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Wireless Sensor Network will be the lone contender of technologies for Urban environment monitoring in cities enabling us to gather large real time data, process all sort of data with good time and spatial resolution. This paper discusses the case study of Bangalore Urban City and proposes a conceptual framework for the deployment of WSN for environment monitoring. It presents the environmental challenges...
How the No Relational Data Bases are one of the key factors (among the architecture & infrastructure that supports them) of the complete develop of the IoT, and how they must lead the way to the Web of Things. An example for the e-health.
To make real-time marketing tools for online storefronts, it is necessary to understand intentions of customers who are connecting on the storefronts. One of important customer intention may be whether a customer intends to purchase or not in the current session. In this paper, we propose customer purchase probability prediction method based on clickstream data using association rule generation techniques...
The smart grid enabled city is an emerging complex system of systems where different stakeholders will have to strive towards achieving their goals while interacting with each-other. At parts of the city such as the districts, the energy signature and efforts towards its better energy efficiency will heavily depend on the utilization of availability and optimal usage of the local resources. The latter...
Power Grid is facing a tremendous change characterized by many challenges. Future grid will definitely be a complex system hard to study, analyze and design with traditional, analytical and rule based approaches. In this context it is clear that in the design of future smart-grid, simulation in support of design and Hardware In the Loop methods will have a key role. In this paper we present the actual...
The paper presents a new service paradigm for Vehicle Communication Platforms (VCPs), based on the Sensor Cloud concept. According to this paradigm, VCPs make available their components, including vehicle sensor and devices, to third-party vehicle monitoring applications, as virtual resources. We prototyped a Sensor Cloud service on the Click & Find™ VCP, currently supporting real-time Intelligent...
A novel portable and wireless biomedical monitoring system featuring on demand wireless data transmission of ECG signals and time-frequency HRV analysis for personal and home healthcare applications is presented in this work. In order to provide comfort and convenience to patients, the device's size, power consumption and portability are of first priority. The ECG processor based on previous hardware...
Mineral processing automation technology has become an indispensable element of productivity due to plays an important role in the reduced cost and stable quality. This paper introduced the history of mineral processing automation and new technology in recent years. The application status of process control, optimal control and other advanced methods in mineral processing automation was also introduced,...
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...
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