb the suspended particles in the air, especially all kinds of the bacteria and viruses. The air cleaner is good for improving the air quality of the indoor and maintaining the health of the people. The designing of the vertical air cleaner is as follows: The designing of the vertical intelligent make full use of the developed air purification technology. The smart home is inserted into the work. Simultaneously, in the aspect of the design of intelligent products, the intelligent interactive processes are scientifically planned. Moreover, the emotional design and the user experience are fully considered, which can enhance the comprehensive design ability.

  1. Smartness and Italian Cities. A Cluster Analysis

    Directory of Open Access Journals (Sweden)

    Flavio Boscacci

    2014-05-01

    Full Text Available Smart cities have been recently recognized as the most pleasing and attractive places to live in; due to this, both scholars and policy-makers pay close attention to this topic. Specifically, urban “smartness” has been identified by plenty of characteristics that can be grouped into six dimensions (Giffinger et al. 2007: smart Economy (competitiveness, smart People (social and human capital, smart Governance (participation, smart Mobility (both ICTs and transport, smart Environment (natural resources, and smart Living (quality of life. According to this analytical framework, in the present paper the relation between urban attractiveness and the “smart” characteristics has been investigated in the 103 Italian NUTS3 province capitals in the year 2011. To this aim, a descriptive statistics has been followed by a regression analysis (OLS, where the dependent variable measuring the urban attractiveness has been proxied by housing market prices. Besides, a Cluster Analysis (CA has been developed in order to find differences and commonalities among the province capitals.The OLS results indicate that living, people and economy are the key drivers for achieving a better urban attractiveness. Environment, instead, keeps on playing a minor role. Besides, the CA groups the province capitals a

  2. Routledge companion to intelligence studies

    CERN Document Server

    Dover, Robert; Hillebrand, Claudia

    2013-01-01

    The Routledge Companion to Intelligence Studies provides a broad overview of the growing field of intelligence studies. The recent growth of interest in intelligence and security studies has led to an increased demand for popular depictions of intelligence and reference works to explain the architecture and underpinnings of intelligence activity. Divided into five comprehensive sections, this Companion provides a strong survey of the cutting-edge research in the field of intelligence studies: Part I: The evolution of intelligence studies; Part II: Abstract approaches to intelligence; Part III: Historical approaches to intelligence; Part IV: Systems of intelligence; Part V: Contemporary challenges. With a broad focus on the origins, practices and nature of intelligence, the book not only addresses classical issues, but also examines topics of recent interest in security studies. The overarching aim is to reveal the rich tapestry of intelligence studies in both a sophisticated and accessible way. This Companion...

  3. A Framework for Intelligent Instructional Systems: An Artificial Intelligence Machine Learning Approach.

    Science.gov (United States)

    Becker, Lee A.

    1987-01-01

    Presents and develops a general model of the nature of a learning system and a classification for learning systems. Highlights include the relationship between artificial intelligence and cognitive psychology; computer-based instructional systems; intelligent instructional systems; and the role of the learner's knowledge base in an intelligent…

  4. An IBeacon-Based Location System for Smart Home Control.

    Science.gov (United States)

    Liu, Qinghe; Yang, Xinshuang; Deng, Lizhen

    2018-06-11

    Indoor location and intelligent control system can bring convenience to people’s daily life. In this paper, an indoor control system is designed to achieve equipment remote control by using low-energy Bluetooth (BLE) beacon and Internet of Things (IoT) technology. The proposed system consists of five parts: web server, home gateway, smart terminal, smartphone app and BLE beacons. In the web server, fingerprint matching based on RSSI stochastic characteristic and posture recognition model based on geomagnetic sensing are used to establish a more efficient equipment control system, combined with Pedestrian Dead Reckoning (PDR) technology to improve the accuracy of location. A personalized menu of remote “one-click” control is finally offered to users in a smartphone app. This smart home control system has been implemented by hardware, and precision and stability tests have been conducted, which proved the practicability and good user experience of this solution.

  5. Research and implementation of intelligent gateway driver layer based on Linux bus

    Directory of Open Access Journals (Sweden)

    ZHANG Jian

    2016-10-01

    Full Text Available Currently,in the field of smart home,there is no relevant organization that yet has proposed an unified protocol standard.It increases the complexity and limitations of heterogeneous gateway software framework design that different vendor′s devices have different communication mode and protocol standards.In this paper,a serial of interfaces are provided by Linux kernel,and a virtual bus is registered under Linux.The physical device drivers are able to connect to the virtual bus.The detailed designs of the communication protocol are placed in the underlying adapters,making the integration of heterogeneous networks more natural.At the same time,designing the intelligent gateway system driver layer based on Linux bus can let the application layer be more unified and clear logical.And it also let the hardware access network become more convenient and distinct.

