Intelligent Diagnostic Assistant for Complicated Skin Diseases through C5's Algorithm.

Science.gov (United States)

Jeddi, Fatemeh Rangraz; Arabfard, Masoud; Kermany, Zahra Arab

2017-09-01

Intelligent Diagnostic Assistant can be used for complicated diagnosis of skin diseases, which are among the most common causes of disability. The aim of this study was to design and implement a computerized intelligent diagnostic assistant for complicated skin diseases through C5's Algorithm. An applied-developmental study was done in 2015. Knowledge base was developed based on interviews with dermatologists through questionnaires and checklists. Knowledge representation was obtained from the train data in the database using Excel Microsoft Office. Clementine Software and C5's Algorithms were applied to draw the decision tree. Analysis of test accuracy was performed based on rules extracted using inference chains. The rules extracted from the decision tree were entered into the CLIPS programming environment and the intelligent diagnostic assistant was designed then. The rules were defined using forward chaining inference technique and were entered into Clips programming environment as RULE. The accuracy and error rates obtained in the training phase from the decision tree were 99.56% and 0.44%, respectively. The accuracy of the decision tree was 98% and the error was 2% in the test phase. Intelligent diagnostic assistant can be used as a reliable system with high accuracy, sensitivity, specificity, and agreement.

ISHM-oriented adaptive fault diagnostics for avionics based on a distributed intelligent agent system

Science.gov (United States)

Xu, Jiuping; Zhong, Zhengqiang; Xu, Lei

2015-10-01

In this paper, an integrated system health management-oriented adaptive fault diagnostics and model for avionics is proposed. With avionics becoming increasingly complicated, precise and comprehensive avionics fault diagnostics has become an extremely complicated task. For the proposed fault diagnostic system, specific approaches, such as the artificial immune system, the intelligent agents system and the Dempster-Shafer evidence theory, are used to conduct deep fault avionics diagnostics. Through this proposed fault diagnostic system, efficient and accurate diagnostics can be achieved. A numerical example is conducted to apply the proposed hybrid diagnostics to a set of radar transmitters on an avionics system and to illustrate that the proposed system and model have the ability to achieve efficient and accurate fault diagnostics. By analyzing the diagnostic system's feasibility and pragmatics, the advantages of this system are demonstrated.

Emotional intelligence as a basis for self-esteem in young adults.

Science.gov (United States)

Cheung, Chau-Kiu; Cheung, Hoi Yan; Hue, Ming-Tak

2015-01-01

As self-esteem is likely to build on favorable social experiences, such as those derived from achievement (i.e., GPA) and social competence, emotional intelligence is likely to be pivotal in fostering social experiences conducive to self-esteem. Accordingly, emotional intelligence is likely to underlie social competence and mediate the contribution of achievement to self-esteem. This uncharted role is the focus of this study, which surveyed 405 undergraduates in Hong Kong, China. Results demonstrated the pivotal role of emotional intelligence. Essentially, emotional intelligence appeared to be a strong determinant of self-esteem and explain away the positive effect of social competence on self-esteem. The results imply the value of raising emotional intelligence in order to consolidate the basis for the young adult's self-esteem.

Self-Assessing of the Emotional Intelligence and Organizational Intelligence in Schools

Science.gov (United States)

Dagiene, Valentina; Juškeviciene, Anita; Carneiro, Roberto; Child, Camilla; Cullen, Joe

2015-01-01

The paper presents the results of an evaluation of the Emotional Intelligence (EI) and Organisational Intelligence (OI) competences self-assessment tools developed and applied by the IGUANA project. In the paper Emotional Intelligence and Organisational Intelligence competences are discussed, their use in action research experiments to assess and…

Implementation of an integrated on-line process surveillance and diagnostic system at the Halden reactor project: MOAS

International Nuclear Information System (INIS)

Kim, I.S.; Grini, R.-E.; Nilsen, S.

2001-01-01

MOAS is an integrated on-line process surveillance and diagnostic system that uses several different models for knowledge acquisition and diagnostic reasoning, such as goal-tree success-tree model, process monitor trees, and sensor failure diagnosis trees. Within these models, the knowledge of the process and its operation, including deep knowledge, like mass balance or controller algorithm, is incorporated. During an extensive review, made as part of the integrated diagnosis system project of the Halden reactor project, MOAS (Maryland Operator Advisory System) was identified as one of the most thorough systems developed thus far. MOAS encompasses diverse functional aspects that are required for an effective process disturbance management: (1) intelligent process monitoring and alarming, (2) on-line sensor data validation and sensor failure diagnosis, (3) on-line hardware (besides sensors) failure diagnosis, and (4) real-time corrective measure synthesis. The MOAS methodology was used for the NORS (Nokia Research Simulator) process at the Halden man-machine laboratory HAMMLAB of the OECD Halden reactor project. The performance tests of MOAS, implemented in G2 real-time expert system shell, show that MOAS successfully carries out its intended functions, i.e. quickly recognizing an occurring disturbance, correctly diagnosing its cause, and presenting advice on its control to the operator. The lessons learned and insights gained during the implementation and performance tests also are discussed

Intelligent model-based diagnostics for vehicle health management

Science.gov (United States)

Luo, Jianhui; Tu, Fang; Azam, Mohammad S.; Pattipati, Krishna R.; Willett, Peter K.; Qiao, Liu; Kawamoto, Masayuki

2003-08-01

The recent advances in sensor technology, remote communication and computational capabilities, and standardized hardware/software interfaces are creating a dramatic shift in the way the health of vehicles is monitored and managed. These advances facilitate remote monitoring, diagnosis and condition-based maintenance of automotive systems. With the increased sophistication of electronic control systems in vehicles, there is a concomitant increased difficulty in the identification of the malfunction phenomena. Consequently, the current rule-based diagnostic systems are difficult to develop, validate and maintain. New intelligent model-based diagnostic methodologies that exploit the advances in sensor, telecommunications, computing and software technologies are needed. In this paper, we will investigate hybrid model-based techniques that seamlessly employ quantitative (analytical) models and graph-based dependency models for intelligent diagnosis. Automotive engineers have found quantitative simulation (e.g. MATLAB/SIMULINK) to be a vital tool in the development of advanced control systems. The hybrid method exploits this capability to improve the diagnostic system's accuracy and consistency, utilizes existing validated knowledge on rule-based methods, enables remote diagnosis, and responds to the challenges of increased system complexity. The solution is generic and has the potential for application in a wide range of systems.

Self-Adaptive Systems for Machine Intelligence

CERN Document Server

He, Haibo

2011-01-01

This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide application

Artificial intelligence applications to nuclear reactor diagnostics

International Nuclear Information System (INIS)

Lee, J.C.; Hassberger, J.A.; Wehe, D.K.

1987-01-01

The authors research into applications of artificial intelligence to nuclear reactor diagnostics involves three main areas. In the first area, the authors combine reactor simulation models and expert systems to diagnose the state of the plant. The second area examines ways in which the rule or knowledge base of an intelligent controller can be generated systematically from either fault trees or acquired plant data. Third, efforts are described to develop the capabilities to validate these techniques in a realistic reactor setting. The techniques are applicable to all reactor types, including fast reactors

The relationship between emotional intelligence, self-esteem, gender and educational success

Directory of Open Access Journals (Sweden)

Mina Rahimi

2016-07-01

Full Text Available Identifying factors that contribute to academic achievement is important. Some studies suggest a direct correlation between emotional intelligence, self-esteem and academic achievement, but others disagree about any direct relationship. This study investigates the relationship between emotional intelligence, self-esteem and academic achievement. The sample consists of 300 university students who were selected through random sampling. Bar-on emotional Intelligence questionnaire and self-esteem test pop as well as the mean scores of students were used as academic achievement. To analyze research data, descriptive and inferential statistics were used. The results of data analysis show that emotional intelligence and self-esteem had no significant relationship with achievement. The findings also show that emotional intelligence was not different between male and female students, but the self-esteem of female students was more than male students. Therefore in considering effective factors in academic achievement just psychological constructs such as emotional intelligence, self- esteem cannot be stressed.

Self-compassion and emotional intelligence in nurses.

Science.gov (United States)

Heffernan, Mary; Quinn Griffin, Mary T; Sister Rita McNulty; Fitzpatrick, Joyce J

2010-08-01

Nurses often provide care for patients and families who are suffering and where emotions are heightened. Compassion is an essential component of the care that nurses provide. Emotions play an important role in the relationship and communication between nurses, patients and families. Self-compassion is the ability to be compassionate to oneself, without this ability nurses might not be prepared to be compassionate to patients. Emotionally intelligent persons perceive themselves as confident, better able to understand, control and manage their emotions. The purpose of this descriptive, correlational study was to examine the relationship between self-compassion and emotional intelligence. Participants were 135 nurses. The setting for this study was a health system with hospitals located in Queens, Nassau and Suffolk counties of New York, USA. Three of the hospitals in the study are located in Queens and/or the Queens/Nassau border. Queens is the most culturally diverse community in the USA. The patients served, as well as the nursing staff, are reflective of this cultural and religious diversity. Results indicated a positive correlation between self-compassion and emotional intelligence (r = 0.55). Recommendations for future research include: exploration of self-compassion and emotional intelligence in nurses, and identification of the benefits of enhancing self-compassion and emotional intelligence in nurses.

Mjollnir Rotational Line Scan Diagnostics.

Science.gov (United States)

1981-05-19

using long cavity. M8 Removable Pellicle Beam Splitter for He-Ne Lineup Beam. Removed before HF or DF laser is turned on. 27 A 27 * A r of the chopper...three probe laser lines, however three lines were sequentially measured to verify the diagnostic equipment. Two of the three lines have been monitored

Effect of promoting self-esteem by participatory learning process on emotional intelligence among early adolescents.

Science.gov (United States)

Munsawaengsub, Chokchai; Yimklib, Somkid; Nanthamongkolchai, Sutham; Apinanthavech, Suporn

2009-12-01

To study the effect of promoting self-esteem by participatory learning program on emotional intelligence among early adolescents. The quasi-experimental study was conducted in grade 9 students from two schools in Bangbuathong district, Nonthaburi province. Each experimental and comparative group consisted of 34 students with the lowest score of emotional intelligence. The instruments were questionnaires, Program to Develop Emotional Intelligence and Handbook of Emotional Intelligence Development. The experimental group attended 8 participatory learning activities in 4 weeks to Develop Emotional Intelligence while the comparative group received the handbook for self study. Assessment the effectiveness of program was done by pre-test and post-test immediately and 4 weeks apart concerning the emotional intelligence. Implementation and evaluation was done during May 24-August 12, 2005. Data were analyzed by frequency, percentage, mean, standard deviation, Chi-square, independent sample t-test and paired sample t-test. Before program implementation, both groups had no statistical difference in mean score of emotional intelligence. After intervention, the experimental group had higher mean score of emotional intelligence both immediately and 4 weeks later with statistical significant (p = 0.001 and self-esteem by participatory learning process could enhance the emotional intelligence in early-adolescent. This program could be modified and implemented for early adolescent in the community.

Intelligent systems in technical and medical diagnostics

CERN Document Server

Korbicz, Jozef

2013-01-01

For many years technical and medical diagnostics has been the area of intensive scientific research. It covers well-established topics as well as emerging developments in control engineering, artificial intelligence, applied mathematics, pattern recognition and statistics. At the same time, a growing number of applications of different fault diagnosis methods, especially in electrical, mechanical, chemical and medical engineering, is being observed. This monograph contains a collection of 44 carefully selected papers contributed by experts in technical and medical diagnostics, and constitutes

The relationship between emotional intelligence, self-esteem, gender and educational success

OpenAIRE

Mina Rahimi

2016-01-01

Identifying factors that contribute to academic achievement is important. Some studies suggest a direct correlation between emotional intelligence, self-esteem and academic achievement, but others disagree about any direct relationship. This study investigates the relationship between emotional intelligence, self-esteem and academic achievement. The sample consists of 300 university students who were selected through random sampling. Bar-on emotional Intelligence questionnaire and self-esteem...

Artificial intelligence methods for diagnostic

International Nuclear Information System (INIS)

Dourgnon-Hanoune, A.; Porcheron, M.; Ricard, B.

1996-01-01

To assist in diagnosis of its nuclear power plants, the Research and Development Division of Electricite de France has been developing skills in Artificial Intelligence for about a decade. Different diagnostic expert systems have been designed. Among them, SILEX for control rods cabinet troubleshooting, DIVA for turbine generator diagnosis, DIAPO for reactor coolant pump diagnosis. This know how in expert knowledge modeling and acquisition is direct result of experience gained during developments and of a more general reflection on knowledge based system development. We have been able to reuse this results for other developments such as a guide for auxiliary rotating machines diagnosis. (authors)

Artificial intelligence as a diagnostic adjunct in cardiovascular nuclear imaging

International Nuclear Information System (INIS)

Duncan, J.S.

1988-01-01

The radiologist and/or nuclear medicine physician is literally bombarded with information from today's diagnostic imaging technologies. As a consequence of this, whereas a decade ago the emphasis in medical image analysis was on improving the extraction of diagnostic information by developing and using more sophisticated imaging modalities, today those working on the development of medical imaging technology are struggling to find ways to handle all gathered information effectively. This chapter gives an introduction to the area of artificial intelligence, with an emphasis on the research ongoing in cardiovascular nuclear imaging. This chapter has reviewed the place of artificial intelligence in cardiovascular nuclear imaging. It is intended to provide a general sense of this new and emerging field, an insight into some of its specific methodologies and applications, and a closer look at the several AI approaches currently being applied in cardiovascular nuclear imaging

Synergy between Software Product Line and Intelligent Mobile Middleware

DEFF Research Database (Denmark)

Zhang, Weishan; Hansen, Klaus Marius

2007-01-01

with OWL ontology reasoning enhanced BDI (belief-desire-intention) agents in an ongoing research project called PLIMM (product line enabled intelligent mobile middleware), in which Frame based software product line techniques are applied. Besides the advantages of a software product line, our approach can...... handle ontology evolution and keep all related assets in a consistent state. Ontology evolution is a problem that has not been addressed by current mobile middleware. Another advantage is the ability to configure Jadex BDI agents for different purpose and enhance agent intelligence by adding logic...

The relationship of reflection and rumination with emotional intelligence and self-esteem

Directory of Open Access Journals (Sweden)

Martina Starc

2007-07-01

Full Text Available The question of the benefits of self-consciousness in terms of psychological health and well-being is still open for discussion. Older studies uncovered positive as well as negative correlates of self-consciousness that gave rise to the "self-absorption paradox". Newer concepts of rumination and reflection based on the motives for self-consciousness offer new ways of solving this paradox. The study explored the relationship of reflection and rumination with emotional intelligence and self-esteem. High-school students (N = 165, i.e. 65 men and 100 women took part in the study. The average age of the participants was 17.5 years. The results show significant positive correlations between self-esteem, emotional intelligence, and reflection. The correlations between rumination, self-esteem, and emotional intelligence are significant and negative. The research thus showed that the way of thinking about oneself and the motives behind self-consciousness are important for self-esteem and emotional intelligence. Merely thinking about oneself is therefore not necessarily emotionally intelligent. In future research, however, it would probably be better to use tests instead of self-descriptive questionnaires of emotional intelligence.

The Effect of Noise on Relationships Between Speech Intelligibility and Self-Reported Communication Measures in Tracheoesophageal Speakers.

Science.gov (United States)

Eadie, Tanya L; Otero, Devon Sawin; Bolt, Susan; Kapsner-Smith, Mara; Sullivan, Jessica R

2016-08-01

The purpose of this study was to examine how sentence intelligibility relates to self-reported communication in tracheoesophageal speakers when speech intelligibility is measured in quiet and noise. Twenty-four tracheoesophageal speakers who were at least 1 year postlaryngectomy provided audio recordings of 5 sentences from the Sentence Intelligibility Test. Speakers also completed self-reported measures of communication-the Voice Handicap Index-10 and the Communicative Participation Item Bank short form. Speech recordings were presented to 2 groups of inexperienced listeners who heard sentences in quiet or noise. Listeners transcribed the sentences to yield speech intelligibility scores. Very weak relationships were found between intelligibility in quiet and measures of voice handicap and communicative participation. Slightly stronger, but still weak and nonsignificant, relationships were observed between measures of intelligibility in noise and both self-reported measures. However, 12 speakers who were more than 65% intelligible in noise showed strong and statistically significant relationships with both self-reported measures (R2 = .76-.79). Speech intelligibility in quiet is a weak predictor of self-reported communication measures in tracheoesophageal speakers. Speech intelligibility in noise may be a better metric of self-reported communicative function for speakers who demonstrate higher speech intelligibility in noise.

Gender differences in self-rated and partner-rated multiple intelligences: a Portuguese replication.

Science.gov (United States)

Neto, Félix; Furnham, Adrian

2006-11-01

The authors examined gender differences and the influence of intelligence quotient (IQ) test experience in the self and partner estimation of H. Gardner's (1999) 10 multiple intelligences. Portuguese students (N = 190) completed a brief questionnaire developed on the basis of an instrument used in previous research (A. Furnham, 2001). Three of the 10 self-estimates yielded significant gender differences. Men believed they were more intelligent than were women on mathematical (logical), spatial, and naturalistic intelligence. Those who had previously completed an IQ test gave higher self-estimates on 2 of the 10 estimates. Factor analysis of the 10 and then 8 self-estimated scores did not confirm Gardner's 3-factor classification of multiple intelligences in this sample.

Emotional intelligence and social skills on self-efficacy in Secondary Education students. Are there gender differences?

Science.gov (United States)

Salavera, Carlos; Usán, Pablo; Jarie, Laurane

2017-10-01

Self-efficacy affects our students' academic results, which may be related to people's social skills and emotional intelligence. This study included 1402 (50.71% males) Secondary Education Spanish students (12-17 years), and analysed the relation of self-efficacy with emotional intelligence and social skills. It showed how these constructs were related, and how the self-efficacy perceived by students varied according to their social skills and emotional intelligence. Gender did not influence self-efficacy, social skills and emotional intelligence. These variables showed similar correlation indices in females and males. Self-efficacy was related with social skills and emotional intelligence in Secondary Education students, but this relation was not gender-sensitive. More studies and research are needed to study and describe these variables according to gender from other perspectives. One proposal is to investigate the association between gender identity and self-efficacy and social skills and emotional intelligence to better understand how these constructs participate in adolescent development. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Manifestations of Indirect Self-Destructiveness and Dimensions of Emotional Intelligence.

Science.gov (United States)

Tsirigotis, Konstantinos; Łuczak, Joanna

2016-09-01

While indirect self-destructiveness exerts a rather negative influence on the life and psychological and social functioning of the individual, emotional intelligence may have a favourable effect. The aim of this study has been to explore possible relationships between manifestations of indirect self-destructiveness and dimensions of emotional intelligence. A population of 260 individuals (130 females and 130 males) aged 20-30 (mean age of 24.5) was studied by using the Polish version of the Chronic Self-Destructiveness Scale and INTE, i.e., the Polish version of the Assessing Emotions Scale. Manifestations of indirect self-destructiveness show many significant correlations with variables of the INTE, and those correlations are negative. Generally, it can be said that low emotional intelligence is associated with poor psychosocial and social functioning, which, in turn, is associated with indirect self-destructiveness and its manifestations. It seems advisable to use emotional intelligence in the prophylactic and therapeutic work with individuals suffering from various types of disorders, especially the syndrome of indirect self-destructiveness.

Computational intelligence in nuclear engineering

International Nuclear Information System (INIS)

Uhrig, Robert E.; Hines, J. Wesley

2005-01-01

Approaches to several recent issues in the operation of nuclear power plants using computational intelligence are discussed. These issues include 1) noise analysis techniques, 2) on-line monitoring and sensor validation, 3) regularization of ill-posed surveillance and diagnostic measurements, 4) transient identification, 5) artificial intelligence-based core monitoring and diagnostic system, 6) continuous efficiency improvement of nuclear power plants, and 7) autonomous anticipatory control and intelligent-agents. Several Changes to the focus of Computational Intelligence in Nuclear Engineering have occurred in the past few years. With earlier activities focusing on the development of condition monitoring and diagnostic techniques for current nuclear power plants, recent activities have focused on the implementation of those methods and the development of methods for next generation plants and space reactors. These advanced techniques are expected to become increasingly important as current generation nuclear power plants have their licenses extended to 60 years and next generation reactors are being designed to operate for extended fuel cycles (up to 25 years), with less operator oversight, and especially for nuclear plants operating in severe environments such as space or ice-bound locations

Demonstration of artificial intelligence technology for transit railcar diagnostics

Science.gov (United States)

1999-01-01

This report will be of interest to railcar maintenance professionals concerned with improving railcar maintenance fault-diagnostic capabilities through the use of artificial intelligence (AI) technologies. It documents the results of a demonstration ...

Plasma diagnostics using the He I 447.1 nm line at high and low densities

Energy Technology Data Exchange (ETDEWEB)

Gonzalez, Manuel A [Departamento de Fisica Aplicada, E.T.S.I. Informatica, Universidad de Valladolid, 47071 Valladolid (Spain); Ivkovic, Milivoje; Jovicevic, Sonja; Konjevic, Nikola [Institute of Physics, University of Belgrade, 11081 Belgrade, PO Box 68 (Serbia); Gigosos, Marco A; Lara, Natividad, E-mail: manuelgd@termo.uva.es, E-mail: gigosos@coyanza.opt.cie.uva.es [Departamento de Fisica Teorica, Atomica y Optica, Facultad de Ciencias, Universidad de Valladolid, 47071 Valladolid (Spain)

2011-05-18

The broadening of the He I 447.1 nm line and its forbidden components in plasmas is studied using computer simulation techniques and the results are compared with our and other experiments. In these calculations wide ranges of electron densities and temperatures are considered. Experimental measurements are performed with a high electron density pulsed discharge and with a low electron density microwave torch at atmospheric pressure. Both calculations and experimental measurements are extended from previous works towards low electron densities in order to study the accuracy of plasma diagnostics using this line in ranges of interest in different practical applications. The calculation results are compared with experimental profiles registered in plasmas diagnosed using independent techniques. The obtained agreement justifies the use of these line parameters for plasma diagnostics. The influence of self-absorption on line parameters is also analysed. It is shown that the separation between the peaks of the allowed and forbidden components exhibits a clear dependence upon plasma electron density free of self-absorption influence. This allows the peak separation to be used as a good parameter for plasma diagnostics. From the simulation results, a simple fitting formula is applied that permits obtaining the electron number density plasma diagnostics in the range 5 x 10{sup 22}-7 x 10{sup 23} m{sup -3}. At lower densities the fitting of simulated to experimental full profiles is a reliable method for N{sub e} determination.

Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated Learning

Science.gov (United States)

2015-03-01

ARL-SR-0318 ● MAR 2015 US Army Research Laboratory Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated...Adaptive Intelligent Tutoring Systems for Self-Regulated Learning by Robert A Sottilare Human Research and Engineering Directorate, ARL...TITLE AND SUBTITLE Fundamentals of Adaptive Intelligent Tutoring Systems for Self-Regulated Learning 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c

Self Configurable Intelligent Distributed Antenna System

DEFF Research Database (Denmark)

Kumar, Ambuj; Mihovska, Albena Dimitrova; Prasad, Ramjee

2016-01-01

with their respective base stations, spectrum pooling and management at antenna end is not efficient. The situation worsens in Heterogeneous and Dense-net conditions in an Area of Interest (AoI). In this paper, we propose a DAS based intelligent architecture referred to as Self Configurable Intelligent Distributed...

Predictive validity of Perceived Emotional Intelligence on nursing students' self-concept.

Science.gov (United States)

Augusto Landa, José María; López-Zafra, Esther; Aguilar-Luzón, Maria del Carmen; de Ugarte, Maria Fe Salguero

2009-10-01

This study examines the role of Perceived Emotional Intelligence, in nursing students' self-concept, controlling personality dimensions. Self-image is a cognitive component of the self that contains images of who we are, what we want to be and what we express and wish to express to others. Likewise, there is also an emotional and assessable component known as self-esteem. For a profession that requires not only technical expertise but also psychologically oriented care, knowledge about the self in nursing would be crucial to further development and growth of the profession. However, the role of emotions in the formation of nursing professionals has been scarcely studied. One hundred and thirty five undergraduates from nursing studies voluntarily participated in our study. They completed a questionnaire that comprises several scales. Our results show positive correlations between the Clarity and Emotional Repair components of Perceived Emotional Intelligence and all scales of the self-concept scale. Furthermore, we found positive relationships between the Extraversion and Accountability components of personality with almost all the scales of the self-concept and negative relationships with personality and neuroticism components of the self-concept.

Sex differences in estimating multiple intelligences in self and others: a replication in Russia.

Science.gov (United States)

Furnham, Adrian; Shagabutdinova, Ksenia

2012-01-01

This was a crosscultural study that focused on sex differences in self- and other-estimates of multiple intelligences (including 10 that were specified by Gardner, 1999 and three by Sternberg, 1988) as well as in an overall general intelligence estimate. It was one of a programmatic series of studies done in over 30 countries that has demonstrated the female "humility" and male "hubris" effect in self-estimated and other-estimated intelligence. Two hundred and thirty Russian university students estimated their own and their parents' overall intelligence and "multiple intelligences." Results revealed no sex difference in estimates of overall intelligence for both self and parents, but men rated themselves higher on spatial intelligence. This contradicted many previous findings in the area which have shown that men rate their own overall intelligence and mathematical intelligence significantly higher than do women. Regressions indicated that estimates of verbal, logical, and spatial intelligences were the best predictors of estimates of overall intelligence, which is a consistent finding over many studies. Regressions also showed that participants' openness to experience and self-respect were good predictors of intelligence estimates. A comparison with a British sample showed that Russians gave higher mother estimates, and were less likely to believe that IQ tests measure intelligence. Results were discussed in relation to the influence of gender role stereotypes on lay conception of intelligence across cultures.

Towards intelligent diagnostic system employing integration of mathematical and engineering model

International Nuclear Information System (INIS)

Isa, Nor Ashidi Mat

2015-01-01

The development of medical diagnostic system has been one of the main research fields during years. The goal of the medical diagnostic system is to place a nosological system that could ease the diagnostic evaluation normally performed by scientists and doctors. Efficient diagnostic evaluation is essentials and requires broad knowledge in order to improve conventional diagnostic system. Several approaches on developing the medical diagnostic system have been designed and tested since the earliest 60s. Attempts on improving their performance have been made which utilizes the fields of artificial intelligence, statistical analyses, mathematical model and engineering theories. With the availability of the microcomputer and software development as well as the promising aforementioned fields, medical diagnostic prototypes could be developed. In general, the medical diagnostic system consists of several stages, namely the 1) data acquisition, 2) feature extraction, 3) feature selection, and 4) classifications stages. Data acquisition stage plays an important role in converting the inputs measured from the real world physical conditions to the digital numeric values that can be manipulated by the computer system. One of the common medical inputs could be medical microscopic images, radiographic images, magnetic resonance image (MRI) as well as medical signals such as electrocardiogram (ECG) and electroencephalogram (EEG). Normally, the scientist or doctors have to deal with myriad of data and redundant to be processed. In order to reduce the complexity of the diagnosis process, only the significant features of the raw data such as peak value of the ECG signal or size of lesion in the mammogram images will be extracted and considered in the subsequent stages. Mathematical models and statistical analyses will be performed to select the most significant features to be classified. The statistical analyses such as principal component analysis and discriminant analysis as well

Towards intelligent diagnostic system employing integration of mathematical and engineering model

Science.gov (United States)

Isa, Nor Ashidi Mat

2015-05-01

The development of medical diagnostic system has been one of the main research fields during years. The goal of the medical diagnostic system is to place a nosological system that could ease the diagnostic evaluation normally performed by scientists and doctors. Efficient diagnostic evaluation is essentials and requires broad knowledge in order to improve conventional diagnostic system. Several approaches on developing the medical diagnostic system have been designed and tested since the earliest 60s. Attempts on improving their performance have been made which utilizes the fields of artificial intelligence, statistical analyses, mathematical model and engineering theories. With the availability of the microcomputer and software development as well as the promising aforementioned fields, medical diagnostic prototypes could be developed. In general, the medical diagnostic system consists of several stages, namely the 1) data acquisition, 2) feature extraction, 3) feature selection, and 4) classifications stages. Data acquisition stage plays an important role in converting the inputs measured from the real world physical conditions to the digital numeric values that can be manipulated by the computer system. One of the common medical inputs could be medical microscopic images, radiographic images, magnetic resonance image (MRI) as well as medical signals such as electrocardiogram (ECG) and electroencephalogram (EEG). Normally, the scientist or doctors have to deal with myriad of data and redundant to be processed. In order to reduce the complexity of the diagnosis process, only the significant features of the raw data such as peak value of the ECG signal or size of lesion in the mammogram images will be extracted and considered in the subsequent stages. Mathematical models and statistical analyses will be performed to select the most significant features to be classified. The statistical analyses such as principal component analysis and discriminant analysis as well

Towards intelligent diagnostic system employing integration of mathematical and engineering model

Energy Technology Data Exchange (ETDEWEB)

Isa, Nor Ashidi Mat [Imaging and Intelligent System Research Team (ISRT), School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang (Malaysia)

2015-05-15

The development of medical diagnostic system has been one of the main research fields during years. The goal of the medical diagnostic system is to place a nosological system that could ease the diagnostic evaluation normally performed by scientists and doctors. Efficient diagnostic evaluation is essentials and requires broad knowledge in order to improve conventional diagnostic system. Several approaches on developing the medical diagnostic system have been designed and tested since the earliest 60s. Attempts on improving their performance have been made which utilizes the fields of artificial intelligence, statistical analyses, mathematical model and engineering theories. With the availability of the microcomputer and software development as well as the promising aforementioned fields, medical diagnostic prototypes could be developed. In general, the medical diagnostic system consists of several stages, namely the 1) data acquisition, 2) feature extraction, 3) feature selection, and 4) classifications stages. Data acquisition stage plays an important role in converting the inputs measured from the real world physical conditions to the digital numeric values that can be manipulated by the computer system. One of the common medical inputs could be medical microscopic images, radiographic images, magnetic resonance image (MRI) as well as medical signals such as electrocardiogram (ECG) and electroencephalogram (EEG). Normally, the scientist or doctors have to deal with myriad of data and redundant to be processed. In order to reduce the complexity of the diagnosis process, only the significant features of the raw data such as peak value of the ECG signal or size of lesion in the mammogram images will be extracted and considered in the subsequent stages. Mathematical models and statistical analyses will be performed to select the most significant features to be classified. The statistical analyses such as principal component analysis and discriminant analysis as well

An on-line diagnostic expert system

International Nuclear Information System (INIS)

Felkel, L.

1987-01-01

As experience with on-line information systems, experts systems and artificial intelligence tools grows, the authors retreat from the first euphoria that AI could help them solve the problem they were unable to solve with conventional programming. The major effort of the development time goes into building the knowledge-base. There is no such thing as a generic knowledge-base for nuclear power plants as there is, for example, for the diagnosis of a Boeing 747 aircraft. AI-methods, tools and hardware are still in a state which does not optimally lend itself to real-time application. The ability of developing prototype systems to investigate variants otherwise too costly to justify is one advantage that the authors gladly accept. Last, but no least the tools provide a flexible and adaptable user interface (desktop window systems) etc. The development of such tools in a project would be prohibitive and room for experimentation would be limited

Product Line Enabled Intelligent Mobile Middleware

DEFF Research Database (Denmark)

Zhang, Weishan; Kunz, Thomas; Hansen, Klaus Marius

2007-01-01

research project called PLIMM that focuses on user-centered application scenarios. PLIMM is designed based on software product line ideas which make it possible for specialized customization and optimization for different purposes and hardware/software platforms. To enable intelligence, the middleware...... needs access to a range of context models. We model these contexts with OWL, focusing on user-centered concepts. The basic building block of PLIMM is the enhanced BDI agent where OWL context ontology logic reasoning will add indirect beliefs to the belief sets. Our approach also addresses the handling...

Cooperative research and development for artificial intelligence based reactor diagnostic system

International Nuclear Information System (INIS)

Reifman, J.; Wei, T.Y.C.; Abboud, R.G.; Chasensky, T.M.

1994-01-01

Artificial Intelligence (AI) techniques in the form of knowledge-based Expert Systems (ESs) have been proposed to provide on-line decision-making support for plant operators during both normal and emergency conditions. However, in spite of the great interest in these advanced techniques, their application in the diagnosis of large-scale processes has not yet reached its full potential because of limitations of the knowledge base. These limitations include problems with knowledge acquisition and the use of an event-oriented approach for process diagnosis. To investigate the capabilities of this two-level hierarchical knowledge structure, Commonwealth Research Corporation (CRC) and Argonne National Laboratory (ANL)are collaborating on a DOE-sponsored Cooperative Research and Development Agreement (CRADA) project to perform feasibility studies on the proposed diagnostic system. Investigations are being performed in the construction of a physics-based plant level process diagnostic ES and the characterization of component-level fault project is to develop a computer-based system using this Al approach to assist process plant operators during off-normal plant conditions. The proposed computer-based system will use T-H signals complemented by other non-T-H signals available in the data stream to provide the process operator with the component which most likely caused the observed process disturbance. To demonstrate the scale-up feasibility of the proposed diagnostic system it is being developed for use with the Chemical Volume Control System (CVCS) of a nuclear power plant. This is an ongoing multi-year project and the remainder of this paper presents a mid-term status report

Intelligent simulations for on-line transient analysis

International Nuclear Information System (INIS)

Hassberger, J.A.; Lee, J.C.

1987-01-01

A unique combination of simulation, parameter estimation and expert systems technology is applied to the problem of diagnosing nuclear power plant transients. Knowledge-based reasoning is ued to monitor plant data and hypothesize about the status of the plant. Fuzzy logic is employed as the inferencing mechanism and an implication scheme based on observations is developed and employed to handle scenarios involving competing failures. Hypothesis testing is performed by simulating the behavior of faulted components using numerical models. A filter has been developed for systematically adjusting key model parameters to force agreement between simulations and actual plant data. Pattern recognition is employed as a decision analysis technique for choosing among several hypotheses based on simulation results. An artificial Intelligence framework based on a critical functions approach is used to deal with the complexity of a nuclear plant system. Detailed simulation results of various nuclear power plant accident scenarios are presented to demonstrate the performance and robustness properties of the diagnostic algorithm developed. The system is shown to be successful in diagnosing and identifying fault parameters for a normal reactor scram, loss-of-feedwater (LOFW) and small loss-of-coolant (LOCA) transients occurring together in a scenario similar to the accident at Three Mile Island

Artificial intelligence system for technical diagnostics of photomasks

OpenAIRE

Kozin A. A.; Kozina Yu. Yu.

2012-01-01

The developed artificial intelligence system has a high level of noise immunity, so its inclusion in the hardware and software for technical diagnostics of photomasks will reduce the hardware requirements for its execution, and thereby reduce the cost of the complex. As a result it will allow to make a small-scale production profitable.

Temperature diagnostic line ratios of Fe XVII

International Nuclear Information System (INIS)

Raymond, J.C.; Smith, B.W.; Los Alamos National Lab., NM)

1986-01-01

Based on extensive calculations of the excitation rates of Fe XVII, four temperature-sensitive line ratios are investigated, paying special attention to the contribution of resonances to the excitation rates and to the contributions of dielectronic recombination satellites to the observed line intensities. The predictions are compared to FPCS observations of Puppis A and to Solar Maximum Mission (SMM) and SOLEX observations of the sun. Temperature-sensitive line ratios are also computed for emitting gas covering a broad temperature range. It is found that each ratio yields a differently weighted average for the temperature and that this accounts for some apparent discrepancies between the theoretical ratios and solar observations. The effects of this weighting on the Fe XVII temperature diagnostics and on the analogous Fe XXIV/Fe XXV satellite line temperature diagnostics are discussed. 27 references

Artificial intelligence system for technical diagnostics of photomasks

Directory of Open Access Journals (Sweden)

Kozin A. A.

2012-02-01

Full Text Available The developed artificial intelligence system has a high level of noise immunity, so its inclusion in the hardware and software for technical diagnostics of photomasks will reduce the hardware requirements for its execution, and thereby reduce the cost of the complex. As a result it will allow to make a small-scale production profitable.

Relationships between self-reported physical and mental health and intelligence performance across adulthood.

Science.gov (United States)

Perlmutter, M; Nyquist, L

1990-07-01

One hundred and twenty-seven adults between 20 and 90 years of age were tested on the Wechsler Adult Intelligence Scale for their digit span memory (forward and backward), fluid intelligence (block design and digit symbol), and crystallized intelligence (vocabulary and information), as well as assessed for self-reported health (Cornell Medical Index, Zung Depression Scale, health habits, and self-ratings of physical and mental health). As expected, across the entire age range there was no correlation between age and digit span memory (r = .03), a strong negative correlation between age and fluid intelligence (r = -.78), and a modest positive correlation between age and crystallized intelligence (r = .27). In addition, older adults reported more physical (r = .36) and mental (r = .32) health problems than did younger adults. Of special interest was the finding that both self-reported physical and mental health accounted for significant variance in intelligence performance, particularly in older adults. Moreover, self-reported health accounted for a considerable portion of observed variance, even when age differences in self-reported health were statistically controlled.

The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program.

Science.gov (United States)

Collado-Mesa, Fernando; Alvarez, Edilberto; Arheart, Kris

2018-02-21

Advances in artificial intelligence applied to diagnostic radiology are predicted to have a major impact on this medical specialty. With the goal of establishing a baseline upon which to build educational activities on this topic, a survey was conducted among trainees and attending radiologists at a single residency program. An anonymous questionnaire was distributed. Comparisons of categorical data between groups (trainees and attending radiologists) were made using Pearson χ 2 analysis or an exact analysis when required. Comparisons were made using the Wilcoxon rank sum test when the data were not normally distributed. An α level of 0.05 was used. The overall response rate was 66% (69 of 104). Thirty-six percent of participants (n = 25) reported not having read a scientific medical article on the topic of artificial intelligence during the past 12 months. Twenty-nine percent of respondents (n = 12) reported using artificial intelligence tools during their daily work. Trainees were more likely to express doubts on whether they would have pursued diagnostic radiology as a career had they known of the potential impact artificial intelligence is predicted to have on the specialty (P = .0254) and were also more likely to plan to learn about the topic (P = .0401). Radiologists lack exposure to current scientific medical articles on artificial intelligence. Trainees are concerned by the implications artificial intelligence may have on their jobs and desire to learn about the topic. There is a need to develop educational resources to help radiologists assume an active role in guiding and facilitating the development and implementation of artificial intelligence tools in diagnostic radiology. Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Self-diagnosis of malaria by travelers and expatriates: assessment of malaria rapid diagnostic tests available on the internet.

Science.gov (United States)

Maltha, Jessica; Gillet, Philippe; Heutmekers, Marloes; Bottieau, Emmanuel; Van Gompel, Alfons; Jacobs, Jan

2013-01-01

In the past malaria rapid diagnostic tests (RDTs) for self-diagnosis by travelers were considered suboptimal due to poor performance. Nowadays RDTs for self-diagnosis are marketed and available through the internet. The present study assessed RDT products marketed for self-diagnosis for diagnostic accuracy and quality of labeling, content and instructions for use (IFU). Diagnostic accuracy of eight RDT products was assessed with a panel of stored whole blood samples comprising the four Plasmodium species (n = 90) as well as Plasmodium negative samples (n = 10). IFUs were assessed for quality of description of procedure and interpretation and for lay-out and readability level. Errors in packaging and content were recorded. Two products gave false-positive test lines in 70% and 80% of Plasmodium negative samples, precluding their use. Of the remaining products, 4/6 had good to excellent sensitivity for the diagnosis of Plasmodium falciparum (98.2%-100.0%) and Plasmodium vivax (93.3%-100.0%). Sensitivity for Plasmodium ovale and Plasmodium malariae diagnosis was poor (6.7%-80.0%). All but one product yielded false-positive test lines after reading beyond the recommended reading time. Problems with labeling (not specifying target antigens (n = 3), and content (desiccant with no humidity indicator (n = 6)) were observed. IFUs had major shortcomings in description of test procedure and interpretation, poor readability and lay-out and user-unfriendly typography. Strategic issues (e.g. the need for repeat testing and reasons for false-negative tests) were not addressed in any of the IFUs. Diagnostic accuracy of RDTs for self-diagnosis was variable, with only 4/8 RDT products being reliable for the diagnosis of P. falciparum and P. vivax, and none for P. ovale and P. malariae. RDTs for self-diagnosis need improvements in IFUs (content and user-friendliness), labeling and content before they can be considered for self-diagnosis by the traveler.

Investigation of the Effectiveness of Emotional Intelligence Training on the Self-esteem and Mental Health in Boy Deaf Students

Directory of Open Access Journals (Sweden)

Mohammad A'shouri

2014-04-01

Full Text Available Objective: The purpose of the present research was to investigation of the effectiveness of emotional intelligence training on the self-esteem of deaf students in Tehran province. Materials & Methods: The present research was an experimental study by pre-test, post-test design with control group. The study population included of boys deaf students from secondary schools (2ed grade in Tehran province. Subjects were selected randomly by cluster sampling method. In this study were participated 40 students. Subjects were divided into two groups by randomly (experimental and control group, each of which was consisted of 20 students. Experimental group received emotional intelligence training in 12 sessions while control group did not. The instruments of present research were Wechsler intelligence scale for children and Cooper Smith self-esteem questionnaire. The obtained data were statistically analyzed by MANCOVA. Results: The findings of this research showed that there was significant increase in self-esteem scores mean of experimental group in the post intervention in comparison with control group (P<0.05. Also scores mean of experimental group increased significantly in ego self-esteem, social self-esteem, family self-esteem and academic self-esteem (P<0.05. Conclusion: The emotional intelligence training program led to improvement the self-esteem and their subscales of deaf students. Therefore, planning for providing of emotional intelligence training is a particular importance.

A Study On Relationship Between Emotional Intelligence And Self-Esteem Among Secondary School Children

OpenAIRE

Sujatha, B.

2015-01-01

The major objective of this article is to establish a relationship between emotional intelligence and self-esteem among secondary school students. Emotional intelligence (EI) is the ability to recognize one's own and other people's emotions, to discriminate between different feelings and label them appropriately, and to use emotional information to guide thinking and behavior (by Daniel Goleman). Self-esteem reflects a person's overall subjective emotional evaluation of his or her own worth. ...

Effect of Emotional Intelligence on Student Learning Achievement

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Hendra Hadiwijaya

2017-08-01

Full Text Available The Effect of Emotional Intelligence Against Student Achievement aims to determine the effect of emotional intelligence which consists of self awareness, self management, Motivation, social awareness, relationship management partially and simultaneously on learning achievement. Respondents are students of SMP Negeri 4 Lalan Bumi Agung  Vilage Musi Banyuasin Regency to be 135 people. Methods of data analysis using regression analysis techniques. Partial assay results (t-test showed emotional intelligence consists of Self awareness, self management, Motivation, social awareness, relationship management positive and significant effect on learning achievement. Simultaneous Test Results (Test-F emotional intelligence consists of Self awareness, self management, motivation, social awareness, relationship management and significant positive effect on learning achievement. Social awareness is more dominant influence on learning achievement.

Gender, "g", and Fixed versus Growth Intelligence Mindsets as Predictors of Self-Estimated Domain Masculine Intelligence (DMIQ)

Science.gov (United States)

Storek, Josephine; Furnham, Adrian

2013-01-01

Over 120 participants completed three timed intelligence tests, a self-estimated Domain Masculine (DMIQ) Intelligence scale, and a mindset "beliefs about intelligence" measure (Dweck, 2012) to examine correlates of the Hubris-Humility Effect (HHE) which shows males believe they are more intelligent than females. As predicted males gave…

Perceived Emotional Intelligence, Self-Esteem and Life Satisfaction in Adolescents

Directory of Open Access Journals (Sweden)

Lourdes Rey

2011-07-01

Full Text Available The present study examined the relationship between perceived emotional intelligence, selfesteem and life satisfaction in a sample of 316 Spanish adolescents (179 females and 137 males, ranging in age from 14 to 18. Demographic information was collected, along with data through the use of three self-report measures: the Trait Meta-Mood Scale, the Rosenberg Self-Esteem Scale and the Satisfaction with Life Scale. As expected, perceived emotional dimensions, particularly mood clarity and repair, showed positive associations with life satisfaction. Self-esteem also correlated significantly and positively with levels of adolescents´ satisfaction with life. More interestingly, results of structural equation modelling indicated that mood clarity and emotional repair had a significant direct and indirect link (via selfesteem with life satisfaction in adolescents. The present study contributes to an emerging understanding of the underlying process between perceived emotional intelligence and life satisfaction. Our findings encourage moving beyond the examination of direct association between perceived emotional intelligence and life satisfaction and focusing on the role of potential mechanisms such as self-esteem involved in the link between perceived emotional intelligence and life satisfaction in adolescents. Implications of the present findings for future research are discussed, as well as potential interventions for increasing subjective well-being in adolescents.

The impact of emotional intelligence, self-esteem, and self-image on romantic communication over MySpace.

Science.gov (United States)

Dong, Qingwen; Urista, Mark A; Gundrum, Duane

2008-10-01

A study based on a survey of 240 individual MySpace users found that low self-esteem encourages young adults to engage in romantic communication (such as having intimate communication with the opposite sex and looking for romantic partners) while higher emotional intelligence discourages such activity. The results also suggested that those who have higher self-image, such as thinking themselves attractive and happy with their appearance, tend to engage in romantic communication. Limitations of the study and suggestion for future study are discussed.

