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Human-intensive cyber-physical systems involve software applications and hardware devices, but also depend upon the expertise of human participants to achieve their goal. In this paper. we describe a project we have started to improve the effectiveness of such systems by providing Smart Checklists to support and guide human participants in carrying out their tasks, including their interactions with...
This paper presents a novel approach to autonomous driving at the vehicle's handling limits. Such a system requires a high speed, consistent control signal as well as numerous safety features capable of monitoring and stopping the vehicle. When operating, the system's high level controller utilizes a highly accurate differential GPS and known friction values to drive a precomputed path at the friction...
This paper focuses on providing an overview of the research challenges that have been identified toward the end of the S-Cube network in the area of service engineering. These challenges concern the need for agility and dynamicity of the development process for service-based applications, the importance of focusing on proper approaches to support migration of legacy application into service-based...
Falls are a threat of great magnitude for the aging population. Methods, and the pursuit thereof to improve anticipatory prediction of falls, could reduce incidence of injury thereby lowering associated costs of healthcare. Gait monitoring is seen as a reliable area to help decipher potential warning signs as precursors to falls. Stride time is one such parameter, in particular to monitor a patient...
in this paper, we design and present a novel real-time sleeping position monitoring system. The sensing modules composed of 3-axis accelerometers are placed on object's forehead and chest to monitor the object's position during sleeping by calculating the angles between gravity vector and its three axes. System is driven by an inexpensive and low power microcontroller. In this system, we implement...
With each new technology node, the cost of scratches during chemical-mechanical planarization (CMP) becomes higher in terms of tool downtime, process yield, and device reliability. Large particles (LPC) in the slurry are known to increase the likelihood of scratching; therefore, considerable resources are spent to quantify their number [1–4] and improve methods for detection [5, 6]. This paper explores...
Smart meters and related technologies are becoming a noteworthy aspect of residential electrical power systems as proper energy feedback can result in significant energy savings. Smart meters also facilitate implementation of “time of use” (TOU) pricing for the residential sector. Results of Advanced Meter Infrastructure (AMI) pilot studies reveal that it is possible to save 12–15 % of energy saving...
For time-sensitive applications with hard real-time constraint, the utility of a decision goes to zero if the deadline is missed thus it is very important to use methodologies that can deliver solutions within their time limit. For large scale monitoring and prediction systems with small time periods this problem renders conservative optimization techniques to be useless especially because of the...
Many cement plants across North America have been operational for several years and are filled with legacy electrical systems of multiple vintages with disparate control and monitoring components. The purpose of this paper is to present a case study of one such plant, which has been operating for over 80 years. As the original plant was built before the latest innovations in metering and monitoring...
In this paper, we present the use of a system aimed at improving the productivity of equipment, piloted at an Intel production facility for 300mm 45nm high volume manufacturing. We show that true toolset utilizations may be significantly lower than what is recorded, owing to various process and tool-related delays that occur during the tool ‘busy’ or ‘running’ state. We then demonstrate through a...
We propose an autonomous state estimation based on robotic concepts and advanced state estimation methods. An autonomous, intelligent monitoring infrastructure is proposed that reliably and automatically detects devices as they are plugged-in or -out; it identifies changes in system state and automatically updates the real-time model of the system. The real-time model is used for control, operation,...
In this paper, a novel visual multi-feature detecting algorithm for the real time monitoring and control of laser beam welding (LBW) processes is discussed. It was implemented in the Eye-RIS vision system (VS) which includes a focal plane processor programmable by typical Cellular Neural Network (CNN) operators. The algorithm is based on the extraction of “spatters” - explosions of rear melt pool...
Publish-Subscribe Services have been widely employed in distributed Real-Time applications. However, the standard technologies and model which provide the foundation for Publish-Subscribe Services do not address issues such as fault tolerance and dependability of services. Aiming to supply this gap, this paper describes Quality of Service (QoS) policies and provides concrete strategies and methodologies...
Automatic visual monitoring is one of the key research areas in recent years. Segmentation of moving objects is an important step toward monitoring and activity analysis. This paper proposes a real-time moving object segmentation technique using Bayer-pattern images. The proposed method takes care of low resource availability at embedded system. In order to reduce memory requirements, we model the...
The electricity sector liberalisation in Europe has contributed significantly towards the creation of competitive markets. The wholesale trading of electricity consists of a market-based segment often complemented by markets for ancillary services, including the provision of operating reserves. In this paper, the authors examine and classify operating reserves that are currently traded in the Netherlands...
In recent year, the number of the patients with neuromuscular dyskinesias is constantly increasing. Many patients can recover the function of the limbs muscle through rehabilitation training. However, it is important for doctor and patients to real-time monitor and evaluate the effect of the training and the condition of muscle. In this paper, a real-time rehabilitation training system with electromyography...
The number of files stored in a personal computer is increasing very quickly, so it is difficult for users to find the information they want. One desktop search engine named SoDesktop is proposed in this paper, which is composed of four modules including Data crawler, Task scheduler, Data indexer and Data searcher. The implementations of these four modules are described in details, and the implementation...
Nowadays there is a new awareness of the importance of continuous monitoring and controlling of organizational transactions, because their auditing in real time allows to determine the degree of reliability with which transactions are carried out, mitigating the organizational risk. This paper aims to contribute to a new vision of organizational auditing focused on assurance services in transactions...
Prognostic health management (PHM) is a method for assuring the reliability of a system by monitoring the system in real time as it is used in the field. As the system wears out, but before failure, information that facilitates decision making about the future use of the system is delivered to the user. In this paper, a cost justification has been developed for incorporating the additional circuitry...
The conventional design of home security systems typically monitors only the property and lacks physical control aspects of the house itself. Also, the term security is not well defined because there is a time delay between the alarm system going on and actual arrival of the security personnel. This paper discusses the development of a home security and monitoring system that works where the traditional...
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