  6. Artificial Intelligence and Economic Theories

    OpenAIRE

    Marwala, Tshilidzi; Hurwitz, Evan

    2017-01-01

    The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence such as the swarming of birds, the working of the brain and the pathfinding of the ants. These techniques have impact on economic theories. This book studies the impact of artificial intelligence on economic theories, a subject that has not been extensively studied. The theories that...

  7. Privacy aware energy management for a smart home including a battery

    Energy Technology Data Exchange (ETDEWEB)

    Lindenmueller, Christoph; Charzinski, Joachim [Hochschule der Medien, Stuttgart (Germany); Grecos, Christos [University of the West of Scotland (UWS) (United Kingdom)

    2012-07-01

    Besides many benefits the intelligent power grid smart grid implies new security and privacy risks. The energy usage profiles recorded by smart meters could be used harmfully against energy customers, as they may reveal information on personal or business activity involving electric devices. Transmission of energy usage data over the internet and data mining techniques increase scalability and potential damage of possible attacks. Besides known measures of IT security, local energy storage capable of changing load profiles with its charging and discharging activity could be a fundamental privacy improvement for electricity customers. This paper shows a management algorithm for stationary electric storage with respect to information contained in energy usage profiles of housing units. A software simulation benchmarks parameters of a battery management algorithm by reference to privacy aspects and energy cost. (orig.)

  8. Intelligent Metering for Urban Water: A Review

    Directory of Open Access Journals (Sweden)

    Rodney Stewart

    2013-07-01

    Full Text Available This paper reviews the drivers, development and global deployment of intelligent water metering in the urban context. Recognising that intelligent metering (or smart metering has the potential to revolutionise customer engagement and management of urban water by utilities, this paper provides a summary of the knowledge-base for researchers and industry practitioners to ensure that the technology fosters sustainable urban water management. To date, roll-outs of intelligent metering have been driven by the desire for increased data regarding time of use and end-use (such as use by shower, toilet, garden, etc. as well as by the ability of the technology to reduce labour costs for meter reading. Technology development in the water sector generally lags that seen in the electricity sector. In the coming decade, the deployment of intelligent water metering will transition from being predominantly “pilot or demonstration scale” with the occasional city-wide roll-out, to broader mainstream implementation. This means that issues which have hitherto received little focus must now be addressed, namely: the role of real-time data in customer engagement and demand management; data ownership, sharing and privacy; technical data management and infrastructure security, utility workforce skills; and costs and benefits of implementation.

  9. Is Intelligence Artificial?

    OpenAIRE

    Greer, Kieran

    2014-01-01

    Our understanding of intelligence is directed primarily at the level of human beings. This paper attempts to give a more unifying definition that can be applied to the natural world in general. The definition would be used more to verify a degree of intelligence, not to quantify it and might help when making judgements on the matter. A version of an accepted test for AI is then put forward as the 'acid test' for Artificial Intelligence itself. It might be what a free-thinking program or robot...

  10. How to be smart and energy efficient: A general discussion on thermochromic windows

    Science.gov (United States)

    Long, Linshuang; Ye, Hong

    2014-01-01

    A window is a unique element in a building because of its simultaneous properties of being “opaque” to inclement weather yet transparent to the observer. However, these unique features make the window an element that can reduce the energy efficiency of buildings. A thermochromic window is a type of smart window whose solar radiation properties vary with temperature. It is thought that the solar radiation gain of a room can be intelligently regulated through the use of thermochromic windows, resulting in lower energy consumption than with standard windows. Materials scientists have made many efforts to improve the performance of thermochromic materials. Despite these efforts, fundamental problems continue to confront us. How should a “smart” window behave? Is a “smart” window really the best candidate for energy-efficient applications? What is the relationship between smartness and energy performance? To answer these questions, a general discussion of smartness and energy performance is provided. PMID:25233891

  11. True Visions The Emergence of Ambient Intelligence

    CERN Document Server

    Aarts, Emile

    2006-01-01

    Ambient intelligence (AI) refers to a developing technology that will increasingly make our everyday environment sensitive and responsive to our presence. The AI vision requires technology invisibly embedded in our everyday surroundings, present whenever we need it that will lead to the seamless integration of lighting, sounds, vision, domestic appliances, and personal healthcare products to enhance our living experience. Written for the non-specialist seeking an authoritative but accessible overview of this interdisciplinary field, True Visions explains how the devices making up the AI world will operate collectively using information and intelligence hidden in the wireless network connecting them. Expert contributions address key AI components such as smart materials and textiles, system architecture, mobile computing, broadband communication, and underlying issues of human-environment interactions. It seeks to unify the perspectives of scientists from diverse backgrounds ranging from the physics of materia...