Emotional Intelligence and Self-Esteem as Predictors of Teacher Self-Efficacy

Science.gov (United States)

Sahin, Harun

2017-01-01

Teacher self-efficacy is related to teachers or pre-service teachers feeling competent in their profession. The purpose of this study is to examine the relationship between the pre-service teachers' self-efficacy perceptions and their emotional intelligence and self-esteem. The study group of the current research comprised a total of 212…

Self-esteem of physical education students: sex differences and relationships with intelligence

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Monika Guszkowska

2015-11-01

Full Text Available Background The aim of the study was to determine the level of self-esteem of physical education and sport students, its diversification according to sex, as well as relationships between self-esteem and the following variables: fluid intelligence, emotional intelligence, social intelligence, and academic performance. Participants and procedure A total of 385 first-year undergraduates aged 18-26 years studying physical education and sport at the University of Physical Education in Warsaw participated in the study. The following research tools were used: the Multidimensional Self-Esteem Inventory, Raven’s Standard Progressive Matrices Plus, the Emotional Intelligence Questionnaire, and the Social Competence Questionnaire. The average of marks obtained for all courses taken during the first year was adopted as an indicator of academic performance. Results The obtained results attest to the high self-esteem of the first-year students. Male students gave higher ratings for their body appearance and body functioning, personal power and likeability, self-control, and competence. They also indicated a higher level of global self-esteem and identity integration. The highest number of significant positive correlations connected self-esteem and emotional intelligence; slightly fewer correlations existed between self-esteem and social competence. The lowest number of significant relationships was established for fluid intelligence. Only one positive predictor of average evaluations was established in male students (self-control and female students (competence. Conclusions The profile of self-esteem of physical education students demonstrates their high self-esteem, especially in areas related to their field of study. Some variations in the components of self-esteem of male and female students reflect the differences between sexes typical for the Polish adult population.

Phenotypic, genetic, and environmental relationships between self-reported talents and measured intelligence.

Science.gov (United States)

Schermer, Julie Aitken; Johnson, Andrew M; Jang, Kerry L; Vernon, Philip A

2015-02-01

The relationship between self-report abilities and measured intelligence was examined at both the phenotypic (zero-order) level as well as at the genetic and environmental levels. Twins and siblings (N = 516) completed a timed intelligence test and a self-report ability questionnaire, which has previously been found to produce 10 factors, including: politics, interpersonal relationships, practical tasks, intellectual pursuits, academic skills, entrepreneur/business, domestic skills, vocal abilities, and creativity. At the phenotypic level, the correlations between the ability factor scores and intelligence ranged from 0.01 to 0.42 (between self-report academic abilities and verbal intelligence). Further analyses found that some of the phenotypic relationships between self-report ability scores and measured intelligence also had significant correlations at the genetic and environmental levels, suggesting that some of the observed relationships may be due to common genetic and/or environmental factors.

The Prediction of Tendency to Substance Abuse on the Basis of Self Esteem and Components of Emotional Intelligence

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farzad nasiry

2015-02-01

Full Text Available Objective: The aim of present study was the prediction of tendency to substance abuse on the basis of self esteem and components of emotional intelligence. Method: In this descriptive-correlational Study our sample included 153 students of Azad university of qorveh which selected by simple random sampling. APS, Rosenberg’s self esteem scale and Bradberry’s emotional intelligence questionnaires administered among selected sample. Results: Research findings represented that there are negative significant correlation between tendency to substance abuse and self esteem, also between tendency to substance abuse and self management and relationship management. Conclusion: Results of this study are showing the predictor role of self esteem, self-management and relationship management in tendency to substance abuse.

An on-line gas control system using an artificial intelligence language: PROLOG II

International Nuclear Information System (INIS)

Lai, C.

1990-01-01

An application of Artificial Intelligence to a real physics experiment is presented. This allows comparison with classical programming techniques. The PROLOG language appears as a convenient on-line language, easily interfaced to the low level service routines, for which algorithmic languages can still be used. Steering modules have been written for a gas acquisition and analysis program, and for a control system with graphic human interface. This system includes safety rules and automatic action sequences

Estimates of general and emotional intelligence for self and parents in Iran.

Science.gov (United States)

Yousefi, Farideh

2009-08-01

Estimations of IQ and emotional intelligence for self and parents were investigated. Previous studies in both Western and African cultures have found significant sex differences in self-estimates of IQ and emotional intelligence, while IQ was rated higher for fathers than mothers. These prior results suggest the findings should be invariant across culture, and were expected to be replicated here in a predominantly Islamic society with great sociopolitical changes with respect to the Islamic Revolution. 187 Iranian university students estimated their own and their parents' scores on IQ and 15 facets of emotional intelligence on a normal distribution graph. The present results showed no significant sex differences in self-estimates of these variables, while fathers were rated higher on IQ. The implications of these findings are offered in light of sociopolitical changes during the last three decades in Iran.

Academic Self-Efficacy, Emotional Intelligence, GPA and Academic Procrastination in Higher Education

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Meirav Hen

2014-05-01

Full Text Available Academic procrastination has been seen as an impediment to students' academic success because it decreases the quality and quantity of learning while increasing the severity of negative outcomes in students’ lives. Research findings suggest that academic procrastination is closely related to motivation variables such as self-efficacy and self-regulated learning, and with higher levels of anxiety, stress, and illness. Emotional Intelligence is the ability to assess, regulate, and utilize emotions. It has been found to be associated with academic self-efficacy and a variety of better outcomes, including academic performance. The purpose of the present study was to explore and provide an initial understanding to the relationships between emotional intelligence, academic procrastination and GPA, as mediated by academic selfefficacy. A convenience sampling of 287 college students was collected. Structural equation modeling analysis using AMOS was conducted to examine the mediation role of academic selfefficacy between emotional intelligence, procrastination and GPA. Findings indicated that Emotional intelligence has a negative indirect effect on academic procrastination and a positive indirect effect on academic performance. Further research is needed to explore the effect of emotional intelligence on academic procrastination and performance, and to further understand its implications for academic settings.

On-line diagnostic techniques for air-operated control valves based on time series analysis

International Nuclear Information System (INIS)

Ito, Kenji; Matsuoka, Yoshinori; Minamikawa, Shigeru; Komatsu, Yasuki; Satoh, Takeshi.

1996-01-01

The objective of this research is to study the feasibility of applying on-line diagnostic techniques based on time series analysis to air-operated control valves - numerous valves of the type which are used in PWR plants. Generally the techniques can detect anomalies by failures in the initial stages for which detection is difficult by conventional surveillance of process parameters measured directly. However, the effectiveness of these techniques depends on the system being diagnosed. The difficulties in applying diagnostic techniques to air-operated control valves seem to come from the reduced sensitivity of their response as compared with hydraulic control systems, as well as the need to identify anomalies in low level signals that fluctuate only slightly but continuously. In this research, simulation tests were performed by setting various kinds of failure modes for a test valve with the same specifications as of a valve actually used in the plants. Actual control signals recorded from an operating plant were then used as input signals for simulation. The results of the tests confirmed the feasibility of applying on-line diagnostic techniques based on time series analysis to air-operated control valves. (author)

The Impact of Emotional Intelligence and Self-Efficacy on the ...

African Journals Online (AJOL)

Age ranges of the participants were 26- 55 years with a mean of 38.06 years and standard deviation of 8.34. Four scales of measurement were utilized to measure the variables of the study. These are the Swinburne University Emotional Intelligence Test (SUEIT), the General Self-efficacy scale, the Job Performance Scale ...

A modular multi-microcomputer system for on-line vibration diagnostics

International Nuclear Information System (INIS)

Saedtler, E.

1988-01-01

A new modular multi-microprocessor system for on-line vibration monitoring and diagnostics of PWRs is described. The aim of the system is to make feasible an early detection of increasing failures in relevant regions of a reactor plant, to verify the mechanical integrity of the investigated components, and to improve therefore the operational safety of the plant. After a discussion of the implemented surveillance methods and algorithms, which are based on hierarchical structured identification (estimation) and statistical pattern recognition tools, the system architecture (software and hardware) is portrayed. The classification scheme itself works sequential so that samples (or features) can arrive on-line. This on-line classification is important in order to take necessary actions in time. Furthermore, the system has learning capabilities, which means it is adaptable to different, varying states and plant conditions. The main features of the system are presented and its contribution to an automation of complex surveillance and monitoring tasks is shown. (author)

A Comprehensive Diagnostic Framework for Evaluating Business Intelligence and Analytics Effectiveness

Directory of Open Access Journals (Sweden)

Neil Foshay

2015-09-01

Full Text Available Business intelligence and analytics (BIA initiatives are costly, complex and experience high failure rates. Organizations require effective approaches to evaluate their BIA capabilities in order to develop strategies for their evolution. In this paper, we employ a design science paradigm to develop a comprehensive BIA effectiveness diagnostic (BIAED framework that can be easily operationalized. We propose that a useful BIAED framework must assess the correct factors, should be deployed in the proper process context and acquire the appropriate input from different constituencies within an organization. Drawing on the BIAED framework, we further develop an online diagnostic toolkit that includes a comprehensive survey instrument. We subsequently deploy the diagnostic mechanism within three large organizations in North America (involving over 1500 participants and use the results to inform BIA strategy formulation. Feedback from participating organizations indicates that BIA diagnostic toolkit provides insights that are essential inputs to strategy development. This work addresses a significant research gap in the area of BIA effectiveness assessment.

Design considerations for on-line vibration diagnostic systems

International Nuclear Information System (INIS)

Branagan, L.A.; Schjeibel, J.R.

1989-01-01

The decisions made in the design of a data system for on-line vibration diagnostic system in power plants define how well the system will meet its intended goals. Direct use of the data for performing troubleshooting or developing operating correlations requires an understanding of the subtle impact of the design decisions incorporated in the data system. A data system includes data acquisition, data storage, and data retrieval. Data acquisition includes the selection of sensors, of vibration measurement modes, and of the time stamping format, and the arrangement of data collection cycles. Data storage requires the evaluation of data compression options and of data segregation. Data retrieval design requires an understanding of the data storage and acquisition techniques. Each of these options and design decisions involves compromises, many of which are discussed in this paper. Actual and synthetic data are presented to illustrate these points. The authors' experience with multiple data collection cycles, with frequent monitoring, and with storage by exception suggests that these techniques can be developed into an effective diagnostic system

Experiences with 'on-line' diagnostic instrumentation in nuclear power plants

International Nuclear Information System (INIS)

Gopal, R.; Ciaramitaro, W.; Smith, J.R.

1981-01-01

Over the past several years, Westinghouse has developed a coordinated system of on-line diagnostic instrumentation for the acquisition and analysis of data for diagnostics and incipient failure detection of critical plant equipment and systems. Primary motivation for this work is to improve Nuclear Steam Supply System (NSSS) availability and maintainability through the detection of malfunctions at their inception. These systems include: 1) Acoustic leak monitoring for detection and location of leaks in the primary system pressure boundary and other piping systems in PWR's; 2) Metal impact monitoring for detection of loose debris in the reactor vessel and steam generators; 3) Nuclear noise monitoring for monitoring core barrel vibration. Summarized in this paper are some of the features of the systems and inplant experience. (author)

The development of the intelligent diagnostic expert system for high power dye-laser MOPA system

International Nuclear Information System (INIS)

Liu Lianhua; Yang Wenxi; Zhang Xiaowei; Dan Yongjun

2014-01-01

A intelligent diagnostic expert system was required to simulate the expert thinking process of solving problem in experiment and to real-time judge the running state of the experiment system. The intelligent diagnostic expert system for dye-laser MOPA system was build with the modular design of separated knowledge base and inference engine, the RETE algorithm rules match, the asynchronous operation, and multithreading technology. The experiment result indicated that the system could real-time analysis and diagnose the running state of dye-laser MOPA system with advantages of high diagnosis efficiency, good instantaneity and strong expansibility. (authors)

Study on Fault Diagnostics of a Turboprop Engine Using Inverse Performance Model and Artificial Intelligent Methods

Science.gov (United States)

Kong, Changduk; Lim, Semyeong

2011-12-01

Recently, the health monitoring system of major gas path components of gas turbine uses mostly the model based method like the Gas Path Analysis (GPA). This method is to find quantity changes of component performance characteristic parameters such as isentropic efficiency and mass flow parameter by comparing between measured engine performance parameters such as temperatures, pressures, rotational speeds, fuel consumption, etc. and clean engine performance parameters without any engine faults which are calculated by the base engine performance model. Currently, the expert engine diagnostic systems using the artificial intelligent methods such as Neural Networks (NNs), Fuzzy Logic and Genetic Algorithms (GAs) have been studied to improve the model based method. Among them the NNs are mostly used to the engine fault diagnostic system due to its good learning performance, but it has a drawback due to low accuracy and long learning time to build learning data base if there are large amount of learning data. In addition, it has a very complex structure for finding effectively single type faults or multiple type faults of gas path components. This work builds inversely a base performance model of a turboprop engine to be used for a high altitude operation UAV using measured performance data, and proposes a fault diagnostic system using the base engine performance model and the artificial intelligent methods such as Fuzzy logic and Neural Network. The proposed diagnostic system isolates firstly the faulted components using Fuzzy Logic, then quantifies faults of the identified components using the NN leaned by fault learning data base, which are obtained from the developed base performance model. In leaning the NN, the Feed Forward Back Propagation (FFBP) method is used. Finally, it is verified through several test examples that the component faults implanted arbitrarily in the engine are well isolated and quantified by the proposed diagnostic system.

Intelligent Decision Technologies : Proceedings of the 4th International Conference on Intelligent Decision Technologies

CERN Document Server

Watanabe, Toyohide; Phillips-Wren, Gloria; Howlett, Robert; Jain, Lakhmi

2012-01-01

The Intelligent Decision Technologies (IDT) International Conference encourages an interchange of research on intelligent systems and intelligent technologies that enhance or improve decision making. The focus of IDT is interdisciplinary and includes research on all aspects of intelligent decision technologies, from fundamental development to real applications. IDT has the potential to expand their support of decision making in such areas as finance, accounting, marketing, healthcare, medical and diagnostic systems, military decisions, production and operation, networks, traffic management, crisis response, human-machine interfaces, financial and stock market monitoring and prediction, and robotics. Intelligent decision systems implement advances in intelligent agents, fuzzy logic, multi-agent systems, artificial neural networks, and genetic algorithms, among others.  Emerging areas of active research include virtual decision environments, social networking, 3D human-machine interfaces, cognitive interfaces,...

NEW STRONG-LINE ABUNDANCE DIAGNOSTICS FOR H II REGIONS: EFFECTS OF κ-DISTRIBUTED ELECTRON ENERGIES AND NEW ATOMIC DATA

Energy Technology Data Exchange (ETDEWEB)

Dopita, Michael A.; Sutherland, Ralph S.; Nicholls, David C.; Kewley, Lisa J.; Vogt, Frédéric P. A., E-mail: Michael.Dopita@anu.edu.au [Research School of Astronomy and Astrophysics, Australian National University, Cotter Rd., Weston ACT 2611 (Australia)

2013-09-01

Recently, Nicholls et al., inspired by in situ observations of solar system astrophysical plasmas, suggested that the electrons in H II regions are characterized by a κ-distribution of energies rather than a simple Maxwell-Boltzmann distribution. Here, we have collected together new atomic data within a modified photoionization code to explore the effects of both the new atomic data and the κ-distribution on the strong-line techniques used to determine chemical abundances in H II regions. By comparing the recombination temperatures (T {sub rec}) with the forbidden line temperatures (T {sub FL}), we conclude that κ ∼ 20. While representing only a mild deviation from equilibrium, this result is sufficient to strongly influence abundances determined using methods that depend on measurements of the electron temperature from forbidden lines. We present a number of new emission line ratio diagnostics that cleanly separate the two parameters determining the optical spectrum of H II regions—the ionization parameter q or U and the chemical abundance, 12+log(O/H). An automated code to extract these parameters is presented. Using the homogeneous data set from van Zee et al., we find self-consistent results between all of these different diagnostics. The systematic errors between different line ratio diagnostics are much smaller than those found in the earlier strong-line work. Overall, the effect of the κ-distribution on the strong-line abundances derived solely on the basis of theoretical models is rather small.

The application of artificial intelligence chemistry diagnostic system to nuclear power plants

International Nuclear Information System (INIS)

Chen Meizhen

1996-01-01

By processing water chemistry data to diagnose sensor and equipment malfunctions in realtime, artificial intelligence chemistry diagnostic system helps to reduce the plant downtime due to steam generator tubing failures and other accidents. A typical processing system of water chemistry data is presented

Self-Assessed Intelligence: Inter-Ethnic, Rural-Urban, and Sex Differences in Malaysia

Science.gov (United States)

Swami, Viren; Furnham, Adrian

2010-01-01

The present study examined inter-ethnic, rural-urban, and sex differences in self-assessed intelligence (SAI) in a Malaysian general population sample. In total, 633 individuals varying in rural or urban location, ethnicity (Malay, Kadazan, and Bajau), and sex (women versus men) provided their self-assessed overall intelligence and ten multiple…

Current Directional Protection of Series Compensated Line Using Intelligent Classifier

Directory of Open Access Journals (Sweden)

M. Mollanezhad Heydarabadi

2016-12-01

Full Text Available Current inversion condition leads to incorrect operation of current based directional relay in power system with series compensated device. Application of the intelligent system for fault direction classification has been suggested in this paper. A new current directional protection scheme based on intelligent classifier is proposed for the series compensated line. The proposed classifier uses only half cycle of pre-fault and post fault current samples at relay location to feed the classifier. A lot of forward and backward fault simulations under different system conditions upon a transmission line with a fixed series capacitor are carried out using PSCAD/EMTDC software. The applicability of decision tree (DT, probabilistic neural network (PNN and support vector machine (SVM are investigated using simulated data under different system conditions. The performance comparison of the classifiers indicates that the SVM is a best suitable classifier for fault direction discriminating. The backward faults can be accurately distinguished from forward faults even under current inversion without require to detect of the current inversion condition.

Home Country National Intelligence and Self-Employment Rates among Immigrants in Norway

Science.gov (United States)

Vinogradov, Evgueni; Kolvereid, Lars

2010-01-01

The level of self-employment varies significantly among immigrants from different countries of origin. The objective of this research is to examine the relationship between home-country national intelligence and self-employment rates among first generation immigrants in Norway. Empirical secondary data on self-employment among immigrants from 117…

Density dependence of line intensities and application to plasma diagnostics

International Nuclear Information System (INIS)

Masai, Kuniaki.

1993-02-01

Electron density dependence of spectral lines are discussed in view of application to density diagnostics of plasmas. The dependence arises from competitive level population processes, radiative and collisional transitions from the excited states. Results of the measurement on tokamak plasmas are presented to demonstrate the usefulness of line intensity ratios for density diagnostics. Also general characteristics related to density dependence are discussed with atomic-number scaling for H-like and He-like systems to be helpful for application to higher density plasmas. (author)

THE PSYCHODIAGNOSTICS OF THE EMOTIONAL INTELLIGENCE DEVELOPMENT OF INDIVIDUALS AT THE SENIOR SCHOOL AGE

Directory of Open Access Journals (Sweden)

I. V. Opanasyuk

2015-03-01

Full Text Available Background. The article deals with the phenomenon of “emotional intelligence” and its characteristic features at the senior school age. It is proved that the emotional intelligence enables senior pupils to reduce the impact of negative feelings with the help of the control over the situation and their emotions. The topicality of the problem is determined by the fact that the emotional intelligence is one of the prerequisites to the formation of the senior pupils’ personality, their ability to ensure and regulate the acquired experience, as well as the ability of self-identi?cation. Objective. The purpose of the study is to determine the level of the senior pupils’ emotional intelligence development, as well as to analyze the nature of the interrelation of its components. The set aim presupposes the ful?llment of the following tasks: 1 to analyze the content characteristic feature of the phenomenon of “emotional intelligence” and the levels of its development among the senior pupils; 2 to carry out the diagnostics of the development of the senior pupils’ emotional intelligence; 3 to identify the relationships between the emotional intelligence and its components on the basis of the empirical researches. Method. The research tasks have determined the sample of 420 pupils (15-17 years old representing various schools of the Ivano-Frankivsk region. The diagnostics of emotional barriers in interpersonal communication (V.V. Boyko; the diagnostics of emotional intelligence (N. Hall; the diagnostics of the emotional orientation of the individual (B.I. Dodonov; the emotional intelligence questionnaire “EmIn” (D.V. Lyusin. The mathematical processing of the above-mentioned test methods was conducted with the help of the correlation and factor analysis. Results. The research identi?es signi?cant relationships between the emotional intelligence components. The emotional intelligence correlates with understanding one’s own and others�

Personality and intelligence: persistence, not self-directedness, cooperativeness or self-transcendence, is related to twins’ cognitive abilities

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Fariba Mousavi

2015-08-01

Full Text Available Background. A person-centered approach focusing on the interaction of an individual’s temperament-character-life events is essential in the path of individuals’ well-being. In this context, three character traits, Self-directedness (e.g., self-acceptance, self-control, goal-directed behavior, Cooperativeness (e.g., social affiliation, social tolerance, empathy and helpfulness and Self-transcendence (e.g., spiritual acceptance, transpersonal identification, measured using Cloninger’s model of personality are suggested to help the individual to regulate and resolve the conflicts derived from her/his temperament combinations as a reaction to life events. However, if character is related to the individual’s cognitive ability, then this association might limit any intervention that focuses on character development. We used data from the Child and Adolescent Twin Study in Sweden (CATSS to investigate the relationship between personality and cognitive ability.Method. The sample consisted of 370 15-year-old twins (159 girls/211 boys, 192 of whom screen-positive with various types of mental health problems. We used the Temperament and Character Inventory to measure personality and the Wechsler Intelligence Scales for Children (WISC-IV to measure intelligence. The relationship was investigated using correlation analyses using random-selected twins from each dyad and separately for monozygotic and dizygotic twins. Additional analyses investigated the genetic and environmental effects on personality and cognitive ability in this specific sample.Results. There were no significant correlations between the WISC-IV indices and any of the character traits (i.e., Self-directedness, Cooperativeness, and Self-transcendence. Persistence was significantly related, if weak, to four WISC-IV indices: Verbal Comprehension, Perceptual Reasoning, Working Memory, and the Full WISC-IV Scale. Post-hoc cross-twin/cross-trait analyses showed that the Persistence

Personality and intelligence: persistence, not self-directedness, cooperativeness or self-transcendence, is related to twins' cognitive abilities.

Science.gov (United States)

Mousavi, Fariba; Rozsa, Sandor; Nilsson, Thomas; Archer, Trevor; Anckarsäter, Henrik; Garcia, Danilo

2015-01-01

Background. A person-centered approach focusing on the interaction of an individual's temperament-character-life events is essential in the path of individuals' well-being. In this context, three character traits, Self-directedness (e.g., self-acceptance, self-control, goal-directed behavior), Cooperativeness (e.g., social affiliation, social tolerance, empathy and helpfulness) and Self-transcendence (e.g., spiritual acceptance, transpersonal identification), measured using Cloninger's model of personality are suggested to help the individual to regulate and resolve the conflicts derived from her/his temperament combinations as a reaction to life events. However, if character is related to the individual's cognitive ability, then this association might limit any intervention that focuses on character development. We used data from the Child and Adolescent Twin Study in Sweden (CATSS) to investigate the relationship between personality and cognitive ability. Method. The sample consisted of 370 15-year-old twins (159 girls/211 boys), 192 of whom screen-positive with various types of mental health problems. We used the Temperament and Character Inventory to measure personality and the Wechsler Intelligence Scales for Children (WISC-IV) to measure intelligence. The relationship was investigated using correlation analyses using random-selected twins from each dyad and separately for monozygotic and dizygotic twins. Additional analyses investigated the genetic and environmental effects on personality and cognitive ability in this specific sample. Results. There were no significant correlations between the WISC-IV indices and any of the character traits (i.e., Self-directedness, Cooperativeness, and Self-transcendence). Persistence was significantly related, if weak, to four WISC-IV indices: Verbal Comprehension, Perceptual Reasoning, Working Memory, and the Full WISC-IV Scale. Post-hoc cross-twin/cross-trait analyses showed that the Persistence-cognitive ability

Personality and intelligence: persistence, not self-directedness, cooperativeness or self-transcendence, is related to twins’ cognitive abilities

Science.gov (United States)

Mousavi, Fariba; Rozsa, Sandor; Nilsson, Thomas; Archer, Trevor; Anckarsäter, Henrik

2015-01-01

Background. A person-centered approach focusing on the interaction of an individual’s temperament-character-life events is essential in the path of individuals’ well-being. In this context, three character traits, Self-directedness (e.g., self-acceptance, self-control, goal-directed behavior), Cooperativeness (e.g., social affiliation, social tolerance, empathy and helpfulness) and Self-transcendence (e.g., spiritual acceptance, transpersonal identification), measured using Cloninger’s model of personality are suggested to help the individual to regulate and resolve the conflicts derived from her/his temperament combinations as a reaction to life events. However, if character is related to the individual’s cognitive ability, then this association might limit any intervention that focuses on character development. We used data from the Child and Adolescent Twin Study in Sweden (CATSS) to investigate the relationship between personality and cognitive ability. Method. The sample consisted of 370 15-year-old twins (159 girls/211 boys), 192 of whom screen-positive with various types of mental health problems. We used the Temperament and Character Inventory to measure personality and the Wechsler Intelligence Scales for Children (WISC-IV) to measure intelligence. The relationship was investigated using correlation analyses using random-selected twins from each dyad and separately for monozygotic and dizygotic twins. Additional analyses investigated the genetic and environmental effects on personality and cognitive ability in this specific sample. Results. There were no significant correlations between the WISC-IV indices and any of the character traits (i.e., Self-directedness, Cooperativeness, and Self-transcendence). Persistence was significantly related, if weak, to four WISC-IV indices: Verbal Comprehension, Perceptual Reasoning, Working Memory, and the Full WISC-IV Scale. Post-hoc cross-twin/cross-trait analyses showed that the Persistence-cognitive ability

An intelligent FFR with a self-adjustable ventilation fan.

Science.gov (United States)

Zhou, Song; Li, Hui; Shen, Shengnan; Li, Siyu; Wang, Wei; Zhang, Xiaotie; Yang, James

2017-11-01

This article presents an intelligent Filtering Facepiece Respirator (FFR) with a self-adjustable ventilation fan for improved comfort. The ventilation fan with an intelligent control aims to reduce temperature, relative humidity, and CO 2 concentrations inside the facepiece. Compared with a previous version of the FFR, the advantage of this new FFR is the intelligent control of the fan's rotation speed based on the change in temperature and relative humidity in the FFR dead space. The design of the control system utilizes an 8-bit, ultra-low power STC15W404AS microcontroller (HongJin technology, Shenzhen, China), and adopts a high-precision AM2320 device (AoSong electronic, Guangzhou, China) as temperature and relative humidity sensor so that control of temperature and relative humidity is realized in real time within the FFR dead space. The ventilation fan is intelligently driven and runs on a rechargeable lithium battery with a power-save mode that provides a correspondingly longer operational time. Meanwhile, the design is simplistic. Two experiments were performed to determine the best location to place the fan.

Intelligent type sodium instrumentations for LMFR

International Nuclear Information System (INIS)

Daolong Chen

1996-01-01

The constructions and their performances of a lot of newly developed intelligent type sodium instrumentations that consist of the intelligent type sodium flowmeter, the intelligent type immersed sodium flowmeter, the intelligent type sodium manometer and the intelligent type sodium level gauge are described. The graduation characteristic equations for corresponding transducer using the medium temperature as the parameter are given. Because the operating temperature limit of measured medium (sodium) is wide, so the on-line compensation of the temperature effect of their graduation characteristics much be considered. The tests show that these intelligent type sodium instrumentations possess of good linearity. The accurate sodium process parameter (flowrate, pressure and level) measurement data can be obtained by means of their on-line compensation function of the temperature effect. Moreover, these intelligent type sodium instrumentations possess of the self-inspection, the electric shutoff protection, the setting of full-scale, the setting of alarm limits (two upper limits and two lower limits alarms), the thermocouple breaking alarm, each other isolative the 0-10V direct-current analogue output and CENTRONICS standard digital output, and the alarm relay contact output. These intelligent type sodium instrumentations are suitable particularly for the instrument, control and protective systems of LMFR by means of these excellent functions based on microprocessor. The basic error of the intelligent type sodium flowmeter, immersed sodium flowmeter, sodium manometer and sodium level gauge is respectively ±2%, ±2.3%, ±0.3% and ±1.9% of measuring range. (author). 4 refs, 9 figs

5th Computer Science On-line Conference

CERN Document Server

Senkerik, Roman; Oplatkova, Zuzana; Silhavy, Petr; Prokopova, Zdenka

2016-01-01

This volume is based on the research papers presented in the 5th Computer Science On-line Conference. The volume Artificial Intelligence Perspectives in Intelligent Systems presents modern trends and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of artificial intelligence. New algorithms in a variety of fields are also presented. The Computer Science On-line Conference (CSOC 2016) is intended to provide an international forum for discussions on the latest research results in all areas related to Computer Science. The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering.

The role of self-efficacy, emotional intelligence and leadership style as attributes of leadership effectiveness

Directory of Open Access Journals (Sweden)

Yvette Ramchunder

2014-05-01

Research purpose: The purpose of this study is to explore the relationship between three constructs, namely emotional intelligence, self-efficacy and leadership effectiveness in a policing context. Motivation for this study: In the police sector, there are difficulties in linking leadership to organisational outcomes since common police-leadership measures are affected by multiple contributory factors. This study explores the psychological constructs of emotional intelligence and self-efficacy on the leadership effectiveness of the police. Research design, approach and method: This research adopted a quantitative approach to assess the relationship between emotional intelligence and self-efficacy as attributes of leadership effectiveness. A total of 107 police personnel in commanding positions made up the sample. The measuring instruments used were the Assessing Emotions Scale, the Self-efficacy Scale and the Multifactor Leadership Questionnaire (MLQ Form 5X. Main findings: The results confirmed a positive relationship between emotional intelligence and self-efficacy and leadership effectiveness. The correlations were significant at the 0.01 level (2-tailed. Practical/managerial implications: Emotional intelligence and self-efficacy should be considered as attributes during the selection of leaders in police organisations or used for developmental purposes to enhance these attributes in police leaders. Contribution/value-add: The insights gained from the findings may be used to guide the selection of future leaders in the policing environment, and they could also be used to establish future developmental programmes and research initiatives.

Characterization of the Goubau line for testing beam diagnostic instruments

Science.gov (United States)

Kim, S. Y.; Stulle, F.; Sung, C. K.; Yoo, K. H.; Seok, J.; Moon, K. J.; Choi, C. U.; Chung, Y.; Kim, G.; Woo, H. J.; Kwon, J.; Lee, I. G.; Choi, E. M.; Chung, M.

2017-12-01

One of the main characteristics of the Goubau line is that it supports a low-loss, non-radiated surface wave guided by a dielectric-coated metal wire. The dominant mode of the surface wave along the Goubau line is a TM01 mode, which resembles the pattern of the electromagnetic fields induced in the metallic beam pipe when the charged particle beam passes through it. Therefore, the Goubau line can be used for the preliminary bench test and performance optimization of the beam diagnostic instruments without requiring charged particle beams from the accelerators. In this paper, we discuss the basic properties of the Goubau line for testing beam diagnostic instruments and present the initial test results for button-type beam position monitors (BPMs). The experimental results are consistent with the theoretical estimations, which indicates that Goubau line allows effective testing of beam diagnostic equipment.

Microscope self-calibration based on micro laser line imaging and soft computing algorithms

Science.gov (United States)

Apolinar Muñoz Rodríguez, J.

2018-06-01

A technique to perform microscope self-calibration via micro laser line and soft computing algorithms is presented. In this technique, the microscope vision parameters are computed by means of soft computing algorithms based on laser line projection. To implement the self-calibration, a microscope vision system is constructed by means of a CCD camera and a 38 μm laser line. From this arrangement, the microscope vision parameters are represented via Bezier approximation networks, which are accomplished through the laser line position. In this procedure, a genetic algorithm determines the microscope vision parameters by means of laser line imaging. Also, the approximation networks compute the three-dimensional vision by means of the laser line position. Additionally, the soft computing algorithms re-calibrate the vision parameters when the microscope vision system is modified during the vision task. The proposed self-calibration improves accuracy of the traditional microscope calibration, which is accomplished via external references to the microscope system. The capability of the self-calibration based on soft computing algorithms is determined by means of the calibration accuracy and the micro-scale measurement error. This contribution is corroborated by an evaluation based on the accuracy of the traditional microscope calibration.

Development and Validation of the Emotional Self-Awareness Questionnaire: A Measure of Emotional Intelligence

Science.gov (United States)

Killian, Kyle D.

2012-01-01

This study examined the psychometric characteristics of the Emotional Self-Awareness Questionnaire (ESQ), a self-report measure of emotional intelligence. The ESQ, Emotional Intelligence Scale, and measures of alexithymia, positive negative affect, personality, cognitive ability, life satisfaction, and leadership aspirations were administered to…

Development of intelligent control system for X-ray streak camera in diagnostic instrument manipulator

International Nuclear Information System (INIS)

Pei, Chengquan; Wu, Shengli; Tian, Jinshou; Liu, Zhen; Fang, Yuman; Gao, Guilong; Liang, Lingliang; Wen, Wenlong

2015-01-01

An intelligent control system for an X ray streak camera in a diagnostic instrument manipulator (DIM) is proposed and implemented, which can control time delay, electric focusing, image gain adjustment, switch of sweep voltage, acquiring environment parameters etc. The system consists of 16 A/D converters and 16 D/A converters, a 32-channel general purpose input/output (GPIO) and two sensors. An isolated DC/DC converter with multi-outputs and a single mode fiber were adopted to reduce the interference generated by the common ground among the A/D, D/A and I/O. The software was designed using graphical programming language and can remotely access the corresponding instrument from a website. The entire intelligent control system can acquire the desirable data at a speed of 30 Mb/s and store it for later analysis. The intelligent system was implemented on a streak camera in a DIM and it shows a temporal resolution of 11.25 ps, spatial distortion of less than 10% and dynamic range of 279:1. The intelligent control system has been successfully used in a streak camera to verify the synchronization of multi-channel laser on the Inertial Confinement Fusion Facility

Development of intelligent control system for X-ray streak camera in diagnostic instrument manipulator

Energy Technology Data Exchange (ETDEWEB)

Pei, Chengquan [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); Wu, Shengli, E-mail: slwu@mail.xjtu.edu.cn [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); Tian, Jinshou [Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119 (China); Liu, Zhen [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); Fang, Yuman [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); University of the Chinese Academy of Sciences, Beijing 100039 (China); Gao, Guilong; Liang, Lingliang [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China); Xi' an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi' an 710119 (China); University of the Chinese Academy of Sciences, Beijing 100039 (China); Wen, Wenlong [Key Laboratory for Physical Electronics and Devices of the Ministry of Education, Xi' an Jiaotong University, Xi' an 710049 (China)

2015-11-01

An intelligent control system for an X ray streak camera in a diagnostic instrument manipulator (DIM) is proposed and implemented, which can control time delay, electric focusing, image gain adjustment, switch of sweep voltage, acquiring environment parameters etc. The system consists of 16 A/D converters and 16 D/A converters, a 32-channel general purpose input/output (GPIO) and two sensors. An isolated DC/DC converter with multi-outputs and a single mode fiber were adopted to reduce the interference generated by the common ground among the A/D, D/A and I/O. The software was designed using graphical programming language and can remotely access the corresponding instrument from a website. The entire intelligent control system can acquire the desirable data at a speed of 30 Mb/s and store it for later analysis. The intelligent system was implemented on a streak camera in a DIM and it shows a temporal resolution of 11.25 ps, spatial distortion of less than 10% and dynamic range of 279:1. The intelligent control system has been successfully used in a streak camera to verify the synchronization of multi-channel laser on the Inertial Confinement Fusion Facility.

Social desirability: the role of over-claiming, self-esteem, and emotional intelligence

Directory of Open Access Journals (Sweden)

JESSICA MESMER-MAGNUS

2006-09-01

Full Text Available Socially desirable responding (SDR has been widely studied with regards to personality assessment due to fears it may attenuate the predictive validity of decisions made using such assessments (e.g., in personnel selection. A number of scales have been employed to assess individual differences in response distortion. We expand the nomological net for a popular measure of social desirability – the Marlowe-Crowne scale – by correlating individual differences in SDR to measures of over-claiming, self-esteem, and emotional intelligence. Survey results (n = 198 yielded a significant positive correlation between SDR and both self-esteem and emotional intelligence. Over-claiming was found to be negatively related to self-deceptive enhancement, a form of SDR, but not to SDR overall. Regression analyses revealed emotional intelligence explains significant variance in SDR, over and above that which is explained by self-esteem and over-claiming alone (ΔR2 = .16, p < .01. Implications for personality assessment are discussed.

On-line monitoring system for utility boiler diagnostics

International Nuclear Information System (INIS)

Radovanovic, P.M.; Afgan, N.H.; Caralho, M.G.

1997-01-01

The paper deals with the new developed modular type Monitoring System for Utility Boiler Diagnostics. Each module is intended to assess the specific process and can be used as a stand alone application. Four modules are developed, namely: LTC - module for the on-line monitoring of parameters related to the life-time consumption of selected boiler components; TRD - module for the tube rupture detection by the position and working fluid Ieakage quantity; FAM - module for the boiler surfaces fouling (slagging) assessment and FLAP - module for visualization of the boiler furnace flame position. All four modules are tested on respective pilot plants built oil the 200 and 300 MWe utility boilers. Monitoring System is commercially available and can be realized in any combination of its modules depending on demands induced by the operational problems of specific boiler. Further development of Monitoring System is performed in accordance with the respective EU project on development of Boiler Expert System. (Author)

High voltage transmission lines studies with the use of artificial intelligence

Energy Technology Data Exchange (ETDEWEB)

Ekonomou, L. [A.S.PE.T.E. - School of Pedagogical and Technological Education, Department of Electrical Engineering Educators, N. Heraklion, 141 21 Athens (Greece)

2009-12-15

The paper presents an alternative approach for the studies of high voltage transmission lines based on artificial intelligence and more specifically artificial neural networks (ANNs). In contrast to the existing conventional-analytical techniques and simulations which are using in the calculations empirical and/or approximating equations, this approach is based only on actual field data and actual measurements. The proposed approach is applied on high voltage transmission lines in order to calculate the lightning outages, on grounding systems in order to assess the grounding resistance and on high voltage transmission lines' polluted insulators in order to estimate the critical flashover voltage. The obtained results are very close to the actual ones for all three case studies, something which clearly implies that the ANN approach is well working and has an acceptable accuracy, constituting an additional tool of electric engineers. (author)

Time-dependent analysis of visible helium line-ratios for electron temperature and density diagnostic using synthetic simulations on NSTX-U

Energy Technology Data Exchange (ETDEWEB)

Muñoz Burgos, J. M., E-mail: jmunozbu@pppl.gov; Stutman, D.; Tritz, K. [Department of Physics and Astronomy, Johns Hopkins University, Baltimore, Maryland 21218 (United States); Barbui, T.; Schmitz, O. [Department of Engineering Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706 (United States)

2016-11-15

Helium line-ratios for electron temperature (T{sub e}) and density (n{sub e}) plasma diagnostic in the Scrape-Off-Layer (SOL) and edge regions of tokamaks are widely used. Due to their intensities and proximity of wavelengths, the singlet, 667.8 and 728.1 nm, and triplet, 706.5 nm, visible lines have been typically preferred. Time-dependency of the triplet line (706.5 nm) has been previously analyzed in detail by including transient effects on line-ratios during gas-puff diagnostic applications. In this work, several line-ratio combinations within each of the two spin systems are analyzed with the purpose of eliminating transient effects to extend the application of this powerful diagnostic to high temporal resolution characterization of plasmas. The analysis is done using synthetic emission modeling and diagnostic for low electron density NSTX SOL plasma conditions by several visible lines. Quasi-static equilibrium and time-dependent models are employed to evaluate transient effects of the atomic population levels that may affect the derived electron temperatures and densities as the helium gas-puff penetrates the plasma. The analysis of a wider range of spectral lines will help to extend this powerful diagnostic to experiments where the wavelength range of the measured spectra may be constrained either by limitations of the spectrometer or by other conflicting lines from different ions.

Sex differences in parents' estimations of their own and their children's multiple intelligences: a Portuguese replication.

Science.gov (United States)

Neto, Félix; Furnham, Adrian

2011-05-01

In this study, 148 Portuguese adults (M = 45.4 years) rated themselves and their children on overall IQ and on H. Gardner (1999) 10 intelligence subtypes. Men's self-estimates were not significantly higher than women's on any of the 11 estimates. The results were in line with previous studies, in that both sexes rated the overall intelligence of their first male children higher than the first female children. Higher parental IQ self-estimates correspond with higher IQ estimates for children. Globally parents estimated that their sons had significantly higher IQs than their daughters. In particular, parents rated their son's spiritual intelligence higher than those of their daughters. Children's age and sex, and parents' age and sex were all non-significant predictors of the overall "g" score estimates of the first two children. Participants thought verbal, mathematical, and spatial intelligence were the best indicators of the overall intelligence for self and children. There were no sex differences in experience of, or attitudes towards, intelligence testing. Results are discussed in terms of the growing literature in the self-estimates of intelligence, as well as limitations of that approach.

Self-esteem, body-esteem, emotional intelligence, and social anxiety in a college sample: the moderating role of weight.

Science.gov (United States)

Abdollahi, Abbas; Abu Talib, Mansor

2016-01-01

To examine the relationships between self-esteem, body-esteem, emotional intelligence, and social anxiety, as well as to examine the moderating role of weight between exogenous variables and social anxiety, 520 university students completed the self-report measures. Structural equation modeling revealed that individuals with low self-esteem, body-esteem, and emotional intelligence were more likely to report social anxiety. The findings indicated that obese and overweight individuals with low body-esteem, emotional intelligence, and self-esteem had higher social anxiety than others. Our results highlight the roles of body-esteem, self-esteem, and emotional intelligence as influencing factors for reducing social anxiety.

Estimates of Self, Parental and Partner Multiple Intelligences in Iran: A replication and extension.

Science.gov (United States)

Furnham, Adrian; Kosari, Afrooz; Swami, Viren

2012-01-01

Two hundred and fifty-eight Iranian university students estimated their own, parents', and partners' overall (general) intelligence, and also estimated 13 'multiple intelligences' on a simple, two-page questionnaire which was previously used in many similar studies. In accordance with previous research, men rated themselves higher than women on logical-mathematical, spatial and musical intelligence. There were, however, no sex differences in ratings of parental and partner multiple intelligences, which is inconsistent with the extant literature. Participants also believed that they were more intelligent than their parents and partners, and that their fathers were more intelligent than their mothers. Multiple regressions indicated that participants' Big Five personality typologies and test experience were significant predictors of self-estimated intelligence. These results are discussed in terms of the cross-cultural literature in the field. Implications of the results are also considered.

A functional look at goal orientations : their role for self-estimates of intelligence and performance

NARCIS (Netherlands)

Bipp, T.; Steinmayr, R.; Spinath, B.

2012-01-01

Building on the notion that motivation energizes and directs resources in achievement situations, we argue that goal orientations affect perceptions of own intelligence and that the effect of goals on performance is partly mediated by self-estimates of intelligence. Studies 1 (n = 89) and 2 (n =

Complete diagnostics of pyroactive structures for smart systems of optoelectronics

Science.gov (United States)

Bravina, Svetlana L.; Morozovsky, Nicholas V.

1998-04-01

The results of study of pyroelectric phenomena in ferroelectric materials for evidence of the possibility to embody the functions promising for creation of smart systems for optoelectronic applications are presented. Designing such systems requires the development of methods for non- destructive complete diagnostics preferably by developing the self-diagnostic ability inherent in materials with the features of smart/intelligent ones. The complex method of complete non-destructive qualification of pyroactive materials based on the method of dynamic photopyroelectric effect allows the determination of pyroelectric, piezoelectric, ferroelectric, dielectric and thermophysical characteristics. The measuring system which allows the study of these characteristics and also memory effects, switching effects, fatigue and degradation process, self-repair process and others is presented. Sample pyroactive system with increased intelligence, such as systems with built-in adaptive controllable domain structure promising for functional optics are developed and peculiarities of their characterization are discussed.

GENDER DIFFERENCES IN SELF-ESTIMATES OF MULTIPLE INTELLIGENCES AMONG LEARNERS OF ENGLISH

Directory of Open Access Journals (Sweden)

Abbas Zare-ee

2015-10-01

Full Text Available According to Howard Gardner, human intellectual ability cannot be measured by a unitary concept of general intelligence, and the performance of cognitive tasks draws on different types of intelligence, including linguistic, logical-mathematical, musical, spatial, bodily-kinaesthetic, interpersonal, intrapersonal, natural, and existential. Despite the lack of adequate empirical support and recent doubts raised about its validity, this view of multiple intelligences has been extensively employed for the characterization of learners and the development of tasks for language teaching and learning. Whereas gender differences in the learning and use of language have been extensively researched, context-specific information on gender differences in different domains of multiple intelligences has not been seriously examined. The survey reported here is based on the hypothesis that multiple intelligences vary not only at the individual level, but also in the case of gender at a cultural level, and uses Mckenzie's Multiple Intelligences Survey to explore possible gender differences in Gardner’s intelligences. Questionnaire data relating to each of the nine intelligences was elicited from 300 undergraduate volunteers studying English at the University of Kashan in central Iran. The questionnaire included 90 statements and 10 items on each intelligence, and was used to identify the intelligence profile of the participants according to their own self-estimates. The scores for each intelligence type were calculated, analyzed and compared across genders. The results of the study showed that in contrast to the trend observed in previous research, female learners tended to rate themselves higher on most intelligences and their means were significantly higher than those of male learners in the areas of naturalistic and existential intelligences. The findings have both theoretical and practical implications not only for the reconsideration of previous claims

Social Representations of Intelligence

Directory of Open Access Journals (Sweden)

Elena Zubieta

2016-02-01

Full Text Available The article stresses the relationship between Explicit and Implicit theories of Intelligence. Following the line of common sense epistemology and the theory of Social Representations, a study was carried out in order to analyze naive’s explanations about Intelligence Definitions. Based on Mugny & Carugati (1989 research, a self-administered questionnaire was designed and filled in by 286 subjects. Results are congruent with the main hyphotesis postulated: A general overlap between explicit and implicit theories showed up. According to the results Intelligence appears as both, a social attribute related to social adaptation and as a concept defined in relation with contextual variables similar to expert’s current discourses. Nevertheless, conceptions based on “gifted ideology” still are present stressing the main axes of Intelligence debate: biological and sociological determinism. In the same sense, unfamiliarity and social identity are reaffirmed as organizing principles of social representation. The distance with the object -measured as the belief in intelligence differences as a solve/non solve problem- and the level of implication with the topic -teachers/no teachers- appear as discriminating elements at the moment of supporting specific dimensions. 

