Questo lavoro presenta uno studio comparativo dei principali caratteri della terminologia specialistica della Smart City in lingua francese, italiana e inglese, e si propone di approfondire la conoscenza dell’ambito disciplinare in analisi. Viene adottato un modello descrittivo ampio, fondato su diversi approcci metodologici. Lo studio è articolato in tre parti, precedute da una premessa dedicata all’analisi diacronica del termine urbanisme. La prima sezione ha lo scopo di delineare e definire il concetto di Smart City, con particolare riguardo alle motivazioni dell’emergere di tale modello urbano all’inizio del XXI secolo, ai principali soggetti coinvolti nella sua realizzazione e al contenuto semantico-retorico che nel tempo ha acquisito l’aggettivo smart, epiteto tutt’altro che neutro o alla moda. Successivamente vengono esaminate la neologia specialistica e le politiche linguistiche romanze: dopo i riferimenti teorici, si procede alla verifica delle potenzialità neologiche delle lingue francese e italiana in relazione alle neoformazioni inglesi nel settore specifico della Smart City. Infine, la terza parte è dedicata alla costruzione di una risorsa terminologica – un glossario plurilingue, allegato al lavoro – intesa come contributo alla definizione e alla divulgazione del concetto di Smart City. In conclusione, si ripercorrono i risultati salienti della ricerca e si delineano ulteriori prospettive di indagine. / This work presents a comparative study of the main features of Smart City terminology in French, Italian and English, and it aims at deepening the knowledge of the disciplinary field analysed. A broad descriptive model is adopted, based on several methodological approaches. The study is divided into three parts, preceded by a preface with the diachronic analysis of the French term urbanisme. The first section aims at outlining and defining the Smart City concept, with particular emphasis on the causes of the emergence of this urban model at the beginning of the 21st century, its main stakeholders, and the semantic-rhetoric content of the adjective smart, which is far from being a neutral or fashionable label. Then, terminological neology and normalization in the Romance languages are investigated: the theoretical framework is followed by the study of the neological potential of French and Italian compared to the new English terms appearing in the Smart City domain. Finally, the third part focuses on realizing a terminological resource – a multilingual glossary, in annex – which is designed as a contribution to the definition and dissemination of the Smart City concept. The conclusion includes the main research outcomes and further perspectives of study.

International Telemetering Conference Proceedings / October 21, 2002 / Town & Country Hotel and Conference Center, San Diego, California / Replacing and maintaining sensors in existing legacy systems is costly and time consuming since no information beyond voltage or current is supplied by these sensors. When a sensor is replaced or added, information for that sensor has to be incorporated by the software programmer into the main system software – a costly and time-consuming process. A method has been developed to give these old sensors the intelligence to meet the requirements of the proposed IEEE P1451.3 standard. This is accomplished with no changes to the legacy hardware and a minor, one time change to the legacy main system software.

ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada / New technologies are sought to meet the requirements of evolving telemetry capabilities such as new operating bands, increased test article and ground segment collaboration, and on-the-fly quality of service (QOS) management. Smart antennas may contribute to this evolution by directing signal energy where and when it is needed. Direct spatial antenna modulation (DSAM) represents a new approach to cost-effective smart antennas potentially offering benefits such as post-amplifier modulation, polarization reconfigurability, phase-shifterless phased arrays, oscillator-less frequency conversion, and pre-receiver processing gain. The basic DSAM approach has recently been proven through analysis, simulation, and prototyping, with significant implications for future capabilities.

The IEC Common Information Model (CIM) is of central importance in enabling smart grid interoperability. Its continual development aims to meet the needs of the smart grid for semantic understanding and knowledge representation for a widening domain of resources and processes. With smart grid evolution the importance of information and data management has become an increasingly pressing issue not only because far more data is being generated using modern sensing, control and measuring devices but also because information is now becoming recognised as the ‘integral component’ that facilitates the optimal flexibility required of the smart grid. This thesis looks at the impacts of CIM implementation upon the landscape of smart grid issues and presents research from within National Grid contributing to three key areas in support of further CIM deployment. Taking the issue of Enterprise Information Management first, an information management framework is presented for CIM deployment at National Grid. Following this the development and demonstration of a novel secure cloud computing platform to handle such information is described. Power system application (PSA) models of the grid are partial knowledge representations of a shared reality. To develop the completeness of our understanding of this reality it is necessary to combine these representations. The second research contribution reports on a novel methodology for a CIM-based model repository to align PSA representations and provide a knowledge resource for building utility business intelligence of the grid. The third contribution addresses the need for greater integration of information relating to energy storage, an essential aspect of smart energy management. It presents the strategic rationale for integrated energy modeling and a novel extension to the existing CIM standards for modeling grid-scale energy storage. Significantly, this work has already contributed to a larger body of work on modeling Distributed Energy Resources currently under development at the Electric Power Research Institute (EPRI) in the USA.