  12. Smart Grid folder - When research is made in close collaboration: France and Germany multiply initiatives; Greenlys, a French breakthrough in smart grids; Integration of ENRs - Germany; it's working hard in the North

    International Nuclear Information System (INIS)

    Bongrain, Timothee; Piro, Patrick

    2016-01-01

    A first article proposes an overview of some of the numerous initiatives taken by France and Germany for the development of smart grids. In France, these are regional projects and are for example named Smile, You and Grid, Flexgrid, CityOps, Smart Electric Lyon, Nice Grid, Premio. On its side, Germany has launched the SINTEG programme of five demonstrators of energy intelligence and energy digitalisation at a regional scale. A second article presents the Greenlys project of experimentation of a smart grid in Lyon and in Grenoble by a consortium of energy and industrial companies, public bodies and academics. The third article addresses the New 4.0 German project of integration of renewable energies into the grid, based on the use of smart grids and consumption steering. This project concerns the Schleswig-Holstein and Hamburg Lander where renewable energies are expected to reach 70 per cent in 2025 and 100 per cent in 2035 in their energy mix. Other similar projects undertaken on other German regions are also mentioned

  13. Controls and Health Management Technologies for Intelligent Aerospace Propulsion Systems

    Science.gov (United States)

    Garg, Sanjay

    2004-01-01

    With the increased emphasis on aircraft safety, enhanced performance and affordability, and the need to reduce the environmental impact of aircraft, there are many new challenges being faced by the designers of aircraft propulsion systems. The Controls and Dynamics Technology Branch at NASA (National Aeronautics and Space Administration) Glenn Research Center (GRC) in Cleveland, Ohio, is leading and participating in various projects in partnership with other organizations within GRC and across NASA, the U.S. aerospace industry, and academia to develop advanced controls and health management technologies that will help meet these challenges through the concept of an Intelligent Engine. The key enabling technologies for an Intelligent Engine are the increased efficiencies of components through active control, advanced diagnostics and prognostics integrated with intelligent engine control to enhance component life, and distributed control with smart sensors and actuators in an adaptive fault tolerant architecture. This paper describes the current activities of the Controls and Dynamics Technology Branch in the areas of active component control and propulsion system intelligent control, and presents some recent analytical and experimental results in these areas.

  14. Tourism Diversification and Its Implications for Smart Specialisation

    OpenAIRE

    Adi Weidenfeld

    2018-01-01

    The complex nature of tourism, its strong inter-sectoral relationships and regional dimension challenge innovation. The advent of smart specialisation, which focuses on regional diversification across sectors, offers considerable and hitherto largely unrealized potential for developing innovative tourism policies within this new agenda. This paper addresses the understudied concept of tourism diversification and its unrealized relevance to smart specialisation, which has emerged as a mainstre...

  15. Mothers' daily person and process praise: implications for children's theory of intelligence and motivation.

    Science.gov (United States)

    Pomerantz, Eva M; Kempner, Sara G

    2013-11-01

    This research examined if mothers' day-to-day praise of children's success in school plays a role in children's theory of intelligence and motivation. Participants were 120 children (mean age = 10.23 years) and their mothers who took part in a 2-wave study spanning 6 months. During the first wave, mothers completed a 10-day daily interview in which they reported on their use of person (e.g., "You are smart") and process (e.g., "You tried hard") praise. Children's entity theory of intelligence and preference for challenge in school were assessed with surveys at both waves. Mothers' person, but not process, praise was predictive of children's theory of intelligence and motivation: The more person praise mothers used, the more children subsequently held an entity theory of intelligence and avoided challenge over and above their earlier functioning on these dimensions.

  16. Smart learning services based on smart cloud computing.

    Science.gov (United States)

    Kim, Svetlana; Song, Su-Mi; Yoon, Yong-Ik

    2011-01-01

    Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user's behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S)--smart pull, smart prospect, smart content, and smart push--concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users' needs by collecting and analyzing users' behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users' behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users.

  17. Smart Learning Services Based on Smart Cloud Computing

    Directory of Open Access Journals (Sweden)

    Yong-Ik Yoon

    2011-08-01

    Full Text Available Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that understands context as well. The context-awareness in e-learning may include the awareness of user profile and terminal context. In this paper, we propose a new notion of service that provides context-awareness to smart learning content in a cloud computing environment. We suggest the elastic four smarts (E4S—smart pull, smart prospect, smart content, and smart push—concept to the cloud services so smart learning services are possible. The E4S focuses on meeting the users’ needs by collecting and analyzing users’ behavior, prospecting future services, building corresponding contents, and delivering the contents through cloud computing environment. Users’ behavior can be collected through mobile devices such as smart phones that have built-in sensors. As results, the proposed smart e-learning model in cloud computing environment provides personalized and customized learning services to its users.