Self-Disorders

DEFF Research Database (Denmark)

Parnas, Josef; Jansson, Lennart B

2015-01-01

category boundaries, comorbidity, diagnostic 'epidemics' and differential diagnostic dilemmas. We argue that many of those problems stem from the polythetic-operational definitions of psychiatric categories, which thereby come to lack an organizing prototype-directed or gestaltic intelligibility principle...... diagnostic weight to a certain prototypical trait core of the illness, phenomenologically indispensable for its demarcation from other, nonschizophrenic psychotic conditions. We believe that the notion of self-disorder (reflective of the structural alterations of subjectivity), itemized into its various...

Discrepancies between implicit and explicit self-concepts of intelligence: Relations to modesty, narcissism, and achievement motivation

Directory of Open Access Journals (Sweden)

Friederike eGerstenberg

2014-02-01

Full Text Available Previous research has shown that different configurations of the implicit self-concept of intelligence (iSCI and the explicit self-concept of intelligence (eSCI are consistently related to individuals’ performance on different intelligence tests (Dislich, Imhoff, Banse, Altstötter-Gleich, Zinkernagel, & Schmitt, 2012. The results indicated that any discrepant configuration between the iSCI and the eSCI impairs performance. In the present study, how correspondence between the iSCI and the eSCI is related to intelligence test performance as well as personality traits of modesty (low eSCI, high iSCI, narcissism (high eSCI, low iSCI, and achievement motivation was investigated. Furthermore, a moderated mediation analysis showed that the relation between the iSCI-eSCI configurations and intelligence test performance was mediated by achievement motivation for modest individuals.

[The Offer of Medical-Diagnostic Self-Tests on German Language Websites: Results of a Systematic Internet Search].

Science.gov (United States)

Kuecuekbalaban, P; Schmidt, S; Muehlan, H

2018-03-01

The aim of the current study was to provide an overview of medical-diagnostic self-tests which can be purchased without a medical prescription on German language websites. From September 2014 to March 2015, a systematic internet research was conducted with the following search terms: self-test, self-diagnosis, home test, home diagnosis, quick test, rapid test. 513 different self-tests for the diagnostics of 52 diverse diseases or health risks were identified, including chronic diseases (e. g. diabetes, chronic disease of the kidneys, liver, and lungs), sexually transmitted diseases (e. g. HIV, chlamydia, gonorrhea), infectious diseases (e. g. tuberculosis, malaria, Helicobacter pylori), allergies (e. g. house dust, cats, histamine) and cancer as well as tests for the diagnostics of 12 different psychotropic substances. These were sold by 90 companies in Germany and by other foreign companies. The number of medical-diagnostic self-tests which can be bought without a medical prescription on the Internet has increased enormously in the last 10 years. Further studies are needed for the identification of the determinants of the use of self-tests as well as the impact of the application on the experience and behavior of the user. © Georg Thieme Verlag KG Stuttgart · New York.

Emotional intelligence as a predictor of self-efficacy among students with different levels of academic achievement at Kermanshah University of Medical Sciences

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AMENEH GHARETEPEH

2015-04-01

Full Text Available Introduction: studies have indicated that emotional intelligence is positively related to self-efficacy and can predict the academic achievement. The present study aimed to investigate the role of emotional intelligence in identifying self-efficacy among the students of Public Health School with different levels of academic achievement. Methods: This correlational study was conducted on all the students of Public Health School. 129 students were included in the study through census method. Data were collected using Emotional Intelligence and self-efficacy questionnaires and analyzed using descriptive statistics and regression analysis by SPSS 14. Results: The average score of students with high academic achievement was higher in self-efficacy (39.78±5.82 and emotional intelligence (117.07±10.33 variables and their components than that of students with low academic achievement (39.17±5.91, 112.07±13.23. The overall emotional intelligence score to predict self-efficacy explanation was different among students with different levels of academic achievement (p<0.001. Self-efficacy structure was explained through self-awareness and self-motivation components in students with low academic achievement (r=0.571. In students with high academic achievement, self-awareness, selfmotivation and social consciousness played an effective role in explaining self-efficacy (r=0.677, p<0.001. Conclusion: Emotional intelligence and self-efficacy play an important role in achieving academic success and emotional intelligence can explain self-efficacy. Therefore, it is recommended to teach emotional intelligence skills to students with low academic achievement through training workshops.

Vaccum and beam diagnostic controls for ORIC beam lines

International Nuclear Information System (INIS)

Tatum, B.A.

1991-01-01

Vacuum and beam diagnostic equipment on beam lines from the Oak Ridge Isochronous Cyclotron, ORIC, is now controlled by a new dedicated system. The new system is based on an industrial programmable logic controller with an IBM AT personal computer providing control room operator interface. Expansion of this system requires minimal reconfiguration and programming, thus facilitating the construction of additional beam lines. Details of the implementation, operation, and performance of the system are discussed. 2 refs., 2 figs

Gender and gender role differences in self- and other-estimates of multiple intelligences.

Science.gov (United States)

Szymanowicz, Agata; Furnham, Adrian

2013-01-01

This study examined participant gender and gender role differences in estimates of multiple intelligences for self, partner, and various hypothetical, stereotypical, and counter-stereotypical target persons. A general population sample of 261 British participants completed one of four questionnaires that required them to estimate their own and others' multiple intelligences and personality traits. Males estimated their general IQ slightly, but mathematic IQ significantly higher than females, who rated their social and emotional intelligence higher than males. Masculine individuals awarded themselves somewhat higher verbal and practical IQ scores than did female participants. Both participant gender and gender role differences in IQ estimates were found, with gender effects stronger in cognitive and gender role than in "personal" ability estimates. There was a significant effect of gender role on hypothetical persons' intelligence evaluations, with masculine targets receiving significantly higher intelligence estimates compared to feminine targets. More intelligent hypothetical figures were judged as more masculine and less feminine than less intelligent ones.

On-line spectral diagnostic system for Dalian Coherent Light Source

Energy Technology Data Exchange (ETDEWEB)

Li, Chaoyang; Wei, Shen; Du, Xuewei [Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023 (China); Du, Liangliang [National Synchrotron Radiation Laboratory, University of Science & Technology of China, Hefei, Anhui 230029 (China); Wang, Qiuping, E-mail: qiuping@ustc.edu.cn [Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023 (China); Zhang, Weiqing; Wu, Guorong; Dai, Dongxu [Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023 (China); Yang, Xueming, E-mail: xmyang@dicp.ac.cn [Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023 (China)

2015-05-21

The Dalian Coherent Light Source (DCLS) is a Free electron laser (FEL) user facility currently under construction in the northeast of China. It is designed to work on high gain high harmonic principle with the capability of wavelength continuously tunable in the EUV regime of 50–150 nm. The light source has unique features such as the turntable radiation frequency, wide spectral range, high brightness and peak power, very short pulse time structure, etc. A key diagnostic task in DCLS is the on-line source spectral characteristic recording during the source development, and for the definition of the experimental conditions. For this purpose, an online grazing incidence spectrometer with a toroidal mirror and a variable-line-spacing plane grating is designed and presented in this paper to monitor each single FEL pulse. A circular stage is chosen to fit the focal curve and to realize the wavelength scanning. This scanning mechanics is simpler and stable. Resolving power (λ/Δλ) of this spectrometer is better than 12,000 in the whole wavelength range.

On-line spectral diagnostic system for Dalian Coherent Light Source

International Nuclear Information System (INIS)

Li, Chaoyang; Wei, Shen; Du, Xuewei; Du, Liangliang; Wang, Qiuping; Zhang, Weiqing; Wu, Guorong; Dai, Dongxu; Yang, Xueming

2015-01-01

The Dalian Coherent Light Source (DCLS) is a Free electron laser (FEL) user facility currently under construction in the northeast of China. It is designed to work on high gain high harmonic principle with the capability of wavelength continuously tunable in the EUV regime of 50–150 nm. The light source has unique features such as the turntable radiation frequency, wide spectral range, high brightness and peak power, very short pulse time structure, etc. A key diagnostic task in DCLS is the on-line source spectral characteristic recording during the source development, and for the definition of the experimental conditions. For this purpose, an online grazing incidence spectrometer with a toroidal mirror and a variable-line-spacing plane grating is designed and presented in this paper to monitor each single FEL pulse. A circular stage is chosen to fit the focal curve and to realize the wavelength scanning. This scanning mechanics is simpler and stable. Resolving power (λ/Δλ) of this spectrometer is better than 12,000 in the whole wavelength range

A new gamma-ray diagnostic for energetic ion distributions - The Compton tail on the neutron capture line

International Nuclear Information System (INIS)

Vestrand, W.T.

1990-01-01

This paper presents a new radiation diagnostic for assaying the energy spectrum and the angular distribution of energetic ions incident on thick hydrogen-rich thermal targets. This diagnostic compares the number of emergent photons in the narrow neutron capture line at 2.223 MeV to the number of Compton scattered photons that form a low-energy tail on the line. It is shown that the relative strength of the tail can be used as a measure of the hardness of the incident ion-energy spectrum. Application of this diagnostic to solar flare conditions is the main thrust of the work presented here. It is examined how the strength of the Compton tail varies with flare viewing angle and the angular distribution of the flare-accelerated particles. Application to compact X-ray binary systems is also briefly discussed. 39 refs

Discriminant Validity of Self-Reported Emotional Intelligence: A Multitrait-Multisource Study

Science.gov (United States)

Joseph, Dana L.; Newman, Daniel A.

2010-01-01

A major stumbling block for emotional intelligence (EI) research has been the lack of adequate evidence for discriminant validity. In a sample of 280 dyads, self- and peer-reports of EI and Big Five personality traits were used to confirm an a priori four-factor model for the Wong and Law Emotional Intelligence Scale (WLEIS) and a five-factor…

Relationship between IQ, cultural intelligence and self-monitoring in the students of Birjand University of Medical Sciences

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Aliakbar Esmaeili

2016-09-01

Full Text Available Background and Aim: Intelligence quotient (IQ, cultural intelligence, and self-monitoring are among important and influential parameters in learning-teaching process of students. Thus, the current study examined the relationship between these parameters in the students of Birjand University of Medical Science. Materials and Methods: The present study was a descriptive-analytic, cross-sectional type. The study population included all the students at Birjand University of Medical Sciences, selected through stratified randomized sampling method. In order to study IQ, cultural intelligence, and self-monitoring parameters R & B Cattell scale (Scale III, Erli’s Cultural Intelligence Inventory, and Snyder’s Self-monitoring Test were applied, respectively. The obtained data was fed into SPSS (V:21 software using Pearson correlation test, ANOVA, and t-test at the significant level of P≤0.05. Results: From a total of 171 subjects participating in the study, 53.2% were female. The average age of the participants was 21.3±2.7 years. The average IQ, cultural intelligence, and self-monitoring scores were 106±10.44, 85.73±17.31, and 12.35±3.20, respectively. There was a significant correlation between cultural intelligence and self-monitoring (P<0.000; r=0/37. However, there were no significant associations between cultural intelligence and IQ scores as well as between self-monitoring and IQ scores. Conclusion: Regarding the unfavorable cultural intelligence’ skills and abilities ;and their acquirable nature, it is suggested that University consider a significant position for educational and cultural programs in order to enhance cultural intelligence.

Relationship between IQ, cultural intelligence and self-monitoring in the students of Birjand University of Medical Sciences

Directory of Open Access Journals (Sweden)

Aliakbar Esmaeili

2016-12-01

Full Text Available Background and Aim: Intelligence quotient (IQ, cultural intelligence, and self-monitoring are among important and influential parameters in learning-teaching process of students. Thus, the current study examined the relationship between these parameters in the students of Birjand University of Medical Science. Materials and Methods: The present study was a descriptive-analytic, cross-sectional type. The study population included all the students at Birjand University of Medical Sciences, selected through stratified randomized sampling method. In order to study IQ, cultural intelligence, and self-monitoring parameters R & B Cattell scale (Scale III, Erli’s Cultural Intelligence Inventory, and Snyder’s Self-monitoring Test were applied, respectively. The obtained data was fed into SPSS (V:21 software using Pearson correlation test, ANOVA, and t-test at the significant level of P≤0.05. Results: From a total of 171 subjects participating in the study, 53.2% were female. The average age of the participants was 21.3±2.7 years. The average IQ, cultural intelligence, and self-monitoring scores were 106±10.44, 85.73±17.31, and 12.35±3.20, respectively. There was a significant correlation between cultural intelligence and self-monitoring (P<0.000; r=0/37. However, there were no significant associations between cultural intelligence and IQ scores as well as between self-monitoring and IQ scores. Conclusion: Regarding the unfavorable cultural intelligence’ skills and abilities ;and their acquirable nature, it is suggested that University consider a significant position for educational and cultural programs in order to enhance cultural intelligence.

On-line Vibration Diagnostics of the Optical Elements at BL-28 of the Photon Factory

International Nuclear Information System (INIS)

Maruyama, T.; Kashiwagi, T.; Kikuchi, T.; Toyoshima, A.; Kubota, M.; Ono, K.

2007-01-01

We have analyzed the data of encoders attached to optical elements and developed an on-line vibration diagnostics system of the monochromator. After eliminating the vibration source we have been able to improve the performance of the monochromator

Operational experiences on the Borssele nuclear power plant using computer based surveillance and diagnostic system on-line

International Nuclear Information System (INIS)

Turkcan, E.; Quaadvliet, W.H.J.; Peeters, T.T.J.M.; Verhoef, J.P

1991-06-01

The on-line monitoring and diagnostics system of Borssele nuclear power plant (NPP), designed and established by the ECN Energy Research Foundation, has been operating continuously since 1983. The system is extended in form of multiprocessing, multi-tasking structure performing real-time monitoring, on-line reactor parameters' calculation, data-base preparation for expert systems and providing early information on possible malfunctions even in the incipient stage making alert by passive alarms. The system realized has already been operating in the course of 7 fuel cycles of the reactor starting from start-up through normal power operation. An expert system operating on the VAX work station is added to the surveillance and diagnostics system for data base management of the observed physical parameters relevant to the NPP under supervision. The paper highlights the surveillance and diagnostic modules involved, in their actual hierarchical form in use, presents theoretical considerations applied to the design of the surveillance system together with the results obtained through the 12th to 17th fuel cycles of the NPP including start-ups and shut-downs and reveals the experience thus gained by both utility and ECN through the application of the system described. (author). 19 refs.; 4 figs

Effects of self-similar correlations on the spectral line shape in the neutral gas

International Nuclear Information System (INIS)

Kharintsev, S.S.; Salakhov, M.Kh.

2001-01-01

The paper is devoted to the study of the influence of self-similar correlations on the Doppler and pressure broadening within the non-equilibrium Boltzmann gas. The diffuse model for the thermal motion of the radiator and the self-similar mechanism of interference of scalar perturbations for phase shifts of an atomic oscillator are developed. It is shown that taking into account self-similar correlation in a description of the spectral line shape allows one to explain, on the one hand, the additional spectral line Dicke-narrowing in the Doppler regime, and, on the other hand, the asymmetry in wings of the spectral line in a high pressure region

The Effect of Multicultural Experience in Conflicts Management Styles: Mediation of Cultural Intelligence and Self-Monitoring

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Gabriela Gonçalves

2015-03-01

Full Text Available Conflict is an inevitable reality both in personal and in organizational life. For being inevitable, the conflict must be managed Defined as a process that occurs when one party feels adversely affected by another (e.g., De Dreu, 1997 the conflict management styles can be analysed as a function of personality variables. In this respect the cultural intelligence, self-monitoring and self-interdependent seem to be relevant variables, since characterised by flexibility and interest in other aspects present in conflict management styles. In this study, we propose that cultural intelligence, associated with the self-interdependent and self-monitoring, can have a positive impact on the choice of most effective interpersonal conflict resolution styles. Being cultural intelligence an attribute of extreme importance, we still sought to determine how the quantity and quality of intercultural contact and self-interdependent present themselves as predictors of it. With a sample of 399 individuals, the proposed model suggests that high levels of cultural intelligence mediated by a high self-monitoring and selfinterdependent positively affect and predict the conflict resolution styles adopted. Given the need to develop abilities aimed at increasing the skills of conflict resolution, this study adds to the existing literature new predictors, contributing to the welfare and performance of human resources, and consequently to success and organizational effectiveness.

Emotional skills and competence questionnaire (ESCQ as a self-report measure of emotional intelligence

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Vladimir Takšić

2009-11-01

Full Text Available Studies of emotional intelligence (EI initially appeared in academic journals in the early 1990s. The majority of studies on emotional intelligence have relied on self-ratings. In spite of the critics of self-report scales, there are a large number of self-report measures of EI present in recent literature. The main aim of this paper is to present the constructing procedure, together with the basic psychometric properties of Emotional Skills and Competence Questionnaire (ESCQ as a self-report measure of EI. Originally, this measure was developed in Croatian settings, using the theoretical framework from the Mayer-Salovey emotional intelligence model. The ESCQ instrument has been translated into several languages. The results have showed that ESCQ has three subscales with decent reliability. They share some amount of common variance with similar well-established constructs such as alexithymia, social skills, and personality traits, but they are not correlated with cognitive abilities. However, due to its sufficient reliability, a great deal of unique variance remains. This unique variance of the ESCQ scales has an incremental contribution in explaining life satisfaction and empathy (as the crucial criteria for EI, and has significant relations with relevant real-life criteria such as quality of leadership, health risk behaviors, and school achievement.

Introduction of a New Diagnostic Method for Breast Cancer Based on Fine Needle Aspiration (FNA) Test Data and Combining Intelligent Systems

Science.gov (United States)

Fiuzy, Mohammad; Haddadnia, Javad; Mollania, Nasrin; Hashemian, Maryam; Hassanpour, Kazem

2012-01-01

Background Accurate Diagnosis of Breast Cancer is of prime importance. Fine Needle Aspiration test or "FNA”, which has been used for several years in Europe, is a simple, inexpensive, noninvasive and accurate technique for detecting breast cancer. Expending the suitable features of the Fine Needle Aspiration results is the most important diagnostic problem in early stages of breast cancer. In this study, we introduced a new algorithm that can detect breast cancer based on combining artificial intelligent system and Fine Needle Aspiration (FNA). Methods We studied the Features of Wisconsin Data Base Cancer which contained about 569 FNA test samples (212 patient samples (malignant) and 357 healthy samples (benign)). In this research, we combined Artificial Intelligence Approaches, such as Evolutionary Algorithm (EA) with Genetic Algorithm (GA), and also used Exact Classifier Systems (here by Fuzzy C-Means (FCM)) to separate malignant from benign samples. Furthermore, we examined artificial Neural Networks (NN) to identify the model and structure. This research proposed a new algorithm for an accurate diagnosis of breast cancer. Results According to Wisconsin Data Base Cancer (WDBC) data base, 62.75% of samples were benign, and 37.25% were malignant. After applying the proposed algorithm, we achieved high detection accuracy of about "96.579%” on 205 patients who were diagnosed as having breast cancer. It was found that the method had 93% sensitivity, 73% specialty, 65% positive predictive value, and 95% negative predictive value, respectively. If done by experts, Fine Needle Aspiration (FNA) can be a reliable replacement for open biopsy in palpable breast masses. Evaluation of FNA samples during aspiration can decrease insufficient samples. FNA can be the first line of diagnosis in women with breast masses, at least in deprived regions, and may increase health standards and clinical supervision of patients. Conclusion Such a smart, economical, non-invasive, rapid

An intelligent remote control system for ECEI on EAST

Science.gov (United States)

Chen, Dongxu; Zhu, Yilun; Zhao, Zhenling; Qu, Chengming; Liao, Wang; Xie, Jinlin; Liu, Wandong

2017-08-01

An intelligent remote control system based on a power distribution unit (PDU) and Arduino has been designed for the electron cyclotron emission imaging (ECEI) system on Experimental Advanced Superconducting Tokamak (EAST). This intelligent system has three major functions: ECEI system reboot, measurement region adjustment and signal amplitude optimization. The observation region of ECEI can be modified for different physics proposals by remotely tuning the optical and electronics systems. Via the remote adjustment of the attenuation level, the ECEI intermediate frequency signal amplitude can be efficiently optimized. The remote control system provides a feasible and reliable solution for the improvement of signal quality and the efficiency of the ECEI diagnostic system, which is also valuable for other diagnostic systems.

The relationship between epistemological beliefs, implicit theories of intelligence, and self-regulated learning among Norwegian postsecondary students.

Science.gov (United States)

Bråten, Ivar; Strømsø, Helge I

2005-12-01

More empirical work is needed to examine the dimensionality of personal epistemology and relations between those dimensions and motivational and strategic components of self-regulated learning. In particular, there is great need to investigate personal epistemology and its relation to self-regulated learning across cultures and academic contexts. Because the demarcation between personal epistemology and implicit theories of intelligence has been questioned, dimensions of personal epistemology should also be studied in relation to implicit theories of intelligence. The primary aim was to examine the dimensionality of personal epistemology and the relation between those dimensions and implicit theories of intelligence in the cultural context of Norwegian postsecondary education. A secondary aim was to examine the relative contribution of epistemological beliefs and theories of intelligence to motivational and strategic components of self-regulated learning in different academic contexts within that culture. The first sample included 178 business administration students in a traditional transmission-oriented instructional context; the second, 108 student teachers in an innovative pedagogical context. The dimensionality of the Schommer Epistemological Questionnaire was examined through factor analyses, and the resulting dimensions were examined in relation to implicit theories of intelligence. We performed multiple regression analyses, separately for the two academic contexts, to try to predict motivational (i.e. self-efficacy beliefs, mastery goal orientation, and interest) and strategic (i.e. self-regulatory strategy use) components of self-regulated learning with epistemological beliefs and implicit theories of intelligence. Considerable cross-cultural generalizability was found for the dimensionality of personal epistemology. Moreover, the dimensions of personal epistemology seemed to represent constructs separate from the construct of implicit theories of

A knowledge based on-line diagnostic system for the fast breeder reactor KNKII

International Nuclear Information System (INIS)

Eggert, H.; Scherer, K.P.; Stiller, P.

1989-01-01

In the nuclear research center at Karlsruhe, a diagnostic expert system is developed to supervise a fast breeder process (KNKII). The problem is to detect critical phases in the beginning state before fault propagation. The expert system itself is integrated in a computer network (realized by a local area network), where different computers are involved as special detection systems (for example acoustic noise, temperature noise, covergas monitoring and so on), which produce partial diagnoses, based on intelligent signal processing techniques like pattern recognition. Additional to the detection systems a process computer is integrated as well as a test computer, which simulates hypothetical and real fault data. On the logical top level the expert system manages the partial diagnoses of the detection systems with the operating data of the process computer and to produce a final diagnosis including the explanation part for operator support. The knowledge base is developed by typical Artificial Intelligence tools. Both fact based and rule based knowledge representations are stored in form of flavors and predications. The inference engine operates on a rule based approach. Specific detail knowledge, based on experience about any years, is available to influence the decision process by increasing or decreasing of the generated hypotheses. In a meta knowledge base, a rule master triggers the special domain experts and contributes the tasks to the specific rule complexes. Such a system management guarantees a problem solving strategy, which operates event triggered and situation specific in a local inference domain. (author). 3 refs, 6 figs, 2 tabs

Personal Conceptions of Intelligence, Self-Esteem, and School Achievement in Italian and Portuguese Students

Science.gov (United States)

Pepi, Annamaria; Faria, Luisa; Alesi, Marianna

2006-01-01

Educational research places emphasis on the fact that different cultures have different self-construals. These construals can influence cognitive, emotional, and motivational processes in individuals. Great importance is attached to individuals' implicit conceptions of the nature of their intelligence (incremental or entity) and self-esteem. In…

Next generation Emotional Intelligence

Science.gov (United States)

J. Saveland

2012-01-01

Emotional Intelligence has been a hot topic in leadership training since Dan Goleman published his book on the subject in 1995. Emotional intelligence competencies are typically focused on recognition and regulation of emotions in one's self and social situations, yielding four categories: self-awareness, self-management, social awareness and relationship...

On-line surveillance system for Borssele nuclear power plant monitoring and diagnostics

International Nuclear Information System (INIS)

Tuerkcan, E.; Ciftcioglu, Oe.

1993-08-01

An operating on-line surveillance and diagnostic system is described where information processing for monitoring and fault diagnosis and plant maintenance are addressed. The surveillance system by means of its realtime multiprocessing, multitasking execution capabilities can perform plant-wide and wide-range monitoring for enhanced plant safety and operational reliability as well as enhanced maintenance. At the same time the system provides the possibilities for goal-oriented research and development such as estimation, filtering, verification and validation and neural networks. (orig./HP)

Self-adapted thermocouple-diagnostic complex

International Nuclear Information System (INIS)

Alekseev, S.V.; Grankovskij, K.Eh.; Olejnikov, P.P.; Prijmak, S.V.; Shikalov, V.F.

2003-01-01

A self-adapted thermocouple-diagnostic complex (STDC) for obtaining the reliable data on the coolant temperature in the reactors of NPP is described. The STDC in based on the thermal pulse monitoring of a thermocouple in the measuring channel of a reactor. Measurement method and STDC composition are substantiated. It is shown that introduction of the developed STDC ensures realization of precise and reliable temperature monitoring in the reactors of all types [ru

Development and validation of the Emotional Self-Awareness Questionnaire: a measure of emotional intelligence.

Science.gov (United States)

Killian, Kyle D

2012-07-01

This study examined the psychometric characteristics of the Emotional Self-Awareness Questionnaire (ESQ), a self-report measure of emotional intelligence. The ESQ, Emotional Intelligence Scale, and measures of alexithymia, positive negative affect, personality, cognitive ability, life satisfaction, and leadership aspirations were administered to 1,406 undergraduate psychology students. The ESQ was reduced from 118 to 60 items via factor and reliability analyses, retaining 11 subscales and a normal score distribution with a reliability of .92. The ESQ had significant positive correlations with the Emotional Intelligence Test and positive affect, significant negative correlations with alexithymia and negative affect, and an insignificant correlation with cognitive ability. The ESQ accounted for 35% of the variance in life satisfaction over and above the Big Five, cognitive ability, and self-esteem, and demonstrated incremental validity in explaining GPA and leadership aspirations. The significance of emotional intelligence as a unique contributor to psychological well-being and performance, and applications for the ESQ in assessment and outcome research in couple and family therapy are discussed. © 2011 American Association for Marriage and Family Therapy.

Measurement properties of screening and diagnostic tools for autism spectrum adults of mean normal intelligence: A systematic review.

Science.gov (United States)

Baghdadli, A; Russet, F; Mottron, L

2017-07-01

The autism spectrum (AS) is a multifaceted neurodevelopmental variant associated with lifelong challenges. Despite the relevant importance of identifying AS in adults for epidemiological, public health, and quality of life issues, the measurement properties of the tools currently used to screen and diagnose adults without intellectual disabilities (ID) have not been assessed. This systematic review addresses the accuracy, reliability, and validity of the reported AS screening and diagnostic tools used in adults without ID. Electronic databases and bibliographies were searched, and identified papers evaluated against inclusion criteria. The PRISMA statement was used for reporting the review. We evaluated the quality of the papers using the COSMIN Checklist for psychometric data, and QUADAS-2 for diagnostic data. For the COSMIN assessment, evidence was considered to be strong when several methodologically good articles, or one excellent article, reported consistent evidence for or against a measurement property. For the QUADAS ratings, evidence was considered to be "satisfactory" if at least one study was rated with a low risk of bias and low concern about applicability. We included 38 articles comprising 32 studies, five reviews, and one book chapter and assessed nine tools (three diagnostic and six screening, including eight of their short versions). Among screening tools, only AQ-50, AQ-S, and RAADS-R and RAADS-14 were found to provide satisfactory or intermediate values for their psychometric properties, supported by strong or moderate evidence. Nevertheless, risks of bias and concerns on the applicability of these tools limit the evidence on their diagnostic properties. We found that none of the gold standard diagnostic tools used for children had satisfactory measurement properties. There is limited evidence for the measurement properties of the screening and diagnostic tools used for AS adults with a mean normal range of measured intelligence. This may lessen

Effect of Whole-Body Vibration on Speech. Part 2; Effect on Intelligibility

Science.gov (United States)

Begault, Durand R.

2011-01-01

The effect on speech intelligibility was measured for speech where talkers reading Diagnostic Rhyme Test material were exposed to 0.7 g whole body vibration to simulate space vehicle launch. Across all talkers, the effect of vibration was to degrade the percentage of correctly transcribed words from 83% to 74%. The magnitude of the effect of vibration on speech communication varies between individuals, for both talkers and listeners. A worst case scenario for intelligibility would be the most sensitive listener hearing the most sensitive talker; one participant s intelligibility was reduced by 26% (97% to 71%) for one of the talkers.

7th International Symposium on Intelligent Distributed Computing

CERN Document Server

Jung, Jason; Badica, Costin

2014-01-01

This book represents the combined peer-reviewed proceedings of the Seventh International Symposium on Intelligent Distributed Computing - IDC-2013, of the Second Workshop on Agents for Clouds - A4C-2013, of the Fifth International Workshop on Multi-Agent Systems Technology and Semantics - MASTS-2013, and of the International Workshop on Intelligent Robots - iR-2013. All the events were held in Prague, Czech Republic during September 4-6, 2013. The 41 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: agent-based data processing, ambient intelligence, bio-informatics, collaborative systems, cryptography and security, distributed algorithms, grid and cloud computing, information extraction, intelligent robotics, knowledge management, linked data, mobile agents, ontologies, pervasive computing, self-organizing systems, peer-to-peer computing, social networks and trust, and swarm intelligence.  .

Self-activating intelligent home using bluetooth

Science.gov (United States)

Karthikeyan, P.; Sumanth, N.; Jude, S.

2017-11-01

Homes today need to exploit the various technologies available to make them intelligent. In this paper, a wireless system is proposed to automate home appliances using Bluetooth. This system can be used from a Bluetooth module that is closer than 10 meters to the system. Once in range, various appliances can be self-activated by the software that is built into a microcontroller. It is envisioned to offer automation of doors, lights and various electrical appliances. It also offers a complete user based automation for an improved personal experience.

A Profound Survey on Swarm Intelligence

OpenAIRE

Manish Mahant; Bharat Choudhary; Abhishek Kesharwani; Kalyani Singh Rathore

2012-01-01

Swarm Intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The inspiration often comes from nature, especially biological systems. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. SI systems are typically made up of a population of simple agents or boids interacting locally with one another and their environment. T...

Parents think their sons are brighter than their daughters: sex differences in parental self-estimations and estimations of their children's multiple intelligences.

Science.gov (United States)

Furnham, Adrian; Reeves, Emma; Budhani, Salima

2002-03-01

In this study, 156 participants, predominantly White British adults (M age = 44.3 years) rated themselves on overall IQ and on H. Gardner's (1983) 7 intelligence subtypes. Parents (n = 120) also estimated the intelligence of their children. Men's self-estimates were significantly higher than women's (110.15 vs. 104.84). Participants thought their verbal, mathematical, and spatial intelligence scores were the best indicators of their own overall intelligence. Parents estimated that their sons had significantly higher IQs than their daughters (115.21 vs. 107.49). Self-estimates and estimates of children's multiple intelligences were higher for men and sons, significantly so for logical-mathematical and spatial intelligence. Parents rated 2nd-born daughters as having significantly higher verbal and musical intelligence than their male counterparts. Higher parental IQ self-estimates corresponded with higher IQ estimates for children. Results for 1st-born children were clearest and showed the most significant differences. The findings are interpreted in terms of sociocultural and familial influences and the possibility of actual sex differences in particular abilities.

Self-reported emotional dysregulation but no impairment of emotional intelligence in borderline personality disorder: an explorative study.

Science.gov (United States)

Beblo, Thomas; Pastuszak, Anna; Griepenstroh, Julia; Fernando, Silvia; Driessen, Martin; Schütz, Astrid; Rentzsch, Katrin; Schlosser, Nicole

2010-05-01

Emotional dysfunction is a key feature of patients with borderline personality disorder (BPD) but emotional intelligence (EI) has rarely been investigated in this sample. This study aimed at an investigation of ability EI, general intelligence, and self-reported emotion regulation in BPD. We included 19 patients with BPD and 20 healthy control subjects in the study. EI was assessed by means of the Mayer-Salovey-Caruso emotional intelligence test and the test of emotional intelligence. For the assessment of general intelligence, we administered the multidimensional "Leistungsprüfsystem-Kurzversion." The emotion regulation questionnaire and the difficulties in Emotion Regulation Scale were used to assess emotion regulation. The patients with BPD did not exhibit impairments of ability EI and general intelligence but reported severe impairments in emotion regulation. Ability EI was related both to general intelligence (patients and controls) and to self-reported emotion regulation (patients). In conclusion, emotional dysfunction in BPD might primarily affect self-perceived behavior rather than abilities. Intense negative emotions in everyday life may trigger dysfunctional emotion regulation strategies in BPD although patients possess sufficient theoretical knowledge about optimal regulation strategies.

Intelligent type sodium instrumentations for LMFBR

International Nuclear Information System (INIS)

Chen Daolong

1996-07-01

The constructions and performances of lots of newly developed intelligent type sodium instrumentations are described. The graduation characteristic equations for corresponding transducer using the medium temperature as the parameter are given. These intelligent type sodium instrumentations are possessed of good linearity. The accurate measurement data of sodium process parameters (flowrate, pressure and level) can be obtained by means of their on-line compensation function of the temperature effect. Moreover, these intelligent type sodium instrumentations are possessed of the self-inspection, the electric shutoff protection, the setting of full-scale, the setting of alarm limits (two upper limits and two lower limits alarms), the thermocouple breaking alarm, mutual isolative the 0∼10 V direct-current analogue output and the CENTRONICS standard digital output, and the alarm relay contact output. Theses intelligent type sodium instrumentations are suitable particularly for the instrument, control and protective systems of LMFBR by means of these excellent functions based on microprocessor. The basic errors of the intelligent type sodium flowmeter, immersed sodium flowmeter, sodium manometer and sodium level gauge are +-2%, +-2.3%, +-0.3% and +-1.9% of measuring ranges respectively. (9 figs.)

Swarm intelligence in fish? The difficulty in demonstrating distributed and self-organised collective intelligence in (some) animal groups.

Science.gov (United States)

Ioannou, Christos C

2017-08-01

Larger groups often have a greater ability to solve cognitive tasks compared to smaller ones or lone individuals. This is well established in social insects, navigating flocks of birds, and in groups of prey collectively vigilant for predators. Research in social insects has convincingly shown that improved cognitive performance can arise from self-organised local interactions between individuals that integrates their contributions, often referred to as swarm intelligence. This emergent collective intelligence has gained in popularity and been directly applied to groups of other animals, including fish. Despite being a likely mechanism at least partially explaining group performance in vertebrates, I argue here that other possible explanations are rarely ruled out in empirical studies. Hence, evidence for self-organised collective (or 'swarm') intelligence in fish is not as strong as it would first appear. These other explanations, the 'pool-of-competence' and the greater cognitive ability of individuals when in larger groups, are also reviewed. Also discussed is why improved group performance in general may be less often observed in animals such as shoaling fish compared to social insects. This review intends to highlight the difficulties in exploring collective intelligence in animal groups, ideally leading to further empirical work to illuminate these issues. Copyright © 2016 The Author. Published by Elsevier B.V. All rights reserved.

A Study on Remote On-Line Diagnostic System for Vehicles by Integrating the Technology of OBD, GPS, and 3G

OpenAIRE

Jyong Lin; Shih-Chang Chen; Yu-Tsen Shih; Shi-Huang Chen

2009-01-01

This paper presents a remote on-line diagnostic system for vehicles via the use of On-Board Diagnostic (OBD), GPS, and 3G techniques. The main parts of the proposed system are on-board computer, vehicle monitor server, and vehicle status browser. First, the on-board computer can obtain the location of deriver and vehicle status from GPS receiver and OBD interface, respectively. Then on-board computer will connect with the vehicle monitor server through 3G network to trans...

Autonomous power expert fault diagnostic system for Space Station Freedom electrical power system testbed

Science.gov (United States)

Truong, Long V.; Walters, Jerry L.; Roth, Mary Ellen; Quinn, Todd M.; Krawczonek, Walter M.

1990-01-01

The goal of the Autonomous Power System (APS) program is to develop and apply intelligent problem solving and control to the Space Station Freedom Electrical Power System (SSF/EPS) testbed being developed and demonstrated at NASA Lewis Research Center. The objectives of the program are to establish artificial intelligence technology paths, to craft knowledge-based tools with advanced human-operator interfaces for power systems, and to interface and integrate knowledge-based systems with conventional controllers. The Autonomous Power EXpert (APEX) portion of the APS program will integrate a knowledge-based fault diagnostic system and a power resource planner-scheduler. Then APEX will interface on-line with the SSF/EPS testbed and its Power Management Controller (PMC). The key tasks include establishing knowledge bases for system diagnostics, fault detection and isolation analysis, on-line information accessing through PMC, enhanced data management, and multiple-level, object-oriented operator displays. The first prototype of the diagnostic expert system for fault detection and isolation has been developed. The knowledge bases and the rule-based model that were developed for the Power Distribution Control Unit subsystem of the SSF/EPS testbed are described. A corresponding troubleshooting technique is also described.

Intelligent self-organization methods for wireless ad hoc sensor networks based on limited resources

Science.gov (United States)

Hortos, William S.

2006-05-01

A wireless ad hoc sensor network (WSN) is a configuration for area surveillance that affords rapid, flexible deployment in arbitrary threat environments. There is no infrastructure support and sensor nodes communicate with each other only when they are in transmission range. To a greater degree than the terminals found in mobile ad hoc networks (MANETs) for communications, sensor nodes are resource-constrained, with limited computational processing, bandwidth, memory, and power, and are typically unattended once in operation. Consequently, the level of information exchange among nodes, to support any complex adaptive algorithms to establish network connectivity and optimize throughput, not only deplete those limited resources and creates high overhead in narrowband communications, but also increase network vulnerability to eavesdropping by malicious nodes. Cooperation among nodes, critical to the mission of sensor networks, can thus be disrupted by the inappropriate choice of the method for self-organization. Recent published contributions to the self-configuration of ad hoc sensor networks, e.g., self-organizing mapping and swarm intelligence techniques, have been based on the adaptive control of the cross-layer interactions found in MANET protocols to achieve one or more performance objectives: connectivity, intrusion resistance, power control, throughput, and delay. However, few studies have examined the performance of these algorithms when implemented with the limited resources of WSNs. In this paper, self-organization algorithms for the initiation, operation and maintenance of a network topology from a collection of wireless sensor nodes are proposed that improve the performance metrics significant to WSNs. The intelligent algorithm approach emphasizes low computational complexity, energy efficiency and robust adaptation to change, allowing distributed implementation with the actual limited resources of the cooperative nodes of the network. Extensions of the

Prodiag--a hybrid artificial intelligence based reactor diagnostic system for process faults

International Nuclear Information System (INIS)

Reifman, J.; Wei, T.Y.C.; Vitela, J.E.; Applequist, C. A.; Chasensky, T.M.

1996-01-01

Commonwealth Research Corporation (CRC) and Argonne National Laboratory (ANL) are collaborating on a DOE-sponsored Cooperative Research and Development Agreement (CRADA), project to perform feasibility studies on a novel approach to Artificial Intelligence (Al) based diagnostics for component faults in nuclear power plants. Investigations are being performed in the construction of a first-principles physics-based plant level process diagnostic expert system (ES) and the identification of component-level fault patterns through operating component characteristics using artificial neural networks (ANNs). The purpose of the proof-of-concept project is to develop a computer-based system using this Al approach to assist process plant operators during off-normal plant conditions. The proposed computer-based system will use thermal hydraulic (T-H) signals complemented by other non-T-H signals available in the data stream to provide the process operator with the component which most likely caused the observed process disturbance.To demonstrate the scale-up feasibility of the proposed diagnostic system it is being developed for use with the Chemical Volume Control System (CVCS) of a nuclear power plant. A full-scope operator training simulator representing the Commonwealth Edison Braidwood nuclear power plant is being used both as the source of development data and as the means to evaluate the advantages of the proposed diagnostic system. This is an ongoing multi-year project and this paper presents the results to date of the CRADA phase

Personalized E- learning System Based on Intelligent Agent

Science.gov (United States)

Duo, Sun; Ying, Zhou Cai

Lack of personalized learning is the key shortcoming of traditional e-Learning system. This paper analyzes the personal characters in e-Learning activity. In order to meet the personalized e-learning, a personalized e-learning system based on intelligent agent was proposed and realized in the paper. The structure of system, work process, the design of intelligent agent and the realization of intelligent agent were introduced in the paper. After the test use of the system by certain network school, we found that the system could improve the learner's initiative participation, which can provide learners with personalized knowledge service. Thus, we thought it might be a practical solution to realize self- learning and self-promotion in the lifelong education age.

Emotional Intelligence: A Novel Outcome Associated with Wellbeing and Self-Management in Chronic Obstructive Pulmonary Disease.

Science.gov (United States)

Benzo, Roberto P; Kirsch, Janae L; Dulohery, Megan M; Abascal-Bolado, Beatriz

2016-01-01

Individuals with chronic obstructive pulmonary disease (COPD) often struggle with diminished autonomy and quality of life. Emotional factors play a crucial role in the well-being of patients with COPD; they are independently associated with critical outcomes such as dyspnea, quality of life, and health care use. Emotional intelligence is the capacity to understand and manage personal thoughts and feelings, as well as to positively influence interpersonal communication and social well-being. Emotional intelligence is a trainable skill that is extensively used in corporate business to improve well-being and performance, and it may also be significant in the self-management of emotions in patients with chronic disease. Importantly, research supports the proposition that emotional intelligence may be developed and learned at any time or any age, and training programs have been associated with increased well-being and better emotional regulation in patients with chronic disease. However, to date, no research has been done to investigate its value in patients with COPD. We aimed to investigate the association between emotional intelligence and two meaningful outcomes in COPD: quality of life and self-management abilities. Participants with moderate to severe COPD completed a disease-specific quality of life tool (Chronic Respiratory Questionnaire), the Trait Emotional Intelligence Questionnaire, the Self-Management Abilities Scale, the modified Medical Research Council Dyspnea Scale, and pulmonary function tests, and also provided information about living conditions and self-reported health care use. A total of 310 patients with COPD (mean age, 69 ± 9 yr; 40% female; mean FEV1%, 42.4 ± 15.8) participated in the study. Emotional intelligence was significantly and independently associated with self-management abilities (P emotions, and mastery; P Emotional intelligence may represent an important attribute in COPD, as it is associated with self

The Far Infrared Lines of OH as Molecular Cloud Diagnostics

Science.gov (United States)

Smith, Howard A.

2004-01-01

Future IR missions should give some priority to high resolution spectroscopic observations of the set of far-IR transitions of OH. There are 15 far-IR lines arising between the lowest eight rotational levels of OH, and ISO detected nine of them. Furthermore, ISO found the OH lines, sometimes in emission and sometimes in absorption, in a wide variety of galactic and extragalactic objects ranging from AGB stars to molecular clouds to active galactic nuclei and ultra-luminous IR galaxies. The ISO/LWS Fabry-Perot resolved the 119 m doublet line in a few of the strong sources. This set of OH lines provides a uniquely important diagnostic for many reasons: the lines span a wide wavelength range (28.9 m to 163.2 m); the transitions have fast radiative rates; the abundance of the species is relatively high; the IR continuum plays an important role as a pump; the contribution from shocks is relatively minor; and, not least, the powerful centimeter-wave radiation from OH allows comparison with radio and VLBI datasets. The problem is that the large number of sensitive free parameters, and the large optical depths of the strongest lines, make modeling the full set a difficult job. The SWAS montecarlo radiative transfer code has been used to analyze the ISO/LWS spectra of a number of objects with good success, including in both the lines and the FIR continuum; the DUSTY radiative transfer code was used to insure a self-consistent continuum. Other far IR lines including those from H2O, CO, and [OI] are also in the code. The OH lines all show features which future FIR spectrometers should be able to resolve, and which will enable further refinements in the details of each cloud's structure. Some examples are given, including the case of S140, for which independent SWAS data found evidence for bulk flows.

[Aging-induced differences in relationships between intelligence and self-assessment of quality of life].

Science.gov (United States)

Razumnikova, O M; Prokhorova, L V; Yashanina, A A

2016-01-01

Relationships between a self-assessment of quality of life and level of verbal, figurative and social intelligence in three age groups of students (middle age 63,9±5,8, 32±7,2, and 19,7±1,5 years; 90 % women) are studied. The group of elderly people differed from younger in low values of an integrated indicator physical health according to SF-36 questionnaire, especially - on scales physical and role functioning, and decreased figurative and social intelligence at relative constancy of verbal IQ. The different age-associated forms of interrelation of components of intelligence and quality of life are found: positive correlation between social intelligence and role functioning scores at senior persons; more numerous positive correlations between verbal and figurative intelligence and indicators of quality of life including integrated indicator of mental health in the thirty-year-old group; and positive correlation between verbal intelligence and values on a scale physical functioning, but negative correlations between figurative intelligence and role functioning and between social intelligence and an integrated indicator physical health for the twenty-year-old group. Therefore, continuous education and IQ increasing during professional activity and after retirement it is possible to consider as prognostic valuable factors of «successful» aging.

Self-efficacy, emotional intelligence and birth order as predictors of ...

African Journals Online (AJOL)

Self-efficacy, emotional intelligence and birth order as predictors of academic performance among secondary school students in Kajola Local Government ... standardized scales and the data obtained was analyzed using Pearson Product Moment Correlation (PPMC) and Multiple Regression Statistical analysis of SPSS.

Diagnostic expert system in the PF LINAC

International Nuclear Information System (INIS)

Abe, Isamu; Nakahara, Kazuo; Kitamura, Masaharu.