Smart mobile devices are becoming increasingly essential daily companions. Applications (apps) are the interface through which the consumer can leverage unique capabilities of smart mobile devices to interact with people, other devices and firms via the supporting mobile ecosystem. Smart mobile devices and apps are influencing how competition is defined and changing how firms do business by improving internal processes and increasing flexibility and convenience for customers. Mobile apps and devices enable users to move from a portable and mobile communication and computing environment to that of a ubiquitous communication and computing environment [u-space]. Discussion in terms of ‘mobile marketing’ is therefore too limiting, our understanding should be ‘ubiquitous marketing’. Six papers explore ubiquitous marketing further. The retail sector provides a contextual setting for paper one and finds that mobile marketing increases value for retailers and consumers. Integration of all retailer / consumer interfaces with mobile marketing to maximise exposure and connectivity between both parties is recommended. Paper two investigates the sources for mobile app ideas in companies and finds that apps developed externally or within the firm with some outside help, were perceived to be more effective. Apps that leverage the mobile devices unique features is central to the methodology proposed for developing an app in paper three. The next three papers examine the impact that mobile apps and devices have on business activities and customer relationships. Paper four finds increased operational efficiency in a Dental  Practice, while paper five identified the opportunity for increased firm-customer interaction in a medical context. Paper six determines that rather than five dimensions of SERVQUAL, financial service quality of apps consists of three dimensions: Reliability, personal and visibles; and that service success can be derived from providing less service. This thesis contributes to a fuller understanding of U-commerce theory. It advances understanding in how apps are making significant changes in how information technology is managed and controlled from an organisational perspective, and how these technology advances can influence consumer interaction. / <p>QC 20160516</p>

Climate change studies and examinations of increasing sea levels and temperatures show storm intensity and frequency are increasing. As these storms are increasing in intensity and frequency, the effects of these storms must be monitored to determine the probable damages or impacts to critical infrastructure [2, 35]. These storms suddenly create new demands and requirements upon already stressed critical infrastructure sectors [1]. A combined and interdisciplinary effort must be made to identify these stresses and to mitigate any failures. This effort is needed so that the 21st Century Smart Grid is robust and resilient enough to ensure that the grid is secured against all hazards. This project focuses on anticipating loss of above ground electrical power due to extreme wind speeds. This thesis selected a study region of Indiana, Illinois, Kentucky, and Tennessee to investigate the skill of fragility curve generation for this region, during Hurricane Irene, in the Fall of 2011. Three published fragility techniques are compared within the Midwest study region to determine the best skilled technique for the low wind speeds experienced in this region in August 2011. The three techniques studied are: 1) Powerline Technique [6], a correlation between “as published” state based construction standards and surface wind speeds sustained for greater than one minute; 2) the ANL Headout Technique [37], a correlation of Hurricane Irene three second wind gusts with DOE situation reports of outages; and 3) the Walker Technique [1], a correlation of utility reported outages in the Eastern Seaboard counties with three second surface gusts. The deliverable outcomes for this project include: 1) metrics for determining the method best for the study region, from the archival data during Hurricane Irene timeframe; 2) a fragility curve methodology description for each technique; and 3) a mathematical representation for each technique suitable for inclusion in automated forecast algorithms. Overall, this project combines situational awareness modeling to provide distinct fragility techniques that can be used by the public and private sectors to improve emergency management, restoration processes, and critical infrastructure all-hands-preparedness. This work was supported by Western Kentucky University (WKU) and the National Oceanic Atmospheric Administration (NOAA)