  18. Smart city – future city? smart city 20 as a livable city and future market

    CERN Document Server

    Etezadzadeh, Chirine

    2016-01-01

    The concept of a livable smart city presented in this book highlights the relevance of the functionality and integrated resilience of viable cities of the future. It critically examines the progressive digitalization that is taking place and identifies the revolutionized energy sector as the basis of urban life. The concept is based on people and their natural environment, resulting in a broader definition of sustainability and an expanded product theory. Smart City 2.0 offers its residents many opportunities and is an attractive future market for innovative products and services. However, it presents numerous challenges for stakeholders and product developers.

  19. A Survey on Ambient Intelligence in Health Care.

    Science.gov (United States)

    Acampora, Giovanni; Cook, Diane J; Rashidi, Parisa; Vasilakos, Athanasios V

    2013-12-01

    Ambient Intelligence (AmI) is a new paradigm in information technology aimed at empowering people's capabilities by the means of digital environments that are sensitive, adaptive, and responsive to human needs, habits, gestures, and emotions. This futuristic vision of daily environment will enable innovative human-machine interactions characterized by pervasive, unobtrusive and anticipatory communications. Such innovative interaction paradigms make ambient intelligence technology a suitable candidate for developing various real life solutions, including in the health care domain. This survey will discuss the emergence of ambient intelligence (AmI) techniques in the health care domain, in order to provide the research community with the necessary background. We will examine the infrastructure and technology required for achieving the vision of ambient intelligence, such as smart environments and wearable medical devices. We will summarize of the state of the art artificial intelligence methodologies used for developing AmI system in the health care domain, including various learning techniques (for learning from user interaction), reasoning techniques (for reasoning about users' goals and intensions) and planning techniques (for planning activities and interactions). We will also discuss how AmI technology might support people affected by various physical or mental disabilities or chronic disease. Finally, we will point to some of the successful case studies in the area and we will look at the current and future challenges to draw upon the possible future research paths.

  20. Smarter energy from smart metering to the smart grid

    CERN Document Server

    Sun, Hongjian; Poor, H Vincent; Carpanini, Laurence; Fornié, Miguel Angel Sánchez

    2016-01-01

    This book presents cutting-edge perspectives and research results in smart energy spanning multiple disciplines across four main topics: smart metering, smart grid modeling, control and optimisation, and smart grid communications and networking.

  1. The smart grid research network: Road map for Smart Grid research, development and demonstration up to 2020

    Energy Technology Data Exchange (ETDEWEB)

    Troi, A. [Technical Univ. of Denmark. DTU Electrical Engineering, DTU Risoe Campus, Roskilde (Denmark); Noerregaard Joergensen, B. [Syddansk Univ. (SDU), Odense (Denmark); Mahler Larsen, E. [Technical Univ. of Denmark. DTU Electrical Engineering, Kgs. Lyngby (Denmark)] [and others

    2013-01-15

    This road map is a result of part-recommendation no. 25 in 'MAIN REPORT - The Smart Grid Network's recommendations', written by the Smart Grid Network for the Danish Ministry of Climate, Energy and Building in October 2011. This part-recommendation states: ''Part-recommendation 25 - A road map for Smart Grid research, development and demonstration It is recommended that the electricity sector invite the Ministry to participate in the creation of a road map to ensure that solutions are implemented and coordinated with related policy areas. The sector should also establish a fast-acting working group with representatives from universities, distribution companies and the electric industry, in order to produce a mutual, binding schedule for the RDD of the Smart Grid in Denmark. Time prioritisation of part-recommendation: 2011-2012 Responsibility for implementation of part-recommendation: Universities, along with relevant electric-industry actors, should establish a working group for the completion of a consolidated road map by the end of 2012.'' In its work on this report, the Smart Grid Research Network has focused particularly on part-recommendations 26, 27 and 28 in 'MAIN REPORT - The Smart Grid Network's recommendations', which relate to strengthening and marketing the research infrastructure that will position Denmark as the global hub for Smart Grid development; strengthening basic research into the complex relationships in electric systems with large quantities of independent parties; and improved understanding of consumer behaviour and social economics. Naturally the work has spread to related areas along the way. The work has been conducted by the Smart Grid Research Network. (Author)

  2. Biorefineries - New Green Strategy For Development Of Smart And Innovative Industry

    Science.gov (United States)

