DISTRIBUTED INTELLIGENCE IN MANUFACTURING INFORMATION SYSTEMS

2011 ◽  
Vol 07 (01) ◽  
pp. 71-87
Author(s):  
DAVID W. RUSSELL

This paper describes an information system that was architected to enable front end distributed intelligence in a real manufacturing environment. By distributing intelligence to the most robust components of the system, data can be preserved at the cost of very real-time information. In order for the system as a whole to function this way, each software component was fitted with watchdog agent and granted system level access to the operating system so that it could detect and repair itself and other tasks in the event of a failure. During the repair process, the appropriate data collection processes were granted a level of autonomy that preserved data integrity. The paper is quite practical and designed as a case study rather than a theoretical research paper, although the techniques and principles applied are the result of much study.

2008 ◽  
Vol 32 (4) ◽  
pp. 750 ◽  
Author(s):  
Christopher A Bain ◽  
Snehal M Mehta ◽  
Kanchana Ratnayake ◽  
Terry L Symonds ◽  
Marcus P Kennedy

Access to care for patients remains a concern for all parties in the provision of hospital services. It is the subject of patient complaints, large investments of funds and vigorous debate in the community, hospitals and the political arena. This is a common problem in developed nations. There has been little achievement in information technology solutions to this significant problem in Australia. This paper presents a case study of the development and implementation of an organisational access display system intended to provide realtime, or near to real-time information and feedback on access for staff on the floor. This is believed to be one of the first times such a development has been reported in the Australian literature, albeit limited to the context of a single organisation.


2019 ◽  
Vol 8 (3) ◽  
pp. 4080-4083

As vehicles count increases day by day, the fuel consumption is also increasing. With this tremendous increase in fuel consumption, fuel price is also increasing rapidly. By taking this as an advantage, fuel bunkers are stealing fuel and this cannot be noticed by users because we have no control over the machine. A monitoring system is required to track the fuel level. So, we are proposing a system that helps to indicate the quantity of fuel for the amount we have paid. A petrol level sensor that receives real time information about tank’s fuel level is used which is directly connected to the Arduino mega. A webpage is created to get the petrol cost. The page provides the user with an Admin username and password. The petrol cost is updated only through that webpage. Once the petrol cost is updated, then the IOT module used to receive the petrol cost and transmit it to the Arduino mega. For enabling the cost displaying feature, we have to provide a signal to the controller indicating the need for displaying the petrol cost that is to be added. Now once the switch is in pressed state, the 2.4 TFT display is used to display the petrol cost and when the key is denounced, the cost is reset to zero.


2015 ◽  
Vol 12 (3) ◽  
pp. 133-145 ◽  
Author(s):  
Elena Bruno ◽  
Giuseppina Iacoviello ◽  
Arianna Lazzini

This work analyzes the contribution of an Information Systems (IS) to the implementation of credit monitoring as a new integrated process to prevent non-performing loans in a small bank. The study focuses on the process of active monitoring of the entire credit portfolio, aimed at guiding the best migration between risk classes. This is understood as a set of integrated activities, in which the quality of information becomes a major determinant of the outcome. Such tools support risk management in the decision-making process and aiding performance evaluation. The purpose of this work is to highlight the possibility of an IS to support this new integrated process of credit monitoring, providing increasingly reliable data, availability on demand and real-time information


2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Tomas Cerny ◽  
Michael Jeff Donahoo

An effective means of engaging spectators at live events involves providing real-time information from a variety of sources. Consumers demand personalized experience; thus, a single channel perspective fails. Modern entertainment must extend to spectator mobile devices and adapt content to individual interests. Moreover, such systems should take advantage of venue screens to engage in sharing live information, aggregated social media, etc. We propose a second screen application, providing each audience member a personalized perspective, involving mobile devices equipped with Wi-Fi, and spanning to venue screens in hotels, halls, arenas, elevators, etc. Such a system engages both local audience and remote spectators. Our work provides a case study involving experience from the deployment of such an application at the ACM-ICPC World Finals with audiences at the event and around the world. We analyze and categorize its features, consider its impact on the audience, and measure its demands.


Author(s):  
Jean Walrand

AbstractThis chapter is concerned with making successive decisions in the presence of uncertainty. The decisions affect the cost at each step but also the “state” of the system. We start with a simple example: choosing a route with uncertain travel times. We then examine a more general model: controlling a Markov chain.Section 13.1 presents a model of route section when the travel times are random. Section 13.2 shows one formulation where one plans the trip long in advance. Section 13.3 explains how the problem changes if one is able to adjust the route based on real-time information. That section introduces the main ideas of stochastic dynamic programming. Section 13.4 discusses a generalization of the route planning problem: a Markov decision problem. Section 13.5 solves the problem when the horizon is infinite.


2019 ◽  
Vol 8 (3) ◽  
pp. 3220-3224

With the growth in urbanization and consumption of resources the problem of trash and waste production has also gone up. This is becoming a cause of concern and especially in developing countries where there are no or very less efficient waste management systems in place. Due to the problem of littering and inefficient garbage disposal systems overflow of garbage is common which leads to air and land pollution. The systems currently in-place in developing countries are not efficient and garbage collection trucks have no way to get the real-time information of garbage cans and because of the wide span of a city many garbage cans remain empty and others don't get collected thus it leads to overflow. The goal of this project is to solve the problem of overflowing of garbage, littering, and inefficient garbage disposal systems with the help of device created using the Internet of Things (IoT) to provide efficient routes and trash separation, thus reducing the cost and increasing time efficiency. The device will also help in separating the metallic and non-metallic waste into separate bins, further considering the most filled garbage bins and providing an efficient route with their locations


2008 ◽  
Vol 32 (4) ◽  
pp. 755 ◽  
Author(s):  
Pamela W Garrett ◽  
Roberto Forero ◽  
Hugh G Dickson ◽  
Anna Klinken Whelan

Access to care for patients remains a concern for all parties in the provision of hospital services. It is the subject of patient complaints, large investments of funds and vigorous debate in the community, hospitals and the political arena. This is a common problem in developed nations. There has been little achievement in information technology solutions to this significant problem in Australia. This paper presents a case study of the development and implementation of an organisational access display system intended to provide realtime, or near to real-time information and feedback on access for staff on the floor. This is believed to be one of the first times such a development has been reported in the Australian literature, albeit limited to the context of a single organisation.


2010 ◽  
Vol 63 (3) ◽  
pp. 449-469 ◽  
Author(s):  
Ming-Cheng Tsou

The widespread use of the Automatic Identification System (AIS) has had a significant impact on maritime technology. AIS enables the Vessel Traffic Service (VTS) not only to offer commonly known functions such as identification, tracking and monitoring of vessels, but also to provide rich real-time information that is useful for marine traffic investigation, statistical analysis and theoretical research. However, due to the rapid accumulation of AIS observation data, the VTS platform is often unable quickly and effectively to absorb and analyze it. Traditional observation and analysis methods are becoming less suitable for the modern AIS generation of VTS. In view of this, we applied the same data mining technique used for business intelligence discovery (in Customer Relation Management (CRM) business marketing) to the analysis of AIS observation data. This recasts the marine traffic problem as a business-marketing problem and integrates technologies such as Geographic Information Systems (GIS), database management systems, data warehousing and data mining to facilitate the discovery of hidden and valuable information in a huge amount of observation data. Consequently, this provides the marine traffic managers with a useful strategic planning resource.


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