Perry G. Hartswick

Bio: Perry G. Hartswick is an academic researcher from IBM. The author has contributed to research in topics: Legacy system & Web server. The author has an hindex of 8, co-authored 11 publications receiving 949 citations.

Foundations for smarter cities

Abstract: This paper describes the information technology (IT) foundation and principles for Smarter Cities™. Smarter Cities are urban areas that exploit operational data, such as that arising from traffic congestion, power consumption statistics, and public safety events, to optimize the operation of city services. The foundational concepts are instrumented, interconnected, and intelligent. Instrumented refers to sources of near-real-time real-world data from both physical and virtual sensors. Interconnected means the integration of those data into an enterprise computing platform and the communication of such information among the various city services. Intelligent refers to the inclusion of complex analytics, modeling, optimization, and visualization in the operational business processes to make better operational decisions. This approach enables the adaptation of city services to the behavior of the inhabitants, which permits the optimal use of the available physical infrastructure and resources, for example, in sensing and controlling consumption of energy and water, managing waste processing and transportation systems, and applying optimization to achieve new efficiencies among these resources. Additional roles exist in intelligent interaction between the city and its inhabitants and further contribute to operational efficiency while maintaining or enhancing quality of life.

System and Method For Querying Data Streams

Abstract: A method includes parsing input from a requestor, where the input includes at least one of a query and a command that is parsed into a structured query having an indication of at least one data stream or set of data streams and at least one action to be performed on the at least one data stream or set of data streams. The method further includes mapping the structured query into a graph of processing elements that are selected and interconnected so as to execute the structured query; instantiating the graph of processing elements and connecting and initializing the instantiated graph of processing elements with an identified at least one data stream or set of data streams to receive data there from; and outputting a result of the structured query to the requestor.

Method and system for wireless remote monitoring and control of a manufacturing execution system

Abstract: A method of remotely monitoring and controlling a manufacturing facility through a manufacturing execution system (MES) uses wireless devices connected to a web server through a transcoding proxy. The wireless devices, such as portable digital assistants or cell phones, request information about the manufacturing process from the web server by requesting web pages containing the desired information. The web pages are modified by the transcoding proxy so that they may be correctly displayed on the screen of the wireless device. The MES can also be controlled by a wireless device. The wireless device passes control commands through the transcoding proxy to the web server, which sends them to the MES to control production in the manufacturing facility.

Methodology for migration of legacy applications to new product architectures

Abstract: A method for migrating legacy applications into a new software product architecture using a functional conversion module located within a system controller. The functional conversion module comprises a migration plan shut off. The functional conversion module further comprises three paths or branches through which a functional request can be routed. Functional requests which are not identified in the migration plan are routed through the first path and the functional request is sent to the pre-existing software and executed as requested. Functional requests identified in the migration plan for which the pre-existing software is in control are routed through the second path, and the functional request is sent to the pre-existing software and executed as received. In the background, the functional request is translated for the new software and sent to the new software and executed. Functional requests identified in the migration plan for which the new software is in control are routed through the third path, and the functional request is translated for the new software and sent to the new software and executed. If the pre-existing software has been shut off, the task is complete. If the pre-existing software is not identified as being shut off, the functional request is sent to the pre-existing software and executed as received in the background. Duplicate requests are suppressed by the system controller.

Method and apparatus for implementing custom business logic

Abstract: A manufacturing control system used in the manufacture of semiconductor products. The system has a custom business logic controller which can be used to define and implement custom business logic that departs from the conventional business logic associated with the several elements of the manufacturing control system both rapidly and in real time. The custom business logic controller is implemented by defining desired business logic within the definitional environment of the controller. Where custom business logic is required, the manufacturing control system operates to activate the custom business logic controller, which then proceeds to execute the desired (custom) series of business logic units. Within this series, the custom business logic controller can execute a continuous series of business logic units, or certain business logic units can be executed conditionally, based on the success or failure of a prior business logic unit or units, or based on some other environmental condition. As a result, any new logic can be easily implemented, without requiring any direct changes to be made to the existing (current) systems, and in such a way that there is no negative impact on production.

Smart Cities: Definitions, Dimensions, Performance, and Initiatives

Abstract: As the term “smart city” gains wider and wider currency, there is still confusion about what a smart city is, especially since several similar terms are often used interchangeably. This paper aims to clarify the meaning of the word “smart” in the context of cities through an approach based on an in-depth literature review of relevant studies as well as official documents of international institutions. It also identifies the main dimensions and elements characterizing a smart city. The different metrics of urban smartness are reviewed to show the need for a shared definition of what constitutes a smart city, what are its features, and how it performs in comparison to traditional cities. Furthermore, performance measures and initiatives in a few smart cities are identified.

Understanding Smart Cities: An Integrative Framework

Abstract: Making a city "smart" is emerging as a strategy to mitigate the problems generated by the urban population growth and rapid urbanization. Yet little academic research has sparingly discussed the phenomenon. To close the gap in the literature about smart cities and in response to the increasing use of the concept, this paper proposes a framework to understand the concept of smart cities. Based on the exploration of a wide and extensive array of literature from various disciplinary areas we identify eight critical factors of smart city initiatives: management and organization, technology, governance, policy context, people and communities, economy, built infrastructure, and natural environment. These factors form the basis of an integrative framework that can be used to examine how local governments are envisioning smart city initiatives. The framework suggests directions and agendas for smart city research and outlines practical implications for government professionals.

Conceptualizing smart city with dimensions of technology, people, and institutions

Abstract: This conceptual paper discusses how we can consider a particular city as a smart one, drawing on recent practices to make cities smart. A set of the common multidimensional components underlying the smart city concept and the core factors for a successful smart city initiative is identified by exploring current working definitions of smart city and a diversity of various conceptual relatives similar to smart city. The paper offers strategic principles aligning to the three main dimensions (technology, people, and institutions) of smart city: integration of infrastructures and technology-mediated services, social learning for strengthening human infrastructure, and governance for institutional improvement and citizen engagement.

Smart cities of the future

Abstract: 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, Mobility and Travel Behaviour, Modelling Urban Land Use, Transport and Economic Interactions, Modelling Urban Transactional Activities in Labour and Housing Markets, Decision Support as Urban Intelligence, Participatory Governance and Planning Structures for the Smart City. Finally we anticipate the paradigm shifts that will occur in this research and define a series of key demonstrators which we believe are important to progressing a science of smart cities.