    Płaza, Grażyna A.; Wandzich, Dorota

    2016-09-01

    Ecological engineering or ecotechnology is defined as the design of sustainable production that integrate human society with the natural environment for the benefit of both. In order to reach the goal of sustainability therefore important that bioproduct production systems are converted from to natural cycle oriented. In natural cycles there are not waste, but products are generated at different stages of the cycle. The ecotechnology creates a sustainable bioeconomy using biomass in a smart and efficient way. The biorefining sector, which uses smart, innovative and efficient technologies to convert biomass feedstocks into a range of bio-based products including fuels, chemicals, power, food, and renewable oils, currently presents the innovative and efficient bio-based production can revitalize existing industries. The paper presents the concept of biorefinery as the ecotechnological approach for creating a sustainable bioeconomy using biomass in a smart and efficient way.

  3. On the Nature and Nurture of Intelligence and Specific Cognitive Abilities: The More Heritable, the More Culture Dependent

    NARCIS (Netherlands)

    Kan, K.J.; Wicherts, J.M.; Dolan, C.V.; van der Maas, H.L.J.

    2013-01-01

    To further knowledge concerning the nature and nurture of intelligence, we scrutinized how heritability coefficients vary across specific cognitive abilities both theoretically and empirically. Data from 23 twin studies (combined N = 7,852) showed that (a) in adult samples, culture-loaded subtests

  4. On the nature and nurture of intelligence and specific cognitive abilities : The more heritable, the more culture dependent

    NARCIS (Netherlands)

    Kan, K.J.; Wicherts, J.M.; Dolan, C.; van der Maas, H.L.J.

    2013-01-01

    To further knowledge concerning the nature and nurture of intelligence, we scrutinized how heritability coefficients vary across specific cognitive abilities both theoretically and empirically. Data from 23 twin studies (combined N = 7,852) showed that (a) in adult samples, culture-loaded subtests

  5. Intelligent assistive robots recent advances in assistive robotics for everyday activities

    CERN Document Server

    Moreno, Juan; Kong, Kyoungchul; Amirat, Yacine

    2015-01-01

    This book deals with the growing challenges of using assistive robots in our everyday activities along with providing intelligent assistive services. The presented applications concern mainly healthcare and wellness such as helping elderly people, assisting dependent persons, habitat monitoring in smart environments, well-being, security, etc. These applications reveal also new challenges regarding control theory, mechanical design, mechatronics, portability, acceptability, scalability, security, etc.  

  6. Encyclopedia of Smart Materials, 2 Volume Set

    Science.gov (United States)

    Schwartz, Mel

    2002-03-01

    Smart materials--materials and structures that can impart information about their environment to an observer or monitoring device--are revolutionizing fields as diverse as engineering, optics, and medical technology. Advances in smart materials are impacting disciplines across the scientific and technological landscape. Now, practictioners and researchers have an authoritative source to go to for answers about this emerging new area. Encyclopedia of Smart Materials provides A-to-Z coverage of the entire field of intelligent materials. Discussions of theory, fabrication, processing, applications, and uses of these unique materials are presented here in a collection of concise entries from the world's foremost experts in the field--including scientists, educators and engineers. This encyclopedia is as broad in scope as the technology itself, addressing daily, commercial applications as well as sophisticated units designed to operate in space, underwater, underground, and within the human body. Extensively cross-referenced and generously supplemented with bibliographies and indexes, this book's treatment also broaches the specialized properties and coatings that are required for the use of materials in extreme conditions. Illustrated with photographs, tables, line drawings, and equations, Encyclopedia of Smart Materials is the premier reference for material scientists, chemists, chemical engineers, process engineers, consultants, patent attorneys and students in these areas. An essential resource on the shelves of laboratories, government facilities, and academic libraries. Editor-in-Chief, Mel Schwartz has over forty years of experience with metals, ceramics, and composites, with special expertise in brazing. The holder of five patents, he has authored thirteen books and more than one hundred technical papers and articles. Reach the information you need rapidly and easily with the ONLINE edition of the Encyclopedia of Smart Materials. The online edition delivers all

  7. 'Change4Life Smart Swaps': quasi-experimental evaluation of a natural experiment.

