Advanced control and optimization of a thermo-energetic installations

research-article Free Access Share on Embedded systems in real time applications, design & architecture Authors: A. L. Suseela View Profile , V. Lalith Kumar View Profile Authors Info & Claims UbiquityVolume 2005Issue AugustAugust 2005 pp 2https://doi.org/10.1145/1088431.1086450Online:01 August 2005Publication History 0citation170,093DownloadsMetricsTotal Citations0Total Downloads170,093Last 12 Months1,290Last 6 weeks56 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteView all FormatsPDF

Improved likelihood ratio test based voice activity detector applied to speech recognition

With the term “real-time data processing,“ we denote applications that have special emphasis on the following: • Algorithms that can be executed within a guaranteed response time window, and • Processes (that is, the performance of an algorithm) with overlap ping time windows which must nevertheless be kept in logical and timely order.

This paper presents an investigation for analysing the load carrying capacity of journal bearing in a variety of conditions using a proposed neural network (NN). The NN structure is very suitable for this kind of system. The network is capable of predicting the pressures of the experimental system. The network has parallel structure and fast learning capacity. It can be outlined from the results for both approaches, NN could be used to model journal bearing systems in real time applications.

Multimicroprocessor systems for real time applications: (eds) Gianni Conte and Dante del Corso, D Reidel Publishing Company (1985) 299 pp

Historically, image systems for real time applications have been classified as either point trackers (including edge trackers and centroid trackers) or trackers. Point trackers track the location of features detected by feature extraction techniques while the trackers track the location of the best match between the scene and a reference image. The term correlation tracking as used here ecompasses both maximum cross and minimum distance similarity detection techniques.

This paper presents an overview of a proposed protocol to provide application---transparent fault tolerant services in a Real Time Operating system. Fault tolerance is achieved by saving checkpoints of the processes belonging to a real time application. This approach proposes the extension of some real time system calls in order to save a recovery point when the user invokes them. This protocol allows a real time application designer to know the temporal specifications of every system call. Current real time applications are composed of several Real Time processes and they have to share data by using interprocess communication facilities provided by the operating system. The operating system has to take into account these interactions to ensure the consistency of checkpoints. This is done by tracking the communications performed since the last checkpoint and forcing dependent processes to perform a checkpoint at the same time.

A real-time operating system (RTOS) provides a platform for the design and implementation of a wide range of applications in real-time systems, embedded systems, and mission-critical systems. This paper presents a formal design model for a general RTOS known as RTOS+ that enables a specific target RTOS to be rigorously and efficiently derived in real-world applications. The methodology of a denotational mathematics, Real-Time Process Algebra (RTPA), is described for formally modeling and refining architectures, static behaviors, and dynamic behaviors of RTOS+. The conceptual model of the RTOS+ system is introduced as the initial requirements for the system. The architectural model of RTOS+ is created using RTPA architectural modeling methodologies and refined by a set of Unified Data Models (UDMs). The static behaviors of RTOS+ are specified and refined by a set of Unified Process Models (UPMs). The dynamic behaviors of the RTOS+ system are specified and refined by the real-time process scheduler and system dispatcher. This work is presented in two papers; the conceptual and architectural models of RTOS+ is described in this paper, while the static and dynamic behavioral models of RTOS+ will be elaborated in a forthcoming paper.

MONOSK: A network operating system for real time applications

Band selection (BS) has advantages over data dimensionality in satellite communication and data transmission. However, several issues regarding real time processing need to be addressed, (1) how many bands required for BS, (2) how to select appropriate bands, (3) how to take advantage of previously selected bands without re-implementing BS, and finally and most important, (4) how to tune bands to be selected in real time as number of bands varies. This paper presents a new approach, called progressive band processing (PBP) for Modified Fully Abundance-Constrained Spectral Unmixing (MFCLS) without actually implementing BS. When spectral unmixing is performed, BS must be done prior to data unmixing in which case real time implementation in data communication is infeasible. The proposed PBP-MFCLS allows users to incorporate new incoming bands into data unmixing currently being processed. Accordingly, PBP-MFCLS can be carried out band by band in a real time and progressive fashion with unmixed data updated recursively band by band in the same way that data is processed by a Kalman filter.