1992-01-01

A prototype diagnostic expert system (ES) was developed for the Photon Factory 2.5-GeV electron/positron LINAC injector system. The ES has been on-lined with the conventional linac computer network for receiving real data. This project was undertaken in an attempt to reduce the linac operator's mental workload, diagnosis duties, and to explore Artificial Intelligence (AI) technologies. The outlook for ES and its problems, and what has been achieved are outlined in this presentation. (author)

Emotional and meta-emotional intelligence as predictors of adjustment problems in students with Specific Learning Disorders

Directory of Open Access Journals (Sweden)

Antonella D’Amico

2017-11-01

Full Text Available The purpose of this study was to analyse adjustment problems in a group of adolescents with a Specific Learning Disorder (SLD, examining to what extent they depend on the severity level of the learning disorder and/or on the individual‟s level of emotional intelligence. Adjustment problems,, perceived severity levels of SLD, and emotional and meta-emotional intelligence were examined in 34 adolescents with SLD. Results demonstrated that emotional beliefs, emotional self-concept and emotional intelligence are very important factors in the psychological adjustment of adolescents with SLD. These results provide evidence for the importance of considering meta-emotional intelligence in both diagnostic and intervention protocols, as well as in the inclusive education of students with SLD.

Next generation emotional intelligence (Abstract)

Science.gov (United States)

Jim Saveland

2012-01-01

Emotional intelligence has been a hot topic in leadership training since Dan Goleman published his book on the subject in 1995. Emotional intelligence competencies are typically focused on recognition and regulation of emotions in one's self and social situations, yielding four categories: self-awareness, self-management, social awareness and relationship...

The Role of Personality Traits, Core Self-Evaluation, and Emotional Intelligence in Career Decision-Making Difficulties

Science.gov (United States)

Di Fabio, Annamaria; Palazzeschi, Letizia; Bar-On, Reuven

2012-01-01

This study examines the role of personality traits, core self-evaluation, and emotional intelligence (EI) in career decision-making difficulties. Italian university students (N = 232) responded to questions on the Big Five Questionnaire, Core Self-Evaluation Scale, Bar-On Emotional Quotient Inventory, and Career Decision-Making Difficulties…

Inter-relationship of intelligence-quotient and self-concept with dental caries amongst socially handicapped orphan children.

Science.gov (United States)

Virk, Pks; Jain, R L; Pathak, A; Sharma, U; Rajput, J S

2012-01-01

India has been the focus of many health surveys among normal, physically, and mentally handicapped children. However, the data, concerning oral health conditions of socially handicapped children living in orphanages, are scanty. To study the effect of parental inadequacy, environmental deprivation, and emotional disturbances on dental caries through intelligence quotient (IQ) and self-concept in orphan children and also to co-relate dental caries with different levels of IQ and self-concept. The study was carried out amongst socially handicapped children living in orphanages. 100 children in the age group of 10-14 years from orphanages were selected. Malin's Intelligence Scale for Indian Children (MISIC) was used to assess the intelligence quotient; self-concept questionnaire to assess self-concept of the child and recording of dental caries status of children was done as per WHO Index (1997). To assess the relationship of dental caries with IQ, student's unpaired t-test was used and; to find the relationship between self-concept and dental caries, Karl-Pearson's coefficient of co-relation was applied. the children in orphanages had a lower IQ and high caries experience but had an above average self-concept. There was also no co-relation between dental caries and self-concept. Orphan children, being socially handicapped, are at an increased risk for dental caries due to a lower IQ level, parental deprivation, and institutionalization. Moreover, lack of co-relation between dental caries and self-concept could be explained by the fact that dental caries is a lifelong process whereas different dimensions of self-concept are in a state of constant flux.

Cybernetic Security and Business Intelligence in the System of Diagnostics of Economic Security of the Enterprise

Directory of Open Access Journals (Sweden)

Ruslan Skrynkovskyy

2017-10-01

Full Text Available The purpose of the article is to determine the place, the role and features of cybernetic security and improve the business intelligence scheme in the system of diagnosing economic security of the enterprise. It had been found out that: 1 the term “cybernetic security of an enterprise” should be understood as the state of the protection of the cybernetic space of the whole enterprise or individual objects of its information infrastructure (computer system, computer data, etc. from the risk of external cybernetic influence, which ensures their sustainable development and the formation of prospects, as well as timely detection, prevention and neutralization of real and potential cybernetic interruptions and threats to the interests of the enterprise; 2 the main components of cybernetic security in the system of diagnostics of economic security of the enterprise are: investigation of information and telecommunication systems and cryptosystems of the opposing sides; cybernetic effects; protection of information sphere. It was established that the main task of business intelligence in the system of diagnosing economic security of the enterprise is the verification of the reliability of business information, the provision of cybernetic protection of information resources, information and communication technologies and systems and the elimination of the possibility of misinformation of senior management by the managers of the middle level, suppliers, marketing intermediaries, clientele, competitors or contact audiences of the enterprise. The prospect of further research in this direction is the development of a system of goals of the polycriterial diagnostics of the activity (economic diagnostics of the enterprise (on the basis of the isolation and systematization of its diagnostic purposes, taking into account the presented results of the study.

Resonance broadening of Hg lines as a density diagnostic in high intensity discharge lamps

International Nuclear Information System (INIS)

Lawler, J E

2004-01-01

The use of width measurements on resonance broadened lines of Hg as a density diagnostic in high intensity discharge (HID) lamps is reviewed and further developed in this paper. Optical depths of Hg I lines at 491.6 nm, 577.0 nm, and 1014 nm are computed as a function of temperature to confirm that these lines are optically thin in most HID lamps. The effect of quadratic and quartic radial temperature variation on the width of resonance broadened lines is computed for arc core temperatures from 4000 K to 7000 K. Such variations in temperature, and inverse variations in Hg density, are found to increase the line widths by less than 10% for 'side-on' emission measurements averaged over the arc radius. Theoretical profiles of resonance broadened spectral lines, both radially averaged and as a function of chord offset, are presented. Observations of resonance broadened lines in a metal-halide HID lamp are presented and analysed. It is concluded that the widths of resonance broadened lines provide a convenient and reliable diagnostic for the arc core Hg density but are generally not very sensitive to the radial temperature and Hg density gradient

On the Nature of Intelligence

Science.gov (United States)

Churchland, Paul M.

Alan Turing is the consensus patron saint of the classical research program in Artificial Intelligence (AI), and his behavioral test for the possession of conscious intelligence has become his principal legacy in the mind of the academic public. Both takes are mistakes. That test is a dialectical throwaway line even for Turing himself, a tertiary gesture aimed at softening the intellectual resistance to a research program which, in his hands, possessed real substance, both mathematical and theoretical. The wrangling over his celebrated test has deflected attention away from those more substantial achievements, and away from the enduring obligation to construct a substantive theory of what conscious intelligence really is, as opposed to an epistemological account of how to tell when you are confronting an instance of it. This essay explores Turing's substantive research program on the nature of intelligence, and argues that the classical AI program is not its best expression, nor even the expression intended by Turing. It then attempts to put the famous Test into its proper, and much reduced, perspective.

The Weighted Support Vector Machine Based on Hybrid Swarm Intelligence Optimization for Icing Prediction of Transmission Line

Directory of Open Access Journals (Sweden)

Xiaomin Xu

2015-01-01

Full Text Available Not only can the icing coat on transmission line cause the electrical fault of gap discharge and icing flashover but also it will lead to the mechanical failure of tower, conductor, insulators, and others. It will bring great harm to the people’s daily life and work. Thus, accurate prediction of ice thickness has important significance for power department to control the ice disaster effectively. Based on the analysis of standard support vector machine, this paper presents a weighted support vector machine regression model based on the similarity (WSVR. According to the different importance of samples, this paper introduces the weighted support vector machine and optimizes its parameters by hybrid swarm intelligence optimization algorithm with the particle swarm and ant colony (PSO-ACO, which improves the generalization ability of the model. In the case study, the actual data of ice thickness and climate in a certain area of Hunan province have been used to predict the icing thickness of the area, which verifies the validity and applicability of this proposed method. The predicted results show that the intelligent model proposed in this paper has higher precision and stronger generalization ability.

Measuring and Validating Emotional Intelligence as Performance or Self-Report

OpenAIRE

Sjöberg, Lennart; Engelberg, Elisabeth

2004-01-01

This is a study of emotional intelligence (EI). EI was measured by performance and self-report tasks. Data were also obtained on basic values, some standard personality dimensions such as those specified in the five-factor model, social adjustment and several scales of impression management. Criteria were loneliness, work-family life balance and Internet addiction, and also measures of emotional and value deviance. Participants were college students in a business education program who partici...

Self-regenerative function of the intelligent automotive catalyst

International Nuclear Information System (INIS)

Tanaka, Hirohisa; Nishihata, Yasuo

2007-01-01

Intelligent catalyst, in which noble metals are used as an active part of automotive catalyst, has been considered for keeping up their sufficient activity. The noble metals have a function of cleaning up the exhaust gas as well as that of self-regeneration. In 2002, a Pd system has been put to practical use, and continuously Rh and Pt systems have been commercialized. Now the catalyst has been used in more than three million vehicles. In this report, the atomic level mechanism of the catalyst and its self-regeneration function getting from analyses using synchrotron radiation are introduced. By the analysis using the Spring-8, the mechanism of keeping the active state of the Pd Perovskite Oxide without degradation was identified. The DXAFS (Dispersive X-ray Absorption Fine Structure) analysis in the ESRF (European Synchrotron Radiation Facility) made clear the self-regeneration mechanism of the Pd Perovskite Oxide. This knowledge could lead to the practical development of the Rh and Pt systems. The catalyst technology is counted on balancing resources of the noble metal and environmental sustainability. (A.H.)

Diagnostics on Z (invited)

International Nuclear Information System (INIS)

Nash, T. J.; Derzon, M. S.; Chandler, G. A.; Fehl, D. L.; Leeper, R. J.; Porter, J. L.; Spielman, R. B.; Ruiz, C.; Cooper, G.; McGurn, J.

2001-01-01

The 100 ns, 20 MA pinch-driver Z is surrounded by an extensive set of diagnostics. There are nine radial lines of sight set at 12 o above horizontal and each of these may be equipped with up to five diagnostic ports. Instruments routinely fielded viewing the pinch from the side with these ports include x-ray diode arrays, photoconducting detector arrays, bolometers, transmission grating spectrometers, time-resolved x-ray pinhole cameras, x-ray crystal spectrometers, calorimeters, silicon photodiodes, and neutron detectors. A diagnostic package fielded on axis for viewing internal pinch radiation consists of nine lines of sight. This package accommodates virtually the same diagnostics as the radial ports. Other diagnostics not fielded on the axial or radial ports include current B-dot monitors, filtered x-ray scintillators coupled by fiber optics to streak cameras, streaked visible spectroscopy, velocity interferometric system for any reflector, bremsstrahlung cameras, and active shock breakout measurement of hohlraum temperature. The data acquisition system is capable of recording up to 500 channels and the data from each shot is available on the Internet. A major new diagnostic presently under construction is the BEAMLET backlighter. We will briefly describe each of these diagnostics and present some of the highest-quality data from them

Effective Stress Management: A Model of Emotional Intelligence, Self-Leadership, and Student Stress Coping

Science.gov (United States)

Houghton, Jeffery D.; Wu, Jinpei; Godwin, Jeffrey L.; Neck, Christopher P.; Manz, Charles C.

2012-01-01

This article develops and presents a model of the relationships among emotional intelligence, self-leadership, and stress coping among management students. In short, the authors' model suggests that effective emotion regulation and self-leadership, as mediated through positive affect and self-efficacy, has the potential to facilitate stress coping…

Bio-inspired intelligent evaporation modulation in a thermo-sensitive nanogel colloid solution for self-thermoregulation.

Science.gov (United States)

Huang, Zhi; Liu, Kang; Feng, Yanhui; Zhou, Jun; Zhang, Xinxin

2017-06-28

Intelligent evaporation and temperature modulation plays an important role in self-regulation of living organisms and many industrial applications. Here we demonstrate that a poly(N-isopropylacrylamide) (PNIPAM) nanogel colloid solution can spontaneously and intelligently modulate its evaporation rate with temperature variation, which has a larger evaporation rate than distilled water at a temperature higher than its lower critical solution temperature (LCST) and a smaller evaporation rate at a temperature lower than its LCST. It performs just like human skin. Theoretical analysis based on the thermodynamic derivation reveals that the evaporation rate transition around the LCST may originate from the saturated vapor pressure transition caused by the status transformation of the PNIPAM additives. An intelligent thermoregulation system based on the PNIPAM colloid solution is also demonstrated, illustrating its potential for intelligent temperature control and acting as an artificial skin.

The effects of sex and grade-point average on emotional intelligence.

Science.gov (United States)

Tapia, Martha; Marsh, George E

2006-01-01

This study was conducted to examine the effects of sex and grade-point average (GPA) on emotional intelligence on secondary students as measured by the Emotional Intelligence Inventory (EII). The EII is a 41-item Likert scale based on the original theoretical model of emotional intelligence developed by Salovey and Mayer. An exploratory factor analysis identified four factors, which were named Empathy, Utilization of Feelings, Handling Relationships, and Self-control. The sample consisted of 319 students, 162 males and 157 females, who attended school at a bilingual (English and Spanish) college preparatory school. General linear analysis revealed significant differences in empathy scores when grouped by gender. There were significant differences in self-control when grouped by GPA levels.

The Effectiveness of Problem-Based Learning Approach Based on Multiple Intelligences in Terms of Student’s Achievement, Mathematical Connection Ability, and Self-Esteem

Science.gov (United States)

Kartikasari, A.; Widjajanti, D. B.

2017-02-01

The aim of this study is to explore the effectiveness of learning approach using problem-based learning based on multiple intelligences in developing student’s achievement, mathematical connection ability, and self-esteem. This study is experimental research with research sample was 30 of Grade X students of MIA III MAN Yogyakarta III. Learning materials that were implemented consisting of trigonometry and geometry. For the purpose of this study, researchers designed an achievement test made up of 44 multiple choice questions with respectively 24 questions on the concept of trigonometry and 20 questions for geometry. The researcher also designed a connection mathematical test and self-esteem questionnaire that consisted of 7 essay questions on mathematical connection test and 30 items of self-esteem questionnaire. The learning approach said that to be effective if the proportion of students who achieved KKM on achievement test, the proportion of students who achieved a minimum score of high category on the results of both mathematical connection test and self-esteem questionnaire were greater than or equal to 70%. Based on the hypothesis testing at the significance level of 5%, it can be concluded that the learning approach using problem-based learning based on multiple intelligences was effective in terms of student’s achievement, mathematical connection ability, and self-esteem.

Intelligent navigation to improve obstetrical sonography.

Science.gov (United States)

Yeo, Lami; Romero, Roberto

2016-04-01

'Manual navigation' by the operator is the standard method used to obtain information from two-dimensional and volumetric sonography. Two-dimensional sonography is highly operator dependent and requires extensive training and expertise to assess fetal anatomy properly. Most of the sonographic examination time is devoted to acquisition of images, while 'retrieval' and display of diagnostic planes occurs rapidly (essentially instantaneously). In contrast, volumetric sonography has a rapid acquisition phase, but the retrieval and display of relevant diagnostic planes is often time-consuming, tedious and challenging. We propose the term 'intelligent navigation' to refer to a new method of interrogation of a volume dataset whereby identification and selection of key anatomical landmarks allow the system to: 1) generate a geometrical reconstruction of the organ of interest; and 2) automatically navigate, find, extract and display specific diagnostic planes. This is accomplished using operator-independent algorithms that are both predictable and adaptive. Virtual Intelligent Sonographer Assistance (VIS-Assistance®) is a tool that allows operator-independent sonographic navigation and exploration of the surrounding structures in previously identified diagnostic planes. The advantage of intelligent (over manual) navigation in volumetric sonography is the short time required for both acquisition and retrieval and display of diagnostic planes. Intelligent navigation technology automatically realigns the volume, and reorients and standardizes the anatomical position, so that the fetus and the diagnostic planes are consistently displayed in the same manner each time, regardless of the fetal position or the initial orientation. Automatic labeling of anatomical structures, subject orientation and each of the diagnostic planes is also possible. Intelligent navigation technology can operate on conventional computers, and is not dependent on specific ultrasound platforms or on the

Effects of emotional intelligence on entrepreneurial intention and self-efficacy

OpenAIRE

Andreea Mortan, Roxana; Ripoll, Pilar; Carvalho, Carla; Bernal, M. Consuelo

2014-01-01

Past studies associated emotional intelligence with positive workplace outcomes, such as job performance and job satisfaction. However, to date, the relationship between emotional intelligence and individual differences in entrepreneurship has been scarcely examined. In this study, the contribution of emotional intelligence dimensions to entrepreneurial potential is explored, controlling for the influence of personality traits and demographic variables. Using a sample of 394 participants, it ...

Artificial intelligence applications to the surveillance and diagnostics of nuclear power plants

International Nuclear Information System (INIS)

Zwingelstein, G.; Monnier, B.

1985-01-01

Artificial intelligence has come of age; it can be applied with benefits in the nuclear industry for various applications to improve both plant safety and availability. This paper presents four rule-based expert systems currently under development at Electricite de France for the surveillance and the diagnostics of pressurized water reactors (PWRs). The objectives of these experiences with expert system projects are to demonstrate their feasibility, to provide an evaluation of their potential benefits through on-site implementation, to identify the problems due to the knowledge extraction and representation, and finally to specify the classes of problems where expert systems are needed and useful. The specific goals of these expert systems are to provide an aid for the detection and location of failures occurring in nuclear plants

Social intelligence and adequate self-expression in patients with orbitofrontal cortex injury and in the criminals

Science.gov (United States)

Pąchalska, Maria; Ledwoch, Beata; Moskała, Marek; Zieniewicz, Katarzyna; Mańko, Grzegorz; Polak, Jarosław

2012-01-01

Summary Background The aim of present article is to compare patients with damage to the orbitofrontal cortex and prison inmates in terms of social intelligence and social intelligence monitoring. In addition, personal principles and emotional regulation of behavior will be assessed in both groups. Material/Methods 20 patients with orbitofrontal cortical injury, 20 prisoners and 20 controls answered questions from the Social Interactions Assessment Questionnaire. Then they evaluated their self-disclosure, reported their emotions related to self-disclosure and declared their personal principles concerning conversations with strangers. Results The patients with damage to the orbitofrontal cortex disclosed themselves to a stranger less appropriately than did other subjects, and did not assess it critically. They also violated their own declared principles, but did not feel embarrassed because of that. The prison inmates spoke out less forthrightly on many topics and felt confused during the whole examination. Conclusions Damage to the the orbital part of frontal lobes may result in a disorder of self-disclosure monitoring and impairment of social intelligence in conversations with unknown persons. Prison inmates give information about themselves unwillingly, which may result from their specific experiences during criminal and judicatory procedures and confinement. PMID:22648252

Cyberbullying Victimization, Self-Esteem and Suicidal Ideation in Adolescence: Does Emotional Intelligence Play a Buffering Role?

Science.gov (United States)

Extremera, Natalio; Quintana-Orts, Cirenia; Mérida-López, Sergio; Rey, Lourdes

2018-01-01

Cyberbullying has been linked to social, physical and psychological problems for adolescent victims but there has been no analysis of the specific role of emotional intelligence in protecting against the negative symptoms associated with cyberbullying victimization. This study examined the interaction between cyberbullying victimization and emotional intelligence (EI) as predictors of psychological maladjustment (operationalized as high suicidal ideation and low self-esteem) in 1,660 Spanish adolescents. We also investigated whether levels of EI moderated the relationship between cyberbullying victimization and mental health problems. The cyberbullying victimization x EI interaction contributed to variance in suicidal ideation and self-esteem in our sample of adolescent victims. Adolescent victims of cyberbullying with high EI scores reported lower suicidal ideation and higher self-esteem than their less emotionally intelligent counterparts. Thus, our data provide empirical support for theoretical and conceptual work connecting victimization, EI abilities and mental health associated with cyberbullying. This suggests that alone, but also in combination, EI may be particularly relevant in leading to increased levels of mental health issues in cyberbullying victims. Finally, the theoretical implications of our findings on the relationship between these variables and the mental health issues of adolescent victims of cyberbullying are discussed.

Symbiotic intelligence: Self-organizing knowledge on distributed networks, driven by human interaction

Energy Technology Data Exchange (ETDEWEB)

Johnson, N.; Joslyn, C.; Rocha, L.; Smith, S.; Kantor, M. [Los Alamos National Lab., NM (United States); Rasmussen, S. [Los Alamos National Lab., NM (United States)]|[Santa Fe Inst., NM (United States)

1998-07-01

This work addresses how human societies, and other diverse and distributed systems, solve collective challenges that are not approachable from the level of the individual, and how the Internet will change the way societies and organizations view problem solving. The authors apply the ideas developed in self-organizing systems to understand self-organization in informational systems. The simplest explanation as to why animals (for example, ants, wolves, and humans) are organized into societies is that these societies enhance the survival of the individuals which make up the populations. Individuals contribute to, as well as adapt to, these societies because they make life easier in one way or another, even though they may not always understand the process, either individually or collectively. Despite the lack of understanding of the how of the process, society during its existence as a species has changed significantly, from separate, small hunting tribes to a highly technological, globally integrated society. The authors combine this understanding of societal dynamics with self-organization on the Internet (the Net). The unique capability of the Net is that it combines, in a common medium, the entire human-technological system in both breadth and depth: breadth in the integration of heterogeneous systems of machines, information and people; and depth in the detailed capturing of the entire complexity of human use and creation of information. When the full diversity of societal dynamics is combined with the accuracy of communication on the Net, a phase transition is argued to occur in problem solving capability. Through conceptual examples, an experiment of collective decision making on the Net and a simulation showing the effect of noise and loss on collective decision making, the authors argue that the resulting symbiotic structure of humans and the Net will evolve as an alternative problem solving approach for groups, organizations and society. Self

Influence of a source line position on results of EM observations applied to the diagnostics of underground heating system pipelines in urban area

Science.gov (United States)

Vetrov, A.

2009-05-01

The condition of underground constructions, communication and supply systems in the cities has to be periodically monitored and controlled in order to prevent their breakage, which can result in serious accident, especially in urban area. The most risk of damage have the underground construction made of steal such as pipelines widely used for water, gas and heat supply. To ensure the pipeline survivability it is necessary to carry out the operative and inexpensive control of pipelines condition. Induced electromagnetic methods of geophysics can be applied to provide such diagnostics. The highly developed surface in urbane area is one of cause hampering the realization of electromagnetic methods of diagnostics. The main problem is in finding of an appropriate place for the source line and electrodes on a limited surface area and their optimal position relative to the observation path to minimize their influence on observed data. Author made a number of experiments of an underground heating system pipeline diagnostics using different position of the source line and electrodes. The experiments were made on a 200 meters section over 2 meters deep pipeline. The admissible length of the source line and angle between the source line and the observation path were determined. The minimal length of the source line for the experiment conditions and accuracy made 30 meters, the maximum admissible angle departure from the perpendicular position made 30 degrees. The work was undertaken in cooperation with diagnostics company DIsSO, Saint-Petersburg, Russia.

Intelligent, self-contained robotic hand

Science.gov (United States)

Krutik, Vitaliy; Doo, Burt; Townsend, William T.; Hauptman, Traveler; Crowell, Adam; Zenowich, Brian; Lawson, John

2007-01-30

A robotic device has a base and at least one finger having at least two links that are connected in series on rotary joints with at least two degrees of freedom. A brushless motor and an associated controller are located at each joint to produce a rotational movement of a link. Wires for electrical power and communication serially connect the controllers in a distributed control network. A network operating controller coordinates the operation of the network, including power distribution. At least one, but more typically two to five, wires interconnect all the controllers through one or more joints. Motor sensors and external world sensors monitor operating parameters of the robotic hand. The electrical signal output of the sensors can be input anywhere on the distributed control network. V-grooves on the robotic hand locate objects precisely and assist in gripping. The hand is sealed, immersible and has electrical connections through the rotary joints for anodizing in a single dunk without masking. In various forms, this intelligent, self-contained, dexterous hand, or combinations of such hands, can perform a wide variety of object gripping and manipulating tasks, as well as locomotion and combinations of locomotion and gripping.

Emotional Intelligence, Self-Esteem and Academic Achievement: A Case Study, English Department Students

OpenAIRE

Wiwik Andreani.

2013-01-01

This study examines the comparison between English Department students’ emotional intelligence (EQ), their self-esteem and their academic achievement. Twenty-two students participated in the research by answering EQ test and two Self-Esteem questionnaires. The result shows that there is no relation between students’ GPA and their self-esteem and EQ. This means that academic ability does not correspond to social skills. Though most students have average EQ and self-esteem, one student has High...

Novel Infiltration Diagnostics based on Laser-line Scanning and Infrared Temperature Field Imaging

Energy Technology Data Exchange (ETDEWEB)

Wang, Xinwei [Iowa State Univ., Ames, IA (United States)

2017-12-08

This project targets the building energy efficiency problems induced by building infiltration/leaks. The current infiltration inspection techniques often require extensive visual inspection and/or whole building pressure test. These current techniques cannot meet more than three of the below five criteria of ideal infiltration diagnostics: 1. location and extent diagnostics, 2. building-level application, 3. least surface preparation, 4. weather-proof, and 5. non-disruption to building occupants. These techniques are either too expensive or time consuming, and often lack accuracy and repeatability. They are hardly applicable to facades/facades section. The goal of the project was to develop a novel infiltration diagnostics technology based on laser line-scanning and simultaneous infrared temperature imaging. A laboratory scale experimental setup was designed to mimic a model house of well-defined pressure difference below or above the outside pressure. Algorithms and Matlab-based programs had been developed for recognition of the hole location in infrared images. Our experiment based on laser wavelengths of 450 and 1550 nm and laser beam diameters of 4-25 mm showed that the location of the holes could be identified using laser heating; the diagnostic approach however could not readily distinguish between infiltration and non-infiltration points. To significantly improve the scanning throughput and recognition accuracy, a second approach was explored, developed, and extensively tested. It incorporates a liquid spray on the surface to induce extra phase change cooling effect. In this spray method, we termed it as PECIT (Phase-change Enhanced Cooling Infrared Thermography), phase-change enhanced cooling was used, which significantly amplifies the effect of air flow (infiltration and exfiltration). This heat transfer method worked extremely well to identify infiltration and exfiltration locations with high accuracy and increased throughput. The PECIT technique was

Snap-drift neural computing for intelligent diagnostic feedback

OpenAIRE

Habte, Samson

2017-01-01

Information and communication technologies have been playing a crucial role in improving the efficiency and effectiveness of learning and teaching in higher education. Two decades ago, research studies were focused on how to use artificial intelligence techniques to imitate teachers or tutors in delivering learning sessions. Machine learning techniques have been applied in several research studies to construct a student model in the context of intelligent tutoring systems. However, the usage ...

Proposed Diagnostic Criteria for the DSM-5 of Nonsuicidal Self-Injury in Female Adolescents: Diagnostic and Clinical Correlates

Directory of Open Access Journals (Sweden)

Tina In-Albon

2013-01-01

Full Text Available Nonsuicidal self-injury (NSSI is included as conditions for further study in the DSM-5. Therefore, it is necessary to investigate the proposed diagnostic criteria and the diagnostic and clinical correlates for the validity of a diagnostic entity. The authors investigated the characteristics of NSSI disorder and the proposed diagnostic criteria. A sample of 73 female inpatient adolescents and 37 nonclinical adolescents (aged 13 to 19 years was recruited. Patients were classified into 4 groups (adolescents with NSSI disorder, adolescents with NSSI without impairment/distress, clinical controls without NSSI, and nonclinical controls. Adolescents were compared on self-reported psychopathology and diagnostic cooccurrences. Results indicate that adolescents with NSSI disorder have a higher level of impairment than adolescents with other mental disorders without NSSI. Most common comorbid diagnoses were major depression, social phobia, and PTSD. There was some overlap of adolescents with NSSI disorder and suicidal behaviour and borderline personality disorder, but there were also important differences. Results further suggest that the proposed DSM-5 diagnostic criteria for NSSI are useful and necessary. In conclusion, NSSI is a highly impairing disorder characterized by high comorbidity with various disorders, providing further evidence that NSSI should be a distinct diagnostic entity.

A Survey of Intelligent Control and Health Management Technologies for Aircraft Propulsion Systems

Science.gov (United States)

Litt, Jonathan S.; Simon, Donald L.; Garg, Sanjay; Guo, Ten-Heui; Mercer, Carolyn; Behbahani, Alireza; Bajwa, Anupa; Jensen, Daniel T.

2005-01-01

Intelligent Control and Health Management technology for aircraft propulsion systems is much more developed in the laboratory than in practice. With a renewed emphasis on reducing engine life cycle costs, improving fuel efficiency, increasing durability and life, etc., driven by various government programs, there is a strong push to move these technologies out of the laboratory and onto the engine. This paper describes the existing state of engine control and on-board health management, and surveys some specific technologies under development that will enable an aircraft propulsion system to operate in an intelligent way--defined as self-diagnostic, self-prognostic, self-optimizing, and mission adaptable. These technologies offer the potential for creating extremely safe, highly reliable systems. The technologies will help to enable a level of performance that far exceeds that of today s propulsion systems in terms of reduction of harmful emissions, maximization of fuel efficiency, and minimization of noise, while improving system affordability and safety. Technologies that are discussed include various aspects of propulsion control, diagnostics, prognostics, and their integration. The paper focuses on the improvements that can be achieved through innovative software and algorithms. It concentrates on those areas that do not require significant advances in sensors and actuators to make them achievable, while acknowledging the additional benefit that can be realized when those technologies become available. The paper also discusses issues associated with the introduction of some of the technologies.

Investigating the importance of self-theories of intelligence and musicality for students' academic and musical achievement.

Science.gov (United States)

Müllensiefen, Daniel; Harrison, Peter; Caprini, Francesco; Fancourt, Amy

2015-01-01

Musical abilities and active engagement with music have been shown to be positively associated with many cognitive abilities as well as social skills and academic performance in secondary school students. While there is evidence from intervention studies that musical training can be a cause of these positive relationships, recent findings in the literature have suggested that other factors, such as genetics, family background or personality traits, might also be contributing factors. In addition, there is mounting evidence that self-concepts and beliefs can affect academic performance independently of intellectual ability. Students who believe that intelligence is malleable are more likely to attribute poor academic performances to effort rather than ability, and are more likely to take remedial action to improve their performance. However, it is currently not known whether student's beliefs about the nature of musical talent also influence the development of musical abilities in a similar fashion. Therefore, this study introduces a short self-report measure termed "Musical Self-Theories and Goals," closely modeled on validated measures for self-theories in academic scenarios. Using this measure the study investigates whether musical self-theories are related to students' musical development as indexed by their concurrent musical activities and their performance on a battery of listening tests. We use data from a cross-sectional sample of 313 secondary school students to construct a network model describing the relationships between self-theories and academic as well as musical outcome measures, while also assessing potential effects of intelligence and the Big Five personality dimensions. Results from the network model indicate that self-theories of intelligence and musicality are closely related. In addition, both kinds of self-theories are connected to the students' academic achievement through the personality dimension conscientiousness and academic effort

Investigating the importance of self-theories of intelligence and musicality for students’ academic and musical achievement

Directory of Open Access Journals (Sweden)

Daniel eMüllensiefen

2015-11-01

Full Text Available Musical abilities and active engagement with music have been shown to be positively associated with many cognitive abilities as well as social skills and academic performance in secondary school students. While there is evidence from intervention studies that musical training can be a cause of these positive relationships, recent findings in the literature have suggested that other factors, such as genetics, family background or personality traits, might also be contributing factors. In addition, there is mounting evidence that self-concepts and beliefs can affect academic performance independently of intellectual ability. Students who believe that intelligence is malleable are more likely to attribute poor academic performances to effort rather than ability, and are more likely to take remedial action to improve their performance. However, it is currently not known whether student’s beliefs about the nature of musical talent also influence the development of musical abilities in a similar fashion. Therefore, this study introduces a short self-report measure termed ‘Musical Self-Theories and Goals’, closely modeled on validated measures for self-theories in academic scenarios. Using this measure the study investigates whether musical self-theories are related to students’ musical development as indexed by their concurrent musical activities and their performance on a battery of listening tests. We use data from a cross-sectional sample of 313 secondary school students to construct a network model describing the relationships between self-theories and academic as well as musical outcome measures, while also assessing potential effects of intelligence and the Big Five personality dimensions. Results from the network model indicate that self-theories of intelligence and musicality are closely related. In addition, both kinds of self-theories are connected to the students’ academic achievement through the personality dimension

Emotional intelligence of mental health nurses.

Science.gov (United States)

van Dusseldorp, Loes R L C; van Meijel, Berno K G; Derksen, Jan J L

2011-02-01

The aim of this study is to gain insight into the level of emotional intelligence of mental health nurses in the Netherlands. The focus in research on emotional intelligence to date has been on a variety of professionals. However, little is known about emotional intelligence in mental health nurses. The emotional intelligence of 98 Dutch nurses caring for psychiatric patients is reported. Data were collected with the Bar-On Emotional Quotient Inventory within a cross-sectional research design. The mean level of emotional intelligence of this sample of professionals is statistically significant higher than the emotional intelligence of the general population. Female nurses score significantly higher than men on the subscales Empathy, Social Responsibility, Interpersonal Relationship, Emotional Self-awareness, Self-Actualisation and Assertiveness. No correlations are found between years of experience and age on the one hand and emotional intelligence on the other hand. The results of this study show that nurses in psychiatric care indeed score above average in the emotional intelligence required to cope with the amount of emotional labour involved in daily mental health practice. The ascertained large range in emotional intelligence scores among the mental health nurses challenges us to investigate possible implications which higher or lower emotional intelligence levels may have on the quality of care. For instance, a possible relation between the level of emotional intelligence and the quality of the therapeutic nurse-patient relationship or the relation between the level of emotional intelligence and the manner of coping with situations characterised by a great amount of emotional labour (such as caring for patients who self-harm or are suicidal). © 2010 The Authors. Journal compilation © 2010 Blackwell Publishing Ltd.

A Self-Diagnostic System for the M6 Accelerometer

Science.gov (United States)

Flanagan, Patrick M.; Lekki, John

2001-01-01

The design of a Self-Diagnostic (SD) accelerometer system for the Space Shuttle Main Engine is presented. This retrofit system connects diagnostic electronic hardware and software to the current M6 accelerometer system. This paper discusses the general operation of the M6 accelerometer SD system and procedures for developing and evaluating the SD system. Signal processing techniques using M6 accelerometer diagnostic data are explained. Test results include diagnostic data responding to changing ambient temperature, mounting torque and base mounting impedance.

Emotional Intelligence, Self-Esteem and Academic Achievement: A Case Study, English Department Students

Directory of Open Access Journals (Sweden)

Wiwik Andreani

2012-04-01

Full Text Available This study examines the comparison between English Department students’ emotional intelligence (EQ, their self-esteem and their academic achievement. Twenty-two students participated in the research by answering EQ test and two Self-Esteem questionnaires. The result shows that there is no relation between students’ GPA and their self-esteem and EQ. This means that academic ability does not correspond to social skills. Though most students have average EQ and self-esteem, one student has High EQ, High Self-esteem and a 2.95 GPA (out of 4. 

The beam diagnostic instruments in Beijing radioactive ion-beam facilities isotope separator on-line

International Nuclear Information System (INIS)

Ma, Y.; Cui, B.; Ma, R.; Tang, B.; Chen, L.; Huang, Q.; Jiang, W.

2014-01-01

The beam diagnostic instruments for Beijing Radioactive Ion-beam Facilities Isotope Separator On-Line are introduced [B. Q. Cui, Z. H. Peng, Y. J. Ma, R. G. Ma, B. Tang, T. Zhang, and W. S. Jiang, Nucl. Instrum. Methods 266, 4113 (2008); T. J. Zhang, X. L. Guan, and B. Q. Cui, in Proceedings of APAC 2004, Gyeongju, Korea, 2004, http://www.jacow.org , p. 267]. For low intensity ion beam [30–300 keV/1 pA–10 μA], the beam profile monitor, the emittance measurement unit, and the analyzing slit will be installed. For the primary proton beam [100 MeV/200 μA], the beam profile scanner will be installed. For identification of the nuclide, a beam identification unit will be installed. The details of prototype of the beam diagnostic units and some experiment results will be described in this article

Academic Self-Efficacy, Emotional Intelligence, GPA and Academic Procrastination in Higher Education

OpenAIRE

Meirav Hen; Marina Goroshit

2014-01-01

Academic procrastination has been seen as an impediment to students' academic success because it decreases the quality and quantity of learning while increasing the severity of negative outcomes in students’ lives. Research findings suggest that academic procrastination is closely related to motivation variables such as self-efficacy and self-regulated learning, and with higher levels of anxiety, stress, and illness. Emotional Intelligence is the ability to assess, regulate, an...

Intelligence by consent

DEFF Research Database (Denmark)

Diderichsen, Adam; Rønn, Kira Vrist

2017-01-01

This article contributes to the current discussions concerning an adequate framework for intelligence ethics. The first part critically scrutinises the use of Just War Theory in intelligence ethics with specific focus on the just cause criterion. We argue that using self-defence as justifying cau...

Intelligent editor/printer enhancements

Science.gov (United States)

Woodfill, M. C.; Pheanis, D. C.

1983-01-01

Microprocessor support hardware, software, and cross assemblers relating to the Motorola 6800 and 6809 process systems were developed. Pinter controller and intelligent CRT development are discussed. The user's manual, design specifications for the MC6809 version of the intelligent printer controller card, and a 132-character by 64-line intelligent CRT display system using a Motorola 6809 MPU, and a one-line assembler and disassembler are provided.

Trait Emotional Intelligence and Academic Performance: Controlling for the Effects of IQ, Personality, and Self-Concept

Science.gov (United States)

Ferrando, Mercedes; Prieto, Maria Dolores; Almeida, Leandro S.; Ferrandiz, Carmen; Bermejo, Rosario; Lopez-Pina, Jose Antonio; Hernandez, Daniel; Sainz, Marta; Fernandez, Mari-Carmen

2011-01-01

This article analyses the relationship between trait emotional intelligence and academic performance, controlling for the effects of IQ, personality, and self-concept dimensions. A sample of 290 preadolescents (11-12 years old) took part in the study. The instruments used were (a) Trait Emotional Intelligence Questionnaire-Adolescents Short Form…

Přínos Self-service Business Intelligence v retailu

OpenAIRE

Chalas, Jan

2017-01-01

This bachelor thesis deals with the benefits of using Self-service Business Intelligence (SSBI) tools in retail. It compares SSBI with the traditional concept, in the context of current managers requirements and general trends in the implementation and use of enterprise information systems. Describes the fundamental differences in SSBI versus traditional solutions and draws attention to the benefits and disadvantages that arise.

Cyberbullying Victimization, Self-Esteem and Suicidal Ideation in Adolescence: Does Emotional Intelligence Play a Buffering Role?

Directory of Open Access Journals (Sweden)

Natalio Extremera

2018-03-01

Full Text Available Cyberbullying has been linked to social, physical and psychological problems for adolescent victims but there has been no analysis of the specific role of emotional intelligence in protecting against the negative symptoms associated with cyberbullying victimization. This study examined the interaction between cyberbullying victimization and emotional intelligence (EI as predictors of psychological maladjustment (operationalized as high suicidal ideation and low self-esteem in 1,660 Spanish adolescents. We also investigated whether levels of EI moderated the relationship between cyberbullying victimization and mental health problems. The cyberbullying victimization x EI interaction contributed to variance in suicidal ideation and self-esteem in our sample of adolescent victims. Adolescent victims of cyberbullying with high EI scores reported lower suicidal ideation and higher self-esteem than their less emotionally intelligent counterparts. Thus, our data provide empirical support for theoretical and conceptual work connecting victimization, EI abilities and mental health associated with cyberbullying. This suggests that alone, but also in combination, EI may be particularly relevant in leading to increased levels of mental health issues in cyberbullying victims. Finally, the theoretical implications of our findings on the relationship between these variables and the mental health issues of adolescent victims of cyberbullying are discussed.

Cyberbullying Victimization, Self-Esteem and Suicidal Ideation in Adolescence: Does Emotional Intelligence Play a Buffering Role?

Science.gov (United States)

Extremera, Natalio; Quintana-Orts, Cirenia; Mérida-López, Sergio; Rey, Lourdes

2018-01-01

Cyberbullying has been linked to social, physical and psychological problems for adolescent victims but there has been no analysis of the specific role of emotional intelligence in protecting against the negative symptoms associated with cyberbullying victimization. This study examined the interaction between cyberbullying victimization and emotional intelligence (EI) as predictors of psychological maladjustment (operationalized as high suicidal ideation and low self-esteem) in 1,660 Spanish adolescents. We also investigated whether levels of EI moderated the relationship between cyberbullying victimization and mental health problems. The cyberbullying victimization x EI interaction contributed to variance in suicidal ideation and self-esteem in our sample of adolescent victims. Adolescent victims of cyberbullying with high EI scores reported lower suicidal ideation and higher self-esteem than their less emotionally intelligent counterparts. Thus, our data provide empirical support for theoretical and conceptual work connecting victimization, EI abilities and mental health associated with cyberbullying. This suggests that alone, but also in combination, EI may be particularly relevant in leading to increased levels of mental health issues in cyberbullying victims. Finally, the theoretical implications of our findings on the relationship between these variables and the mental health issues of adolescent victims of cyberbullying are discussed. PMID:29623058

The relationship of Emotional Intelligence with Academic Intelligence and the Big Five

NARCIS (Netherlands)

Van der Zee, K.I.; Thijs, Melanie; Schakel, Lolle

The present study examines the relationship of self- and other ratings of emotional intelligence with academic intelligence and personality, as well as the incremental validity of emotional intelligence beyond academic intelligence and personality in predicting academic and social success. A sample

The relationship of emotional intelligence with academic intelligence and the Big Five

NARCIS (Netherlands)

van der Zee, K; Thijs, M; Schakel, L

2002-01-01

The present study examines the relationship of self- and other ratings of emotional intelligence with academic intelligence and personality, as well as the incremental validity of emotional intelligence beyond academic intelligence and personality in predicting academic and social success. A sample

Line and continuum spectroscopy as diagnostic tools for gamma ray bursts

International Nuclear Information System (INIS)

Liang, E.P.

1990-12-01

We review the theoretical framework of both line and continuum spectra formation in gamma ray bursts. These include the cyclotron features at 10's of keV, redshifted annihilation features at ∼400 keV, as well as other potentially detectable nuclear transition lines, atomic x-ray lines, proton cyclotron lines and plasma oscillation lines. By combining the parameters derived from line and continuum modeling we can try to reconstruct the location, geometry and physical conditions of the burst emission region, thereby constraining and discriminating the astrophysical models. Hence spectroscopy with current and future generations of detectors should provide powerful diagnostic tools for gamma ray bursters. 48 refs., 10 figs., 4 tabs

The Effects of Self-Regulatory Learning through Computer-Assisted Intelligent Tutoring System on the Improvement of EFL Learners' Speaking Ability

Science.gov (United States)

Mohammadzadeh, Ahmad; Sarkhosh, Mehdi

2018-01-01

The current study attempted to investigate the effects of self-regulatory learning through computer-assisted intelligent tutoring system on the improvement of speaking ability. The participants of the study, who spoke Azeri Turkish as their mother tongue, were students of Applied Linguistics at BA level at Pars Abad's Azad University, Ardebil,…

Self- and other-estimates of multiple abilities in Britain and Turkey: a cross-cultural comparison of subjective ratings of intelligence.

Science.gov (United States)

Furnham, Adrian; Arteche, Adriane; Chamorro-Premuzic, Tomas; Keser, Askin; Swami, Viren

2009-12-01

This study is part of a programmatic research effort into the determinants of self-assessed abilities. It examined cross-cultural differences in beliefs about intelligence and self- and other-estimated intelligence in two countries at extreme ends of the European continent. In all, 172 British and 272 Turkish students completed a three-part questionnaire where they estimated their parents', partners' and own multiple intelligences (Gardner (10) and Sternberg (3)). They also completed a measure of the 'big five' personality scales and rated six questions about intelligence. The British sample had more experience with IQ tests than the Turks. The majority of participants in both groups did not believe in sex differences in intelligence but did think there were race differences. They also believed that intelligence was primarily inherited. Participants rated their social and emotional intelligence highly (around one standard deviation above the norm). Results suggested that there were more cultural than sex differences in all the ratings, with various interactions mainly due to the British sample differentiating more between the sexes than the Turks. Males rated their overall, verbal, logical, spatial, creative and practical intelligence higher than females. Turks rated their musical, body-kinesthetic, interpersonal and intrapersonal intelligence as well as existential, naturalistic, emotional, creative, and practical intelligence higher than the British. There was evidence of participants rating their fathers' intelligence on most factors higher than their mothers'. Factor analysis of the ten Gardner intelligences yield two clear factors: cognitive and social intelligence. The first factor was impacted by sex but not culture; it was the other way round for the second factor. Regressions showed that five factors predicted overall estimates: sex (male), age (older), test experience (has done tests), extraversion (strong) and openness (strong). Results are discussed in

Evaluation of diagnostic efficiency of intelligence program for automatic diagnosis of circumferential profiles of myocardial short axial SPECT

International Nuclear Information System (INIS)

Bunko, Hisashi; Tada, Akira; Nakajima, Kenichi; Taki, Junichi; Kojima, Kazuhiko.

