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The first argument of the function is the substance name, Ra in this case. The region in between the two curves describe refrigerant states that contain a mixture of both liquid and vapor. This equation multiples the refrigeration flow rate by the change in enthalpy between the discharge and suction conditions. The expansion device is the counterpart of the compressor. Starting a System with Liquid Refrigerant in the Compressor. Refer to Figure 8.

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Zoletnik, S. A new concept was designed for intelligent event driven imaging which is capable of focusing image readout to Regions of Interests ROIs where and when predefined events occur.

At present these events mean intensity changes and external triggers but in the future more sophisticated methods might also be defined. Keeping space limitations and the harsh environment in mind the camera is divided into a small Sensor Module and a processing card interconnected by a fast 10 Gbit optical link.

The new firmware and software package is now available and ready for testing the new event processing features. The device is intended to be the central element in the camera monitoring system of the Wendelstein 7-X stellarator. Event detection intelligent camera development. A new camera system ' event detection intelligent camera' EDICAM is being developed for the video diagnostics of W-7X stellarator, which consists of 10 distinct and standalone measurement channels each holding a camera.

Different operation modes will be implemented for continuous and for triggered readout as well. Hardware level trigger signals will be generated from real time image processing algorithms optimized for digital signal processor DSP and field programmable gate array FPGA architectures.

At full resolution a camera sends 12 bit sampled x pixels with fps which means 1. To analyse such a huge amount of data is time consuming and has a high computational complexity. A sensor module SM with reduced hardware and functional elements to reach a small and compact size and robust action in harmful environment as well. An image processing and control unit IPCU module handles the entire user predefined events and runs image processing algorithms to generate trigger signals.

Finally a 10 Gigabit Ethernet compatible image readout card functions as the network interface for the PC. Event tree analysis using artificial intelligence techniques. Benefits of using AI methods include ease of programming, efficiency of execution, and flexibility of application. The importance of an appropriate user interface is stressed. Intelligent system for accident identification in NPP. Accidental situations in NPP are great concern for operators, the facility, regulatory bodies and the environmental.

This work proposes a design of intelligent system aimed to assist the operator in the process of decision making initiator events with higher relative contribution to the reactor core damage occur. The intelligent System uses the results of the pre-operational Probabilistic safety Assessment and the Thermal hydraulic Safety Analysis of the NPP Juragua as source for building its knowledge base. The nucleus of the system is presented as a design of an intelligent hybrid from the combination of the artificial intelligence techniques fuzzy logic and artificial neural networks.

The system works with variables from the process of the first circuit, second circuit and the containment and it is presented as a model for the integration of safety analyses in the process of decision making by the operator when tackling with accidental situations. The consideration of emotional intelligence abilities in event volunteers. Directory of Open Access Journals Sweden. Full Text Available The measurement of emotional intelligence abilities is one of the new subjects and important in human behavior studies.

According to this matter, purpose of this research is consideration of emotional intelligence abilities in public sport events volunteers in The results indicated that 4 levels of emotional intelligence in volunteers are higher than expectational average significantly p intelligence abilities indicated that self-awareness is first priority and social awareness, relationship management and self-management are second, third and fourth priorities in volunteers. Finally, in the basis of parameter, results stated that there is no difference between male and female volunteers emotional intelligence in first Olympia of public sport.

According to results of present research and advantages of attention to emotional intelligence and human behavior in organizations, it recommended sport events managers to be more sensitive relative to human behavior abilities in human behavior abilities in human resource volunteers under his management. At least, result of this meditation in student's sport is recruitment and development of motivated volunteers for continuous attendance in sport events.

Proactive CEP can predict future system states and execute some actions to avoid unwanted states which brings new hope to intelligent transportation control. In this paper, we propose a proactive CEP architecture and method for intelligent transportation control. Based on basic CEP technology and predictive analytic technology, a networked distributed Markov decision processes model with predicting states is p Based on basic CEP technology and predictive analytic technology, a networked distributed Markov decision processes model with predicting states is proposed as sequential decision model.

A Q-learning method is proposed for this model. The experimental evaluations show that this method works well when used to control congestion in in intelligent transportation systems.

Forecasting rain events - Meteorological models or collective intelligence? Collective intelligence is shared or group intelligence that emerges from the collective efforts of many individuals. Collective intelligence is the aggregate of individual contributions: from simple collective decision making to more sophisticated aggregations such as in crowdsourcing and peer-production systems. In particular, collective intelligence could be used in making predictions about future events , for example by using prediction markets to forecast election results, stock prices, or the outcomes of sport events.

To date, there is little research regarding the use of collective intelligence for prediction of weather forecasting. The objective of this study is to investigate the extent to which collective intelligence could be utilized to accurately predict weather events , and in particular rainfall.

Our analyses employ metrics of group intelligence , as well as compare the accuracy of groups' predictions against the predictions of the standard model used by the National Meteorological Services. We report on preliminary results from a study conducted over the and winters. We have built a web site that allows people to make predictions on precipitation levels on certain locations. During each competition participants were allowed to enter their precipitation forecasts i.

A precipitation competition was defined as a hour period depending on the expected weather conditions , bets were open hours prior to the competition, and during betting period participants were allowed to change their bets with no limitation. In order to explore the effect of transparency, betting mechanisms varied across study's sites: full transparency participants able to see each other's bets ; partial transparency participants see the group's average bet ; and no transparency no information of others' bets is made available.