Multi-core CPUs with multiple levels of parallelism (i.e. data level, instruction level and task/core level) have become the mainstream CPUs for commodity computing systems. Based on the multi-core CPUs, in this paper we developed a high performance computing framework for AC contingency calculation (ACCC) to fully utilize the computing power of commodity systems for online and real time applications. Using Woodbury matrix identity based compensation method, we transform and pack multiple contingency cases of different outages into a fine grained vectorized data parallel programming model. We implement the data parallel programming model using SIMD instruction extension on x86 CPUs, therefore, fully taking advantages of the CPU core with SIMD floating point capability. We also implement a thread pool scheduler for ACCC on multi-core CPUs which automatically balances the computing loads across CPU cores to fully utilize the multi-core capability. We test the ACCC solver on the IEEE test systems and on the Polish 3000-bus system using a quad-core Intel Sandy Bridge CPU. The optimized ACCC solver achieves close to linear speedup (SIMD width multiply core numbers) comparing to scalar implementation and is able to solve a complete N-1 line outage AC contingency calculation of the Polish grid within one second on a commodity CPU. It enables the complete ACCC as a real-time application on commodity computing systems.

A large body of human image processing techniques use skin detection as a first primitive for subsequent feature extraction. Well established methods of colour modelling, such as histograms and Gaussian mixture models have enabled the construction of suitably accurate skin detectors. However such techniques are not ideal for use in adaptive real time environments. We describe methods of skin detection using a Self-Organising Map or SOM, and show performance comparable (94% accuracy on facial images) to conventional techniques. We also introduce the AXEON Learning Processor as the basis for a hardware skin detector, and outline the potential benefits of using this system in a demanding environment, such as filtering Internet traffic, to which conventional techniques are not best suited.

Background/Objectives: This paper offers a clear traffic control system to pass emergency vehicles easily. In this paper to accomplishment the raise of current innovation called Automated Efficient Traffic Control System: waiting time of emergency vehicles and also used to control the traffic lights. Methods/Statistical Analysis: This makes the utilization of Radio Frequency Identifier (RFID). This makes it very tough to take away or get broken. We use RFID readerTK-5530, and PIC16F877A. A device Micro-chip to take a gander at the RFID Tag related to the vehicle. Findings: If RFID tag takes a look at fits in with the stolen automobile the Information is transmits the usage of GSM SIM300 to the police manager further, whilst ambulance is coming near to the intersection, it will touch to activity controller inside of the intersection switch on the unpractised light. Conclusion: The module makes utilization of Zigbee detachable on CC2500 and PIC16F877A. Device Micro-chip for remote correspondences among the rescue vehicle or visitor controller. It is used to sense ambulance in multidirectional and also sense the ambulance to reach the junction to junction communication with the priority of the vehicle.Keywords: Ambulance Detection, Data Collection of Vehicles, Micro Controller based System, Traffic Management

[Abstract] The Operationally Responsive Spa ce (ORS) program envisions building a 6 day to support fast changing tactical missions. A key requirement would be the ability to rapidly compose the spacecraft that would perform both the needed mission - and spacecraft -oriented functionality using (PnP) enabled spacecraft components. To address this need, a service -oriented spacecraft architectural model is under development as part of the Air Force Research Laboratory (AFRL) Responsive Space Testbed effort to provide a reusable , reference infrastructure for Responsive Space. The Lockheed Martin ATC is pursuing the development of a Java -based distributed architecture environment that supports this service -oriented, reference spacecraft architectural model. A key component of th is approach involves a simulation architecture that is based on spacecraft services, much like the service -oriented models now widely used in the consumer marketplace, but is an evolutionary step to extend simulation to operations. To span the entire range from simulation to operations seamlessly, a single vertically integrated software architecture is needed. The Java -based distributed architecture provides such an environment with its evolution from desktop, to enterprise, to mobile devices, and now to real time systems. The Java environment addresses the complexity needed for operational simulations and ultimate deployment for integrated spacecraft flight and payload control systems. The Real Time Specification for Java (RTSJ) supports hard real time, s oft real time and non -real time processes all interoperating within the same virtual machine. Initial prototyping is being done using IBM's Real Time Java (RTJ) implementation of the RTSJ. The Java platform support several libraries, and one in particular, the JINI protocol, which supports the operation of dynamically changing networks of distributed services (and devices). Using JINI, running as a non -real time process within IBM's RTJ environment, provides the rich set of Plug -N-Play capabilities needed to demonstrate both automatic configuration, as would be needed for Assembly, Integration and Test (AI&T), as well as for operational fault tolerance and reconfigurability needed for on -orbit operations.

Quality by Design in the Pharmaceutical Industry: Process Modelling, Monitoring and Control using Latent Variable Methods