1984-01-01

Quantitative diagnosis using circumferential profile (CFP) is widely employed for Tl-201 myocardial imaging. However, its diagnostic efficiency is susceptible to the number and composition of the confirmed normal (CN) group. Intelligence program for CFP data file and automatic diagnosis (CAD), which was previously developed by us, was modified for creating universal data file (d-base) and evaluated its diagnostic efficiency for myocardial short axial images according to the number of CNs. CAD consists of following 3 major functions: (1) CFP data filing to d-base, (2) modification and correction of file data, and (3) automatic diagnosis of CFP. When function (1) or (2) is completed, new diagnostic criteria (mean-2 sd) are generated automatically using CN data in the d-base at that time. Because of this function, diagnostic criteria are changeable according to the number of CNs. Sensitivity (TP) and specificity (TN) of CAD program for Tl-201 7-pinhole images of 16 normals and 17 ischemic heart diseases (IHDs) were 100%, 44% (CN = 4), 88%, 94% (CN = 8 or 16) and 88%, 100% (CN = 12), respectively. Diagnostic efficiency reached plateau in more than 8 CNs. Although number of patients were limited (8 CNs and 6 IHDs), results of CAD for short axial SPECT showed consistent tendency with 7-pinhole images. In conclusion, intelligence program is necessary for automatic diagnosis using quantitative criteria under the clinical condition of daily increasing informations. Automatic diagnosis of CFP using CAD program is simple, effective and useful for interpretation of Tl-201 myocardial short axial images. CAD program is applicable to any quantitative distribution study using CFPs. (author)

Intelligent fault diagnosis of rolling bearing based on kernel neighborhood rough sets and statistical features

Energy Technology Data Exchange (ETDEWEB)

Zhu, Xiao Ran; Zhang, You Yun; Zhu, Yong Sheng [Xi' an Jiaotong Univ., Xi' an (China)

2012-09-15

Intelligent fault diagnosis benefits from efficient feature selection. Neighborhood rough sets are effective in feature selection. However, determining the neighborhood value accurately remains a challenge. The wrapper feature selection algorithm is designed by combining the kernel method and neighborhood rough sets to self-adaptively select sensitive features. The combination effectively solves the shortcomings in selecting the neighborhood value in the previous application process. The statistical features of time and frequency domains are used to describe the characteristic of the rolling bearing to make the intelligent fault diagnosis approach work. Three classification algorithms, namely, classification and regression tree (CART), commercial version 4.5 (C4.5), and radial basis function support vector machines (RBFSVM), are used to test UCI datasets and 10 fault datasets of rolling bearing. The results indicate that the diagnostic approach presented could effectively select the sensitive fault features and simultaneously identify the type and degree of the fault.

Intelligent fault diagnosis of rolling bearing based on kernel neighborhood rough sets and statistical features

International Nuclear Information System (INIS)

Zhu, Xiao Ran; Zhang, You Yun; Zhu, Yong Sheng

2012-01-01

Intelligent fault diagnosis benefits from efficient feature selection. Neighborhood rough sets are effective in feature selection. However, determining the neighborhood value accurately remains a challenge. The wrapper feature selection algorithm is designed by combining the kernel method and neighborhood rough sets to self-adaptively select sensitive features. The combination effectively solves the shortcomings in selecting the neighborhood value in the previous application process. The statistical features of time and frequency domains are used to describe the characteristic of the rolling bearing to make the intelligent fault diagnosis approach work. Three classification algorithms, namely, classification and regression tree (CART), commercial version 4.5 (C4.5), and radial basis function support vector machines (RBFSVM), are used to test UCI datasets and 10 fault datasets of rolling bearing. The results indicate that the diagnostic approach presented could effectively select the sensitive fault features and simultaneously identify the type and degree of the fault

Systematic review of dermoscopy and digital dermoscopy/ artificial intelligence for the diagnosis of melanoma.

Science.gov (United States)

Rajpara, S M; Botello, A P; Townend, J; Ormerod, A D

2009-09-01

Dermoscopy improves diagnostic accuracy of the unaided eye for melanoma, and digital dermoscopy with artificial intelligence or computer diagnosis has also been shown useful for the diagnosis of melanoma. At present there is no clear evidence regarding the diagnostic accuracy of dermoscopy compared with artificial intelligence. To evaluate the diagnostic accuracy of dermoscopy and digital dermoscopy/artificial intelligence for melanoma diagnosis and to compare the diagnostic accuracy of the different dermoscopic algorithms with each other and with digital dermoscopy/artificial intelligence for the detection of melanoma. A literature search on dermoscopy and digital dermoscopy/artificial intelligence for melanoma diagnosis was performed using several databases. Titles and abstracts of the retrieved articles were screened using a literature evaluation form. A quality assessment form was developed to assess the quality of the included studies. Heterogeneity among the studies was assessed. Pooled data were analysed using meta-analytical methods and comparisons between different algorithms were performed. Of 765 articles retrieved, 30 studies were eligible for meta-analysis. Pooled sensitivity for artificial intelligence was slightly higher than for dermoscopy (91% vs. 88%; P = 0.076). Pooled specificity for dermoscopy was significantly better than artificial intelligence (86% vs. 79%; P artificial intelligence, which were not significantly different (P = 0.783). There were no significance differences in diagnostic odds ratio among the different dermoscopic diagnostic algorithms. Dermoscopy and artificial intelligence performed equally well for diagnosis of melanocytic skin lesions. There was no significant difference in the diagnostic performance of various dermoscopy algorithms. The three-point checklist, the seven-point checklist and Menzies score had better diagnostic odds ratios than the others; however, these results need to be confirmed by a large-scale high

Proceedings of the 6th Computer Science On-line Conference 2017

CERN Document Server

Senkerik, Roman; Oplatkova, Zuzana; Prokopova, Zdenka; Silhavy, Petr

2017-01-01

This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms. This book constitutes the refereed proceedings of the Artificial Intelligence Trends in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017. .

Synergy between Software Product Line and Intelligent Pervasive Middleware-a PLIPerM Approach

DEFF Research Database (Denmark)

Zhang, Weishan

2008-01-01

with OWL ontology reasoning enhanced BDI (Belief-Desire-Intention) agents, which are the basic building blocks of PLIPerM. Besides the advantages of a software product line, our approachcan handle ontology evolution and keep all related assets in a consistent state. Other advantages include the ability...... to configure Jadex BDI agents for different purpose and to enhance agent intelligence by adding logic reasoning capabilities indirectly to agent beliefs....

Prediction of temperature-insensitive molecular absorption lines in laser-assisted combustion diagnostics

International Nuclear Information System (INIS)

Walewski, Joachim W.; Elmqvist, Anders

2005-01-01

In laser-assisted combustion diagnostics it is a recurring task to predict molecular transitions whose signal strength depends only weakly on variations in temperature. The signal strength is proportional to the Boltzmann fraction of the level probed and the amplitude of the absorption line profile. In the past investigations have been presented in which this task was attack by detailed numerical calculations of the temperature dependence of pertinent physical properties of the molecule. Another widely applied approach relies on an analytical formula for the Boltzmann fraction of hetero-nuclear diatomic molecules and the neglect of line shape effects. The analytical approach experiences a continuing popularity in laser-assisted combustion diagnostics, which is why we compared both approaches with each other. The objective of this comparison was to assess the accuracy of the analytical approach and to reveal its potential pitfalls. Our comparison revealed that the analytical approach suffers from mediocre accuracy, which makes it unfit for practical applications. One cause is the neglect of higher lying vibrational levels, which show a non-negligible population for typical flame temperatures. Another reason is the neglect of fine structure splitting in molecules with non-zero orbit angular momentum in the ground state. Another reason for the observed inaccuracy is the neglect of line shape effects quenching, which were found to have a significant effect on the temperature sensitivity of a line. Because of its insufficient accuracy due to both oversimplified models of the molecular energy levels and the neglect of line shape effects and quenching we discourage from applying the analytical approach and recommend the use of detailed numerical approaches that are free of the above limitations

Application of artificial intelligence to motor operated valve testing

International Nuclear Information System (INIS)

Bogard, T.; Bednar, F.; Matty, T.; Kent, R.

1989-01-01

Improper valve maintenance can be a significant roadblock to successful power plant operation. There have been events during which motor operated valves failed on demand due to improper switch settings. For nuclear electric generating stations, these events have led to regulatory requirements such as NRC Bulletin 85-03 and NRC Bulletin 89-10 Safety Related Motor Operated Valve Testing and Surveillance which imposes strict testing and programmatic requirements on motor operated valves (MOV). Part of the requirements include performing diagnostic testing to verify stem thrust loads and switch settings. Diagnostic equipment must be non-intrusive, minimize valve disassembly, and reduce plant refueling critical path time for testing. In this paper an on-line diagnostic system using sensors to measure stem forces, motor current, and valve position, and a portable system employing these same sensor inputs in addition to torque, limit and torque bypass switch inputs is described. Sophisticated graphic software is employed to display data or trace information. A rule based artificial intelligence (AI) system is used to analyze sensor outputs. Objectives for valve diagnostics, sample AI rules, results of actual field testing, and system software/hardware architecture are presented

Deciphering the Theobroma cacao self-incompatibility system: from genomics to diagnostic markers for self-compatibility.

Science.gov (United States)

Lanaud, Claire; Fouet, Olivier; Legavre, Thierry; Lopes, Uilson; Sounigo, Olivier; Eyango, Marie Claire; Mermaz, Benoit; Da Silva, Marcos Ramos; Loor Solorzano, Rey Gaston; Argout, Xavier; Gyapay, Gabor; Ebaiarrey, Herman Ebai; Colonges, Kelly; Sanier, Christine; Rivallan, Ronan; Mastin, Géraldine; Cryer, Nicholas; Boccara, Michel; Verdeil, Jean-Luc; Efombagn Mousseni, Ives Bruno; Peres Gramacho, Karina; Clément, Didier

2017-10-13

Cocoa self-compatibility is an important yield factor and has been described as being controlled by a late gameto-sporophytic system expressed only at the level of the embryo sac. It results in gametic non-fusion and involves several loci. In this work, we identified two loci, located on chromosomes 1 and 4 (CH1 and CH4), involved in cocoa self-incompatibility by two different processes. Both loci are responsible for gametic selection, but only one (the CH4 locus) is involved in the main fruit drop. The CH1 locus acts prior to the gamete fusion step and independently of the CH4 locus. Using fine-mapping and genome-wide association studies, we focused analyses on restricted regions and identified candidate genes. Some of them showed a differential expression between incompatible and compatible reactions. Immunolocalization experiments provided evidence of CH1 candidate genes expressed in ovule and style tissues. Highly polymorphic simple sequence repeat (SSR) diagnostic markers were designed in the CH4 region that had been identified by fine-mapping. They are characterized by a strong linkage disequilibrium with incompatibility alleles, thus allowing the development of efficient diagnostic markers predicting self-compatibility and fruit setting according to the presence of specific alleles or genotypes. SSR alleles specific to self-compatible Amelonado and Criollo varieties were also identified, thus allowing screening for self-compatible plants in cocoa populations. © The Author 2017. Published by Oxford University Press on behalf of the Society for Experimental Biology.

"Don't worry, it's just poker!"--experience, self-rumination and self-reflection as determinants of decision-making in on-line poker.

Science.gov (United States)

Palomäki, Jussi; Laakasuo, Michael; Salmela, Mikko

2013-09-01

On-line poker is a game of chance and skill. The construct of poker playing skill has both a technical (game strategy-related) and an emotional (emotion regulation-related) aspect. A correlational on-line study (N = 354) was conducted to assess differences in technical skills and emotional characteristics related to poker playing style between experienced and inexperienced poker players. Results suggest that, with respect to emotional characteristics, experienced poker players engage in less self-rumination and more self-reflection, as compared to inexperienced players. Experienced poker players are also able to make better decisions, by mathematical standards, in a poker decision-making environment, as assessed by two fictitious on-line poker decision-making scenarios. Furthermore, this study provides supportive evidence that experienced poker players conceptualize the construct of "luck" differently from inexperienced players. A new poker playing experience scale (PES) for accurately measuring poker playing experience is presented in this paper.

Line roughness improvements on self-aligned quadruple patterning by wafer stress engineering

Science.gov (United States)

Liu, Eric; Ko, Akiteru; Biolsi, Peter; Chae, Soo Doo; Hsieh, Chia-Yun; Kagaya, Munehito; Lee, Choongman; Moriya, Tsuyoshi; Tsujikawa, Shimpei; Suzuki, Yusuke; Okubo, Kazuya; Imai, Kiyotaka

2018-04-01

In integrated circuit and memory devices, size shrinkage has been the most effective method to reduce production cost and enable the steady increment of the number of transistors per unit area over the past few decades. In order to reduce the die size and feature size, it is necessary to minimize pattern formation in the advance node development. In the node of sub-10nm, extreme ultra violet lithography (EUV) and multi-patterning solutions based on 193nm immersionlithography are the two most common options to achieve the size requirement. In such small features of line and space pattern, line width roughness (LWR) and line edge roughness (LER) contribute significant amount of process variation that impacts both physical and electrical performances. In this paper, we focus on optimizing the line roughness performance by using wafer stress engineering on 30nm pitch line and space pattern. This pattern is generated by a self-aligned quadruple patterning (SAQP) technique for the potential application of fin formation. Our investigation starts by comparing film materials and stress levels in various processing steps and material selection on SAQP integration scheme. From the cross-matrix comparison, we are able to determine the best stack of film selection and stress combination in order to achieve the lowest line roughness performance while obtaining pattern validity after fin etch. This stack is also used to study the step-by-step line roughness performance from SAQP to fin etch. Finally, we will show a successful patterning of 30nm pitch line and space pattern SAQP scheme with 1nm line roughness performance.

Review the new system and its impact on intelligent buildings and ...

African Journals Online (AJOL)

Among the important trends in contemporary architecture, sustainable architecture is ... intelligent and self-healing materials in construction Buildings Hvshmnd.dr this paper, ... Keywords: nano-architecture, sustainable construction, intelligent ...

Self-help on-line: an outcome evaluation of breast cancer bulletin boards.

Science.gov (United States)

Lieberman, Morton A; Goldstein, Benjamin A

2005-11-01

Many breast cancer patients find help from on-line self-help groups, consisting of self-directed, asynchronous, bulletin boards. These have yet to be empirically evaluated. Upon joining a group and 6 months later, new members (N=114) to breast cancer bulletin boards completed measures of depression (CES-D), growth (PTGI) and psychosocial wellbeing (FACT-B). Improvement was statistically significant on all three measures. This serves as a first validation of Internet bulletin boards as a source of support and help for breast cancer patients. These boards are of particular interest because they are free, accessible and support comes from peers and not from professional facilitators.

Investigation of the Effectiveness of Emotional Intelligence Training on the Self-esteem and Mental Health in Boy Deaf Students

OpenAIRE

Mohammad A'shouri; Seyyedeh Somayyeh Jalil-Abkenar; Ma'soumeh Pourmohammadreza-Tajrishi

2014-01-01

Objective: The purpose of the present research was to investigation of the effectiveness of emotional intelligence training on the self-esteem of deaf students in Tehran province. Materials & Methods: The present research was an experimental study by pre-test, post-test design with control group. The study population included of boys deaf students from secondary schools (2ed grade) in Tehran province. Subjects were selected randomly by cluster sampling method. In this study were participa...

A new beam emission polarimetry diagnostic for measuring the magnetic field line angle at the plasma edge of ASDEX Upgrade.

Science.gov (United States)

Viezzer, E; Dux, R; Dunne, M G

2016-11-01

A new edge beam emission polarimetry diagnostic dedicated to the measurement of the magnetic field line angle has been installed on the ASDEX Upgrade tokamak. The new diagnostic relies on the motional Stark effect and is based on the simultaneous measurement of the polarization direction of the linearly polarized π (parallel to the electric field) and σ (perpendicular to the electric field) lines of the Balmer line D α . The technical properties of the system are described. The calibration procedures are discussed and first measurements are presented.

Low-cost and high-speed optical mark reader based on an intelligent line camera

Science.gov (United States)

Hussmann, Stephan; Chan, Leona; Fung, Celine; Albrecht, Martin

2003-08-01

Optical Mark Recognition (OMR) is thoroughly reliable and highly efficient provided that high standards are maintained at both the planning and implementation stages. It is necessary to ensure that OMR forms are designed with due attention to data integrity checks, the best use is made of features built into the OMR, used data integrity is checked before the data is processed and data is validated before it is processed. This paper describes the design and implementation of an OMR prototype system for marking multiple-choice tests automatically. Parameter testing is carried out before the platform and the multiple-choice answer sheet has been designed. Position recognition and position verification methods have been developed and implemented in an intelligent line scan camera. The position recognition process is implemented into a Field Programmable Gate Array (FPGA), whereas the verification process is implemented into a micro-controller. The verified results are then sent to the Graphical User Interface (GUI) for answers checking and statistical analysis. At the end of the paper the proposed OMR system will be compared with commercially available system on the market.

Associations between emotional intelligence, depression and suicide risk in nursing students.

Science.gov (United States)

Aradilla-Herrero, Amor; Tomás-Sábado, Joaquín; Gómez-Benito, Juana

2014-04-01

The most important factor which predisposes young people to suicide is depression, although protective factors such as self-esteem, emotional adaptation and social support may reduce the probability of suicidal ideation and suicide attempts. Several studies have indicated an elevated risk of suicide for health-related professions. Little is known, however, about the relationship between perceived emotional intelligence and suicide risk among nursing students. The main goals were to determine the prevalence of suicide risk in a sample of nursing students, to examine the relationship between suicide risk and perceived emotional intelligence, depression, trait anxiety and self-esteem, and to identify any gender differences in relation to these variables. Cross-sectional study of nursing students (n=93) who completed self-report measures of perceived emotional intelligence (Trait Meta-Mood Scale, which evaluates three dimensions: emotional attention, clarity and repair), suicide risk (Plutchik Suicide Risk Scale), self-esteem (Rosenberg Self-esteem Scale), depression (Zung Self-Rating Depression Scale) and anxiety (Trait scale of the State-Trait Anxiety Inventory). Linear regression analysis confirmed that depression and emotional attention are significant predictors of suicidal ideation. Moreover, suicide risk showed a significant negative association with self-esteem and with emotional clarity and repair. Gender differences were only observed in relation to depression, on which women scored significantly higher. Overall, 14% of the students were considered to present a substantial suicide risk. The findings suggest that interventions to prevent suicidal ideation among nursing students should include strategies to detect mood disorders (especially depression) and to improve emotional coping skills. In line with previous research the results indicate that high scores on emotional attention are linked to heightened emotional susceptibility and an increased risk of

On Emotional Intelligence: A Conversation with Daniel Goleman.

Science.gov (United States)

O'Neil, John

1996-01-01

Emotional intelligence involves a cluster of skills, including self-control, zeal, persistence, and self-motivation. Every child must be taught the essentials of handling anger, managing conflicts, developing empathy, and controlling impulses. Schools must help children recognize and manage their emotions. Educators should model emotional…

Syndrome Diagnosis: Human Intuition or Machine Intelligence?

Science.gov (United States)

Braaten, Øivind; Friestad, Johannes

2008-01-01

The aim of this study was to investigate whether artificial intelligence methods can represent objective methods that are essential in syndrome diagnosis. Most syndromes have no external criterion standard of diagnosis. The predictive value of a clinical sign used in diagnosis is dependent on the prior probability of the syndrome diagnosis. Clinicians often misjudge the probabilities involved. Syndromology needs objective methods to ensure diagnostic consistency, and take prior probabilities into account. We applied two basic artificial intelligence methods to a database of machine-generated patients - a ‘vector method’ and a set method. As reference methods we ran an ID3 algorithm, a cluster analysis and a naive Bayes’ calculation on the same patient series. The overall diagnostic error rate for the the vector algorithm was 0.93%, and for the ID3 0.97%. For the clinical signs found by the set method, the predictive values varied between 0.71 and 1.0. The artificial intelligence methods that we used, proved simple, robust and powerful, and represent objective diagnostic methods. PMID:19415142

What is the relationship between emotional intelligence and dental student clinical performance?

Science.gov (United States)

Victoroff, Kristin Zakariasen; Boyatzis, Richard E

2013-04-01

Emotional intelligence has emerged as a key factor in differentiating average from outstanding performers in managerial and leadership positions across multiple business settings, but relatively few studies have examined the role of emotional intelligence in the health care professions. The purpose of this study was to examine the relationship between emotional intelligence (EI) and dental student clinical performance. All third- and fourth-year students at a single U.S. dental school were invited to participate. Participation rate was 74 percent (100/136). Dental students' EI was assessed using the Emotional Competence Inventory-University version (ECI-U), a seventy-two-item, 360-degree questionnaire completed by both self and other raters. The ECI-U measured twenty-two EI competencies grouped into four clusters (Self-Awareness, Self-Management, Social Awareness, and Relationship Management). Clinical performance was assessed using the mean grade assigned by clinical preceptors. This grade represents an overall assessment of a student's clinical performance including diagnostic and treatment planning skills, time utilization, preparation and organization, fundamental knowledge, technical skills, self-evaluation, professionalism, and patient management. Additional variables were didactic grade point average (GPA) in Years 1 and 2, preclinical GPA in Years 1 and 2, Dental Admission Test academic average and Perceptual Ability Test scores, year of study, age, and gender. Multiple linear regression analyses were conducted. The Self-Management cluster of competencies (b=0.448, pintelligence may be an important predictor of clinical performance, which has important implications for students' development during dental school.

Intelligent neural network diagnostic system

International Nuclear Information System (INIS)

Mohamed, A.H.

2010-01-01

Recently, artificial neural network (ANN) has made a significant mark in the domain of diagnostic applications. Neural networks are used to implement complex non-linear mappings (functions) using simple elementary units interrelated through connections with adaptive weights. The performance of the ANN is mainly depending on their topology structure and weights. Some systems have been developed using genetic algorithm (GA) to optimize the topology of the ANN. But, they suffer from some limitations. They are : (1) The computation time requires for training the ANN several time reaching for the average weight required, (2) Slowness of GA for optimization process and (3) Fitness noise appeared in the optimization of ANN. This research suggests new issues to overcome these limitations for finding optimal neural network architectures to learn particular problems. This proposed methodology is used to develop a diagnostic neural network system. It has been applied for a 600 MW turbo-generator as a case of real complex systems. The proposed system has proved its significant performance compared to two common methods used in the diagnostic applications.

Self-referencing Mach-Zehnder interferometer as a laser system diagnostic: Active and adaptive optical systems

International Nuclear Information System (INIS)

Feldman, M.; Mockler, D.J.; English, R.E. Jr.; Byrd, J.L.; Salmon, J.T.

1991-01-01

We are incorporating a novel self-referencing Mach-Zehnder interferometer into a large scale laser system as a real time, interactive diagnostic tool for wavefront measurement. The instrument is capable of absolute wavefront measurements accurate to better than λ/10 pv over a wavelength range > 300 nm without readjustment of the optical components. This performance is achieved through the design of both refractive optics and catadioptric collimator to achromatize the Mach-Zehnder reference arm. Other features include polarization insensitivity through the use of low angles of incidence on all beamsplitters as well as an equal path length configuration that allows measurement of either broad-band or closely spaced laser-line sources. Instrument accuracy is periodically monitored in place by means of a thermally and mechanically stable wavefront reference source that is calibrated off-line with a phase conjugate interferometer. Video interferograms are analyzed using Fourier transform techniques on a computer that includes dedicated array processor. Computer and video networks maintain distributed interferometers under the control of a single analysis computer with multiple user access. 7 refs., 11 figs

Cyberbullying Victimization, Self-Esteem and Suicidal Ideation in Adolescence: Does Emotional Intelligence Play a Buffering Role?

OpenAIRE

Natalio Extremera; Cirenia Quintana-Orts; Sergio Mérida-López; Lourdes Rey

2018-01-01

Cyberbullying has been linked to social, physical and psychological problems for adolescent victims but there has been no analysis of the specific role of emotional intelligence in protecting against the negative symptoms associated with cyberbullying victimization. This study examined the interaction between cyberbullying victimization and emotional intelligence (EI) as predictors of psychological maladjustment (operationalized as high suicidal ideation and low self-esteem) in 1,660 Spanish ...

Development of an Accident Diagnostic Scheme Using Artificial Intelligence Techniques (I)

Energy Technology Data Exchange (ETDEWEB)

Na, M. G.; Lee, S. H.; Kim, D. S.; No, Y. G.; Lee, S. W. [Chosun University, Gwangju (Korea, Republic of); Ahn, K. I. [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

2010-06-15

As a means to effectively manage the severe nuclear accidents, it is important to identify and diagnose the accident initiating events during an initial short time interval after the accidents by observing the major controlling parameters. Main objective of this study is to develop the diagnostic approach for the accurate prediction of accident initiating events using artificial intelligence techniques. For this, first, a variety of artificial intelligence techniques such as Finn, Gmbh, and Sm were examined through this study. Among them, Sc and Gmbh model were assessed as a useful approach to predict the break location and the break size of Local. In order to verify the proposed algorithm, the 111 accident simulation data (based on Map) were applied to train the Sc and Gmbh models, and the test data was used to independently verify whether or not the SVC and GMDH models work well. The analysis of the maximum errors and RMS errors, and the performance of the GMDH according to the existence of measurement errors and SIS actuation showed that the proposed SVC and GMDH models can accurately classify the break locations and accurately predict the break size. As the time-integrated signals were used for inputs into the GMDH model within a period of 60 second after a reactor scram, the actuation of the safety systems such as safety injection system (SIS), auxiliary feed water system, and containment spray system, were not considered in this study. It is because the initial 60 second time-integrated signals were used and the safety systems usually start to actuate after a more than 60 second time delay after the reactor scram

Development of an Accident Diagnostic Scheme Using Artificial Intelligence Techniques (I)

International Nuclear Information System (INIS)

Na, M. G.; Lee, S. H.; Kim, D. S.; No, Y. G.; Lee, S. W.; Ahn, K. I.

2010-06-01

As a means to effectively manage the severe nuclear accidents, it is important to identify and diagnose the accident initiating events during an initial short time interval after the accidents by observing the major controlling parameters. Main objective of this study is to develop the diagnostic approach for the accurate prediction of accident initiating events using artificial intelligence techniques. For this, first, a variety of artificial intelligence techniques such as Finn, Gmbh, and Sm were examined through this study. Among them, Sc and Gmbh model were assessed as a useful approach to predict the break location and the break size of Local. In order to verify the proposed algorithm, the 111 accident simulation data (based on Map) were applied to train the Sc and Gmbh models, and the test data was used to independently verify whether or not the SVC and GMDH models work well. The analysis of the maximum errors and RMS errors, and the performance of the GMDH according to the existence of measurement errors and SIS actuation showed that the proposed SVC and GMDH models can accurately classify the break locations and accurately predict the break size. As the time-integrated signals were used for inputs into the GMDH model within a period of 60 second after a reactor scram, the actuation of the safety systems such as safety injection system (SIS), auxiliary feed water system, and containment spray system, were not considered in this study. It is because the initial 60 second time-integrated signals were used and the safety systems usually start to actuate after a more than 60 second time delay after the reactor scram

On-line Configuration of Network Emulator for Intelligent Energy System Testbed Applications

DEFF Research Database (Denmark)

Kemal, Mohammed Seifu; Iov, Florin; Olsen, Rasmus Løvenstein

2015-01-01

Intelligent energy networks (or Smart Grids) provide efficient solutions for a grid integrated with near-real-time communication technologies between various grid assets in power generation, transmission and distribution systems. The design of a communication network associated with intelligent...... power system involves detailed analysis of its communication requirements, a proposal of the appropriate protocol architecture, the choice of appropriate communication technologies for each case study, and a means to support heterogeneous communication technology management system. This paper discuses...

Intelligent data-acquisition instrumentation for special nuclear material assay data analysis

International Nuclear Information System (INIS)

Ethridge, C.D.

1980-01-01

The Detection, Surveillance, Verification, and Recovery Group of the Los Alamos Scientific Laboratory Energy Division/Nuclear Safeguards Programs is now utilizing intelligent data-acquisition instrumentation for assay data analysis of special nuclear material. The data acquisition and analysis are enabled by the incorporation of a number-crunching microprocessor sequenced by a single component microcomputer. Microcomputer firmware establishes the capability for processing the computation of several selected functions and also the ability of instrumentation self-diagnostics

Who Are the Children Most Vulnerable to Social Exclusion? The Moderating Role of Self-Esteem, Popularity, and Nonverbal Intelligence on Cognitive Performance Following Social Exclusion.

Science.gov (United States)

Tobia, Valentina; Riva, Paolo; Caprin, Claudia

2017-05-01

Social exclusion has a profound emotional impact on children. However, there is still limited and partly conflicting experimental evidence for the possible effect of social exclusion on children's cognitive performance. In the present study, we tested the possibility that some children are more vulnerable than others to the negative effects of social exclusion on cognitive performance. We selected 4 potential candidates that could moderate the effects of social exclusion: relational self-esteem, peer ratings of popularity, rejection sensitivity and nonverbal intelligence. Individual differences in these 4 potential moderating factors were first assessed in a sample of 318 children (45.6 % females; mean age = 9.92 years). Then, in a subsequent experimental session, the participants were either socially included or excluded using a typical manipulation (i.e., the Cyberball paradigm). Following the manipulation, the children's cognitive performance was assessed using a logical reasoning test. The results showed that the children with lower scores for relational self-esteem (the bottom 37.46 % of the sample), lower popularity (43.49 %) or weaker nonverbal intelligence (37.80 %) performed worse on the logical reasoning test following social exclusion. Moreover, children with combined low self-esteem, popularity and nonverbal intelligence were the most affected by social exclusion. This study identified factors that make some children more vulnerable to the negative effects of social exclusion. Overall, the present work underscores the value of considering basic cognitive and relational individual differences when developing interventions aimed at preventing the negative effects of social exclusion among children.

Beam diagnostics and data acquisition system for ion beam transport line used in applied research

International Nuclear Information System (INIS)

Skuratov, V.A.; Didyk, A.Yu.; Arkhipov, A.V.; Illes, A.; Bodnar, K.; Illes, Z.; Havancsak, K.

1999-01-01

Ion beam transport line for applied research on U-400 cyclotron, beam diagnostics and data acquisition system for condensed matter studies are described. The main features of Windows-based real time program are considered

Third Conference on Artificial Intelligence for Space Applications, part 1

Science.gov (United States)

Denton, Judith S. (Compiler); Freeman, Michael S. (Compiler); Vereen, Mary (Compiler)

1987-01-01

The application of artificial intelligence to spacecraft and aerospace systems is discussed. Expert systems, robotics, space station automation, fault diagnostics, parallel processing, knowledge representation, scheduling, man-machine interfaces and neural nets are among the topics discussed.

Emotional Intelligence, Self-Esteem, and Academic Achievement: a Case Study of English Department Students, Binus University

OpenAIRE

Andreani, Wiwik

2013-01-01

This study examines the comparison between English Department students’ emotional intelligence (EQ), their self-esteem and their academic achievement. Twenty-two students participated in the research by answering EQ test and two Self-Esteem questionnaires. The result shows that there is no relation between students’ GPA and their self-esteem and EQ. This means that academic ability does not correspond to social skills. Though most students have average EQ and self-esteem, one student has High...

Effectiveness of artificial intelligence methods in applications to burning optimization and coal mills diagnostics on the basis of IASE's experiences in Turow Power Plant

Energy Technology Data Exchange (ETDEWEB)

Pollak, J.; Wozniak, A.W.; Dynia, Z.; Lipanowicz, T.

2004-07-01

Modern methods referred to as 'artificial intelligence' have been applied to combustion optimization and implementation of selected diagnostic functions for the milling system of a pulverized lignite-fired boiler. The results of combustion optimization have shown significant improvement of efficiency and reduction of NO, emission. Fuzzy logic has been used to develop, among other things, a fan mill overload detection system.

Real time water chemistry monitoring and diagnostics

International Nuclear Information System (INIS)

Gaudreau, T.M.; Choi, S.S.

2002-01-01

EPRI has produced a real time water chemistry monitoring and diagnostic system. This system is called SMART ChemWorks and is based on the EPRI ChemWorks codes. System models, chemistry parameter relationships and diagnostic approaches from these codes are integrated with real time data collection, an intelligence engine and Internet technologies to allow for automated analysis of system chemistry. Significant data management capabilities are also included which allow the user to evaluate data and create automated reporting. Additional features have been added to the system in recent years including tracking and evaluation of primary chemistry as well as the calculation and tracking of primary to secondary leakage in PWRs. This system performs virtual sensing, identifies normal and upset conditions, and evaluates the consistency of on-line monitor and grab sample readings. The system also makes use of virtual fingerprinting to identify the cause of any chemistry upsets. This technology employs plant-specific data and models to determine the chemical state of the steam cycle. (authors)

Evaluation of self-absorption coefficients of aluminum emission lines in laser-induced breakdown spectroscopy measurements

International Nuclear Information System (INIS)

El Sherbini, A.M.; El Sherbini, Th.M.; Hegazy, H.; Cristoforetti, G.; Legnaioli, S.; Palleschi, V.; Pardini, L.; Salvetti, A.; Tognoni, E.

2005-01-01

In quantitative Laser Induced Breakdown Spectroscopy (LIBS) measurements it is essential to account for the effect of self-absorption on the emission lines intensity. In order to quantify this effect, in this paper we propose a simple method for evaluating the ratio between the actual measured line intensity and the intensity expected in absence of self-absorption and, if necessary, correcting the effect of self-absorption on line intensity. The method, based on a homogeneous plasma model, is applicable when the plasma electron density is known and in particular to lines whose Stark broadening parameter is available

The Relationship between Multiple Intelligences and Listening Self-Efficacy among Iranian EFL Learners

Science.gov (United States)

Davoudi, Mohammad; Chavosh, Milad

2016-01-01

The present paper aimed at investigating the relationship between listening self-efficacy and multiple intelligences of Iranian EFL learners. Initially, ninety intermediate male learners were selected randomly from among 20 intermediate classes in a Language Academy in Yazd. In order to assure the homogeneity of the participants in terms of…

A Hierarchical Bayesian Model to Predict Self-Thinning Line for Chinese Fir in Southern China.

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Xiongqing Zhang

Full Text Available Self-thinning is a dynamic equilibrium between forest growth and mortality at full site occupancy. Parameters of the self-thinning lines are often confounded by differences across various stand and site conditions. For overcoming the problem of hierarchical and repeated measures, we used hierarchical Bayesian method to estimate the self-thinning line. The results showed that the self-thinning line for Chinese fir (Cunninghamia lanceolata (Lamb.Hook. plantations was not sensitive to the initial planting density. The uncertainty of model predictions was mostly due to within-subject variability. The simulation precision of hierarchical Bayesian method was better than that of stochastic frontier function (SFF. Hierarchical Bayesian method provided a reasonable explanation of the impact of other variables (site quality, soil type, aspect, etc. on self-thinning line, which gave us the posterior distribution of parameters of self-thinning line. The research of self-thinning relationship could be benefit from the use of hierarchical Bayesian method.

Report on the Validation of the Emotionally Intelligent Leadership for Students Inventory

Science.gov (United States)

Miguel, Rosanna F.; Allen, Scott J.

2016-01-01

The present study was designed to examine the measurement of the Emotionally Intelligent Leadership (EIL) construct and to provide evidence of validation for the multidimensional Emotionally Intelligence Leadership for Students: Inventory 2.0 (EILS:I 2.0). The EILS:I 2.0 is a self-report assessment of emotionally intelligent leadership in the…

Terawatt power division and combination using self-magnetically insulated transmission lines

International Nuclear Information System (INIS)

Crow, J.T.; Peterson, G.D.

1980-01-01

Self-magnetically insulated transmission lines are necessary for the efficient transport of the terawatt pulses used in electron and ion accelerators. For some applications it is desirable to divide one transmission line into two, or to combine outputs of two or more lines into one, by means of self-magnetically insulated convolutes. Tests have been made on a coaxial-to-triaxial convolute in which connections between negative inner and outer lines are made by pins passing through holes in the intermediate positive conductor. Measurements in the 2 MV, 400 kA, 40 ns pulse Mite facility indicate virtually 100% current transport through the convolute and the ability to vary the division of current between the inner and outer lines of the triax by choice of inner line impedance. These measurements, and results obtained with this convolute connected to the ion diode for which it was designed, will be presented

Metacognitive experience of mathematics education students in open start problem solving based on intrapersonal intelligence

Science.gov (United States)

Sari, D. P.; Usodo, B.; Subanti, S.

2018-04-01

This research aims to describe metacognitive experience of mathematics education students with strong, average, and weak intrapersonal intelligence in open start problem solving. Type of this research was qualitative research. The research subject was mathematics education students in Muhammadiyah University of Surakarta in academic year 2017/2018. The selected students consisted of 6 students with details of two students in each intrapersonal intelligence category. The research instruments were questionnaire, open start problem solving task, and interview guidelines. Data validity used time triangulation. Data analyses were done through data collection, data reduction, data presentation, and drawing conclusion. Based on findings, subjects with strong intrapersonal intelligence had high self confidence that they were able to solve problem correctly, able to do planning steps and able to solve the problem appropriately. Subjects with average intrapersonal intelligence had high self-assessment that they were able to solve the problem, able to do planning steps appropriately but they had not maximized in carrying out the plan so that it resulted incorrectness answer. Subjects with weak intrapersonal intelligence had high self confidence in capability of solving math problem, lack of precision in taking plans so their task results incorrectness answer.

Further development of NPP surveillance and diagnostic systems by use of intelligent technologies

International Nuclear Information System (INIS)

Wach, D.; Ding, Y.

1998-01-01

Recent development work at ISTec/GRS has been directed to more automation of surveillance techniques by utilization of the technological progress and existing tools. Neural nets, fuzzy techniques and rule-based methods were investigated for application in feature classification and automated identification of anomalies. First applications were aimed at classification of useful patterns and suppression of non-relevant signal components in order to avoid false alarms (e.g. in acoustic monitoring) and at signal validation under normal and disturbed plant conditions. Other on-going projects are aimed at the application of the successful methods to other surveillance tasks such as on-line assessment of sensor behaviour and ageing phenomena of instrumentation. The paper gives an insight in the intelligent analysis techniques and highlights their potential use for other surveillance tasks in nuclear power plants. (author)

The Intention to Quit Smoking: The Impact of Susceptibility, Self-Efficacy, Social Norms and Emotional Intelligence Embedded Model

Science.gov (United States)

Rahman, Muhammad Sabbir; Mannan, Mahafuz; Rahman, Mohammad Mahboob

2018-01-01

Purpose: From the perspective of developing countries, studies regarding the behavioral effects of quitting tobacco consumption on emerging psychological determinants are limited. The purpose of this paper is to examine the influence of emotional intelligence (EI), social norms, susceptibility and self-efficacy on the behavioral effects of…

Validation of the Schutte Self-Report Emotional Intelligence Scale with American College Students

Science.gov (United States)

Gong, Xiaopeng; Paulson, Sharon E.

2018-01-01

The current study examined the factor structure of the Schutte Self-Report Emotional Intelligence (SSREI) scale with an American college sample (n = 404, 322 females, 88.9% Whites). Data were collected through an online survey, and confirmatory factor analyses were conducted to test several proposed factor models from previous studies. The results…

Emotional Intelligence, Self-Esteem, and Academic Achievement: A Case Study of English Department Students, Binus University

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Wiwik Andreani

2013-10-01

Full Text Available This study examines the comparison between English Department students’ emotional intelligence (EQ, their self-esteem and their academic achievement. Twenty-two students participated in the research by answering EQ test and two Self-Esteem questionnaires. The result shows that there is no relation between students’ GPA and their self-esteem and EQ. This means that academic ability does not correspond to social skills. Though most students have average EQ and self-esteem, one student has High EQ, High Self-esteem and a 2.95 GPA (out of 4.  

A survey of mindset theories of intelligence and medical error self-reporting among pediatric housestaff and faculty.

Science.gov (United States)

Jegathesan, Mithila; Vitberg, Yaffa M; Pusic, Martin V

2016-02-11

Intelligence theory research has illustrated that people hold either "fixed" (intelligence is immutable) or "growth" (intelligence can be improved) mindsets and that these views may affect how people learn throughout their lifetime. Little is known about the mindsets of physicians, and how mindset may affect their lifetime learning and integration of feedback. Our objective was to determine if pediatric physicians are of the "fixed" or "growth" mindset and whether individual mindset affects perception of medical error reporting.  We sent an anonymous electronic survey to pediatric residents and attending pediatricians at a tertiary care pediatric hospital. Respondents completed the "Theories of Intelligence Inventory" which classifies individuals on a 6-point scale ranging from 1 (Fixed Mindset) to 6 (Growth Mindset). Subsequent questions collected data on respondents' recall of medical errors by self or others. We received 176/349 responses (50 %). Participants were equally distributed between mindsets with 84 (49 %) classified as "fixed" and 86 (51 %) as "growth". Residents, fellows and attendings did not differ in terms of mindset. Mindset did not correlate with the small number of reported medical errors. There is no dominant theory of intelligence (mindset) amongst pediatric physicians. The distribution is similar to that seen in the general population. Mindset did not correlate with error reports.

Relationship Between Big Five Personality Traits, Emotional Intelligence and Self-esteem Among College Students

OpenAIRE

Fauzia Nazir, AnamAzam, Muhammad Rafiq, Sobia Nazir, Sophia Nazir, ShaziaTasleem

2015-01-01

The current research study was on the “Relationship between Big Five Personality Traits & Emotional Intelligence and Self-esteem among the College Students”. This work is based on cross sectional survey research design. The convenience sample was used by including 170 female Students studying at government college kotla Arab Ali khan Gujrat, Pakistan, degree program of 3rd year and 4th year. The study variables were measured using Big Five Inventory Scale by Goldberg (1993), Emotional Intell...

Computerized systems for on-line management of failures: a state-of-the-art discussion of alarm systems and diagnostic systems applied in the nuclear industry

International Nuclear Information System (INIS)

Kim, I.S.

1994-01-01

It is now well perceived in the nuclear industry that improving plant information systems is vital for enhancing the operational safety of nuclear power plants. Considerable work is underway worldwide to support operators' decision-making, particularly in their difficult tasks of managing process anomalies on-line. The work includes development of (1) advanced alarm systems, such as various kinds of computer-based alarm processing systems, Critical Function Monitoring System, Success Path Monitoring System and Safety Assessment System II, and (2) real-timer diagnostic systems, such as Disturbance Analysis System, Maryland Operator Advisory System II, Model-Integrated Diagnostic Analysis System, Diagnosis System using Knowledge Engineering Technique, Detailed Diagnosis, and Operator Advisor System. This paper presents a state-of-the-art review of plant information systems for on-line management of failures in nuclear power plants, focusing on the methodological features of computerized alarm systems and diagnostic systems. (author)

Perceived emotional intelligence, general intelligence and early professional success: predictive and incremental validity

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José-Manuel de Haro

2014-05-01

Full Text Available Although the study of factors affecting career success has shown connections between biographical and other aspects related to ability, knowledge and personality, few studies have examined the relationship between emotional intelligence and professional success at the initial career stage. When these studies were carried out, the results showed significant relationships between the dimensions of emotional intelligence (emotional self-awareness, self-regulation, social awareness or social skills and the level of professional competence. In this paper, we analyze the relationship between perceived emotional intelligence, measured by the Trait Meta-Mood Scale (TMMS-24 questionnaire, general intelligence assessed by the Cattell factor "g" test, scale 3, and extrinsic indicators of career success, in a sample of 130 graduates at the beginning of their careers. Results from hierarchical regression analysis indicate that emotional intelligence makes a specific contribution to the prediction of salary, after controlling the general intelligence effect. The perceived emotional intelligence dimensions of TMMS repair, TMMS attention and sex show a higher correlation and make a greater contribution to professional success than general intelligence. The implications of these results for the development of socio-emotional skills among University graduates are discussed.

Effect of Instruction in Emotional Intelligence Skills on Locus of Control and Academic Self-Efficacy among Junior Secondary School Students in Niger State, Nigeria

Science.gov (United States)

Umaru, Yunusa; Umma, Abdulwahid

2015-01-01

This study investigated the effect of instruction in emotional intelligence Skills on locus of control and academic self-efficacy among junior secondary school students in Niger state, Nigeria. This study employed a quasi-experimental, non-equivalent control group, pre-test - post-test design. The population of this study was 105,034 secondary…

Impact of Emotional Intelligence on Academic Achievement and Leadership

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Beena Johnson

2016-10-01

Full Text Available Emotional intelligence is the ability to perceive, appraise and control one's emotions. It is the ability to motivate oneself even in stressful situations, to control impulsive behaviour and to manage feelings in perfect way. Emotional intelligence can be considered as a set of skills which contribute to the proper assessment and regulation of emotions, and the utilization of feelings for best achievement in academics, profession and life. Emotional Intelligence is an important predictor of success in life and has significant role in stress management and academic achievement. Students who are high academic performers, usually have higher emotional intelligence scores compared with children with scholastic backwardness. Individuals with high emotional intelligence will correctly understand emotional issues, manage stressful situations successfully and regulate emotions in the best way. They are balanced, empathetic, self-aware and sociable. They have very strong will-power and are intrinsically motivated. Emotional intelligence is also a crucial factor needed for successful leadership. It has significant role in academic and organizational success.

Examining the interrelationships among students' personological characteristics, attitudes toward the Unified Modeling Language, self-efficacy, and multiple intelligences with respect to student achievement in a software design methods course

Science.gov (United States)

Stewart-Iles, Gail Marie

The purpose of this study was to investigate the interrelationships among student's demographics, attitudes toward the Unified Modeling Language (UML), general self-efficacy, and multiple intelligence (MI) profiles, and the use of UML to develop software. The dependent measures were course grades and course project scores. The study was grounded in problem solving theory, self-efficacy theory, and multiple intelligence theory. The sample was an intact class of 18 students who took the junior-level Software Design Methods course, CSE 3421, at Florida Institute of Technology in the Spring 2008 semester. The course incorporated instruction in UML with Java. Attitudes were measured by a researcher-modified instrument derived from the Computer Laboratory Survey by Newby and Fisher, and self-efficacy was measured by the Generalized Self-Efficacy Scale developed by Schwarzer and Jerusalem. MI profiles, which were the proportion of Gardner's eight intelligences, were determined from Shearer's Multiple Intelligence Developmental Assessment Scales. Results from a hierarchical multiple regression analysis showed that only the collective set of MI profiles was significant, but none of the individual intelligences were significant. The study's findings supported what one would expect to find relative to problem solving theory, but were contradictory to self-efficacy theory. The findings also supported Gardner's concept that multiple intelligences must be considered as an integral unit and the importance of not focusing on an individual intelligence. The findings imply that self-efficacy is not a major consideration for a software design methods class that requires a transition to problem solving strategy and suggest that the instructor was instrumental in fostering positive attitudes toward UML. Recommendations for practice include (1) teachers should not be concerned with focusing on a single intelligence simply because they believe one intelligence might be more aligned to a

Intelligent tuning method of PID parameters based on iterative learning control for atomic force microscopy.