Electronic textiles (e­‐textiles) are created by the amalgamation of electronics and textiles, where electronics are integrated into or onto fabric substrates. Woven textiles are specifically considered in this thesis to integrate electronics into textiles' orthogonal architecture. This thesis investigates 'How can the weaving process be manipulated to make woven e-­textiles with integrated electronics?' The methodological approach taken is practice based research carried out via a technical materials approach and creative craft methods. An investigation of woven e-­textiles through design led practice and woven expertise is presented. Previously, woven e-­textiles have been investigated either via technical material approaches, (where the main emphasis remains on function) or via creative craft methods, (which emphasise experimental forms, manipulate integration methods and apply craft based knowledge). Both of these approaches have presented only limited investigation of unobtrusive integrated electronics in woven e-­textiles, and woven structures have not been fully utilised to support the integration. The research applies reflective practice through a design process model; this is based on the researcher's previous weaving expertise and designing methods. The work investigates how woven construction may be manipulated to develop novel integrated woven e-­textiles. It was found that five woven approaches were particularly of value for electronics integration. These were the use of double cloth, the integration of multiple functions into the textiles as part of the weaving, the use of complex weaving techniques to attach and integrate components, the use of inlay weft weaving and the manipulation of floats (free floating threads). The thesis makes original contributions to knowledge, including identification of key stages in the woven e-­textile design process, identification and application of advanced weaving techniques to facilitate integrated woven e-­textiles, and compilation of a systematic record of woven e-­‐textile techniques as a technical woven repository. Underpinning design principles that influence the developed e-­textile outcomes are identified. A range of woven e-­textile samples are designed and made. Three specific examples including an actuator ('RGB colour mixer'), a circuit ('corrugated pleat LED v2') and a soft module ('battery holder module v4'), are described in detail to illustrate their development using the e-­textile design process model. The knowledge gained has potential to be applied to industrial woven processes for e-­textiles.

The future smart home will be enhanced and driven by the recent advance of the Internet of Things (IoT), which advocates the integration of computational devices within an Internet architecture on a global scale [1, 2]. In the IoT paradigm, the smart home will be developed by interconnecting a plethora of smart objects both inside and outside the home environment [3-5]. The recent take-up of these connected devices within home environments is slowly and surely transforming traditional home living environments. Such connected and integrated home environments lead to the concept of the smart home, which has attracted significant research efforts to enhance the functionality of home environments with a wide range of novel services. The wide availability of services and devices within contemporary smart home environments make their management a challenging and rewarding task. The trend whereby the development of smart home services is decoupled from that of smart home devices increases the complexity of this task. As such, it is desirable that smart home services are developed and deployed independently, rather than pre-bundled with specific devices, although it must be recognised that this is not always practical. Moreover, systems need to facilitate the deployment process and cope with any changes in the target environment after deployment. Maintaining complex smart home systems throughout their lifecycle entails considerable resources and effort. These challenges have stimulated the need for dynamic auto-configurable services amongst such distributed systems. Although significant research has been directed towards achieving auto-configuration, none of the existing solutions is sufficient to achieve auto-configuration within smart home environments. All such solutions are considered incomplete, as they lack the ability to meet all smart home requirements efficiently. These requirements include the ability to adapt flexibly to new and dynamic home environments without direct user intervention. Fulfilling these requirements would enhance the performance of smart home systems and help to address cost-effectiveness, considering the financial implications of the manual configuration of smart home environments. Current configuration approaches fail to meet one or more of the requirements of smart homes. If one of these approaches meets the flexibility criterion, the configuration is either not executed online without affecting the system or requires direct user intervention. In other words, there is no adequate solution to allow smart home systems to adapt dynamically to changing circumstances, hence to enable the correct interconnections among its components without direct user intervention and the interruption of the whole system. Therefore, it is necessary to develop an efficient, adaptive, agile and flexible system that adapts dynamically to each new requirement of the smart home environment. This research aims to devise methods to automate the activities associated with customised service delivery for dynamic home environments by exploiting recent advances in the field of ubiquitous robotics and Semantic Web technologies. It introduces a novel approach called the Knowledge-based Auto-configuration Software Robot (Sobot) for Smart Home Environments, which utilises the Sobot to achieve auto-configuration of the system. The research work was conducted under the Distributed Integrated Care Services and Systems (iCARE) project, which was designed to accomplish and deliver integrated distributed ecosystems with a homecare focus. The auto-configuration Sobot which is the focus of this thesis is a key component of the iCARE project. It will become one of the key enabling technologies for generic smart home environments. It has a profound impact on designing and implementing a high quality system. Its main role is to generate a feasible configuration that meets the given requirements using the knowledgebase of the smart home environment as a core component. The knowledgebase plays a pivotal role in helping the Sobot to automatically select the most appropriate resources in a given context-aware system via semantic searching and matching. Ontology as a technique of knowledgebase representation generally helps to design and develop a specific domain. It is also a key technology for the Semantic Web, which enables a common understanding amongst software agents and people, clarifies the domain assumptions and facilitates the reuse and analysis of its knowledge. The main advantages of the Sobot over traditional applications is its awareness of the changing digital and physical environments and its ability to interpret these changes, extract the relevant contextual data and merge any new information or knowledge. The Sobot is capable of creating new or alternative feasible configurations to meet the system's goal by utilising inferred facts based on the smart home ontological model, so that the system can adapt to the changed environment. Furthermore, the Sobot has the capability to execute the generated reconfiguration plan without interrupting the running of the system. A proof-of-concept testbed has been designed and implemented. The case studies carried out have shown the potential of the proposed approach to achieve flexible and reliable auto-configuration of the smart home system, with promising directions for future research.