Several interesting findings emerged from. Sharing adverse drug event data using business intelligence technology. Duke University Health System uses computerized adverse drug event surveillance as an integral part of medication safety at 2 community hospitals and an academic medical center. This information must be swiftly communicated to organizational patient safety stakeholders to find opportunities to improve patient care; however, this process is encumbered by highly manual methods of preparing the data.

Following the examples of other industries, we deployed a business intelligence tool to provide dynamic safety reports on adverse drug events.

Once data were migrated into the health system data warehouse, we developed census-adjusted reports with user-driven prompts. Drill down functionality enables navigation from aggregate trends to event details by clicking report graphics. Reports can be accessed by patient safety leadership either through an existing safety reporting portal or the health system performance improvement Web site. Elaborate prompt screens allow many varieties of reports to be created quickly by patient safety personnel without consultation with the research analyst.

The reduction in research analyst workload because of business intelligence implementation made this individual available to additional patient safety projects thereby leveraging their talents more effectively.

Dedicated liaisons are essential to ensure clear communication between clinical and technical staff throughout the development life cycle. Design and development of the business intelligence model for adverse drug event data must reflect the eccentricities of the operational system, especially as new areas of emphasis evolve.

Future usability studies examining the data presentation and access model are needed. Dating to Colonel John Paul Stapp MD in , scientists have desired to measure live human head impacts with accuracy and precision. But no instrument exists to accurately and precisely quantify single head impact events. Our goal is to develop a practical single event head impact dosimeter known as " Intelligent Mouthguard" and quantify its performance on the benchtop, in vitro and in vivo.

In the Intelligent Mouthguard hardware, limited gyroscope bandwidth requires an algorithm-based correction as a function of impact duration. In vivo Intelligent Mouthguard true positive head impacts from American football players and amateur boxers have temporal characteristics first harmonic frequency from 35 Hz to 79 Hz within our tested benchtop first harmonic frequency Intelligent Mouthguard qualifies as a single event dosimeter in American football and Boxing.

Negated bio- events : analysis and identification. Background Negation occurs frequently in scientific literature, especially in biomedical literature.

Historically, the main motivation for identifying negated events has been to ensure their exclusion from lists of extracted interactions. However, recently, there has been a growing interest in negative results, which has resulted in negation detection being identified as a key challenge in biomedical relation extraction.

In this article, we focus on the problem of identifying negated bio- events , given gold standard event annotations. Results We have conducted a detailed analysis of three open access bio- event corpora containing negation information i. We have analysed the key aspects of a machine learning solution to the problem of detecting negated events , including selection of negation cues, feature engineering and the choice of learning algorithm.

Combining the best solutions for each aspect of the problem, we propose a novel framework for the identification of negated bio- events. We have evaluated our system on each of the three open access corpora mentioned above. Conclusions Recently, in the field of biomedical text mining, the development and enhancement of event -based systems has received significant interest. The ability to identify negated events is a key performance element for these systems. We have conducted the first detailed study on the analysis and identification of negated bio- events.

Our proposed framework can be integrated with state-of-the-art event extraction systems. Intelligent decision aids for abnormal events in nuclear power plants. German nuclear power plants are characterized by a high degree of automation, not only for normal operation but also for abnormal events.

Therefore the role of the operating personnel is mainly a supervisory function. Nevertheless, for a spectrum of unexpected events the operating personnel have to react with manual recovery actions. In order to minimize human error in such recovery actions, different kinds of intelligent decision aid support the operators today. In this paper such aids are discussed and one of them is described in more detail.

The intelligent system for accident identification in nuclear power plant. Accidental situations in NPP are of greet concern for operators, the facility, regulatory bodies and the environment.

This work proposes a design of intelligent system aimed to assist the operator in the process of decision making when initiator events with higher relative contribution to the reactor core damage occur.

The nucleus of the system is presented as a design of an intelligent hybrid system from the combination of the artificial intelligence techniques: fussy logic and artificial neural networks. The system works with variables from the process of the firsts circuit, second circuit and the containment and it is presented as a model for the integration of safety analyses in the process of decision making by the operator when tackling with accidental situations.

The intelligent system for accident identification in NPP. DEVS representation of dynamical systems - Event -based intelligent control. It is shown how systems can be advantageously represented as discrete- event models by using DEVS discrete- event system specification , a set-theoretic formalism. Such DEVS models provide a basis for the design of event -based logic control. In this control paradigm, the controller expects to receive confirming sensor responses to its control commands within definite time windows determined by its DEVS model of the system under control.

The event -based contral paradigm is applied in advanced robotic and intelligent automation, showing how classical process control can be readily interfaced with rule-based symbolic reasoning systems. Automated intelligent emergency assesment of GTA pipeline events.

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Zoletnik, S. A new concept was designed for intelligent event driven imaging which is capable of focusing image readout to Regions of Interests ROIs where and when predefined events occur. At present these events mean intensity changes and external triggers but in the future more sophisticated methods might also be defined. Keeping space limitations and the harsh environment in mind the camera is divided into a small Sensor Module and a processing card interconnected by a fast 10 Gbit optical link. The new firmware and software package is now available and ready for testing the new event processing features.

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