Science.gov (United States)

Liu, Hui; Li, Yingzi; Zhang, Yingxu; Chen, Yifu; Song, Zihang; Wang, Zhenyu; Zhang, Suoxin; Qian, Jianqiang

2018-01-01

Proportional-integral-derivative (PID) parameters play a vital role in the imaging process of an atomic force microscope (AFM). Traditional parameter tuning methods require a lot of manpower and it is difficult to set PID parameters in unattended working environments. In this manuscript, an intelligent tuning method of PID parameters based on iterative learning control is proposed to self-adjust PID parameters of the AFM according to the sample topography. This method gets enough information about the output signals of PID controller and tracking error, which will be used to calculate the proper PID parameters, by repeated line scanning until convergence before normal scanning to learn the topography. Subsequently, the appropriate PID parameters are obtained by fitting method and then applied to the normal scanning process. The feasibility of the method is demonstrated by the convergence analysis. Simulations and experimental results indicate that the proposed method can intelligently tune PID parameters of the AFM for imaging different topographies and thus achieve good tracking performance. Copyright © 2017 Elsevier Ltd. All rights reserved.

The Reliability and Validity of the Panic Disorder Self-Report: A New Diagnostic Screening Measure of Panic Disorder

Science.gov (United States)

Newman, Michelle G.; Holmes, Marilyn; Zuellig, Andrea R.; Kachin, Kevin E.; Behar, Evelyn

2006-01-01

This study examined the Panic Disorder Self-Report (PDSR), a new self-report diagnostic measure of panic disorder based on the 4th edition of the Diagnostic and Statistical Manual of Mental Disorders (American Psychiatric Association, 1994). PDSR diagnoses were compared with structured interview diagnoses of individuals with generalized anxiety…

Load Forecasting with Artificial Intelligence on Big Data

OpenAIRE

Glauner, Patrick; State, Radu

2016-01-01

In the domain of electrical power grids, there is a particular interest in time series analysis using artificial intelligence. Machine learning is the branch of artificial intelligence giving computers the ability to learn patterns from data without being explicitly programmed. Deep Learning is a set of cutting-edge machine learning algorithms that are inspired by how the human brain works. It allows to self-learn feature hierarchies from the data rather than modeling hand-crafted features. I...

Simulation and off-line programming at Sandia`s Intelligent Systems and Robotics Center

Energy Technology Data Exchange (ETDEWEB)

Xavier, P.G.; Fahrenholtz, J.C.; McDonald, M. [Sandia National Labs., Albuquerque, NM (United States). Intelligent Systems and Robotics Center] [and others

1997-11-01

One role of the Intelligent Robotics and System Center (ISRC) at Sandia National Laboratories is to address certain aspects of Sandia`s mission to design, manufacture, maintain, and dismantle nuclear weapon components. Hazardous materials, devices, and environments are often involved. Because of shrinking resources, these tasks must be accomplished with a minimum of prototyping, while maintaining high reliability. In this paper, the authors describe simulation, off-line programming/planning, and related tools which are in use, under development, and being researched to solve these problems at the ISRC.

Intelligent distributed control for nuclear power plants

International Nuclear Information System (INIS)

Klevans, E.H.

1993-01-01

This project was initiated in September 1989 as a three year project to develop and demonstrate Intelligent Distributed Control (IDC) for Nuclear Power Plants. There were two primary goals of this research project. The first goal was to combine diagnostics and control to achieve a highly automated power plant as described by M.A. Schultz. The second goal was to apply this research to develop a prototype demonstration on an actual power plant system, the EBR-2 steam plant. Described in this Final (Third Annual) Technical Progress Report is the accomplishment of the project's final milestone, an in-plant intelligent control experiment conducted on April 1, 1993. The development of the experiment included: simulation validation, experiment formulation and final programming, procedure development and approval, and experimental results. Other third year developments summarized in this report are: (1) a theoretical foundation for Reconfigurable Hybrid Supervisory Control, (2) a steam plant diagnostic system, (3) control console design tools and (4) other advanced and intelligent control

Impact of emotional intelligence on teacher׳s performance in higher education institutions of Pakistan

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Muhammad Asrar-ul-Haq

2017-12-01

Full Text Available This research paper aims at investigating the impact of emotional intelligence on teacher׳s job performance in the education sector of Pakistan. Sample size consists of 166 teachers from universities in the area of central Punjab, Pakistan. Theories of emotional intelligence proposed by Salovey and Mayer (1989–1990 were used as the conceptual framework and its relationship with the job performance of teachers was examined. Reliability and validity of variables was tested through measurement model of PLS-SEM. The result indicated that emotional intelligence has a significant impact on the teacher׳s job performance. Key research finding revealed that emotional self-awareness, self-confidence, achievement, developing others and conflict management have a positive and significant relationship with the teacher׳s job performance. Keywords: Emotional intelligence, Performance, Teachers, Pakistan

Piezo-sensor self-diagnostics using electrical impedance measurements.

Energy Technology Data Exchange (ETDEWEB)

Park, G. H. (Gyu Hae); Farrar, C. R. (Charles R.); Rutherford, A. C. (Amanda C.); Robertson, A. N. (Amy N.)

2004-01-01

This paper present the piezoelectric sensor self-diagnostic procedure that performs in-situ monitoring of the operational status of piezoelectric materials (PZT) used for sensors and actuators in structural health monitoring (SHM) applications. The use of active-sensing piezoelectric materials has received considerable attention in the SHM community. A critical aspect of the piezoelectric active-sensing technologies is that usually large numbers of distributed sensors and actuators are needed to perform the required monitoring process. The sensor/actuator self-diagnostic procedure, where the sensors/actuators are confirmed to be functioning properly during operation, is therefore a critical component to successfully complete the SHM process and to minimize the false indication regarding the structural health. The basis of this procedure is to track the changes in the capacitive value of piezoelectric materials resulting from the sensor failure, which is manifested in the imaginary part of the measured electrical admittances. Furthermore, through the analytical and experimental investigation, it is confirmed that the bonding layer between the PZT and a host structure significantly contributes to the measured capacitive values. Therefore, by monitoring the imaginary part of the admittances, one can quantitatively assess the degradation of the mechanical/electrical properties of the PZT and its attachment to a host structure. This paper concludes with an experimental example to demonstrate the feasibility of the proposed sensor-diagnostic procedure.

Self-organization scenario acting as physical basis of intelligent complex systems created in laboratory

International Nuclear Information System (INIS)

Lozneanu, Erzilia; Sanduloviciu, Mircea

2006-01-01

The recognition of limits in the tendency to miniaturize the so-called self-organizing devices inspired scientists to seek inspiration from living organisms that operate with functional elements that employ thermal energy exploiting quantum phenomena. Here we show how such operations are performed by a complex space charge configuration emerged by self-organization in plasma. Endowed with a special kind of memory, the complexity is able to ensure its survival in a metastable state performing the operations 'learned' during its emergence by self-organization. Possessing memory, the complexity works as an intelligent system able to evolve under suitable environmental conditions

Integration of artificial intelligence systems for nuclear power plants surveillance and diagnostics

International Nuclear Information System (INIS)

Chetry, Moon K.

2012-01-01

The objective of this program is to design, construct operate, test, and evaluate a prototype integrated monitoring and diagnostic system for a nuclear power plant. It is anticipated that this technology will have wide application to other complex systems (e.g., fossil power plants, chemical processing plants, and possibly air traffic control systems). Over the past decade, the University of Tennessee (UT) and others have carried out many projects utilizing various methodologies of artificial intelligence (expert systems, neural networks, fuzzy systems and genetic algorithms) to enhance the performance (safety, efficiency, reliability, and availability) of nuclear power plants. Investigations and studies have included a) instrumentation surveillance and calibration validation, b) inferential sensing to calibration of feed water venture flow during fouling, c) thermodynamic performance modeling with iterative improvement of plant heat rate, d) diagnosis of nuclear power plant transients

Processing semblances induced through inter-postsynaptic functional LINKs, presumed biological parallels of K-lines proposed for building artificial intelligence

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Kunjumon I Vadakkan

2011-07-01

Full Text Available The internal sensation of memory, which is available only to the owner of an individual nervous system, is difficult to analyze for its basic elements of operation. We hypothesize that associative learning induces the formation of functional LINK between the postsynapses. During memory retrieval, the activation of either postsynapse re-activates the functional LINK evoking a semblance of sensory activity arriving at its opposite postsynapse, nature of which defines the basic unit of virtual internal sensation - namely, semblion. Neuronal networks that undergo continuous oscillatory activity at certain levels of their organization induce semblions enabling the system to continuously learn, self-organize, and demonstrate instantiation, features that can be utilized for developing artificial intelligence (AI. Suitability of the inter-postsynaptic functional LINKs to meet the expectations of Minsky’s K-lines, basic elements of a memory theory generated to develop AI and methods to replicate semblances outside the nervous system are explained.

Processing Semblances Induced through Inter-Postsynaptic Functional LINKs, Presumed Biological Parallels of K-Lines Proposed for Building Artificial Intelligence

Science.gov (United States)

Vadakkan, Kunjumon I.

2011-01-01

The internal sensation of memory, which is available only to the owner of an individual nervous system, is difficult to analyze for its basic elements of operation. We hypothesize that associative learning induces the formation of functional LINK between the postsynapses. During memory retrieval, the activation of either postsynapse re-activates the functional LINK evoking a semblance of sensory activity arriving at its opposite postsynapse, nature of which defines the basic unit of internal sensation – namely, the semblion. In neuronal networks that undergo continuous oscillatory activity at certain levels of their organization re-activation of functional LINKs is expected to induce semblions, enabling the system to continuously learn, self-organize, and demonstrate instantiation, features that can be utilized for developing artificial intelligence (AI). This paper also explains suitability of the inter-postsynaptic functional LINKs to meet the expectations of Minsky’s K-lines, basic elements of a memory theory generated to develop AI and methods to replicate semblances outside the nervous system. PMID:21845180

Emotional intelligence and emotions associated with optimal and dysfunctional athletic performance.

Science.gov (United States)

Lane, Andrew M; Devonport, Tracey J; Soos, Istvan; Karsai, Istvan; Leibinger, Eva; Hamar, Pal

2010-01-01

This study investigated relationships between self-report measures of emotional intelligence and memories of pre-competitive emotions before optimal and dysfunctional athletic performance. Participant-athletes (n = 284) completed a self-report measure of emotional intelligence and two measures of pre-competitive emotions; a) emotions experienced before an optimal performance, and b) emotions experienced before a dysfunctional performance. Consistent with theoretical predictions, repeated MANOVA results demonstrated pleasant emotions associated with optimal performance and unpleasant emotions associated with dysfunctional performance. Emotional intelligence correlated with pleasant emotions in both performances with individuals reporting low scores on the self-report emotional intelligence scale appearing to experience intense unpleasant emotions before dysfunctional performance. We suggest that future research should investigate relationships between emotional intelligence and emotion-regulation strategies used by athletes. Key pointsAthletes reporting high scores of self-report emotional intelligence tend to experience pleasant emotions.Optimal performance is associated with pleasant emotions and dysfunctional performance is associated with unpleasant emotions.Emotional intelligence might help athletes recognize which emotional states help performance.

Resilience and Emotional Intelligence: which role in achievement motivation

Directory of Open Access Journals (Sweden)

Paola Magnano

2016-01-01

Full Text Available In the framework of Positive Organizational Behavior, the construct of Psychological Capital identifies four psychological capacities that affect motivation and performance in the workplace: self-efficacy, hope, optimism and resilience. Emotional Intelligence, then, addresses self-regulatory processes of emotions and motivation that enable people to make adjustments to achieve individual, group, and organizational goals; Emotional Intelligence is strongly correlated with individual advancement and success in an organizational setting and with individual performance. Moreover, Emotional Intelligence is considered an antecedent to resilience. The present study aims to investigate the role of resilience and emotional intelligence in achievement motivation, verifying if emotional intelligence mediates the relationship among resilience and achievement motivation. Participants are 488 Italian workers, aged between 18 and 55 years. The findings confirm the significant role played by emotional intelligence on resilience and on motivation to achievement.

Reliability of self-reported diagnostic radiation history in BRCA1/2 mutation carriers

International Nuclear Information System (INIS)

Pijpe, Anouk; Manders, Peggy; Mulder, Renee L.; Leeuwen, Flora E. van; Rookus, Matti A.

2010-01-01

We assessed reliability of self-reported diagnostic radiation history in BRCA1/2 mutation carriers with and without breast cancer. Within the frame-work of the HEBON study, 401 BRCA1/2 mutation carriers completed a baseline (1999-2004) and a follow-up questionnaire (2006-2007). Test-retest reliability of self-reported exposure to chest X-rays, fluoroscopies and mammograms was assessed for the entire study population and by case status. Overall proportion agreement on reporting ever/never exposure was good (> 75%), while the corresponding kappa coefficients were between 0.40 and 0.75, indicating at least moderate reliability beyond chance. Reliability of number of exposures was also good (> 75%). Proportion agreement on reporting age at first mammogram was low (40%) for exact consistency and moderate (60%) for consistency ± 1 year. Reliability of age at first mammogram was higher for cases than for unaffected carriers (P < 0.001) but this difference disappeared when excluding diagnostic mammograms (P = 0.60). In unaffected carriers proportion agreement on age at last mammogram was 50%. In general, the direction of disagreement on all items was equally distributed. More consistent reporting was mainly determined by a younger age at questionnaire completion. In conclusion, inconsistent self-report of diagnostic radiation by BRCA1/2 mutation carriers was mainly non-differential by disease status.

Intelligent PID controller based on ant system algorithm and fuzzy inference and its application to bionic artificial leg

Institute of Scientific and Technical Information of China (English)

谭冠政; 曾庆冬; 李文斌

2004-01-01

A designing method of intelligent proportional-integral-derivative(PID) controllers was proposed based on the ant system algorithm and fuzzy inference. This kind of controller is called Fuzzy-ant system PID controller. It consists of an off-line part and an on-line part. In the off-line part, for a given control system with a PID controller,by taking the overshoot, setting time and steady-state error of the system unit step response as the performance indexes and by using the ant system algorithm, a group of optimal PID parameters K*p , Ti* and T*d can be obtained, which are used as the initial values for the on-line tuning of PID parameters. In the on-line part, based on Kp* , Ti*and Td* and according to the current system error e and its time derivative, a specific program is written, which is used to optimize and adjust the PID parameters on-line through a fuzzy inference mechanism to ensure that the system response has optimal transient and steady-state performance. This kind of intelligent PID controller can be used to control the motor of the intelligent bionic artificial leg designed by the authors. The result of computer simulation experiment shows that the controller has less overshoot and shorter setting time.

Emotional intelligence and the Occupational Personality Questionnaire (OPQ).

Science.gov (United States)

Furnham, Adrian; Race, Mary-Clare; Rosen, Adrienne

2014-01-01

This study explores the relationship between the Bar-on EQ-I and the Occupational Personality Questionnaire OPQ32i to determine if there is a link between self- and other-reported Emotional Intelligence and personality traits. Data was obtained from 329 managers working in the IT and Finance sectors and included multi-source (360°) measures of Emotional Intelligence. Results indicated construct overlap and correlations between some elements of Emotional Intelligence and the OPQ32i with a stronger relationship between 360 measures of Emotional Intelligence and personality. On both the self-report measure of EQ-I and the 360 measure the mood scale showed a strongest link with personality factors. Measures of Emotional Intelligence which include a 360 component may thus provide a more useful indicator of an individual's ability to manage their own feelings and those of others.

To curve or not to curve? The effect of college science grading policies on implicit theories of intelligence, perceived classroom goal structures, and self-efficacy

Science.gov (United States)

Haley, James M.

There is currently a shortage of students graduating with STEM (science, technology, engineering, or mathematics) degrees, particularly women and students of color. Approximately half of students who begin a STEM major eventually switch out. Many switchers cite the competitiveness, grading curves, and weed-out culture of introductory STEM classes as reasons for the switch. Variables known to influence resilience include a student's implicit theory of intelligence and achievement goal orientation. Incremental theory (belief that intelligence is malleable) and mastery goals (pursuit of increased competence) are more adaptive in challenging classroom contexts. This dissertation investigates the role that college science grading policies and messages about the importance of effort play in shaping both implicit theories and achievement goal orientation. College students (N = 425) were randomly assigned to read one of three grading scenarios: (1) a "mastery" scenario, which used criterion-referenced grading, permitted tests to be retaken, and included a strong effort message; (2) a "norm" scenario, which used norm-referenced grading (grading on the curve); or (3) an "effort" scenario, which combined a strong effort message with the norm-referenced policies. The dependent variables included implicit theories of intelligence, perceived classroom goal structure, and self-efficacy. A different sample of students (N = 15) were randomly assigned a scenario to read, asked to verbalize their thoughts, and responded to questions in a semi-structured interview. Results showed that students reading the mastery scenario were more likely to endorse an incremental theory of intelligence, perceived greater mastery goal structure, and had higher self-efficacy. The effort message had no effect on self-efficacy, implicit theory, and most of the goal structure measures. The interviews revealed that it was the retake policy in the mastery scenario and the competitive atmosphere in the norm

A Study of Spiritual Intelligence of the Pre-Service Teachers at the Secondary Stage in Relation to Self Esteem and Emotional Maturity

Science.gov (United States)

Vibha, Keerti

2011-01-01

The study was conducted on a sample of 500 B.Ed. teacher trainees from School of Education, Lovely Professional University, Phagwara. Spiritual Intelligence and its dimensions of Transcendence, Interconnectedness, Expansion of Self, Extrasensory Perception and Existential Enquiry were taken up as dependent variables and whereas Self Esteem and…

A Study of the Effectiveness of Group Spiritual Intelligence Training on Self-Efficacy and Social Responsibility of Secondary School Girls in Shahrekord

OpenAIRE

Katayoun Safa Chaleshtari; Tayebe Sharifi; Mohammad Ghasemi Pirbalooti

2017-01-01

Background: The purpose of this study was to investigate the effectiveness of group spiritual intelligence training on self-efficacy and social responsibility of high school secondary school students in Shahrekord. Methods: The parallel intervention research method was used in this study. The statistical population included all female secondary school students in Shahrekord during the academic year 1393 - 1394. Random cluster sampling was used to select the samples. Then, schools were rand...

Improving Emotional Intelligence and Emotional Self-Efficacy through a Teaching Intervention for University Students

Science.gov (United States)

Pool, Lorraine Dacre; Qualter, Pamela

2012-01-01

Emotional intelligence continues to receive a substantial amount of attention from researchers who argue that it is an important predictor of health, wellbeing and in particular, work-related outcomes. Emotional self-efficacy, which is concerned with beliefs in one's emotional functioning capabilities, has recently been shown to be important in…

Fast and sensitive medical diagnostic protocol based on integrating circular current lines for magnetic washing and optical detection of fluorescent magnetic nanobeads

Directory of Open Access Journals (Sweden)

Jaiyam Sharma

2016-07-01

Full Text Available Magnetic nanoparticles (MNPs are increasingly being used as ‘magnetic labels’ in medical diagnostics. Practical applications of MNPs necessitate reducing their non-specific interactions with sensor surfaces that result in noise in measurements. Here we describe the design and implementation of a sensing platform that incorporates circular shaped current lines that reduce non-specific binding by enabling the “magnetic washing” of loosely attached MNPs attached to the senor surface. Generating magnetic fields by passing electrical currents through the circular shaped current lines enabled the capture and collection of fluorescent MNPs that was more efficient and effective than straight current lines reported to-date. The use of fluorescent MNPs allows their optical detection rather than with widely used magnetoresistive sensors. As a result our approach is not affected by magnetic noise due to the flow of currents. Our design is expected to improve the speed, accuracy, and sensitivity of MNPs based medical diagnostics. Keywords: Biosensors, Magnetic beads, Fluorescent magnetic nanoparticles, Lab on chip, Point of care testing

Predictors of effective leadership in industry - should engineering education focus on traditional intelligence, personality, or emotional intelligence?

Science.gov (United States)

Lappalainen, Pia

2015-03-01

Despite the changing global and industrial conditions requiring new approaches to leadership, management training as part of higher engineering education still remains understudied. The subsequent gap in engineering education calls for research on today's leader requirements and pedagogy supporting the inclusion of management competence in higher engineering education. Previous organisation and management studies have, on a general level, established the importance of managerial qualities for industrial performance, but the nature and make-up of these qualifications has not been adequately analysed. To fill the related research gap, the present work embarked on a quantitative empirical effort to identify predictors of successful leadership in engineering. In particular, this study investigated relationships between perceived leader performance and three dimensions of managerial capability: (1) mathematical-logical intelligence, (2) personality, and (3) socio-emotional intelligence. This work complemented previous research by resorting to both self-reports and other-reports: the results acquired from the managerial sample were compared to subordinate perceptions as measured through an emotive intelligence other-report and a general managerial competence multi-source appraisal. The sample comprised 80 superiors and 354 subordinates operating in seven organisations in engineering industries. The results from the quantitative measurements signalled the strongest correlation for socio-emotional intelligence and certain personality dimensions with successful leadership. Mathematical-logical intelligence demonstrated no correlation with subordinate perceptions of good leadership. These findings lay the foundation for the incorporation of socio-emotive skills into higher engineering education.

Intelligent type sodium level gauge and its graduation calibration facility

International Nuclear Information System (INIS)

Chen Daolong; Wang Xuan; Li Xinying; Sun Huiqing; Zhu Jie

1998-04-01

The component construction and their performances of the intelligent type sodium level gauge newly-developed and its graduation calibration facility are presented. They can be operated in the temperature limit 100∼550 degree C. Its graduation characteristic calibration test is described. The temperature effect is analyzed. The graduation characteristic equation using the medium temperature as the parameter is given. The calibration errors are analyzed. The measurement system using this sodium level gauge is presented. The tests show that the intelligent type sodium level gauge possesses good linearity. The accurate sodium level measurement data can be obtained by means of its on-line compensation function of the temperature effect. Moreover, it possesses the self-inspection, the electric shutoff protection, the setting of full-scale, the thermocouple breaking alarm, the two upper limits and two lower limits alarms, the standard analog output signal and the digital output signal. Therefore, it is applicable particularly to the instrument, control and protection systems of LMFBR. The basic error of this intelligent type sodium level gauge is +-1.9% of measuring range

Chemistry monitoring and diagnostic system at NPP Jaslovske Bohunice

International Nuclear Information System (INIS)

Smiesko, Ivan; Figedy, Stefan

2012-09-01

This paper provides a description of water chemistry monitoring and diagnostic system installed at Slovak NPP Jaslovske Bohunice. System has complex architecture and covers laboratory data, chemistry and radiochemistry on-line monitoring data, process data acquisition and processing and diagnostics. Pre-filtered data from process computer and chemistry on-line monitors are recorded together with laboratory data in the ORACLE-based information system CHEMIS with many presentation and processing features. Brief information is given about the basic features of a newly developed diagnostic system for early detection and identification of anomalies incoming in the water chemistry regime of the primary and secondary circuit of VVER-440 type unit. This system, called SACHER (System of Analysis of Chemical Regime) has been installed within the major modernization project at the NPP Bohunice in the Slovak Republic. System SACHER has been developed fully in MATLAB environment. Diagnostic system works exclusively with available on-line data as an operation personnel support application allowing effective response to adverse chemistry events/trends. The availability of prompt information about the chemical conditions of the primary and secondary circuit is very important in order to prevent the undue corrosion and deposit build-up processes within the plant systems. The typical chemical information systems that exist and work at the NPPs give the user values of the measured quantities together with their time trends and other derived values. It is then the experienced user's role to recognize the situation the monitored process is in and make the subsequent decisions and take the measures. The SACHER system, based on the computational intelligence techniques, inserts the elements of intelligence into the overall chemical information system. It has the modular structure with the following most important modules: - normality module- its aim is to recognize that the process

Associations between trait emotional intelligence and loneliness in Chinese undergraduate students: mediating effects of self-esteem and social support.

Science.gov (United States)

Zou, Jilin

2014-06-01

Prior studies indicate that trait emotional intelligence (EI) is associated negatively with loneliness. However, the mechanisms underlying the relationship are not clear. This study assessed whether both self-esteem and social support mediated the associations between trait EI and loneliness. 469 Chinese undergraduate participants whose age ranged from 18 to 23 years (208 women) were asked to complete four self-report questionnaires, including the Wong Law Emotional Intelligence Scale, the Social and Emotional Loneliness Scale, the Rosenberg Self-esteem Scale, and the Multi-Dimensional Scale of Perceived Social Support. Analyses indicated that self-esteem and social support fully mediated the associations between trait EI and loneliness. Effect contrasts indicated that the specific indirect effect through social support was significantly greater than that through self-esteem. Moreover, a multiple-group analysis indicated that no path differed significantly by sex. These results suggest that social support is more important than self-esteem in the association between trait EI and loneliness. Furthermore, both sexes appear to share the same mechanism underlying this association.

Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review.

Science.gov (United States)

Dande, Payal; Samant, Purva

2018-01-01

Tuberculosis [TB] has afflicted numerous nations in the world. As per a report by the World Health Organization [WHO], an estimated 1.4 million TB deaths in 2015 and an additional 0.4 million deaths resulting from TB disease among people living with HIV, were observed. Most of the TB deaths can be prevented if it is detected at an early stage. The existing processes of diagnosis like blood tests or sputum tests are not only tedious but also take a long time for analysis and cannot differentiate between different drug resistant stages of TB. The need to find newer prompt methods for disease detection has been aided by the latest Artificial Intelligence [AI] tools. Artificial Neural Network [ANN] is one of the important tools that is being used widely in diagnosis and evaluation of medical conditions. This review aims at providing brief introduction to various AI tools that are used in TB detection and gives a detailed description about the utilization of ANN as an efficient diagnostic technique. The paper also provides a critical assessment of ANN and the existing techniques for their diagnosis of TB. Researchers and Practitioners in the field are looking forward to use ANN and other upcoming AI tools such as Fuzzy-logic, genetic algorithms and artificial intelligence simulation as a promising current and future technology tools towards tackling the global menace of Tuberculosis. Latest advancements in the diagnostic field include the combined use of ANN with various other AI tools like the Fuzzy-logic, which has led to an increase in the efficacy and specificity of the diagnostic techniques. Copyright © 2017 Elsevier Ltd. All rights reserved.

Leadership Competencies among Chinese Gifted Students in Hong Kong: "The Connection with Emotional Intelligence and Successful Intelligence"

Science.gov (United States)

Chan, David W.

2007-01-01

This study examined components of leadership competencies in relation to emotional intelligence and successful intelligence among 498 Chinese gifted students in Hong Kong. These students rated themselves significantly higher on goal orientation than leadership flexibility, which was also rated significantly higher than leadership self-efficacy.…

Estimating self, parental, and partner multiple intelligences: a replication in Malaysia.

Science.gov (United States)

Swami, Viren; Furnham, Adrian; Kannan, Kumaraswami

2006-12-01

Participants were 230 adult Malaysians who estimated their own, their parents', and their partners' overall IQs and 10 multiple intelligences. In accordance with both the previous literature and the authors' hypotheses, men rated themselves higher than did women on overall, verbal, logical-mathematical, and spatial intelligences. There were fewer gender differences in ratings of parents and in those of partners. Participants believed that they were more intelligent than both parents (but not their partners) and that their fathers were more intelligent than their mothers. Regressions indicated that participants believed that verbal intelligence and--to a lesser extent--logical-mathematical intelligence were the main predictors of overall intelligence. The authors discussed results in terms of the extant cross-cultural literature in the field.

Speech Intelligibility

Science.gov (United States)

Brand, Thomas

Speech intelligibility (SI) is important for different fields of research, engineering and diagnostics in order to quantify very different phenomena like the quality of recordings, communication and playback devices, the reverberation of auditoria, characteristics of hearing impairment, benefit using hearing aids or combinations of these things.

Diagnostic tools used in the calibration and verification of protein crystallography synchrotron beam lines and apparatus

International Nuclear Information System (INIS)

Rotella, F.J.; Alkire, R.W.; Duke, N.E.C.; Molitsky, M.J.

2011-01-01

Diagnostic tools have been developed for use at the Structural Biology Center beam lines at the Advanced Photon Source. These tools are used in the calibration and operating verification of these synchrotron X-ray beam lines and constituent equipment.

Reflection on robotic intelligence

NARCIS (Netherlands)

Bartneck, C.

2006-01-01

This paper reflects on the development or robots, both their physical shape as well as their intelligence. The later strongly depends on the progress made in the artificial intelligence (AI) community which does not yet provide the models and tools necessary to create intelligent robots. It is time

Self Diagnostic Accelerometer Testing on the C-17 Aircraft

Science.gov (United States)

Tokars, Roger P.; Lekki, John D.

2013-01-01

The self diagnostic accelerometer (SDA) developed by the NASA Glenn Research Center was tested for the first time in an aircraft engine environment as part of the Vehicle Integrated Propulsion Research (VIPR) program. The VIPR program includes testing multiple critical flight sensor technologies. One such sensor, the accelerometer, measures vibrations to detect faults in the engine. In order to rely upon the accelerometer, the health of the accelerometer must be ensured. The SDA is a sensor system designed to actively determine the accelerometer structural health and attachment condition, in addition to vibration measurements. The SDA uses a signal conditioning unit that sends an electrical chirp to the accelerometer and recognizes changes in the response due to changes in the accelerometer health and attachment condition. To demonstrate the SDAs flight worthiness and robustness, multiple SDAs were mounted and tested on a C-17 aircraft engine. The engine test conditions varied from engine off, to idle, to maximum power. The SDA attachment conditions were varied from fully tight to loose. The newly developed SDA health algorithm described herein uses cross correlation pattern recognition to discriminate a healthy from a faulty SDA. The VIPR test results demonstrate for the first.

SDSS-IV MaNGA: the impact of diffuse ionized gas on emission-line ratios, interpretation of diagnostic diagrams and gas metallicity measurements

Science.gov (United States)

Zhang, Kai; Yan, Renbin; Bundy, Kevin; Bershady, Matthew; Haffner, L. Matthew; Walterbos, René; Maiolino, Roberto; Tremonti, Christy; Thomas, Daniel; Drory, Niv; Jones, Amy; Belfiore, Francesco; Sánchez, Sebastian F.; Diamond-Stanic, Aleksandar M.; Bizyaev, Dmitry; Nitschelm, Christian; Andrews, Brett; Brinkmann, Jon; Brownstein, Joel R.; Cheung, Edmond; Li, Cheng; Law, David R.; Roman Lopes, Alexandre; Oravetz, Daniel; Pan, Kaike; Storchi Bergmann, Thaisa; Simmons, Audrey

2017-04-01

Diffuse ionized gas (DIG) is prevalent in star-forming galaxies. Using a sample of 365 nearly face-on star-forming galaxies observed by Mapping Nearby Galaxies at APO, we demonstrate how DIG in star-forming galaxies impacts the measurements of emission-line ratios, hence the interpretation of diagnostic diagrams and gas-phase metallicity measurements. At fixed metallicity, DIG-dominated low ΣHα regions display enhanced [S II]/Hα, [N II]/Hα, [O II]/Hβ and [O I]/Hα. The gradients in these line ratios are determined by metallicity gradients and ΣHα. In line ratio diagnostic diagrams, contamination by DIG moves H II regions towards composite or low-ionization nuclear emission-line region (LI(N)ER)-like regions. A harder ionizing spectrum is needed to explain DIG line ratios. Leaky H II region models can only shift line ratios slightly relative to H II region models, and thus fail to explain the composite/LI(N)ER line ratios displayed by DIG. Our result favours ionization by evolved stars as a major ionization source for DIG with LI(N)ER-like emission. DIG can significantly bias the measurement of gas metallicity and metallicity gradients derived using strong-line methods. Metallicities derived using N2O2 are optimal because they exhibit the smallest bias and error. Using O3N2, R23, N2 = [N II]/Hα and N2S2Hα to derive metallicities introduces bias in the derived metallicity gradients as large as the gradient itself. The strong-line method of Blanc et al. (IZI hereafter) cannot be applied to DIG to get an accurate metallicity because it currently contains only H II region models that fail to describe the DIG.

Intelligent Machine Vision for Automated Fence Intruder Detection Using Self-organizing Map

OpenAIRE

Veldin A. Talorete Jr.; Sherwin A Guirnaldo

2017-01-01

This paper presents an intelligent machine vision for automated fence intruder detection. A series of still captured images that contain fence events using Internet Protocol cameras was used as input data to the system. Two classifiers were used; the first is to classify human posture and the second one will classify intruder location. The system classifiers were implemented using Self-Organizing Map after the implementation of several image segmentation processes. The human posture classifie...

Dust-Tolerant Intelligent Electrical Connection System

Science.gov (United States)

Lewis, Mark; Dokos, Adam; Perotti, Jose; Calle, Carlos; Mueller, Robert; Bastin, Gary; Carlson, Jeffrey; Townsend, Ivan, III; Immer, Chirstopher; Medelius, Pedro

2012-01-01

Faults in wiring systems are a serious concern for the aerospace and aeronautic (commercial, military, and civilian) industries. Circuit failures and vehicle accidents have occurred and have been attributed to faulty wiring created by open and/or short circuits. Often, such circuit failures occur due to vibration during vehicle launch or operation. Therefore, developing non-intrusive fault-tolerant techniques is necessary to detect circuit faults and automatically route signals through alternate recovery paths while the vehicle or lunar surface systems equipment is in operation. Electrical connector concepts combining dust mitigation strategies and cable diagnostic technologies have significant application for lunar and Martian surface systems, as well as for dusty terrestrial applications. The dust-tolerant intelligent electrical connection system has several novel concepts and unique features. It combines intelligent cable diagnostics (health monitoring) and automatic circuit routing capabilities into a dust-tolerant electrical umbilical. It retrofits a clamshell protective dust cover to an existing connector for reduced gravity operation, and features a universal connector housing with three styles of dust protection: inverted cap, rotating cap, and clamshell. It uses a self-healing membrane as a dust barrier for electrical connectors where required, while also combining lotus leaf technology for applications where a dust-resistant coating providing low surface tension is needed to mitigate Van der Waals forces, thereby disallowing dust particle adhesion to connector surfaces. It also permits using a ruggedized iris mechanism with an embedded electrodynamic dust shield as a dust barrier for electrical connectors where required.

Self-Shielding Of Transmission Lines

Energy Technology Data Exchange (ETDEWEB)

Christodoulou, Christos [Univ. of New Mexico, Albuquerque, NM (United States)

2017-03-01

The use of shielding to contend with noise or harmful EMI/EMR energy is not a new concept. An inevitable trade that must be made for shielding is physical space and weight. Space was often not as much of a painful design trade in older larger systems as they are in today’s smaller systems. Today we are packing in an exponentially growing number of functionality within the same or smaller volumes. As systems become smaller and space within systems become more restricted, the implementation of shielding becomes more problematic. Often, space that was used to design a more mechanically robust component must be used for shielding. As the system gets smaller and space is at more of a premium, the trades starts to result in defects, designs with inadequate margin in other performance areas, and designs that are sensitive to manufacturing variability. With these challenges in mind, it would be ideal to maximize attenuation of harmful fields as they inevitably couple onto transmission lines without the use of traditional shielding. Dr. Tom Van Doren proposed a design concept for transmission lines to a class of engineers while visiting New Mexico. This design concept works by maximizing Electric field (E) and Magnetic Field (H) field containment between operating transmission lines to achieve what he called “Self-Shielding”. By making the geometric centroid of the outgoing current coincident with the return current, maximum field containment is achieved. The reciprocal should be true as well, resulting in greater attenuation of incident fields. Figure’s 1(a)-1(b) are examples of designs where the current centroids are coincident. Coax cables are good examples of transmission lines with co-located centroids but they demonstrate excellent field attenuation for other reasons and can’t be used to test this design concept. Figure 1(b) is a flex circuit design that demonstrate the implementation of self-shielding vs a standard conductor layout.

Fourth Conference on Artificial Intelligence for Space Applications

Science.gov (United States)

Odell, Stephen L. (Compiler); Denton, Judith S. (Compiler); Vereen, Mary (Compiler)

1988-01-01

Proceedings of a conference held in Huntsville, Alabama, on November 15-16, 1988. The Fourth Conference on Artificial Intelligence for Space Applications brings together diverse technical and scientific work in order to help those who employ AI methods in space applications to identify common goals and to address issues of general interest in the AI community. Topics include the following: space applications of expert systems in fault diagnostics, in telemetry monitoring and data collection, in design and systems integration; and in planning and scheduling; knowledge representation, capture, verification, and management; robotics and vision; adaptive learning; and automatic programming.

Early detection and identification of anomalies in chemical regime based on computational intelligence techniques

International Nuclear Information System (INIS)

Figedy, Stefan; Smiesko, Ivan

2012-01-01

This article provides brief information about the fundamental features of a newly-developed diagnostic system for early detection and identification of anomalies being generated in water chemistry regime of the primary and secondary circuit of the VVER-440 reactor. This system, which is called SACHER (System of Analysis of CHEmical Regime), was installed within the major modernization project at the NPP-V2 Bohunice in the Slovak Republic. The SACHER system has been fully developed on MATLAB environment. It is based on computational intelligence techniques and inserts various elements of intelligent data processing modules for clustering, diagnosing, future prediction, signal validation, etc, into the overall chemical information system. The application of SACHER would essentially assist chemists to identify the current situation regarding anomalies being generated in the primary and secondary circuit water chemistry. This system is to be used for diagnostics and data handling, however it is not intended to fully replace the presence of experienced chemists to decide upon corrective actions. (author)

Using technique vibration diagnostics for assessing the quality of power transmission line supports repairs

Directory of Open Access Journals (Sweden)

Cherpakov Aleksander

2017-01-01

Full Text Available The considered method for assessing the quality of the repair work to restore the rack supports of transmission lines is based on the method of vibration diagnostics. Power transmission line supports with a symmetrical destruction of the protective layer of concrete in the ground in violation of the construction section were chosen as an object. Finite element modelling package Ansys was used in assessing the quality of repair work. The example of evaluating the quality of repair using the relative adhesion defective area design criteria in the analysis of natural vibration frequencies is given.

Keeping Current: Emotional Intelligence and the School Library Media Specialist.

Science.gov (United States)

Barron, Daniel D.

1997-01-01

Discusses emotional intelligence and its importance for school library media specialists, based on a book by Daniel Goleman called "Emotional Intelligence." Highlights include managing emotions and relationships; self-motivation; and how emotional intelligence fits in with Standards for Information Literacy. (LRW)

Ambient diagnostics

CERN Document Server

Cai, Yang

2014-01-01

Part I. FundamentalsIntroductionWhat is Ambient Diagnostics?Diagnostic ModelsMultimedia IntelligenceCrowd SourcingSoft SensorsScience of SimplicityPersonal DiagnosesBasic AlgorithmsBasic ToolsSummaryProblemsTransformationEarly Discoveries of Heartbeat PatternsTransforms, Features, and AttributesSequential FeaturesSpatiotemporal FeaturesShape FeaturesImagery FeaturesFrequency Domain FeaturesMulti-Resolution FeaturesSummaryProblemsPattern RecognitionSimilarities and DistancesClustering MethodsClassification MethodsClassifier Accuracy MeasuresSummaryProblemsPart II. Multimedia IntelligenceSound RecognitionMicrophone AppsModern Acoustic Transducers (Microphones)Frequency Response CharacteristicsDigital Audio File FormatsHeart Sound SensingLung Sound SensingSnore MeterSpectrogram (STFT)Ambient Sound AnalysisSound RecognitionRecognizing Asthma SoundPeak ShiftFeature CompressionRegroupingNoise IssuesFuture ApplicationsSummaryProblemsColor SensorsColor SensingHuman Color VisionColor SensorsColor Matching ExperimentsC...

Self-Esteem and Emotional Intelligence among B.Ed Trainees of Tsunami Affected Coastal Belt

Science.gov (United States)

Babu M, Sameer

2008-01-01

Through this study the author investigates the relationship between self-esteem and emotional intelligence among B.Ed trainees of Tsunami affected coastal belt of Alappey district of Kerala, India. Stream of study, marital status and age based comparisons were made among the B.Ed trainees. 92 B.Ed trainees were the participants in the study. It…

Cooperative research and development for artificial intelligence based reactor diagnostic system

International Nuclear Information System (INIS)

Reifman, J.; Wei, T.Y.C.; Abboud, R.G.; Chasensky, T.M.

1994-01-01

Artificial Intelligence (AI) techniques in the form of knowledge-based Expert Systems (ESs) have been proposed to provide on-line decision-making support for plant operators during both normal and emergency conditions. However, in spite of the great interest in these advanced techniques, their application in the diagnosis of large-scale processes has not yet reached its full potential because of limitations of the knowledge base. These limitations include problems with knowledge acquisition and the use of an event-oriented approach for process diagnosis. The knowledge base of process diagnosis ESs is generally acquired in a heuristic fashion through empirical associations between plant symptoms and component malfunctions with no reliance on fundamental physical principles. This nonsystematic construction of the knowledge base causes, among other problems, the encoded information to be biased and limited towards the developer's own experience and judgmental knowledge. The use of an event-oriented approach for process diagnosis requires the developer of the knowledge base to anticipate and formulate rules to cover every conceivable plant situation. In addition to yielding a large knowledge base, an undesirable characteristic for an on-line real-time advisory system, an event-oriented approach for diagnosis of large and complex thermal-hydraulic (T-H) based processes cannot guarantee functional completeness and is likely to fail under unanticipated circumstances. Hence, these limitations preclude an effective verification and validation of the knowledge base which is required in industrial applications. In contrast to the heuristic construction of a rigid knowledge base that uses an event-oriented approach for process diagnosis, the authors propose a different approach that involves the systematic construction of a hierarchical knowledge base with two levels

Intelligent Environmental Nanomaterials

KAUST Repository

Chang, Jian

2018-01-30

Due to the inherent complexity of environmental problems, especially water and air pollution, the utility of single-function environmental nanomaterials used in conventional and unconventional environmental treatment technologies are gradually reaching their limits. Intelligent nanomaterials with environmentally-responsive functionalities have shown potential to improve the performance of existing and new environmental technologies. By rational design of their structures and functionalities, intelligent nanomaterials can perform different tasks in response to varying application scenarios for the purpose of achieving the best performance. This review offers a critical analysis of the design concepts and latest progresses on the intelligent environmental nanomaterials in filtration membranes with responsive gates, materials with switchable wettability for selective and on-demand oil/water separation, environmental materials with self-healing capability, and emerging nanofibrous air filters for PM2.5 removal. We hope that this review will inspire further research efforts to develop intelligent environmental nanomaterials for the enhancement of the overall quality of environmental or human health.

Intelligent Environmental Nanomaterials

KAUST Repository

Chang, Jian; Zhang, Lianbin; Wang, Peng

2018-01-01

Due to the inherent complexity of environmental problems, especially water and air pollution, the utility of single-function environmental nanomaterials used in conventional and unconventional environmental treatment technologies are gradually reaching their limits. Intelligent nanomaterials with environmentally-responsive functionalities have shown potential to improve the performance of existing and new environmental technologies. By rational design of their structures and functionalities, intelligent nanomaterials can perform different tasks in response to varying application scenarios for the purpose of achieving the best performance. This review offers a critical analysis of the design concepts and latest progresses on the intelligent environmental nanomaterials in filtration membranes with responsive gates, materials with switchable wettability for selective and on-demand oil/water separation, environmental materials with self-healing capability, and emerging nanofibrous air filters for PM2.5 removal. We hope that this review will inspire further research efforts to develop intelligent environmental nanomaterials for the enhancement of the overall quality of environmental or human health.

Emotional intelligence scale for medical students

Directory of Open Access Journals (Sweden)

Kalpana Srivastava

2011-01-01

Full Text Available Background: Emotional Intelligence has been associated with positive outcome process in varied professions. There is paucity of Indian literature on the subject; especially involving medical undergraduates; and presently there is no scale available to measure the same in the Indian scenario. Objective: To develop a scale to measure Emotional Intelligence among medical undergraduates. Materials and Methods: Four domains of Emotional intelligence were selected, viz. Self-Awareness, Self-Management, Social-Awareness & Social-Skills and these were included for the purpose of domains of the scale. On the basis of focused group discussions and in-depth deliberations with experts, undergraduate and postgraduate medical students a pool of 50 items was generated. The items were reduced to 27 based on expert consensus and on the basis of frequency of endorsement by expert reviews. It was followed by a pilot study of 50 undergraduates. This completed the preparation of the preliminary draft based on content analysis. The questionnaire was then administered in 480 students and the data was analyzed by appropriate statistical methods. For the purpose of concurrent validity, emotional intelligence scale developed by Dr. Ekta was used. Results: The Cronbach′s Alpha for Internal Consistency Reliability was 0.68. The EIS had a significant correlation with social awareness domain of Emotional Intelligence Test (EIT establishing Concurrent Validity. Conclusion: Emotional Intelligence Scale for medical undergraduates was constructed. Reliability and concurrent validity were also established for the same.

Enzymatic Fuel Cells: Towards Self-Powered Implantable and Wearable Diagnostics.

Science.gov (United States)

Gonzalez-Solino, Carla; Lorenzo, Mirella Di

2018-01-29

With the rapid progress in nanotechnology and microengineering, point-of-care and personalised healthcare, based on wearable and implantable diagnostics, is becoming a reality. Enzymatic fuel cells (EFCs) hold great potential as a sustainable means to power such devices by using physiological fluids as the fuel. This review summarises the fundamental operation of EFCs and discusses the most recent advances for their use as implantable and wearable self-powered sensors.

Enzymatic Fuel Cells: Towards Self-Powered Implantable and Wearable Diagnostics

OpenAIRE

Carla Gonzalez-Solino; Mirella Di Lorenzo

2018-01-01

With the rapid progress in nanotechnology and microengineering, point-of-care and personalised healthcare, based on wearable and implantable diagnostics, is becoming a reality. Enzymatic fuel cells (EFCs) hold great potential as a sustainable means to power such devices by using physiological fluids as the fuel. This review summarises the fundamental operation of EFCs and discusses the most recent advances for their use as implantable and wearable self-powered sensors.

Diagnostics of vector magnetic fields

Science.gov (United States)

Stenflo, J. O.