    Science.gov (United States)

    Wrieden, Wendy L; Levy, Louis B

    2016-09-01

    To evaluate the impact on food purchasing behaviour of the 'Change4Life Smart Swaps' campaign to encourage families to make small changes to lower-fat or lower-sugar versions of commonly eaten foods and drinks. Quasi-experimental study comparing the proportion of swaps made by an intervention group (267 families who had signed up to the 'Smart Swaps' campaign promoted through various media, including television and radio advertising in early 2014) and a comparison group (135 families resident in Wales, signed up for 'Change4Life' materials, but not directly exposed to the 'Smart Swaps' campaign). During weeks 1, 2 and 3 of the campaign participants were asked to record their purchases of dairy products, carbonated drinks and breakfast cereals, using a mobile phone app questionnaire, when making a purchase within the category. England and Wales. Families registered with 'Change4Life'. In weeks 2 and 3 a significantly higher percentage of the intervention group had made 'smart swaps' than the comparison group. After week 3, 58 % of participants had swapped to a lower-fat dairy product compared with 26 % of the comparison group (Ppurchased a lower-sugar drink compared with 19 % of the comparison group (P=0·01), and 24 % had made a change to a lower-sugar cereal compared with 12 % of the comparison group (P=0·009). In the short term a national campaign to change purchase habits towards healthier products may have some merit but the sustainability of change requires further investigation.

  8. Overall system design for the Spill Modelling Artificial Reasoning Technology system (SMART)

    International Nuclear Information System (INIS)

    Huang, S.

    1992-07-01

    A project was initiated to develop an intelligent computer system to assist spill emergency personnel and spill specialists in predicting and analyzing spills as well as their environmental impacts. The system, called SMART, is described, including system objectives, functionality, operational modes, system components and the functionality of each, and data communications between components. SMART is intended to provide the following five general functions: a user-friendly interface, comprehensive inference capability, analytical capability including the ability to predict concentrations and distances of a spill occurrence, knowledge management, convenient input, and multi-form output. The types of knowledge managed in SMART include the heuristic rules needed in the reasoning of spill prediction and impacts on the environment, as well as factual knowledge contained in existing external databases accessed through a database loader. More specifically, the heuristic knowledge comprises such topics as substance behavior, environmental interactions of substances, and the container or transportation vessel. The external databases include a chemical database on fundamental substance characteristics, an environmental database, and a spatial database managed in a geographic information system. 9 refs., 82 figs

  9. An overview of distributed microgrid state estimation and control for smart grids.

    Science.gov (United States)

    Rana, Md Masud; Li, Li

    2015-02-12

    Given the significant concerns regarding carbon emission from the fossil fuels, global warming and energy crisis, the renewable distributed energy resources (DERs) are going to be integrated in the smart grid. This grid can spread the intelligence of the energy distribution and control system from the central unit to the long-distance remote areas, thus enabling accurate state estimation (SE) and wide-area real-time monitoring of these intermittent energy sources. In contrast to the traditional methods of SE, this paper proposes a novel accuracy dependent Kalman filter (KF) based microgrid SE for the smart grid that uses typical communication systems. Then this article proposes a discrete-time linear quadratic regulation to control the state deviations of the microgrid incorporating multiple DERs. Therefore, integrating these two approaches with application to the smart grid forms a novel contributions in green energy and control research communities. Finally, the simulation results show that the proposed KF based microgrid SE and control algorithm provides an accurate SE and control compared with the existing method.

  10. An Overview of Distributed Microgrid State Estimation and Control for Smart Grids

    Science.gov (United States)

    Rana, Md Masud; Li, Li

    2015-01-01

    Given the significant concerns regarding carbon emission from the fossil fuels, global warming and energy crisis, the renewable distributed energy resources (DERs) are going to be integrated in the smart grid. This grid can spread the intelligence of the energy distribution and control system from the central unit to the long-distance remote areas, thus enabling accurate state estimation (SE) and wide-area real-time monitoring of these intermittent energy sources. In contrast to the traditional methods of SE, this paper proposes a novel accuracy dependent Kalman filter (KF) based microgrid SE for the smart grid that uses typical communication systems. Then this article proposes a discrete-time linear quadratic regulation to control the state deviations of the microgrid incorporating multiple DERs. Therefore, integrating these two approaches with application to the smart grid forms a novel contributions in green energy and control research communities. Finally, the simulation results show that the proposed KF based microgrid SE and control algorithm provides an accurate SE and control compared with the existing method. PMID:25686316

  11. Challenging 'smart' in smart city strategies

    DEFF Research Database (Denmark)

    Sandvik, Kjetil; Knudsen, Jacob

    and development. Focusing on processes of citizen participation and co-creation as the main driving force, we introduce a concept of 'smart city at eye level'. The introduction of new media technology and new media uses need to emerge from a profound understanding of the wants, needs and abilities of the citizens......Smart city strategies concern the improvement of economic and political efficiency and the enabling of social, cultural and urban development (Hollands 2008) and covers a variety of fields from improving infrastructures, social and cultural development, resilience strategies (e.g. green energy......), improving schools, social welfare institutions, public and private institutions etc. The 'smart' in smart city strategies implies that these efforts are accomplished by the introduction and embedding of smart media technology into the very fabric of society. This is often done in a top-down and technology...