Smart home systems (SHS) have become an increasingly important technology in modern life. Apart from safety, security, convenience and entertainment, they offer significant potential benefits for the elderly, disabled and others who cannot live independently. Furthermore, smart homes are environmentally friendly. SHS functionality is based on perceiving residents’ needs and desires, then offering services accordingly. In order to be smart, homes have to be equipped with sensors, actuators and intelligent devices and appliances, as well as connectivity and control mechanisms. A typical SHS comprises heterogeneous services and appliances that are designed by many different developers and which may meet for the first time in the home network. The heterogeneous nature of the systems, in addition to the dynamic environment in which they are deployed, exposes them to undesirable interactions between services, known as Feature Interaction (FI). Another reason for FI is the divergence between the policies, needs and desires of different residents. Proposed approaches to FI detection and resolution should take these different types of interaction into account. Negotiation is an effective mechanism to address FI, as conflicting features can then negotiate with each other to reach a compromise agreement. The ultimate goal of this study is to develop an Agent-Based Negotiation Approach (ABNA) to detect and resolve feature interaction in a SHS. A smart home architecture incorporating the components of the ABNA has been proposed. The backbone of the proposed approach is a hierarchy in which features are organised according to their importance in terms of their functional contribution to the overall service. Thus, features are categorised according to their priority, those which are essential for the service to function having the highest priority. An agent model of the ABNA is proposed and comprehensive definitions of its components are presented. A computational model of the system also has been proposed which is used to explain the behaviour of different components when a proposal to perform a task is raised. To clarify the system requirements and also to aid the design and implementation of its properties, a formal specification of the ABNA is presented using the mathematical notations of Calculus of Context-aware Ambient (CCA), then in order to evaluate the approach a case study is reported, involving two services within the SHS: ventilation and air conditioning. For the purpose of evaluation, the execution environment of CCA is utilised to execute and analyse the ABNA.

Reliability of a piston rod position measurement system is key when applied to large hydraulic cylinders. This and other requirements lead to the development of the CIMS (Cylinder Integrated Measurement System), a contactless and highly accurate system that uses the Hall effect to detect an encoded piston rod. To eliminate deviations caused by mechanical tolerances, temperature and air gap variations etc., the raw signals are filtered and compensated. Its functionality has been extended by making statistical data available, based on the values measured. These include the number of strokes, cumulative stroke length, stroke length distribution, maximum velocity and acceleration, temperature classification and extreme temperatures. Assessment of these data enables the user to optimize his application. Comparison to historic data can give input to the preventive maintenance plan to reduce (unforeseeable) system downtime and to increase the system reliability. This development resulted into the CIMSmart. It is a significant step towards cylinder intelligence.