1985-01-01

It is shown that the vector magnetic fields derived from observations with a filter magnetograph will be severely distorted if the spatially unresolved magnetic structure is not properly accounted for. Thus the apparent vector field will appear much more horizontal than it really is, but this distortion is strongly dependent on the area factor and the temperature line weakenings. As the available fluxtube models are not sufficiently well determined, it is not possible to correct the filter magnetograph observations for these effects in a reliable way, although a crude correction is of course much better than no correction at all. The solution to this diagnostic problem is to observe simultaneously in suitable combinations of spectral lines, and/or use Stokes line profiles recorded with very high spectral resolution. The diagnostic power of using a Fourier transform spectrometer for polarimetry is shown and some results from I and V spectra are illustrated. The line asymmetries caused by mass motions inside the fluxtubes adds an extra complication to the diagnostic problem, in particular as there are indications that the motions are nonstationary in nature. The temperature structure appears to be a function of fluxtube diameter, as a clear difference between plage and network fluxtubes was revealed. The divergence of the magnetic field with height plays an essential role in the explanation of the Stokes V asymmetries (in combination with the mass motions). A self consistent treatment of the subarcsec field geometry may be required to allow an accurate derivation of the spatially averaged vector magnetic field from spectrally resolved data.

High Level of Emotional Intelligence Is Related to High Level of Online Teaching Self-Efficacy among Academic Nurse Educators

Science.gov (United States)

Ali, Nagia; Ali, Omar; Jones, James

2017-01-01

This study examined the relationship between emotional intelligence (EI) and online teaching self-efficacy among 115 academic nurse educators who teach online (totally, blended, or both). The sample was randomly drawn from the list of nursing schools accredited by Commission on Collegiate Nursing Education (CCNE) with baccalaureate, master's…

On-line signal trend identification

International Nuclear Information System (INIS)

Tambouratzis, T.; Antonopoulos-Domis, M.

2004-01-01

An artificial neural network, based on the self-organizing map, is proposed for on-line signal trend identification. Trends are categorized at each incoming signal as steady-state, increasing and decreasing, while they are further classified according to characteristics such signal shape and rate of change. Tests with model-generated signals illustrate the ability of the self-organizing map to accurately and reliably perform on-line trend identification in terms of both detection and classification. The proposed methodology has been found robust to the presence of white noise

Emotional intelligence and psychological health in a sample of Kuwaiti college students.

Science.gov (United States)

Alkhadher, Othman

2007-06-01

This summary investigated correlations between emotional intelligence and psychological health amongst 191 Kuwaiti undergraduate students in psychology, 98 men and 93 women (M age=20.6 yr., SD=2.8). There were two measures of emotional intelligence, one based on the ability model, the Arabic Test for Emotional Intelligence, and the other on the mixed model, the Emotional Intelligence Questionnaire. Participants' psychological health was assessed using scales from the Personality Assessment Inventory. A weak relationship between the two types of emotional intelligence was found. A correlation for scores on the Emotional Intelligence Questionnaire with the Personality Assessment Inventory was found but not with those of the Arabic Test for Emotional Intelligence. Regression analysis indicated scores on Managing Emotions and Self-awareness accounted for most of the variance in the association with the Personality Assessment Inventory. Significant sex differences were found only on the Arabic Test for Emotional Intelligence; women scored higher than men. On Emotional Intelligence Questionnaire measures, men had significantly higher means on Managing Emotions and Self-motivation. However, no significant differences were found between the sexes on the Total Emotional Intelligence Questionnaire scores.

Characterizing Neutron Diagnostics on the nTOF Line at SUNY Geneseo

Science.gov (United States)

Harrison, Hannah; Seppala, Hannah; Visca, Hannah; Wakwella, Praveen; Fletcher, Kurt; Padalino, Stephen; Forrest, Chad; Regan, Sean; Sangster, Craig

2016-10-01

Charged particle beams from SUNY Geneseo's 1.7 MV Tandem Pelletron Accelerator induce nuclear reactions that emit neutrons ranging from 0.5 to 17.9 MeV via 2H(d,n)3He and 11B(d,n)12C. This adjustable neutron source can be used to calibrate ICF and HEDP neutron scintillators for ICF diagnostics. However, gamma rays and muons, which are often present during an accelerator-based calibration, are difficult to differentiate from neutron signals in scintillators. To mitigate this problem, a new neutron time-of-flight (nTOF) line has been constructed. The nTOF timing is measured using the associated particle technique. A charged particle produced by the nuclear reaction serves as a start signal, while its associated neutron is the stop signal. Each reaction is analyzed event-by-event to determine whether the scintillator signal was generated by a neutron, gamma or muon. Using this nTOF technique, the neutron response for different scintillation detectors can be determined. Funded in part by a LLE contract through the DOE.

Artificial Consciousness or Artificial Intelligence

Directory of Open Access Journals (Sweden)

Spanache Florin

2017-05-01

Full Text Available Artificial intelligence is a tool designed by people for the gratification of their own creative ego, so we can not confuse conscience with intelligence and not even intelligence in its human representation with conscience. They are all different concepts and they have different uses. Philosophically, there are differences between autonomous people and automatic artificial intelligence. This is the difference between intelligence and artificial intelligence, autonomous versus automatic. But conscience is above these differences because it is neither conditioned by the self-preservation of autonomy, because a conscience is something that you use to help your neighbor, nor automatic, because one’s conscience is tested by situations which are not similar or subject to routine. So, artificial intelligence is only in science-fiction literature similar to an autonomous conscience-endowed being. In real life, religion with its notions of redemption, sin, expiation, confession and communion will not have any meaning for a machine which cannot make a mistake on its own.

Gender, g, gender identity concepts, and self-constructs as predictors of the self-estimated IQ.

Science.gov (United States)

Storek, Josephine; Furnham, Adrian

2013-01-01

In all 102 participants completed 2 intelligence tests, a self-estimated domain-masculine (DMIQ) intelligence rating (which is a composite of self-rated mathematical-logical and spatial intelligence), a measure of self-esteem, and of self-control. The aim was to confirm and extend previous findings about the role of general intelligence and gender identity in self-assessed intelligence. It aimed to examine further correlates of the Hubris-Humility Effect that shows men believe they are more intelligent than women. The DMIQ scores were correlated significantly with gender, psychometrically assessed IQ, and masculinity but not self-esteem or self-control. Stepwise regressions indicated that gender and gender role were the strongest predictors of DMIQ accounting for a third of the variance.

Gender, g, Gender Identity Concepts, and Self-Constructs as Predictors of the Self-Estimated IQ

Science.gov (United States)

Storek, Josephine

2013-01-01

In all 102 participants completed 2 intelligence tests, a self-estimated domain-masculine (DMIQ) intelligence rating (which is a composite of self-rated mathematical–logical and spatial intelligence), a measure of self-esteem, and of self-control. The aim was to confirm and extend previous findings about the role of general intelligence and gender identity in self-assessed intelligence. It aimed to examine further correlates of the Hubris–Humility Effect that shows men believe they are more intelligent than women. The DMIQ scores were correlated significantly with gender, psychometrically assessed IQ, and masculinity but not self-esteem or self-control. Stepwise regressions indicated that gender and gender role were the strongest predictors of DMIQ accounting for a third of the variance. PMID:24303578

Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors.

Science.gov (United States)

Villaverde, Monica; Perez, David; Moreno, Felix

2015-11-17

The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor's infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.

Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors

Directory of Open Access Journals (Sweden)

Monica Villaverde

2015-11-01

Full Text Available The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor’s infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc.

The Effects of a Growth Mindset Intervention on the Beliefs about Intelligence, Effort Beliefs, Achievement Goal Orientations, and Academic Self-Efficacy of LD Students with Reading Difficulties

Science.gov (United States)

Baldridge, Mary Caufield

2010-01-01

The overall purpose of this study was to examine the effects of a "growth mindset" intervention on the beliefs about intelligence, effort beliefs, achievement goals, and academic self-efficacy of learning disabled (LD) students with reading difficulties. The treatment group consisted of 12 high school LD students with reading difficulties. This…

Emotional Intelligence and Transformational Leadership in Physical Education Managers

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Nooshin Esfahani,

2013-03-01

Full Text Available The aim of the present research was to investigate the relationship between emotional intelligence and transformational leadership in managers of physical education of Golestan province. The managers and deputies of Golestan physical education departments participated in this research and 47 subjects were selected as the statistical sample of this study. Emotional Intelligence questionnaire that assessed five micro scales of self-awareness, self-management, self-motivation, empathy and social skills, Multifactor Leadership questionnaire (MLQ by Bass and Avolio (1996 that measured five micro scales related to transformational leadership, three micro scales of transactional leadership, and laissez-faire leadership were used to collect the data. In order to analyze the data, ANOVA test, multiple regression test, and Pearson correlation coefficient were applied. The results showed a significant relationship between emotional intelligence and transformational leadership method. Also, the results of multiple regression test indicated that among transformational leadership micro scales, personal considerations was the strongest predictive variable in transformational leadership method and among emotional intelligence micro scales, empathy had a great influence on emotional intelligence of physical education managers.

On-line diagnosis and recovery of adversary attack using logic flowgraph methodology simulation

International Nuclear Information System (INIS)

Guarro, S.B.

1986-01-01

The Logic Flowgraph Methodology (LFM) allows the construction of special graph models for simulation of complex processes of causality, including feedback loops and sequential effects. Among the most notable features of LFM is the formal inclusion in its models of causality conditioning by logic switches imbedded in the modeled process, such as faults or modes of operation. The LFM model of a process is a graph structure that captures, in one synthetic representation, the relevant success and fault space characterization of that process. LFM is very similar to an artificial intelligence expert system shell. To illustrate the utilization of LFM, an application to the assessment and on-line monitoring of a material control facility is presented. The LFM models are used to model adversary action and control response, and to generate mini-diagnostic and recovery trees in real time, as well as reliability tress for off-line evaluation. Although the case study presented is for an imaginary facility, most of the conceptual elements that would be present in a real application have been retained in order to highlight the features and capabilities of the methodology

Forbidden lines of highly ionized ions for localized plasma diagnostics

International Nuclear Information System (INIS)

Hinnov, E.; Fonck, R.; Suckewer, S.

1980-06-01

Numerous optically forbidden lines resulting from magnetic dipole transitions in low-lying electron configurations of highly ionized Fe, Ti and Cr atoms have been identified in PLT and PDX tokamak discharges, and applied for localized diagnostics in the high-temperature (0.5 to 3.0 keV) interior of these plasmas. The measurements include determination of local ion densities and their variation in time, and of ion motions (ion temperature, plasma rotations) through Doppler effect of the lines. These forbidden lines are particularly appropriate for such measurements because under typical tokamak conditions their emissivities are quite high (10 11 to 10 14 photons/cm 3 -sec), and their relatively long wavelengths allow the use of intricate optical techniques and instrumentation. The spatial location of the emissivity is directly measurable, and tends to occur near radii where the ionization potential of the ion in question is equal to the local electron temperature. In future larger and presumably higher-temperature tokamaks analogous measurements with somewhat heavier atoms, particularly krypton, and perhaps zirconium appear both feasible and desirable

Slope And Equation of Line: Teach And Analysis In Terms of Emotional Intelligence

Science.gov (United States)

Dewi, A. C.; Budiyono; Riyadi

2017-09-01

Slope and equation of line is a sub-material of algebra and is one that is difficult for students to understand. The purpose of this study is to understand and explore the slope and equation so that students feel easy and ultimately improve their academic achievement. Experimental research was conducted by applying Jigsaw II learning model and Teams Games Tournament (TGT) and improvement in emotional intelligence (EI). The study sample was students from 3 different schools who were selected stratified cluster random sampling. The results showed that there is no influence of learning model and EI on academic achievement. This can happen even in the learning process students feel happy and interest. Although research shows different results with most theories, but it is expected that this research can be a good reference for students, teachers, and other researchers.

Enzymatic Fuel Cells: Towards Self-Powered Implantable and Wearable Diagnostics

Science.gov (United States)

Gonzalez-Solino, Carla; Lorenzo, Mirella Di

2018-01-01

With the rapid progress in nanotechnology and microengineering, point-of-care and personalised healthcare, based on wearable and implantable diagnostics, is becoming a reality. Enzymatic fuel cells (EFCs) hold great potential as a sustainable means to power such devices by using physiological fluids as the fuel. This review summarises the fundamental operation of EFCs and discusses the most recent advances for their use as implantable and wearable self-powered sensors. PMID:29382147

Enzymatic Fuel Cells: Towards Self-Powered Implantable and Wearable Diagnostics

Directory of Open Access Journals (Sweden)

Carla Gonzalez-Solino

2018-01-01

Full Text Available With the rapid progress in nanotechnology and microengineering, point-of-care and personalised healthcare, based on wearable and implantable diagnostics, is becoming a reality. Enzymatic fuel cells (EFCs hold great potential as a sustainable means to power such devices by using physiological fluids as the fuel. This review summarises the fundamental operation of EFCs and discusses the most recent advances for their use as implantable and wearable self-powered sensors.

Line Shape Modeling for the Diagnostic of the Electron Density in a Corona Discharge

Directory of Open Access Journals (Sweden)

Joël Rosato

2017-09-01

Full Text Available We present an analysis of spectra observed in a corona discharge designed for the study of dielectrics in electrical engineering. The medium is a gas of helium and the discharge was performed at the vicinity of a tip electrode under high voltage. The shape of helium lines is dominated by the Stark broadening due to the plasma microfield. Using a computer simulation method, we examine the sensitivity of the He 492 nm line shape to the electron density. Our results indicate the possibility of a density diagnostic based on passive spectroscopy. The influence of collisional broadening due to interactions between the emitters and neutrals is discussed.

Emotional intelligence and depressive symptoms in Spanish institutionalized elders: does emotional self-efficacy act as a mediator?

Directory of Open Access Journals (Sweden)

Octavio Luque-Reca

2016-07-01

Full Text Available Background. This work examines the relationship between emotional intelligence (EI and depressive symptomatology in institutionalized older adults, delving into the mechanisms underlying this relationship. Considering that previous evidence of the variation of the EI-depression relationship depending on whether the emotional ability or the perception of that ability is evaluated, a model of multiple mediation was tested in which the dimensions of emotional self-efficacy (ESE act as mediators in the relationship between ability EI and depressive symptomatology. Methods. The sample consisted of 115 institutionalized older adults (47.82% women; 80.3 ± 7.9 years of age from the province of Jaén (Spain who completed a test of ESE, a measure of ability EI, and a self-administered questionnaire of depressive symptoms. Results. The results showed a positive association between older adults’ emotional performance and depressive symptomatology, finding stronger associations with ESE than with EI abilities. In addition, multiple mediation analyses showed that two of the four dimensions of ESE fully mediated the relationship between ability EI and depressive symptoms. Discussion. These findings suggest that older adults’ high levels of emotional competence generate a feeling of ESE which can protect them against depressive symptoms. This work supports the predictive validity of emotional abilities and ESE for the mental health of a group that is particularly vulnerable to depression, institutionalized older adults. The limitations of the work are discussed, and future lines of research were considered.

Self-powered integrated systems-on-chip (energy chip)

KAUST Repository

Hussain, Muhammad Mustafa

2010-04-23

In today\\'s world, consumer driven technology wants more portable electronic gadgets to be developed, and the next big thing in line is self-powered handheld devices. Therefore to reduce the power consumption as well as to supply sufficient power to run those devices, several critical technical challenges need to be overcome: a. Nanofabrication of macro/micro systems which incorporates the direct benefit of light weight (thus portability), low power consumption, faster response, higher sensitivity and batch production (low cost). b. Integration of advanced nano-materials to meet the performance/cost benefit trend. Nano-materials may offer new functionalities that were previously underutilized in the macro/micro dimension. c. Energy efficiency to reduce power consumption and to supply enough power to meet that low power demand. We present a pragmatic perspective on a self-powered integrated System on Chip (SoC). We envision the integrated device will have two objectives: low power consumption/dissipation and on-chip power generation for implementation into handheld or remote technologies for defense, space, harsh environments and medical applications. This paper provides insight on materials choices, intelligent circuit design, and CMOS compatible integration.

Self-powered integrated systems-on-chip (energy chip)

Science.gov (United States)

Hussain, M. M.; Fahad, H.; Rojas, J.; Hasan, M.; Talukdar, A.; Oommen, J.; Mink, J.

2010-04-01

In today's world, consumer driven technology wants more portable electronic gadgets to be developed, and the next big thing in line is self-powered handheld devices. Therefore to reduce the power consumption as well as to supply sufficient power to run those devices, several critical technical challenges need to be overcome: a. Nanofabrication of macro/micro systems which incorporates the direct benefit of light weight (thus portability), low power consumption, faster response, higher sensitivity and batch production (low cost). b. Integration of advanced nano-materials to meet the performance/cost benefit trend. Nano-materials may offer new functionalities that were previously underutilized in the macro/micro dimension. c. Energy efficiency to reduce power consumption and to supply enough power to meet that low power demand. We present a pragmatic perspective on a self-powered integrated System on Chip (SoC). We envision the integrated device will have two objectives: low power consumption/dissipation and on-chip power generation for implementation into handheld or remote technologies for defense, space, harsh environments and medical applications. This paper provides insight on materials choices, intelligent circuit design, and CMOS compatible integration.

Intelligent system for statistically significant expertise knowledge on the basis of the model of self-organizing nonequilibrium dissipative system

Directory of Open Access Journals (Sweden)

E. A. Tatokchin

2017-01-01

Full Text Available Development of the modern educational technologies caused by broad introduction of comput-er testing and development of distant forms of education does necessary revision of methods of an examination of pupils. In work it was shown, need transition to mathematical criteria, exami-nations of knowledge which are deprived of subjectivity. In article the review of the problems arising at realization of this task and are offered approaches for its decision. The greatest atten-tion is paid to discussion of a problem of objective transformation of rated estimates of the ex-pert on to the scale estimates of the student. In general, the discussion this question is was con-cluded that the solution to this problem lies in the creation of specialized intellectual systems. The basis for constructing intelligent system laid the mathematical model of self-organizing nonequilibrium dissipative system, which is a group of students. This article assumes that the dissipative system is provided by the constant influx of new test items of the expert and non-equilibrium – individual psychological characteristics of students in the group. As a result, the system must self-organize themselves into stable patterns. This patern will allow for, relying on large amounts of data, get a statistically significant assessment of student. To justify the pro-posed approach in the work presents the data of the statistical analysis of the results of testing a large sample of students (> 90. Conclusions from this statistical analysis allowed to develop intelligent system statistically significant examination of student performance. It is based on data clustering algorithm (k-mean for the three key parameters. It is shown that this approach allows you to create of the dynamics and objective expertise evaluation.

Trait Emotional Intelligence Is Related to Risk Taking when Adolescents Make Deliberative Decisions

Directory of Open Access Journals (Sweden)

Angelo Panno

2016-08-01

Full Text Available Most forms of risky behavior reach their peak during adolescence. A prominent line of research is exploring the relationship between people’s emotional self-efficacy and risk taking, but little is known about this relationship in the cognitive-deliberative domain among adolescents. The main aim of the present study consists in investigating whether trait EI (Emotional Intelligence is positively related to risk taking under predominantly cognitive-deliberative conditions among adolescents. Ninety-four adolescents played the cold version of the Columbia Card Task one month following an assessment of their trait EI. Results showed that trait EI is associated with risk taking under cognitive-deliberative conditions among adolescents. Moreover, the present research showed that trait EI is related to risk taking through the decision makers’ self-motivation. These results provide novel insights into research investigating the connections between emotional intelligence, decision science and adolescence research.

Zeroing in on the Genetics of Intelligence

Directory of Open Access Journals (Sweden)

Ruben C. Arslan

2015-04-01

Full Text Available Despite the high heritability of intelligence in the normal range, molecular genetic studies have so far yielded many null findings. However, large samples and self-imposed stringent standards have prevented false positives and gradually narrowed down where effects can still be expected. Rare variants and mutations of large effect do not appear to play a main role beyond intellectual disability. Common variants can account for about half the heritability of intelligence and show promise that collaborative efforts will identify more causal genetic variants. Gene–gene interactions may explain some of the remainder, but are only starting to be tapped. Evolutionarily, stabilizing selection and selective (near-neutrality are consistent with the facts known so far.

System diagnostic builder: a rule-generation tool for expert systems that do intelligent data evaluation

Science.gov (United States)

Nieten, Joseph L.; Burke, Roger

1993-03-01

The system diagnostic builder (SDB) is an automated knowledge acquisition tool using state- of-the-art artificial intelligence (AI) technologies. The SDB uses an inductive machine learning technique to generate rules from data sets that are classified by a subject matter expert (SME). Thus, data is captured from the subject system, classified by an expert, and used to drive the rule generation process. These rule-bases are used to represent the observable behavior of the subject system, and to represent knowledge about this system. The rule-bases can be used in any knowledge based system which monitors or controls a physical system or simulation. The SDB has demonstrated the utility of using inductive machine learning technology to generate reliable knowledge bases. In fact, we have discovered that the knowledge captured by the SDB can be used in any number of applications. For example, the knowledge bases captured from the SMS can be used as black box simulations by intelligent computer aided training devices. We can also use the SDB to construct knowledge bases for the process control industry, such as chemical production, or oil and gas production. These knowledge bases can be used in automated advisory systems to ensure safety, productivity, and consistency.

Excitation dependence of resonance line self-broadening at different atomic densities

OpenAIRE

Li, Hebin; Sautenkov, Vladimir A.; Rostovtsev, Yuri V.; Scully, Marlan O.

2009-01-01

We study the dipole-dipole spectral broadening of a resonance line at high atomic densities when the self-broadening dominates. The selective reflection spectrum of a weak probe beam from the interface of the cell window and rubidium vapor are recorded in the presence of a far-detuned pump beam. The excitation due to the pump reduces the self-broadening. We found that the self-broadening reduction dependence on the pump power is atomic density independent. These results provide experimental e...

Microcomputer Intelligence for Technical Training (MITT): The evolution of an intelligent tutoring system

Science.gov (United States)

Norton, Jeffrey E.; Wiederholt, Bradley J.; Johnson, William B.

1990-01-01

Microcomputer Intelligence for Technical Training (MITT) uses Intelligent Tutoring System (OTS) technology to deliver diagnostic training in a variety of complex technical domains. Over the past six years, MITT technology has been used to develop training systems for nuclear power plant diesel generator diagnosis, Space Shuttle fuel cell diagnosis, and message processing diagnosis for the Minuteman missile. Presented here is an overview of the MITT system, describing the evolution of the MITT software and the benefits of using the MITT system.

Mode of communication and classroom placement impact on speech intelligibility.

Science.gov (United States)

Tobey, Emily A; Rekart, Deborah; Buckley, Kristi; Geers, Ann E

2004-05-01

To examine the impact of classroom placement and mode of communication on speech intelligibility scores in children aged 8 to 9 years using multichannel cochlear implants. Classroom placement (special education, partial mainstream, and full mainstream) and mode of communication (total communication and auditory-oral) reported via parental rating scales before and 4 times after implantation were the independent variables. Speech intelligibility scores obtained at 8 to 9 years of age were the dependent variables. The study included 131 congenitally deafened children between the ages of 8 and 9 years who received a multichannel cochlear implant before the age of 5 years. Higher speech intelligibility scores at 8 to 9 years of age were significantly associated with enrollment in auditory-oral programs rather than enrollment in total communication programs, regardless of when the mode of communication was used (before or after implantation). Speech intelligibility at 8 to 9 years of age was not significantly influenced by classroom placement before implantation, regardless of mode of communication. After implantation, however, there were significant associations between classroom placement and speech intelligibility scores at 8 to 9 years of age. Higher speech intelligibility scores at 8 to 9 years of age were associated with classroom exposure to normal-hearing peers in full or partial mainstream placements than in self-contained, special education placements. Higher speech intelligibility scores in 8- to 9-year-old congenitally deafened cochlear implant recipients were associated with educational settings that emphasize oral communication development. Educational environments that incorporate exposure to normal-hearing peers were also associated with higher speech intelligibility scores at 8 to 9 years of age.

25th International Conference on Industrial, Engineering & Other Applica- tions of Applied Intelligent Systems (IEA/AIE 2012)

CERN Document Server

Jiang, He; Ali, Moonis; Li, Mingchu; Modern Advances in Intelligent Systems and Tools

2012-01-01

Intelligent systems provide a platform to connect the research in artificial intelligence to real-world problem solving applications. Various intelligent systems have been developed to face real-world applications. This book discusses the modern advances in intelligent systems and the tools in applied artificial intelligence. It consists of twenty-three chapters authored by participants of the 25th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2012) which was held in Dalian, China. This book is divided into six parts, including Applied Intelligence, Cognitive Computing and Affective Computing, Data Mining and Intelligent Systems, Decision Support Systems, Machine Learning, and Natural Language Processing. Each part includes three to five chapters. In these chapters, many approaches, applications, restrictions, and discussions are presented. The material of each chapter is self-contained and was reviewed by at least two anonymous referees t...

Diagnostics for the 1.5 GeV Transport Line at the NSRRC

CERN Document Server

Hu, K H; Hsu, K T; Kuo, C H; Lee, D; Wang, C J; Yang, Y T

2005-01-01

The extracted 1.5 GeV electron beams from the booster synchrotron are transported via a transport line and injected into the storage ring. This booster-to-storage ring transport line equipped with stripline beam positions monitors, integrated current transformers, fast current transformer, and screen monitors. Commercial log-ratio BPM electronics were adopted to process the 500MHz bunch signal directly. The position of the passing beam is digitized by VME analog interface. The transmission efficiency is measured by integrated current transformer. Screen monitors are used to support routine operation. This report summary the system architecture, software tools, and performance of the BTS diagnostics.

Research on Poppers Used as Electrical Connectors in High Speed Textile Transmission Lines

Directory of Open Access Journals (Sweden)

Leśnikowski Jacek

2016-12-01

Full Text Available This paper presents results of research on poppers used as electrical connectors connecting fragments of textile signal lines. These lines can be used in intelligent clothing for connecting electronic modules implemented in it. Intelligent (smart clothing can be used, among others, in the health monitoring of the elderly, newborn babies, or people working in hazardous conditions, for example, firefighters and soldiers. The aim of the present study was to examine the usefulness of poppers, widely used in clothing, as electrical connectors connecting parts of the textile signal lines designed for transmission of high-speed digital signals. The paper presents examples of measured parameters characterizing transmission properties of two fragments of the coplanar, textile transmission line connected to each other using conventional poppers. The presented measurement results contain the so-called s parameters, characteristic impedance of the poppers, and eye measurements characterizing distortions of digital signals passing through the tested line. In the article, the effect of temperature and humidity of air surrounding the tested poppers on their characteristic impedance was also presented. This property and its stability are important in signal lines designed for high-speed data transmission.

Self-tuning wireless power transmission scheme based on on-line scattering parameters measurement and two-side power matching.

Science.gov (United States)

Luo, Yanting; Yang, Yongmin; Chen, Zhongsheng

2014-04-10

Sub-resonances often happen in wireless power transmission (WPT) systems using coupled magnetic resonances (CMR) due to environmental changes, coil movements or component degradations, which is a serious challenge for high efficiency power transmission. Thus self-tuning is very significant to keep WPT systems following strongly magnetic resonant conditions in practice. Traditional coupled-mode ways is difficult to solve this problem. In this paper a two-port power wave model is presented, where power matching and the overall systemic power transmission efficiency are firstly defined by scattering (S) parameters. Then we propose a novel self-tuning scheme based on on-line S parameters measurements and two-side power matching. Experimental results testify the feasibility of the proposed method. These findings suggest that the proposed method is much potential to develop strongly self-adaptive WPT systems with CMR.

An exploratory examination of the relationships among emotional intelligence, elementary school science teacher self-efficacy, length of teaching experience, race/ethnicity, gender, and age

Science.gov (United States)

Okech, Allan P.

The purpose of the study was to examine the relationships among emotional intelligence, teacher self-efficacy, length of teaching experience, and age in a sample of south Texas public school teachers. Additionally, the study examined differences in emotional intelligence between male teachers and female teachers, and among African American, Hispanics, and White teachers. Participants were 180 elementary science teachers from south Texas public schools. The sample was made up of 14 (7.8%) males and 166 (92.2%) females. Regarding race/ethnicity, the study sample consisted of 31 (17.2%) African Americans (3 males and 28 females), 49 (27.2) Hispanics (7 males and 42 females), 98 (54.4%) Whites (3 males and 95 females), and 2 (1.1%) "Other" (1 male and 1 female). Participants ranged in age from 23 years to 65 years. Five hypotheses were proposed and tested to address the relationships under investigation. The study employed a mixed methods---correlational and causal-comparative---research design approach. Three instruments, the Multifactor Emotional Intelligence Scale (Mayer, Caruso, & Salovey, 1999), the Science Teaching Efficacy Beliefs Instrument (Riggs & Enochs, 1990), and a demographics questionnaire were utilized to collect the data. An independent-measures t test, the Pearson r, and the one-way MANOVA were used to analyze the data. A Significant positive relationship was found between "emotional intelligence" and "teacher self-efficacy." Data analyses, however, failed to support hypothesized relationships between "emotional intelligence" and "length of teaching experience," and between "emotional intelligence" and "age". Additionally, statistical analyses of the data collected for this study supported predicted statistically significant differences in "emotional intelligence" between male and female teachers, and among the three race/ethnicity groupings. Based on these findings, recommendations for the application of the construct of "emotional intelligence" in

Roughness of equipotential lines due to a self-affine boundary

International Nuclear Information System (INIS)

Assis, Thiago A de; Mota, Fernando de B; Miranda, Jose G V; Andrade, Roberto F S; Filho, Hugo de O Dias; Castilho, Caio M C de

2006-01-01

In this work, the characterization of the roughness of a set of equipotential lines l, due to a rough surface held at a nonzero voltage bias, is investigated. The roughness of the equipotential lines reflects the roughness of the profile, and causes a rapid variation in the electric field close to the surface. An ideal situation was considered, where a well known self-affine profile mimics the surface, while the equipotential lines are numerically evaluated using Liebmann's method. The use of an exact scale invariant profile helps to understand the dependency of the line roughness exponent α(l) on both the value of the potential (or on the average distance to the profile) and the profile's length. Results clearly support previous indications that: (a) for a system of fixed size, higher values of α characterize less corrugated lines far away from the profile; (b) for a fixed value of the potential, α decreases with the length of the profile towards the value of the boundary. This suggests that, for a system of infinite size, all equipotential lines share the same value of α

High-temperature expansion along the self-dual line of three-dimensional Z(2) spin-gauge theory

International Nuclear Information System (INIS)

Bhanot, G.

1981-01-01

We exploit the self-duality of the three-dimensional Ising spin-gauge theory to develop an eighth-order high-temperature expansion for the partition function along the self-dual line. This generates a high-temperature series for the gauge-invariant, nearest-neighbor spin-spin correlation function. A Pade analysis of this series reveals a pole along the self-dual line. Recent Monte Carlo simulations indicate that this theory has a first-order self-dual line emerging from a triple point. We interpret the Pade pole as a theoretical estimate of the end point of this self-dual line

THE FORMATION OF IRIS DIAGNOSTICS. VII. THE FORMATION OF THE O i 135.56 NM LINE IN THE SOLAR ATMOSPHERE

Energy Technology Data Exchange (ETDEWEB)

Lin, Hsiao-Hsuan; Carlsson, Mats, E-mail: h.h.lin@astro.uio.no, E-mail: mats.carlsson@astro.uio.no [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, NO-0315 Oslo (Norway)

2015-11-01

The O i 135.56 nm line is covered by NASA's Interface Region Imaging Spectrograph (IRIS) small explorer mission which studies how the solar atmosphere is energized. We study here the formation and diagnostic potential of this line by means of non-local thermodynamic equilibrium modeling employing both 1D semi-empirical and 3D radiation magnetohydrodynamic models. We study the basic formation mechanisms and derive a quintessential model atom that incorporates essential atomic physics for the formation of the O i 135.56 nm line. This atomic model has 16 levels and describes recombination cascades through highly excited levels by effective recombination rates. The ionization balance O i/O ii is set by the hydrogen ionization balance through charge exchange reactions. The emission in the O i 135.56 nm line is dominated by a recombination cascade and the line is optically thin. The Doppler shift of the maximum emission correlates strongly with the vertical velocity in its line forming region, which is typically located at 1.0–1.5 Mm height. The total intensity of the line emission is correlated with the square of the electron density. Since the O i 135.56 nm line is optically thin, the width of the emission line is a very good diagnostic of non-thermal velocities. We conclude that the O i 135.56 nm line is an excellent probe of the middle chromosphere, and compliments other powerful chromospheric diagnostics of IRIS such as the Mg ii h and k lines and the C ii lines around 133.5 nm.

The Intelligent Control System and Experiments for an Unmanned Wave Glider.

Science.gov (United States)

Liao, Yulei; Wang, Leifeng; Li, Yiming; Li, Ye; Jiang, Quanquan

2016-01-01

The control system designing of Unmanned Wave Glider (UWG) is challenging since the control system is weak maneuvering, large time-lag and large disturbance, which is difficult to establish accurate mathematical model. Meanwhile, to complete marine environment monitoring in long time scale and large spatial scale autonomously, UWG asks high requirements of intelligence and reliability. This paper focuses on the "Ocean Rambler" UWG. First, the intelligent control system architecture is designed based on the cerebrum basic function combination zone theory and hierarchic control method. The hardware and software designing of the embedded motion control system are mainly discussed. A motion control system based on rational behavior model of four layers is proposed. Then, combining with the line-of sight method(LOS), a self-adapting PID guidance law is proposed to compensate the steady state error in path following of UWG caused by marine environment disturbance especially current. Based on S-surface control method, an improved S-surface heading controller is proposed to solve the heading control problem of the weak maneuvering carrier under large disturbance. Finally, the simulation experiments were carried out and the UWG completed autonomous path following and marine environment monitoring in sea trials. The simulation experiments and sea trial results prove that the proposed intelligent control system, guidance law, controller have favorable control performance, and the feasibility and reliability of the designed intelligent control system of UWG are verified.

The Intelligent Control System and Experiments for an Unmanned Wave Glider

Science.gov (United States)

Liao, Yulei; Wang, Leifeng; Li, Yiming; Li, Ye; Jiang, Quanquan

2016-01-01

The control system designing of Unmanned Wave Glider (UWG) is challenging since the control system is weak maneuvering, large time-lag and large disturbance, which is difficult to establish accurate mathematical model. Meanwhile, to complete marine environment monitoring in long time scale and large spatial scale autonomously, UWG asks high requirements of intelligence and reliability. This paper focuses on the “Ocean Rambler” UWG. First, the intelligent control system architecture is designed based on the cerebrum basic function combination zone theory and hierarchic control method. The hardware and software designing of the embedded motion control system are mainly discussed. A motion control system based on rational behavior model of four layers is proposed. Then, combining with the line-of sight method(LOS), a self-adapting PID guidance law is proposed to compensate the steady state error in path following of UWG caused by marine environment disturbance especially current. Based on S-surface control method, an improved S-surface heading controller is proposed to solve the heading control problem of the weak maneuvering carrier under large disturbance. Finally, the simulation experiments were carried out and the UWG completed autonomous path following and marine environment monitoring in sea trials. The simulation experiments and sea trial results prove that the proposed intelligent control system, guidance law, controller have favorable control performance, and the feasibility and reliability of the designed intelligent control system of UWG are verified. PMID:28005956

Simulation study on the lightning overvoltage invasion control transformer intelligent substation

Science.gov (United States)

Xi, Chuyan; Hao, Jie; Zhang, Ying

2018-04-01

By simulating lightning on substation line of one intelligent substation, research the influence of different lightning points on lightning invasion wave overvoltage, and the necessity of arrester for the main transformer. The results show, in a certain lightning protection measures, the installation of arrester nearby the main transformer can effectively reduce the overvoltage value of bus and the main transformer [1].

A comparison of alternative methods for estimating the self-thinning boundary line

Science.gov (United States)

Lianjun Zhang; Huiquan Bi; Jeffrey H. Gove; Linda S. Heath

2005-01-01

The fundamental validity of the self-thinning "law" has been debated over the last three decades. A long-sanding concern centers on how to objectively select data points for fitting the self-thinning line and the most appropriate regression method for estimating the two coefficients. Using data from an even-aged Pinus strobus L. stand as an...

Understanding the Links Between Self-Report Emotional Intelligence and Suicide Risk: Does Psychological Distress Mediate This Relationship Across Time and Samples?

Directory of Open Access Journals (Sweden)

Sergio Mérida-López

2018-05-01

Full Text Available Objective: In the last decades, increasing attention has been paid to examining psychological resources that might contribute to our understanding of suicide risk. Although Emotional Intelligence (EI is one dimension that has been linked with decreased suicidal ideation and behaviors, we detected several gaps in the literature in this area regarding the research designs and samples involved. In this research, we aimed to test a mediator model considering self-report EI, psychological distress and suicide risk across samples adopting both cross-sectional and prospective designs in two independent studies.Method: In Study 1, our purpose was to examine the potential role of psychological distress as a mediator in the relationship between self-report EI and suicide risk in a community sample comprised of 438 adults (270 women; mean age: 33.21 years. In Study 2, we sought to examine the proposed mediator model considering a 2-month prospective design in a sample of college students (n = 330 in T1; n = 311 in T2; 264 women; mean age: 22.22 years.Results: In Study 1, we found that psychological distress partially mediated the effect of self-report EI on suicide risk. More interestingly, findings from Study 2 showed that psychological distress fully mediated the relationship between self-report EI and suicide risk at Time 2.Conclusion: These results point out the role of psychological distress as a mediator in the association between self-report EI and suicide risk. These findings suggest an underlying process by which self-report EI may act as a protective factor against suicidal ideation and behaviors. In line with the limitations of our work, plausible avenues for future research and interventions are discussed.

Bringing the National Security Agency into the Classroom: Ethical Reflections on Academia-Intelligence Agency Partnerships.

Science.gov (United States)

Kampe, Christopher; Reid, Gwendolynne; Jones, Paul; S, Colleen; S, Sean; Vogel, Kathleen M

2018-01-09

Academia-intelligence agency collaborations are on the rise for a variety of reasons. These can take many forms, one of which is in the classroom, using students to stand in for intelligence analysts. Classrooms, however, are ethically complex spaces, with students considered vulnerable populations, and become even more complex when layering multiple goals, activities, tools, and stakeholders over those traditionally present. This does not necessarily mean one must shy away from academia-intelligence agency partnerships in classrooms, but that these must be conducted carefully and reflexively. This paper hopes to contribute to this conversation by describing one purposeful classroom encounter that occurred between a professor, students, and intelligence practitioners in the fall of 2015 at North Carolina State University: an experiment conducted as part of a graduate-level political science class that involved students working with a prototype analytic technology, a type of participatory sensing/self-tracking device, developed by the National Security Agency. This experiment opened up the following questions that this paper will explore: What social, ethical, and pedagogical considerations arise with the deployment of a prototype intelligence technology in the college classroom, and how can they be addressed? How can academia-intelligence agency collaboration in the classroom be conducted in ways that provide benefits to all parties, while minimizing disruptions and negative consequences? This paper will discuss the experimental findings in the context of ethical perspectives involved in values in design and participatory/self-tracking data practices, and discuss lessons learned for the ethics of future academia-intelligence agency partnerships in the classroom.

Trait emotional intelligence influences on academic achievement and school behaviour.

Science.gov (United States)

Mavroveli, Stella; Sánchez-Ruiz, María José

2011-03-01

BACKGROUND. Trait emotional intelligence (trait EI or trait emotional self-efficacy) refers to individuals' emotion-related self-perceptions (Petrides, Furnham, & Mavroveli, 2007). The children's trait EI sampling domain provides comprehensive coverage of their affective personality. Preliminary evidence shows that the construct has important implications for children's psychological and behavioural adjustment. AIMS. This study investigates the associations between trait EI and school outcomes, such as performance in reading, writing, and maths, peer-rated behaviour and social competence, and self-reported bullying behaviours in a sample of primary school children. It also examines whether trait EI scores differentiate between children with and without special educational needs (SEN). SAMPLE. The sample comprised 565 children (274 boys and 286 girls) between the ages of 7 and 12 (M((age)) = 9.12 years, SD= 1.27 years) attending three English state primary schools. METHOD. Pupils completed the Trait Emotional Intelligence Questionnaire-Child Form (TEIQue-CF), the Guess Who peer assessment, the Peer-Victimization Scale, and the Bullying Behaviour Scale. Additional data on achievement and SEN were collected from the school archives. RESULTS. As predicted by trait EI theory, associations between trait EI and academic achievement were modest and limited to Year 3 children. Higher trait EI scores were related to more nominations from peers for prosocial behaviours and fewer nominations for antisocial behaviour as well as lower scores on self-reported bulling behaviours. Furthermore, SEN students scored lower on trait EI compared to students without SEN. CONCLUSIONS. Trait EI holds important and multifaceted implications for the socialization of primary schoolchildren. ©2010 The British Psychological Society.

Manfaat Emotional Intelligence bagi Pengajar dalam Proses Belajar Mengajar

Directory of Open Access Journals (Sweden)

Astrini Astrini

2010-10-01

Full Text Available This paper contains a theoretical overview of Emotional Intelligence or emotional intelligence that can be applied in teaching and learning. The application of emotional intelligence is not only beneficial to create quality graduates but is also useful for self-development of teachers. Emotional intelligence can be developed by the faculty including the development of self-awareness of their feelings experience, acceptance and management of feelings, relationships built with students and also the ability to create a conducive learning environment for students ready to learn. 

Self-Consistent Dynamical Model of the Broad Line Region

Energy Technology Data Exchange (ETDEWEB)

Czerny, Bozena [Center for Theoretical Physics, Polish Academy of Sciences, Warsaw (Poland); Li, Yan-Rong [Key Laboratory for Particle Astrophysics, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing (China); Sredzinska, Justyna; Hryniewicz, Krzysztof [Copernicus Astronomical Center, Polish Academy of Sciences, Warsaw (Poland); Panda, Swayam [Center for Theoretical Physics, Polish Academy of Sciences, Warsaw (Poland); Copernicus Astronomical Center, Polish Academy of Sciences, Warsaw (Poland); Wildy, Conor [Center for Theoretical Physics, Polish Academy of Sciences, Warsaw (Poland); Karas, Vladimir, E-mail: bcz@cft.edu.pl [Astronomical Institute, Czech Academy of Sciences, Prague (Czech Republic)

2017-06-22

We develop a self-consistent description of the Broad Line Region based on the concept of a failed wind powered by radiation pressure acting on a dusty accretion disk atmosphere in Keplerian motion. The material raised high above the disk is illuminated, dust evaporates, and the matter falls back toward the disk. This material is the source of emission lines. The model predicts the inner and outer radius of the region, the cloud dynamics under the dust radiation pressure and, subsequently, the gravitational field of the central black hole, which results in asymmetry between the rise and fall. Knowledge of the dynamics allows us to predict the shapes of the emission lines as functions of the basic parameters of an active nucleus: black hole mass, accretion rate, black hole spin (or accretion efficiency) and the viewing angle with respect to the symmetry axis. Here we show preliminary results based on analytical approximations to the cloud motion.

Self-Consistent Dynamical Model of the Broad Line Region

Directory of Open Access Journals (Sweden)

Bozena Czerny

2017-06-01

Full Text Available We develop a self-consistent description of the Broad Line Region based on the concept of a failed wind powered by radiation pressure acting on a dusty accretion disk atmosphere in Keplerian motion. The material raised high above the disk is illuminated, dust evaporates, and the matter falls back toward the disk. This material is the source of emission lines. The model predicts the inner and outer radius of the region, the cloud dynamics under the dust radiation pressure and, subsequently, the gravitational field of the central black hole, which results in asymmetry between the rise and fall. Knowledge of the dynamics allows us to predict the shapes of the emission lines as functions of the basic parameters of an active nucleus: black hole mass, accretion rate, black hole spin (or accretion efficiency and the viewing angle with respect to the symmetry axis. Here we show preliminary results based on analytical approximations to the cloud motion.

Non-Newtonian Aspects of Artificial Intelligence

Science.gov (United States)

Zak, Michail

2016-05-01

The challenge of this work is to connect physics with the concept of intelligence. By intelligence we understand a capability to move from disorder to order without external resources, i.e., in violation of the second law of thermodynamics. The objective is to find such a mathematical object described by ODE that possesses such a capability. The proposed approach is based upon modification of the Madelung version of the Schrodinger equation by replacing the force following from quantum potential with non-conservative forces that link to the concept of information. A mathematical formalism suggests that a hypothetical intelligent particle, besides the capability to move against the second law of thermodynamics, acquires such properties like self-image, self-awareness, self-supervision, etc. that are typical for Livings. However since this particle being a quantum-classical hybrid acquires non-Newtonian and non-quantum properties, it does not belong to the physics matter as we know it: the modern physics should be complemented with the concept of the information force that represents a bridge to intelligent particle. As a follow-up of the proposed concept, the following question is addressed: can artificial intelligence (AI) system composed only of physical components compete with a human? The answer is proven to be negative if the AI system is based only on simulations, and positive if digital devices are included. It has been demonstrated that there exists such a quantum neural net that performs simulations combined with digital punctuations. The universality of this quantum-classical hybrid is in capability to violate the second law of thermodynamics by moving from disorder to order without external resources. This advanced capability is illustrated by examples. In conclusion, a mathematical machinery of the perception that is the fundamental part of a cognition process as well as intelligence is introduced and discussed.

Towards Intelligence and Flexibility of Learning and Knowledge Testing Environments

Directory of Open Access Journals (Sweden)

Nerijus AUKSTAKALNIS

2006-02-01

Full Text Available The proposed goal oriented knowledge acquisition and assessment are based on the flexible educational model and allows to implement an adaptive control of the enhanced learning process according to the requirements of student's knowledge level, his state of cognition and subject learning history. The enhanced learner knowledge model specifies how the cognition state of the user will be achieved step by step. The use case actions definition is a starting point of the specification, which depends on different levels of learning scenarios and user cognition sub goals. The use case actions specification is used as a basis to set the requirements for service software specification and attributes of learning objects respectively. The paper presents the enhanced architecture of the student self-evaluation and on-line assessment system TestTool. The system is explored as an assessment engine capable of supporting and improving the individualized intelligent goal oriented self-instructional and simulation based mode of learning, grounded on the GRID distributed service architecture.