  12. Sensor Technologies for Intelligent Transportation Systems.

    Science.gov (United States)

    Guerrero-Ibáñez, Juan; Zeadally, Sherali; Contreras-Castillo, Juan

    2018-04-16

    Modern society faces serious problems with transportation systems, including but not limited to traffic congestion, safety, and pollution. Information communication technologies have gained increasing attention and importance in modern transportation systems. Automotive manufacturers are developing in-vehicle sensors and their applications in different areas including safety, traffic management, and infotainment. Government institutions are implementing roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. By seamlessly integrating vehicles and sensing devices, their sensing and communication capabilities can be leveraged to achieve smart and intelligent transportation systems. We discuss how sensor technology can be integrated with the transportation infrastructure to achieve a sustainable Intelligent Transportation System (ITS) and how safety, traffic control and infotainment applications can benefit from multiple sensors deployed in different elements of an ITS. Finally, we discuss some of the challenges that need to be addressed to enable a fully operational and cooperative ITS environment.

  13. Sensor Technologies for Intelligent Transportation Systems

    Science.gov (United States)

    Guerrero-Ibáñez, Juan; Zeadally, Sherali

    2018-01-01

    Modern society faces serious problems with transportation systems, including but not limited to traffic congestion, safety, and pollution. Information communication technologies have gained increasing attention and importance in modern transportation systems. Automotive manufacturers are developing in-vehicle sensors and their applications in different areas including safety, traffic management, and infotainment. Government institutions are implementing roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. By seamlessly integrating vehicles and sensing devices, their sensing and communication capabilities can be leveraged to achieve smart and intelligent transportation systems. We discuss how sensor technology can be integrated with the transportation infrastructure to achieve a sustainable Intelligent Transportation System (ITS) and how safety, traffic control and infotainment applications can benefit from multiple sensors deployed in different elements of an ITS. Finally, we discuss some of the challenges that need to be addressed to enable a fully operational and cooperative ITS environment. PMID:29659524

  14. Sensor Technologies for Intelligent Transportation Systems

    Directory of Open Access Journals (Sweden)

    Juan Guerrero-Ibáñez

    2018-04-01

    Full Text Available Modern society faces serious problems with transportation systems, including but not limited to traffic congestion, safety, and pollution. Information communication technologies have gained increasing attention and importance in modern transportation systems. Automotive manufacturers are developing in-vehicle sensors and their applications in different areas including safety, traffic management, and infotainment. Government institutions are implementing roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. By seamlessly integrating vehicles and sensing devices, their sensing and communication capabilities can be leveraged to achieve smart and intelligent transportation systems. We discuss how sensor technology can be integrated with the transportation infrastructure to achieve a sustainable Intelligent Transportation System (ITS and how safety, traffic control and infotainment applications can benefit from multiple sensors deployed in different elements of an ITS. Finally, we discuss some of the challenges that need to be addressed to enable a fully operational and cooperative ITS environment.

  15. Smart electric grids in the United Kingdom energy strategy; Les reseaux electriques intelligents dans la strategie energetique du Royaume-Uni

    Energy Technology Data Exchange (ETDEWEB)

    Gloaguen, Olivier [Ambassade de France au Royaume-Uni, Service de presse, 58 Knightsbridge, London SW1X 7JT (United Kingdom); Dreyfus, Charles-Antoine [Ecole des Mines de Paris - MINES Paris Tech, 60, Boulevard Saint-Michel 75272 Paris cedex 06 (France)

    2011-09-15

    This study first gives an overview of the current status and limitations of the British power grid. It indicates the British energy mix, describes the network structure and its economic operation (gross and retail market with the bid and offer system, role of the System Operator, ways to increase the electricity production). It presents the energy policy and its regulation framework, outlines the current limitations and challenges (ageing grid, power crunch, de-carbonation challenges). It presents the development of a smart grid as a solution to economy de-carbonation challenges: definition of the 'smart grid concept', smart grid development planning (from 2010 to 2050), technological transition associated with smart electric grid development (a cleaner but more intermittent and random electricity production, better use of fossil fuels, electric energy storage, consequences for the grid, introduction and effects of smart meters). It describes the new associated economic model: evolution of the value chain, financial challenges (required investments, expected benefits, subsidies), new regulation system. It addresses the strategic challenges and the various uncertainties (notably in terms of consumption, privacy issue in relation with the use of smart meters, and project implementation).

