Service Oriented Smart Sustainable City Architecture

In present world development of a country is measured in terms of the communication technology infrastructure of that Country. Information communication technology(ICT) is not  limited to internet usage and mere interconnection of  connecting devices now .but has advanced deep into the major transaction  of our day-to-day operations almost in every aspect of  livelihood be it a health care, personnel, economic transaction, Industry, monitoring ,environment protection or automation process. This has given rise to apt number of concepts and disciplines in the field of ICT. The concept of smart city is one of the outcome of our endeavour to use ICT to its full. Smart cities, which will lead to smart nations and ultimately smart world is the discipline which needs due attention from the researchers, engineering and policy makers. Architecture of the Smart city forms the basis of this concept, which is yet to get the final standard. In this paper an Architecture is proposed which is generic and almost covers most of issues to achieve the goal of smart cities. Keywords: Smart sustainable city, Internet of Things (IOT), Security, Information Communication Technology (ICT

A Personalized System for Conversational Recommendations

Searching for and making decisions about information is becoming increasingly difficult as the amount of information and number of choices increases. Recommendation systems help users find items of interest of a particular type, such as movies or restaurants, but are still somewhat awkward to use. Our solution is to take advantage of the complementary strengths of personalized recommendation systems and dialogue systems, creating personalized aides. We present a system -- the Adaptive Place Advisor -- that treats item selection as an interactive, conversational process, with the program inquiring about item attributes and the user responding. Individual, long-term user preferences are unobtrusively obtained in the course of normal recommendation dialogues and used to direct future conversations with the same user. We present a novel user model that influences both item search and the questions asked during a conversation. We demonstrate the effectiveness of our system in significantly reducing the time and number of interactions required to find a satisfactory item, as compared to a control group of users interacting with a non-adaptive version of the system

Knowledge Discovery and Data Mining (KDDM) survey report.

The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request

INFORMATION SEEKING BEHAVIOR: THE EFFECTS OF RELATIONALISM ON THE SELECTION OF INFORMATION SOURCES

In a world where \u27Google\u27 is a verb, this research asks the question \u27what influences an individual\u27s decision to select one information source over another?\u27 Previous works have discussed relational versus nonrelational information sources (Rulke, Zaheer, & Anderson, 2000). Other research focuses on the information quality (O\u27Reilly, 1982), source accessibility (Culnan, 1984, 1985), or source richness (Daft, Lengel, & Trevino, 1987; Daft & Macintosh, 1981) but all these prior works do not address the social aspects of information sources. This research defines and develops the construct of relationalism which is reflective of the social aspects of information sources. An important argument put forth in this work is that individuals will interact differently with a source based on its relationalism. Communication literature suggests that an individual will respond socially to another\u27s social invitation even if the \u27other\u27 is actually an inanimate object (Nass & Moon, 2000). For example, individuals responded to social cues given by a robot no differently than the same social cues from a three-year-old child. To investigate source selection this research uses two experiments and a survey. The experimental approach allows for a high level of control over the task design and other extraneous influences. The survey methodology utilizes knowledge workers in business organizations, and examines the profiles of sources used in a realistic work setting. While the experimental design improves the internal validity of the model, the survey approach allows for a superior assessment of the external validity. Such methodological triangulation provides for a robust testing of the model and greater confidence in its emerging prescriptions. The first experiment investigates the antecedents to relationalism. Objective design characteristics were found to be positively related to relationalism. Furthermore a socially oriented factor was also related to relationalism. The second experiment investigated the relationship between relationalism and source selection. This experiment also included task effects and controlled for personality variables. The relationship between relationalism and source selection depended on the nature of the task with more complex tasks indicating a stronger preference for higher relationalism sources. The findings from the survey of knowledge workers largely corroborated the findings from the experiments though some differences were seen. From the experimental and survey results implications for research and practice are developed. Further this research contributes to a deeper understanding of information source selection in a modern IT-enabled environment