Fluid Intelligence and Psychosocial Outcome: From Logical Problem Solving to Social Adaptation

Science.gov (United States)

Huepe, David; Roca, María; Salas, Natalia; Canales-Johnson, Andrés; Rivera-Rei, Álvaro A.; Zamorano, Leandro; Concepción, Aimée; Manes, Facundo; Ibañez, Agustín

2011-01-01

Background While fluid intelligence has proved to be central to executive functioning, logical reasoning and other frontal functions, the role of this ability in psychosocial adaptation has not been well characterized. Methodology/Principal Findings A random-probabilistic sample of 2370 secondary school students completed measures of fluid intelligence (Raven's Progressive Matrices, RPM) and several measures of psychological adaptation: bullying (Delaware Bullying Questionnaire), domestic abuse of adolescents (Conflict Tactic Scale), drug intake (ONUDD), self-esteem (Rosenberg's Self Esteem Scale) and the Perceived Mental Health Scale (Spanish adaptation). Lower fluid intelligence scores were associated with physical violence, both in the role of victim and victimizer. Drug intake, especially cannabis, cocaine and inhalants and lower self-esteem were also associated with lower fluid intelligence. Finally, scores on the perceived mental health assessment were better when fluid intelligence scores were higher. Conclusions/Significance Our results show evidence of a strong association between psychosocial adaptation and fluid intelligence, suggesting that the latter is not only central to executive functioning but also forms part of a more general capacity for adaptation to social contexts. PMID:21957464

Fluid intelligence and psychosocial outcome: from logical problem solving to social adaptation.

Science.gov (United States)

Huepe, David; Roca, María; Salas, Natalia; Canales-Johnson, Andrés; Rivera-Rei, Álvaro A; Zamorano, Leandro; Concepción, Aimée; Manes, Facundo; Ibañez, Agustín

2011-01-01

While fluid intelligence has proved to be central to executive functioning, logical reasoning and other frontal functions, the role of this ability in psychosocial adaptation has not been well characterized. A random-probabilistic sample of 2370 secondary school students completed measures of fluid intelligence (Raven's Progressive Matrices, RPM) and several measures of psychological adaptation: bullying (Delaware Bullying Questionnaire), domestic abuse of adolescents (Conflict Tactic Scale), drug intake (ONUDD), self-esteem (Rosenberg's Self Esteem Scale) and the Perceived Mental Health Scale (Spanish adaptation). Lower fluid intelligence scores were associated with physical violence, both in the role of victim and victimizer. Drug intake, especially cannabis, cocaine and inhalants and lower self-esteem were also associated with lower fluid intelligence. Finally, scores on the perceived mental health assessment were better when fluid intelligence scores were higher. Our results show evidence of a strong association between psychosocial adaptation and fluid intelligence, suggesting that the latter is not only central to executive functioning but also forms part of a more general capacity for adaptation to social contexts.

Fluid intelligence and psychosocial outcome: from logical problem solving to social adaptation.

Directory of Open Access Journals (Sweden)

David Huepe

Full Text Available While fluid intelligence has proved to be central to executive functioning, logical reasoning and other frontal functions, the role of this ability in psychosocial adaptation has not been well characterized.A random-probabilistic sample of 2370 secondary school students completed measures of fluid intelligence (Raven's Progressive Matrices, RPM and several measures of psychological adaptation: bullying (Delaware Bullying Questionnaire, domestic abuse of adolescents (Conflict Tactic Scale, drug intake (ONUDD, self-esteem (Rosenberg's Self Esteem Scale and the Perceived Mental Health Scale (Spanish adaptation. Lower fluid intelligence scores were associated with physical violence, both in the role of victim and victimizer. Drug intake, especially cannabis, cocaine and inhalants and lower self-esteem were also associated with lower fluid intelligence. Finally, scores on the perceived mental health assessment were better when fluid intelligence scores were higher.Our results show evidence of a strong association between psychosocial adaptation and fluid intelligence, suggesting that the latter is not only central to executive functioning but also forms part of a more general capacity for adaptation to social contexts.

A comparative analysis of emotional intelligence in the UK and Australian radiographer workforce

International Nuclear Information System (INIS)

Mackay, S.J.; Baker, R.; Collier, D.; Lewis, S.

2013-01-01

Emotional intelligence (EI) in the UK radiographer workforce has been benchmarked using the trait emotional intelligence model and the profile of the profession in the UK has begun to emerge. There are cultural differences between countries that have been shown to have an effect on EI, therefore this paper aims to benchmark the Global and four factor scores of Trait EI in the Australian radiographer population; to explore any differences within the two main professional groupings, diagnostic and therapeutic radiographers, and to compare the Australian radiographer workforce scores with those of the UK previously published. The published and validated trait EI questionnaire of Petrides was used as the survey tool for the Global EI and the four factors of Well-being, Emotionality, Self-control and Sociability. There was only one difference found in the five factors studied between the UK and Australian radiographer workforce, that of Well-being (p ≤ 0.01). No differences emerged between the diagnostic and therapy disciplines nor was a relationship found between EI and the Australian leadership in contrast to the UK workforce findings. Differences were found in the demographic profiles of the two countries and the implications of the above findings are discussed. This paper has benchmarked the EI of the Australian workforce and found a difference in well-being between the UK and Australian radiographer workforce. The Australian diagnostic and therapy disciplines were no different in their EI profiles. No relationship was found between EI and leadership in the Australian radiographer workforce

X-ray lines and self-interacting dark matter.

Science.gov (United States)

Mambrini, Yann; Toma, Takashi

We study the correlation between a monochromatic signal from annihilating dark matter and its self-interacting cross section. We apply our argument to a complex scalar dark sector, where the pseudo-scalar plays the role of a warm dark matter candidate while the scalar mediates its interaction with the Standard Model. We combine the recent observation of the cluster Abell 3827 for self-interacting dark matter and the constraints on the annihilation cross section for monochromatic X-ray lines. We also confront our model to a set of recent experimental analyses and find that such an extension can naturally produce a monochromatic keV signal corresponding to recent observations of Perseus or Andromeda, while in the meantime it predicts a self-interacting cross section of the order of [Formula: see text], as recently claimed in the observation of the cluster Abell 3827. We also propose a way to distinguish such models by future direct detection techniques.

Incomplete Intelligence: Is the Information Sharing Environment an Effective Platform?

Science.gov (United States)

2012-09-01

Initiative NYFD New York Fire Department NYPD New York Police Department OLAP On Line Analytics Processing OSINT Open Source Intelligence...Intelligence ( OSINT ), from public websites, media sources, and other unclassified events and reports. Although some of these sources do not have a direct

Mathematical literacy in undergraduates: role of gender, emotional intelligence and emotional self-efficacy

Science.gov (United States)

Tariq, Vicki N.; Qualter, Pamela; Roberts, Sian; Appleby, Yvon; Barnes, Lynne

2013-12-01

This empirical study explores the roles that Emotional Intelligence (EI) and Emotional Self-Efficacy (ESE) play in undergraduates' mathematical literacy, and the influence of EI and ESE on students' attitudes towards and beliefs about mathematics. A convenience sample of 93 female and 82 male first-year undergraduates completed a test of mathematical literacy, followed by an online survey designed to measure the students' EI, ESE and factors associated with mathematical literacy. Analysis of the data revealed significant gender differences. Males attained a higher mean test score than females and out-performed the females on most of the individual questions and the associated mathematical tasks. Overall, males expressed greater confidence in their mathematical skills, although both males' and females' confidence outweighed their actual mathematical proficiency. Correlation analyses revealed that males and females attaining higher mathematical literacy test scores were more confident and persistent, exhibited lower levels of mathematics anxiety and possessed higher mathematics qualifications. Correlation analyses also revealed that in male students, aspects of ESE were associated with beliefs concerning the learning of mathematics (i.e. that intelligence is malleable and that persistence can facilitate success), but not with confidence or actual performance. Both EI and ESE play a greater role with regard to test performance and attitudes/beliefs regarding mathematics amongst female undergraduates; higher EI and ESE scores were associated with higher test scores, while females exhibiting higher levels of ESE were also more confident and less anxious about mathematics, believed intelligence to be malleable, were more persistent and were learning goal oriented. Moderated regression analyses confirmed mathematics anxiety as a negative predictor of test performance in males and females, but also revealed that in females EI and ESE moderate the effects of anxiety on test

ECONOMIC RECESSION A CALL FOR COMPETITIVE INTELLIGENCE

OpenAIRE

Lucian Marius IVANOV

2011-01-01

Global recession brought about a significant growth in competition, stressing the need for relevant and reliable intelligence as a support for making efficient strategic decisions. The recent circumstances draw the attention far more earnestly this time on the need for an intelligence structure within companies to be ready for sustaining business management endeavours in line with increasing competitiveness, protection and promotion of their interests.

Line positions, intensities and self-broadening coefficients for the ν5 band of methyl chloride

International Nuclear Information System (INIS)

Barbouchi Ramchani, A.; Jacquemart, D.; Dhib, M.; Aroui, H.

2013-01-01

High resolution Fourier transform spectra have been recorded around 6.9 μm at room temperature using a rapid scan Bruker IFS 120 HR interferometer (unapodized Bruker resolution=0.005 cm −1 ). Transitions of both 12 CH 3 35 Cl and 12 CH 3 37 Cl isotopologues belonging to the ν 5 perpendicular band have been studied. Line positions, intensities, and self-broadening coefficients have been retrieved using a multispectrum fitting procedure that allowed to fit simultaneously the whole set of experimental spectra recorded at various pressures of CH 3 Cl. The wavenumber calibration has been performed using the frequencies of CO 2 transitions. The transition dipole moments squared have been determined for each measured line and the whole set of measurements has been compared with previous measurements and with values from HITRAN and GEISA databases. The rotational J and K dependencies of the self-broadening coefficients have been clearly observed and modeled using empirical polynomial expansions. The average accuracy of the line parameters obtained in this work has been estimated to be between 0.1×10 −3 and 1×10 −3 cm −1 for line positions, between 2% and 5% for line intensities and between 5% and 10% for self-broadening coefficients depending on the transitions. -- Highlights: ► Fourier-transform spectra of the ν 5 band of CH 3 Cl at room temperature. ► Measurements of line positions, intensities and self-broadening coefficients. ► Analysis of the J- and K-rotational dependences of self-widths. ► Comparisons with literature

3rd Computer Science On-line Conference

CERN Document Server

Senkerik, Roman; Oplatkova, Zuzana; Silhavy, Petr; Prokopova, Zdenka

2014-01-01

This book is based on the research papers presented in the 3rd Computer Science On-line Conference 2014 (CSOC 2014).   The conference is intended to provide an international forum for discussions on the latest high-quality research results in all areas related to Computer Science. The topics addressed are the theoretical aspects and applications of Artificial Intelligences, Computer Science, Informatics and Software Engineering.   The authors provide new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in their field. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented.   This book is divided into three sections and covers topics including Artificial Intelligence, Computer Science and Software Engineering. Each section consists of new theoretical contributions and applications which can be used for the further development of knowledge of everybod...

Launch vehicle operations cost reduction through artificial intelligence techniques

Science.gov (United States)

Davis, Tom C., Jr.

1988-01-01

NASA's Kennedy Space Center has attempted to develop AI methods in order to reduce the cost of launch vehicle ground operations as well as to improve the reliability and safety of such operations. Attention is presently given to cost savings estimates for systems involving launch vehicle firing-room software and hardware real-time diagnostics, as well as the nature of configuration control and the real-time autonomous diagnostics of launch-processing systems by these means. Intelligent launch decisions and intelligent weather forecasting are additional applications of AI being considered.

On-line experimental validation of a model-based diagnostic algorithm dedicated to a solid oxide fuel cell system

Science.gov (United States)

Polverino, Pierpaolo; Esposito, Angelo; Pianese, Cesare; Ludwig, Bastian; Iwanschitz, Boris; Mai, Andreas

2016-02-01

In the current energetic scenario, Solid Oxide Fuel Cells (SOFCs) exhibit appealing features which make them suitable for environmental-friendly power production, especially for stationary applications. An example is represented by micro-combined heat and power (μ-CHP) generation units based on SOFC stacks, which are able to produce electric and thermal power with high efficiency and low pollutant and greenhouse gases emissions. However, the main limitations to their diffusion into the mass market consist in high maintenance and production costs and short lifetime. To improve these aspects, the current research activity focuses on the development of robust and generalizable diagnostic techniques, aimed at detecting and isolating faults within the entire system (i.e. SOFC stack and balance of plant). Coupled with appropriate recovery strategies, diagnosis can prevent undesired system shutdowns during faulty conditions, with consequent lifetime increase and maintenance costs reduction. This paper deals with the on-line experimental validation of a model-based diagnostic algorithm applied to a pre-commercial SOFC system. The proposed algorithm exploits a Fault Signature Matrix based on a Fault Tree Analysis and improved through fault simulations. The algorithm is characterized on the considered system and it is validated by means of experimental induction of faulty states in controlled conditions.

A novel modification of the Turing test for artificial intelligence and robotics in healthcare.

Science.gov (United States)

Ashrafian, Hutan; Darzi, Ara; Athanasiou, Thanos

2015-03-01

The increasing demands of delivering higher quality global healthcare has resulted in a corresponding expansion in the development of computer-based and robotic healthcare tools that rely on artificially intelligent technologies. The Turing test was designed to assess artificial intelligence (AI) in computer technology. It remains an important qualitative tool for testing the next generation of medical diagnostics and medical robotics. Development of quantifiable diagnostic accuracy meta-analytical evaluative techniques for the Turing test paradigm. Modification of the Turing test to offer quantifiable diagnostic precision and statistical effect-size robustness in the assessment of AI for computer-based and robotic healthcare technologies. Modification of the Turing test to offer robust diagnostic scores for AI can contribute to enhancing and refining the next generation of digital diagnostic technologies and healthcare robotics. Copyright © 2014 John Wiley & Sons, Ltd.

Reliability assessment of fiber optic communication lines depending on external factors and diagnostic errors

Science.gov (United States)

Bogachkov, I. V.; Lutchenko, S. S.

2018-05-01

The article deals with the method for the assessment of the fiber optic communication lines (FOCL) reliability taking into account the effect of the optical fiber tension, the temperature influence and the built-in diagnostic equipment errors of the first kind. The reliability is assessed in terms of the availability factor using the theory of Markov chains and probabilistic mathematical modeling. To obtain a mathematical model, the following steps are performed: the FOCL state is defined and validated; the state graph and system transitions are described; the system transition of states that occur at a certain point is specified; the real and the observed time of system presence in the considered states are identified. According to the permissible value of the availability factor, it is possible to determine the limiting frequency of FOCL maintenance.

Position Paper on Intelligent Supply Chains

DEFF Research Database (Denmark)

Møller, Charles

This paper is intended to present and to analyze the concept of the Intelligent Supply Chain (ISC). The purpose of the paper is to: 1) Clarify the concept of the intelligent supply chain; 2) Identify emerging research opportunities; and 3) Specify a research engagement model for further explorati...... of intelligent supply chains. It is concluded that information management is critical to intelligent supply chains and a research agenda is outlined.......This paper is intended to present and to analyze the concept of the Intelligent Supply Chain (ISC). The purpose of the paper is to: 1) Clarify the concept of the intelligent supply chain; 2) Identify emerging research opportunities; and 3) Specify a research engagement model for further exploration...... the concept of Intelligent Supply Chain and to establish an overall perspective based on information management. The claim made here is that the notion of the intelligent enterprise contributes with a new perspective on supply chain management that addresses the current challenges in an industrial supply...

Real time incorporation of random events in the reasoning of an on-line expert system. Application to the acoustic surveillance of vapor generators

International Nuclear Information System (INIS)

Launay, T.

1989-03-01

A study for improving an expert system applied in diagnostic assistance is presented. The results will be implemented in the vapor generators surveillance system. The aim of the work is to improve performances by reducing the time spent on reasoning and to strengthen the vigilance system. The investigation consists of four parts. In the first part, the state of the art of the different logics used in the artificial intelligence techniques is discussed, and the TMS and ATMS systems are presented. The second part of this thesis deals with problematics. Each point of the problem is studied and answered by applying the basic concepts used in the generation of on-line expert systems. In the third part, the on-line expert system generator ACTE is described. The ACTE aspects concerning the user, the inner structure and the functionality are considered. In the fourth part, an application to the surveillance of vapor generators and concluding remarks are presented [fr

Trait Emotional Intelligence and the Big Five: A Study on Italian Children and Preadolescents

Science.gov (United States)

Russo, Paolo Maria; Mancini, Giacomo; Trombini, Elena; Baldaro, Bruno; Mavroveli, Stella; Petrides, K. V.

2012-01-01

Trait emotional intelligence (EI) is a constellation of emotion-related self-perceptions located at the lower levels of personality hierarchies. This article examines the validity of the Trait Emotional Intelligence Questionnaire-Child Form and investigates its relationships with Big Five factors and cognitive ability. A total of 690 children (317…

A Natural Language Intelligent Tutoring System for Training Pathologists - Implementation and Evaluation

Science.gov (United States)

El Saadawi, Gilan M.; Tseytlin, Eugene; Legowski, Elizabeth; Jukic, Drazen; Castine, Melissa; Fine, Jeffrey; Gormley, Robert; Crowley, Rebecca S.

2009-01-01

Introduction We developed and evaluated a Natural Language Interface (NLI) for an Intelligent Tutoring System (ITS) in Diagnostic Pathology. The system teaches residents to examine pathologic slides and write accurate pathology reports while providing immediate feedback on errors they make in their slide review and diagnostic reports. Residents can ask for help at any point in the case, and will receive context-specific feedback. Research Questions We evaluated (1) the performance of our natural language system, (2) the effect of the system on learning (3) the effect of feedback timing on learning gains and (4) the effect of ReportTutor on performance to self-assessment correlations. Methods The study uses a crossover 2×2 factorial design. We recruited 20 subjects from 4 academic programs. Subjects were randomly assigned to one of the four conditions - two conditions for the immediate interface, and two for the delayed interface. An expert dermatopathologist created a reference standard and 2 board certified AP/CP pathology fellows manually coded the residents' assessment reports. Subjects were given the opportunity to self grade their performance and we used a survey to determine student response to both interfaces. Results Our results show a highly significant improvement in report writing after one tutoring session with 4-fold increase in the learning gains with both interfaces but no effect of feedback timing on performance gains. Residents who used the immediate feedback interface first experienced a feature learning gain that is correlated with the number of cases they viewed. There was no correlation between performance and self-assessment in either condition. PMID:17934789

A Self-diagnostic Method for the Electrode Adhesion of an Electromagnetic Flow-meter

Directory of Open Access Journals (Sweden)

Wen-Hua Cui

2014-07-01

Full Text Available Electrodes of electromagnetic flow-meter are subject to contamination in sewage measurement. In this paper, the relationship between the internal resistance of the flow-induced voltage and the electrode contamination is analyzed on the basis of numerical analysis. A new self- diagnostic method for electrode adhesion with additional excitation based on photovoltaic cell is proposed, in which magnetic excitation for flow-rate measurement and electric excitation for electrode self-diagnosis is divided in both time domain and frequency domain. A dual-excited electromagnetic flow-meter with electrode self-diagnosis was designed and validated. Simulation experiments based on the change of the internal resistance of the flow-induced voltage were carried out. And the experimental results fully show that this new method is feasible and promising.

Computational intelligence applications in modeling and control

CERN Document Server

Vaidyanathan, Sundarapandian

2015-01-01

The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature. The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their processing, mutually supportive factors. Developed theories of computational intelligence were quickly applied in many fields of engineering, data analysis, forecasting, biomedicine and others. They are used in images and sounds processing and identifying, signals processing, multidimensional data visualization, steering of objects, analysis of lexicographic data, requesting systems in banking, diagnostic systems, expert systems and many other practical implementations. This book consists of 16 contributed chapters by subject experts who are specialized in the various topics addressed in this book. The special chapters have been brought ...

THE FORMATION OF IRIS DIAGNOSTICS. II. THE FORMATION OF THE Mg II h and k LINES IN THE SOLAR ATMOSPHERE

Energy Technology Data Exchange (ETDEWEB)

Leenaarts, J.; Pereira, T. M. D.; Carlsson, M.; De Pontieu, B. [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, NO-0315 Oslo (Norway); Uitenbroek, H., E-mail: jorritl@astro.uio.no, E-mail: tiago.pereira@astro.uio.no, E-mail: mats.carlsson@astro.uio.no, E-mail: bdp@lmsal.com, E-mail: huitenbroek@nso.edu [NSO/Sacramento Peak P.O. Box 62 Sunspot, NM 88349-0062 (United States)

2013-08-01

NASA's Interface Region Imaging Spectrograph (IRIS) small explorer mission will study how the solar atmosphere is energized. IRIS contains an imaging spectrograph that covers the Mg II h and k lines as well as a slit-jaw imager centered at Mg II k. Understanding the observations requires forward modeling of Mg II h and k line formation from three-dimensional (3D) radiation-magnetohydrodynamic (RMHD) models. This paper is the second in a series where we undertake this modeling. We compute the vertically emergent h and k intensity from a snapshot of a dynamic 3D RMHD model of the solar atmosphere, and investigate which diagnostic information about the atmosphere is contained in the synthetic line profiles. We find that the Doppler shift of the central line depression correlates strongly with the vertical velocity at optical depth unity, which is typically located less than 200 km below the transition region (TR). By combining the Doppler shifts of the h and k lines we can retrieve the sign of the velocity gradient just below the TR. The intensity in the central line depression is anti-correlated with the formation height, especially in subfields of a few square Mm. This intensity could thus be used to measure the spatial variation of the height of the TR. The intensity in the line-core emission peaks correlates with the temperature at its formation height, especially for strong emission peaks. The peaks can thus be exploited as a temperature diagnostic. The wavelength difference between the blue and red peaks provides a diagnostic of the velocity gradients in the upper chromosphere. The intensity ratio of the blue and red peaks correlates strongly with the average velocity in the upper chromosphere. We conclude that the Mg II h and k lines are excellent probes of the very upper chromosphere just below the TR, a height regime that is impossible to probe with other spectral lines. They also provide decent temperature and velocity diagnostics of the middle

Emotional intelligence in incarcerated men with psychopathic traits

Science.gov (United States)

Ermer, Elsa; Kahn, Rachel E.; Salovey, Peter; Kiehl, Kent A.

2012-01-01

The expression, recognition, and communication of emotional states are ubiquitous features of the human social world. Emotional intelligence (EI) is defined as the ability to perceive, manage, and reason about emotions, in oneself and others. Individuals with psychopathy have numerous difficulties in social interaction and show impairment on some emotional tasks. Here we investigate the relation between emotional intelligence and psychopathy in a sample of incarcerated men (n=374), using the Psychopathy Checklist—Revised (PCL-R; Hare, 2003) and the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT; Mayer, Salovey, & Caruso, 2002). The MSCEIT is a well-validated ability-based emotional intelligence measure that does not rely on self-report judgments of emotional skills. The Hare PCL-R is the gold-standard for the assessment of psychopathy in clinical populations. Controlling for general intelligence, psychopathy was associated with lower emotional intelligence. These findings suggest individuals with psychopathy are impaired on a range of emotional intelligence abilities and that emotional intelligence is an important area for understanding deficits in psychopathy. PMID:22329657

New approaches in intelligent control techniques, methodologies and applications

CERN Document Server

Kountchev, Roumen

2016-01-01

This volume introduces new approaches in intelligent control area from both the viewpoints of theory and application. It consists of eleven contributions by prominent authors from all over the world and an introductory chapter. This volume is strongly connected to another volume entitled "New Approaches in Intelligent Image Analysis" (Eds. Roumen Kountchev and Kazumi Nakamatsu). The chapters of this volume are self-contained and include summary, conclusion and future works. Some of the chapters introduce specific case studies of various intelligent control systems and others focus on intelligent theory based control techniques with applications. A remarkable specificity of this volume is that three chapters are dealing with intelligent control based on paraconsistent logics.

Experimental studies on coherent synchrotron radiaiton in the emittance exchange line at the Fermilab A0 Photoinjector

International Nuclear Information System (INIS)

Thangaraj, J.C.T.; Keup, R.; Johnson, A.; Ruan, J.; Piot, P.; Church, M.; Edwards, H.; Lumpkin, A.; Sun, Y.-E.; Santucci, J.

2011-01-01

Future accelerators will employ advanced beam conditioning systems such as emittance exchangers to manipulate high brightness beams. Coherent synchrotron radiation (CSR) in the dipoles could limit the performance of the emittance exchanger. In this paper, we report the experimental studies on measuring CSR and its effects on the beam at the A0 photoinjector in the emittance exchange line. After reporting the CSR power measurements, we report on the diagnostic scheme based on a weak skew quad in the emittance exchange line to study the CSR effects on the beam and other beam dynamics. In this work, we have reported on CSR measurements and the effect of skew quad on the dogleg line with the 5-cell turned on and off. We plan to study CSR effects on the bunch with the 5-cell on at larger chirp. This is will not only increase the CSR self-effect but also reduce the beamsize at the screen for convenient beamsize measurements.

Opportunities for emotional intelligence in the context of nursing

Directory of Open Access Journals (Sweden)

Lubica Ilievová

2013-04-01

Full Text Available Introduction: Emotional intelligence is the ability to recognize and control one´s own emotions as well as emotions of other people. There are two orientations in studying emotional intelligence. They differ in whether they relate abilities and personal characteristic features or not. Emotional intelligence usage is currently being understood as a fundamental requirement of nursing in care provision to patients.Methods: In a research conducted with a group of nursing students (n = 86, we were examining emotional intelligence as an ability and as a feature. We used SIT-EMO (Situational Test of Emotional Understanding scales in order to fi nd out emotional intelligence as an ability, and SEIS (Schutte Emotional Intelligence Scale, measuring emotional intelligence as a feature. In the context of nursing, we were finding out emotional self-effi cacy in relation to geriatric patients (ESE-GP. TEIQue-SF (Trait Emotional Intelligence Questionnaire – short form method was used to set up our own questionnaire.Results: We were fi nding out the extent of emotional intelligence and we were analyzing it from the viewpoint of its grasping as a feature, ability and emotional self-effi cacy in relation to geriatric patients. We found out lower levels in social awareness, emotional management and stress management dimensions of the nursing students.Conclusion: Emotional intelligence as an ability of the nursing students can be enhanced through psychological and social trainings. Emotional intelligence has an impact on social and communication skills, which are a precondition of effective nursing care.

Self-Calibration and Optimal Response in Intelligent Sensors Design Based on Artificial Neural Networks

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Gilberto Bojorquez

2007-08-01

Full Text Available The development of smart sensors involves the design of reconfigurable systemscapable of working with different input sensors. Reconfigurable systems ideally shouldspend the least possible amount of time in their calibration. An autocalibration algorithmfor intelligent sensors should be able to fix major problems such as offset, variation of gainand lack of linearity, as accurately as possible. This paper describes a new autocalibrationmethodology for nonlinear intelligent sensors based on artificial neural networks, ANN.The methodology involves analysis of several network topologies and training algorithms.The proposed method was compared against the piecewise and polynomial linearizationmethods. Method comparison was achieved using different number of calibration points,and several nonlinear levels of the input signal. This paper also shows that the proposedmethod turned out to have a better overall accuracy than the other two methods. Besides,experimentation results and analysis of the complete study, the paper describes theimplementation of the ANN in a microcontroller unit, MCU. In order to illustrate themethod capability to build autocalibration and reconfigurable systems, a temperaturemeasurement system was designed and tested. The proposed method is an improvement over the classic autocalibration methodologies, because it impacts on the design process of intelligent sensors, autocalibration methodologies and their associated factors, like time and cost.

Computational Intelligence and Decision Making Trends and Applications

CERN Document Server

Madureira, Ana; Marques, Viriato

2013-01-01

This book provides a general overview and original analysis of new developments and applications in several areas of Computational Intelligence and Information Systems. Computational Intelligence has become an important tool for engineers to develop and analyze novel techniques to solve problems in basic sciences such as physics, chemistry, biology, engineering, environment and social sciences.   The material contained in this book addresses the foundations and applications of Artificial Intelligence and Decision Support Systems, Complex and Biological Inspired Systems, Simulation and Evolution of Real and Artificial Life Forms, Intelligent Models and Control Systems, Knowledge and Learning Technologies, Web Semantics and Ontologies, Intelligent Tutoring Systems, Intelligent Power Systems, Self-Organized and Distributed Systems, Intelligent Manufacturing Systems and Affective Computing. The contributions have all been written by international experts, who provide current views on the topics discussed and pr...

Millimeter-wave imaging diagnostics systems on the EAST tokamak (invited)

Energy Technology Data Exchange (ETDEWEB)

Zhu, Y. L.; Xie, J. L., E-mail: jlxie@ustc.edu.cn; Yu, C. X.; Zhao, Z. L.; Gao, B. X.; Chen, D. X.; Liu, W. D.; Liao, W.; Qu, C. M.; Luo, C. [School of Physics, University of Science and Technology of China, Anhui 230026 (China); Hu, X.; Spear, A. G.; Luhmann, N. C.; Domier, C. W.; Chen, M.; Ren, X. [University of California, Davis, California 95616 (United States); Tobias, B. J. [Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States)

2016-11-15

Millimeter-wave imaging diagnostics, with large poloidal span and wide radial range, have been developed on the EAST tokamak for visualization of 2D electron temperature and density fluctuations. A 384 channel (24 poloidal × 16 radial) Electron Cyclotron Emission Imaging (ECEI) system in F-band (90-140 GHz) was installed on the EAST tokamak in 2012 to provide 2D electron temperature fluctuation images with high spatial and temporal resolution. A co-located Microwave Imaging Reflectometry (MIR) will be installed for imaging of density fluctuations by December 2016. This “4th generation” MIR system has eight independent frequency illumination beams in W-band (75-110 GHz) driven by fast tuning synthesizers and active multipliers. Both of these advanced millimeter-wave imaging diagnostic systems have applied the latest techniques. A novel design philosophy “general optics structure” has been employed for the design of the ECEI and MIR receiver optics with large aperture. The extended radial and poloidal coverage of ECEI on EAST is made possible by innovations in the design of front-end optics. The front-end optical structures of the two imaging diagnostics, ECEI and MIR, have been integrated into a compact system, including the ECEI receiver and MIR transmitter and receiver. Two imaging systems share the same mid-plane port for simultaneous, co-located 2D fluctuation measurements of electron density and temperature. An intelligent remote-control is utilized in the MIR electronics systems to maintain focusing at the desired radial region even with density variations by remotely tuning the probe frequencies in about 200 μs. A similar intelligent technique has also been applied on the ECEI IF system, with remote configuration of the attenuations for each channel.

Priming Ability Emotional Intelligence

Science.gov (United States)

Schutte, Nicola S.; Malouff, John M.

2012-01-01

Two studies examined whether priming self-schemas relating to successful emotional competency results in better emotional intelligence performance. In the first study participants were randomly assigned to a successful emotional competency self-schema prime condition or a control condition and then completed an ability measure of emotional…

Self Diagnostic Adhesive for Bonded Joints in Aircraft Structures

Science.gov (United States)

2016-10-04

validated under the fatigue /dynamic loading condition. 3) Both SEM (Spectral Element Modeling) and FEM (Finite Element Modeling) simulation of the...between input voltage and output charge provide the real and imaginary impedance as illustrated in Figure 3. (a) Adhesive + plate (ΩS) PZT (ΩP...3 m m 0.45mm Adhesive 3.18mm dia. PZT disc (0.25mm thick) 8 Self-Diagnostic Adhesive for Bonded Joints in Aircraft Structures

Quality of information accompanying on-line marketing of home diagnostic tests.

Science.gov (United States)

Datta, Adrija K; Selman, Tara J; Kwok, Tony; Tang, Teresa; Khan, Khalid S

2008-01-01

To assess the quality of information provided to consumers by websites marketing medical home diagnostic tests. A cross-sectional analysis of a database developed from searching targeted websites. Data sources were websites written in English which marketed medical home diagnostic tests. A meta-search engine was used to identify the first 20 citations for each type of home diagnostic medical test. Relevant websites limited to those written in English were reviewed independently and in triplicate, with disputes resolved by two further reviewers. Information on the quality of these sites was extracted using a pre-piloted performer. 168 websites were suitable for inclusion in the review. The quality of these sites showed marked variation. Only 24 of 168 (14.2%) complied with at least three-quarters of the quality items and just over half (95 of 168, 56.5%) reported official approval or certification of the test. Information on accuracy of the test marketed was reported by 87 of 168 (51.7%) websites, with 15 of 168 (8.9%) providing a scientific reference. Instructions for use of the product were found in 97 of 168 (57.9%). However, the course of action to be taken after obtaining the test result was stated in only 63 of 168 (37.5%) for a positive result and 43 of 168 (25.5%) for a negative result. The quality of information posted on commercial websites marketing home tests online is unsatisfactory and potentially misleading for consumers.

Self Diagnostic Accelerometer Ground Testing on a C-17 Aircraft Engine

Science.gov (United States)

Tokars, Roger P.; Lekki, John D.

2013-01-01

The self diagnostic accelerometer (SDA) developed by the NASA Glenn Research Center was tested for the first time in an aircraft engine environment as part of the Vehicle Integrated Propulsion Research (VIPR) program. The VIPR program includes testing multiple critical flight sensor technologies. One such sensor, the accelerometer, measures vibrations to detect faults in the engine. In order to rely upon the accelerometer, the health of the accelerometer must be ensured. Sensor system malfunction is a significant contributor to propulsion in flight shutdowns (IFSD) which can lead to aircraft accidents when the issue is compounded with an inappropriate crew response. The development of the SDA is important for both reducing the IFSD rate, and hence reducing the rate at which this component failure type can put an aircraft in jeopardy, and also as a critical enabling technology for future automated malfunction diagnostic systems. The SDA is a sensor system designed to actively determine the accelerometer structural health and attachment condition, in addition to making vibration measurements. The SDA uses a signal conditioning unit that sends an electrical chirp to the accelerometer and recognizes changes in the response due to changes in the accelerometer health and attachment condition. In an effort toward demonstrating the SDAs flight worthiness and robustness, multiple SDAs were mounted and tested on a C-17 aircraft engine. The engine test conditions varied from engine off, to idle, to maximum power. The two SDA attachment conditions used were fully tight and loose. The newly developed SDA health algorithm described herein uses cross correlation pattern recognition to discriminate a healthy from a faulty SDA. The VIPR test results demonstrate for the first time the robustness of the SDA in an engine environment characterized by high vibration levels.

The Profile of Adolescent’ Moral Intelligence and Practical Solution to Its Improvement Efforts

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Prasetiawan Hardi

2018-01-01

Full Text Available High moral quality is needed by adolescent to be success in their personal and educational life. Those who have high morale quality can be considered as morally intelligent Individuals. This study is aimed to collect information about adolescents’ moral intelligent by using moral intelligence Instrument that consists of seven aspects, empathy, self control, conscience, respect, kindness, tolerance dan fairness, furthermore, alternative solution is given to improve their moral intelligence. Subject of this study was selected through simple random sampling. Based on the result of the survey, it was found that students in a State Junior high school in Yogyakarta have 69% moral intelligence percentage. In other words, they have medium moral Intelligence. Adolescents’ moral quality develops through continuous process in their life. One of many methods that can be done to improve moral intelligence is guidance and counseling service, in specific, group counseling with self- management technique.

Active Probing Feedback based Self Configurable Intelligent Distributed Antenna System

DEFF Research Database (Denmark)

Kumar, Ambuj

collectively as Place Time Coverage & Capacity (PTC2). The dissertation proves through the concept of the PTC2 that the network performance can severely be degraded by the excessive and unrealistic site demands, the network management inefficiency, and the consequence of the accumulation of subscribers...... challenge through a viable solution that is based on injecting intelligence and services in parallel layers through a Distributed Antenna Systems (DAS) network. This approach would enable the remote sites to acquire intelligence and a resource pool at the same time, thereby managing the network dynamics...... promptly and aptly to absorb the PTC2 wobble. An Active Probing Management System (APMS) is proposed as a supporting architecture, to assist the intelligent system to keep a check on the variations at each and every site by either deploying the additional antenna or by utilising the service antenna...

Emotional intelligence and job performance: The role of enactment and focus on others’ emotions

NARCIS (Netherlands)

Pekaar, K.A. (Keri A.); D. van der Linden (Dimitri); A.B. Bakker (Arnold); M.Ph. Born (Marise)

2017-01-01

textabstractThe link between emotional intelligence (EI) and job performance was examined focusing on the interplay between self- and other-focused EI dimensions. Two diary studies were conducted among divorce lawyers and salespersons. We adopted a two-level perspective including individual

Beyond AI: Multi-Intelligence (MI Combining Natural and Artificial Intelligences in Hybrid Beings and Systems

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Stephen Fox

2017-06-01

Full Text Available Framing strongly influences actions among technology proponents and end-users. Underlying much debate about artificial intelligence (AI are several fundamental shortcomings in its framing. First, discussion of AI is atheoretical, and therefore has limited potential for addressing the complexity of causation. Second, intelligence is considered from an anthropocentric perspective that sees human intelligence, and intelligence developed by humans, as superior to all other intelligences. Thus, the extensive post-anthropocentric research into intelligence is not given sufficient consideration. Third, AI is discussed often in reductionist mechanistic terms. Rather than in organicist emergentist terms as a contributor to multi-intelligence (MI hybrid beings and/or systems. Thus, current framing of AI can be a self-validating reduction within which AI development is focused upon AI becoming the single-variable mechanism causing future effects. In this paper, AI is reframed as a contributor to MI.

International Conference on Computational Intelligence 2015

CERN Document Server

Saha, Sujan

2017-01-01

This volume comprises the proceedings of the International Conference on Computational Intelligence 2015 (ICCI15). This book aims to bring together work from leading academicians, scientists, researchers and research scholars from across the globe on all aspects of computational intelligence. The work is composed mainly of original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human-machine interaction, computational intelligence for the web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross disciplinary topics and applications. The contents of this volume will be of use to researchers and professionals alike....

Integration of artificial intelligence systems for nuclear power plant surveillance and diagnostics

International Nuclear Information System (INIS)

Uhrig, R.E.; Hines, J.W.; Nelson, W.R.

1998-01-01

The objective of this program is to design, construct, operate, test, and evaluate a prototype integrated monitoring and diagnostic system for a nuclear power plant. It is anticipated that this technology will have wide application to other complex systems (e.g., fossil power plants, chemical processing plants, and possibly air traffic control systems). Over the past decade, the University of Tennessee (UT) and others have carried out many projects utilizing various methodologies of artificial intelligence (expert systems, neural networks, fuzzy systems, and genetic algorithms) to enhance the performance (safety, efficiency, reliability, and availability) of nuclear power plants. Investigations and studies have included a) instrumentation surveillance and calibration validation, b) inferential sensing to calibration of feedwater venturi flow during fouling, c) thermodynamic performance modeling with iterative improvement of plant beat rate, d) diagnosis of nuclear power plant transients, and e) increase in thermal power through monitoring of DNBR (Departure from Nucleate Boiling Regime). To increase the likelihood of these individual systems being used in a nuclear power plant, they must be integrated into a single system that operates virtually autonomously, collecting, interpreting, and providing information to the operators in a simple and understandable format. (author)

Integration of artificial intelligence systems for nuclear power plant surveillance and diagnostics

Energy Technology Data Exchange (ETDEWEB)

Uhrig, R.E.; Hines, J.W.; Nelson, W.R.

1998-07-01

The objective of this program is to design, construct, operate, test, and evaluate a prototype integrated monitoring and diagnostic system for a nuclear power plant. It is anticipated that this technology will have wide application to other complex systems (e.g., fossil power plants, chemical processing plants, and possibly air traffic control systems). Over the past decade, the University of Tennessee (UT) and others have carried out many projects utilizing various methodologies of artificial intelligence (expert systems, neural networks, fuzzy systems, and genetic algorithms) to enhance the performance (safety, efficiency, reliability, and availability) of nuclear power plants. Investigations and studies have included a) instrumentation surveillance and calibration validation, b) inferential sensing to calibration of feedwater venturi flow during fouling, c) thermodynamic performance modeling with iterative improvement of plant beat rate, d) diagnosis of nuclear power plant transients, and e) increase in thermal power through monitoring of DNBR (Departure from Nucleate Boiling Regime). To increase the likelihood of these individual systems being used in a nuclear power plant, they must be integrated into a single system that operates virtually autonomously, collecting, interpreting, and providing information to the operators in a simple and understandable format. (author)

Intelligence, Academic Self-Concept, and Information Literacy: The Role of Adequate Perceptions of Academic Ability in the Acquisition of Knowledge about Information Searching

Science.gov (United States)

Rosman, Tom; Mayer, Anne-Kathrin; Krampen, Günter

2015-01-01

Introduction: The present paper argues that adequate self-perceptions of academic ability are essential for students' realization of their intellectual potential, thereby fostering learning of complex skills, e.g., information-seeking skills. Thus, academic self-concept should moderate the relationship between intelligence and information…

Nuclear power plant monitoring and fault diagnosis methods based on the artificial intelligence technique

International Nuclear Information System (INIS)

Yoshikawa, S.; Saiki, A.; Ugolini, D.; Ozawa, K.

1996-01-01

The main objective of this paper is to develop an advanced diagnosis system based on the artificial intelligence technique to monitor the operation and to improve the operational safety of nuclear power plants. Three different methods have been elaborated in this study: an artificial neural network local diagnosis (NN ds ) scheme that acting at the component level discriminates between normal and abnormal transients, a model-based diagnostic reasoning mechanism that combines a physical causal network model-based knowledge compiler (KC) that generates applicable diagnostic rules from widely accepted physical knowledge compiler (KC) that generates applicable diagnostic rules from widely accepted physical knowledge. Although the three methods have been developed and verified independently, they are highly correlated and, when connected together, form a effective and robust diagnosis and monitoring tool. (authors)

Artificial intelligence and synthetic biology: A tri-temporal contribution.

Science.gov (United States)

Bianchini, Francesco

2016-10-01

Artificial intelligence can make numerous contributions to synthetic biology. I would like to suggest three that are related to the past, present and future of artificial intelligence. From the past, works in biology and artificial systems by Turing and von Neumann prove highly interesting to explore within the new framework of synthetic biology, especially with regard to the notions of self-modification and self-replication and their links to emergence and the bottom-up approach. The current epistemological inquiry into emergence and research on swarm intelligence, superorganisms and biologically inspired cognitive architecture may lead to new achievements on the possibilities of synthetic biology in explaining cognitive processes. Finally, the present-day discussion on the future of artificial intelligence and the rise of superintelligence may point to some research trends for the future of synthetic biology and help to better define the boundary of notions such as "life", "cognition", "artificial" and "natural", as well as their interconnections in theoretical synthetic biology. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Fielding of the on-axis diagnostic package at Z

International Nuclear Information System (INIS)

Hurst, M.J.; Nash, T.J.; Derzon, M.; Kellogg, J.W.; Torres, J.; McGurn, J.; Seaman, J.; Jobe, D.; Lazier, S.E.

1998-06-01

The authors have developed a comprehensive diagnostic package for observing z-pinch radiation along the pinch axis on the Z accelerator. The instrumentation, which was fielded on the axial package, are x-ray diagnostics requiring direct lines of sight to the target. The diagnostics require vacuum access to the center of the accelerator. The environment is a hostile one, where one must deal with an intense, energetic photon flux (>100 keV), EMP, debris (e.g. bullets or shrapnel), and mechanical shock in order for the diagnostics to survive. In addition, practical constraints require the package be refurbished and utilized on a once a day shot schedule. In spite of this harsh environment, the authors have successfully fielded the diagnostic package with a high survivability of the data and the instruments. In this paper, they describe the environment and issues related to the re-entrant diagnostic package's implementation and maintenance

Model Predictive Controller for Active Demand Side Management with PV Self-consumption in an Intelligent Building

DEFF Research Database (Denmark)

Zong, Yi; Mihet-Popa, Lucian; Kullmann, Daniel

2012-01-01

This paper presents a Model Predictive Controller (MPC) for electrical heaters’ predictive power consumption including maximizing the use of local generation (e.g. solar power) in an intelligent building. The MPC is based on dynamic power price and weather forecast, considering users’ comfort...... settings to meet an optimization objective such as minimum cost and minimum reference temperature error. It demonstrates that this MPC strategy can realize load shifting, and maximize the PV self-consumption in the residential sector. With this demand side control study, it is expected that MPC strategy...

Emotional intelligence, emotional labor, and job satisfaction among physicians in Greece

Directory of Open Access Journals (Sweden)

Psilopanagioti Aristea

2012-12-01

Full Text Available Abstract Background There is increasing evidence that psychological constructs, such as emotional intelligence and emotional labor, play an important role in various organizational outcomes in service sector. Recently, in the “emotionally charged” healthcare field, emotional intelligence and emotional labor have both emerged as research tools, rather than just as theoretical concepts, influencing various organizational parameters including job satisfaction. The present study aimed at investigating the relationships, direct and/or indirect, between emotional intelligence, the surface acting component of emotional labor, and job satisfaction in medical staff working in tertiary healthcare. Methods Data were collected from 130 physicians in Greece, who completed a series of self-report questionnaires including: a the Wong Law Emotional Intelligence Scale, which assessed the four dimensions of emotional intelligence, i.e. Self-Emotion Appraisal, Others’ Emotion Appraisal, Use of Emotion, and Regulation of Emotion, b the General Index of Job Satisfaction, and c the Dutch Questionnaire on Emotional Labor (surface acting component. Results Emotional intelligence (Use of Emotion dimension was significantly and positively correlated with job satisfaction (r=.42, p, whereas a significant negative correlation between surface acting and job satisfaction was observed (r=−.39, p. Furthermore, Self-Emotion Appraisal was negatively correlated with surface acting (r=−.20, p. Self-Emotion Appraisal was found to influence job satisfaction both directly and indirectly through surface acting, while this indirect effect was moderated by gender. Apart from its mediating role, surface acting was also a moderator of the emotional intelligence-job satisfaction relationship. Hierarchical multiple regression analysis revealed that surface acting could predict job satisfaction over and above emotional intelligence dimensions. Conclusions The results of the present