Integrated System Architecture for Event-Triggered and Time-Triggered Control Paradigms

Author(s):  
Roman Obermaisser
2012 ◽  
Vol 4 (4) ◽  
pp. 39-59 ◽  
Author(s):  
Heiko Thimm

The complexity of many decision problems of today’s globalized world requires new innovative solutions that are built upon proven decision support technology and also recent advancements in the area of information and communication technology (ICT) such as Cloud Computing and Mobile Communication. A combination of the cost-effective Cloud Computing approach with extended group decision support system technology bears several interesting unprecedented opportunities for the development of such solutions. These opportunities include ubiquitous accessibility to decision support software and, thus, the possibility to flexibly involve remote experts in group decision processes, guided access to background information, and facilitation support to direct group decision processes. The architects of such future solutions are challenged by numerous requirements that need to be considered and reflected in an integrated architectural approach. This article presents a thorough analysis of major design considerations for software solutions for collaborative decision making from a broad range of perspectives especially including the business process management perspective and the Cloud Computing perspective. The proposed architectural approach of the GRUPO-MOD system demonstrates how one can address the requirements in one integrated system architecture that supports different deployment options of Cloud Computing. A refinement of the high-level system architecture into a corresponding implementation architecture that builds on widely adopted standards such as OSGi and industry proven technology such as the Eclipse platform is also given in the article.


2019 ◽  
Vol 15 (8) ◽  
pp. 155014771986782
Author(s):  
Felipe Marques Pires ◽  
Leonardo de Souza Mendes ◽  
Lorena León Quiñonez

Research and development of applications for smart cities are extremely relevant considering the various problems that population growth will bring to large urban centers in the next few years. Although research on cyber-physical systems, cloud computing, embedded devices, sensor and actuator networks, and participatory sensing, among other paradigms, is driving the growth of solutions, there are a lot of challenges that need to be addressed. Based on these observations, in this work, we present an integrated system architecture for decision-making support and urban planning by introducing its building blocks (termed components): sensing/actuation, local processing, communication, cloud platform, and application components. In the sensing/actuation component, we present the major relevant resources for data collection, identification devices, and actuators that can be used in smart city solutions. Sensing/actuation component is followed by the local processing component, which is responsible for processing, decision-making support, and control in local scale. The communication component, as the connection element among all these components, is presented with an emphasis on the open-access metropolitan area network and cellular networks. The cloud platform is the essential component for urban planning and integration with electronic governance legacy systems, and finally, the application component, in which the government administrator and users have access to public management tools, citizen services, and other urban planning resources.


Author(s):  
Seelam Vasavi Sai Viswanada Prabhu Kumar ◽  
Shyam Akashe ◽  
Hee-Je Kim

In this chapter, the major enhanced techniques of internet of healthcare things (IoHT) with wearable sensor technologies (WST), stationary medical devices (SMD), and integrated system technologies (IST) for heterogeneous healthcare professionals are explored. A detailed view of the system architecture for developing IoHT device and a lot of issues are also described. The latest innovative technologies are realistic to specific purposes in the field of healthcare assessment. Analysis, sensor, and data studies approach the opportunities to improve personal healthcare and benefits for the medical industry. The ultimate aim of succeeding superior healthcare practice is to competently combine with information from diverse bases, to allocate the accumulated data, to retrieve the collected data. Effective data analysis tools from data with initialed conception services are needed while maintaining their security and privacy. Healthcare professionals, patients, and clients can take benefit of the IoHT for giving personalized smart care guidelines or solutions for existing technologies.


Author(s):  
Muhammad Arslan ◽  
Zainab Riaz ◽  
Adnan Khalid Kiani

Each year millions of dollars are spent for the prevention of flooding, fire, and burglaries in vacant properties. Keeping a vacant property secure is the most important aspect in preventing damage and one of the most crucial tasks for property owners and facility managers. Building Information Modeling (BIM) is an emerging technology platform that has the potential to be explored in safety-planning solutions for vacant properties. In an attempt to reduce vacant property hazards, this chapter reports upon an integrated system architecture that utilizes BIM and wireless sensor technology to produce a proactive safety and emergency management system entitled PropertySafety. The proposed solution collects real-time temperature, activity, and water detection data remotely; notifies property owners and facility managers through effective visualizations of a building using the BIM platform; and ultimately attempts to contribute in reducing property hazards during the facility management phase of a building lifecycle.


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