  16. Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interaction

    Science.gov (United States)

    Rohrer, Brandon

    2010-12-01

    Measuring progress in the field of Artificial General Intelligence (AGI) can be difficult without commonly accepted methods of evaluation. An AGI benchmark would allow evaluation and comparison of the many computational intelligence algorithms that have been developed. In this paper I propose that a benchmark for natural world interaction would possess seven key characteristics: fitness, breadth, specificity, low cost, simplicity, range, and task focus. I also outline two benchmark examples that meet most of these criteria. In the first, the direction task, a human coach directs a machine to perform a novel task in an unfamiliar environment. The direction task is extremely broad, but may be idealistic. In the second, the AGI battery, AGI candidates are evaluated based on their performance on a collection of more specific tasks. The AGI battery is designed to be appropriate to the capabilities of currently existing systems. Both the direction task and the AGI battery would require further definition before implementing. The paper concludes with a description of a task that might be included in the AGI battery: the search and retrieve task.

  17. Smart Grid – a Slogan or a Necessity?

    Directory of Open Access Journals (Sweden)

    Zbigniew Szczerba

    2014-12-01

    Full Text Available The use of the terms “smart grid” and “intelligent power networks” should be limited to economically valid technological developments. This paper presents two electrical energy related “sets of elements”: an electric power system as an integrated set and a distributed set consisting of plug-in hybrid vehicles, such as passenger cars. As plug-in hybrid vehicles are becoming more and more popular, this paper introduces a concept of integrating such vehicles with the electric power system. A quantitative assessment of the benefits for the car owners and the electrical power system has been presented.

  18. The implementation of the ''Smart Grid'' - preached but not practised; Die Realisierung des ''Smart Grids''. In aller Munde, aber nicht in der Umsetzung

    Energy Technology Data Exchange (ETDEWEB)

    Augenstein, Friedrich [Duale Hochschule Baden-Wuerttemberg, Stuttgart (Germany). Bereich BWL-Dienstleistungsmanagement; Einhellig, Ludwig; Kohl, Ingmar [Deloitte, Muenchen (Germany)

    2011-07-15

    The development of smart power grids is still in its infancy in Germany, in spite of extensive pilot programmes, competition from foreign power suppliers as well as unanimous opinion among experts that there is no way around them. Although a legal obligations has existed since the beginning of this year to offer ''variable-load'' tariffs, and despite their being desired by the political realm and having been laid down in the Energy Concept of the Federal Government, lack of consumer demand has so far inhibited the development of intelligent grids. But is it really because of the consumer, or is it more due to other parameters that Germany is threatening to lose the race in smart grid technology.

  19. Smart nanomaterials for biomedics.

    Science.gov (United States)

    Choi, Soonmo; Tripathi, Anuj; Singh, Deepti

    2014-10-01

    Nanotechnology has become important in various disciplines of technology and science. It has proven to be a potential candidate for various applications ranging from biosensors to the delivery of genes and therapeutic agents to tissue engineering. Scaffolds for every application can be tailor made to have the appropriate physicochemical properties that will influence the in vivo system in the desired way. For highly sensitive and precise detection of specific signals or pathogenic markers, or for sensing the levels of particular analytes, fabricating target-specific nanomaterials can be very useful. Multi-functional nano-devices can be fabricated using different approaches to achieve multi-directional patterning in a scaffold with the ability to alter topographical cues at scale of less than or equal to 100 nm. Smart nanomaterials are made to understand the surrounding environment and act accordingly by either protecting the drug in hostile conditions or releasing the "payload" at the intended intracellular target site. All of this is achieved by exploiting polymers for their functional groups or incorporating conducting materials into a natural biopolymer to obtain a "smart material" that can be used for detection of circulating tumor cells, detection of differences in the body analytes, or repair of damaged tissue by acting as a cell culture scaffold. Nanotechnology has changed the nature of diagnosis and treatment in the biomedical field, and this review aims to bring together the most recent advances in smart nanomaterials.

  20. A Trusted Smart Phone and Its Applications in Electronic Payment

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    With the growing intelligence and popularity of mobile phones, and the trend of cellular network's convergence to IP based network, more and more mobile applications emerge on the market. For mission critical applications, like the electronic payment which will be discussed in this paper, the lack of trust in the underlying mobile infrastructure and secure interface to legacy systems (for this case, the banking systems) poses obstacles to their widespread presence in mobile services. Recently, the exposure of hacking of iPhone and other smart phones further emphasizes the criticality of establishing a trust platform for mobile applications. This paper analyzes the building blocks of the trusted smart phone, and proposes a framework to provide a trusted platform for mobile electronic payment. Such a proposed system may allow direct interface to the banking systems due to the banking industry recognized strong security, and hence, may enable its widespread use.