Computing Active Power Losses Using a Mathematical Model of a Regulated Street Luminaire

Directory of Open Access Journals (Sweden)

Roman Sikora

2018-05-01

Full Text Available Before the use of regulated street luminaires with variable power and luminous flux, computations were performed using constant values for their electrical and photometric parameters. At present, where such lighting is in use, it is no longer possible to base calculations on such assumptions. Computations of energy and power losses, for example, need to be performed for all dimming levels and based on the applied regulation algorithm. Based on measurements carried out on regulated luminaires, it was found that certain electrical parameters have a nonlinear dependence on the dimming level. Electrical parameters were also observed to depend on the value of the supply voltage. The results of the measurements are presented in this article. Failure to take account of power losses in computations of the energy efficiency of street lighting in accordance with the applicable EN 13201 standard causes values of energy efficiency indicators to be overstated. Power loss computations are presented in this article for a sample street lighting system with regulated luminaires, for the whole range of dimming levels and additionally for fluctuations of ±10% in the supply voltage. In addition, a mathematical model of a regulated luminaire is constructed with the use of regression methods, and a practical application of that model is described.

Generalized nonimaging compound elliptical and compound hyperbolic luminaire designs for pair-overlap illumination applications.

Science.gov (United States)

Georlette, O; Gordon, J M

1994-07-01

Generalized nonimaging compound elliptical luminaires (CEL's) and compound hyperbolic luminaires (CHL's) are developed for pair-overlap illumination applications. A comprehensive analysis of CEL's and CHL's is presented. This includes the possibility of reflector truncation, as well as the extreme direction that spans the full range from positive to negative. Negative extreme direction devices have been overlooked in earlier studies and are shown to be well suited to illumination problems for which large cutoff angles are required. Flux maps can be calculated analytically without the need for computer ray tracing. It is demonstrated that, for a broad range of cutoff angles, adjacent pairs of CEL's and CHL's can generate highly uniform far-field illuminance while maintaining maximal lighting efficiency and excellent glare control. The trade-off between luminaire compactness and flux homogeneity is also illustrated. For V troughs, being a special case of CHL's and being well suited to simple, inexpensive fabri ation, we identify geometries that closely approach the performance characteristics of the optimized CEL's and CHL's.

Prognostics of damage accural in SSL luminaires and drivers subjected to HTSL accelerated aging

Energy Technology Data Exchange (ETDEWEB)

Lall, Pradeep [Auburn Univ., AL (United States); Sakalaukus, Peter [Auburn Univ., AL (United States); Davis, Lynn [RTI International, Research Triangle Park, NC (United States)

2013-07-16

This paper will show an investigation of off-the-shelf luminaires with the focus on the LED electronic drivers, specifically the aluminum electrolytic capacitors (AECs), that have been aged using high temperature shelf life (HTSL) testing of 135°C in order to prognosticate the remaining useful life of the luminaires. Luminaires have the potential of seeing excessive temperatures when being transported across country or being stored in non-climate controlled warehouses. They are also being used in outdoor applications in desert environments that see little or no humidity but will experience extremely high temperatures during the day. This makes it important to increase our understanding of what effects being stored at high temperatures for a prolonged period of time will have on the usability and survivability of these devices. The U.S. Department of Energy has made a long term commitment to advance the efficiency, understanding and development of solid-state lighting (SSL) and is making a strong push for the acceptance and use of SSL products. In this work, the four AECs of three different types inside each LED electronic driver were studied. The change in capacitance and the change in equivalent series resistance (ESR) of the AECs were measured and considered to be a leading indication of failure of the LED system. These indicators were used to make remaining useful life predictions to develop an algorithm to predict the end of life of the AECs. The luminous flux of a pristine downlight module was also monitored using each LED electronic driver that was subjected to HTSL through the progression of the testing to determine a correlation between the light output of the lamp and the failing components of the LED electronic driver. Prognostic and Health Management (PHM) is a useful tool for assessment of the remaining life of electrical components and is demonstrated for AECs in this work.

Intelligent Integrated System Health Management

Science.gov (United States)

Figueroa, Fernando

2012-01-01

Intelligent Integrated System Health Management (ISHM) is the management of data, information, and knowledge (DIaK) with the purposeful objective of determining the health of a system (Management: storage, distribution, sharing, maintenance, processing, reasoning, and presentation). Presentation discusses: (1) ISHM Capability Development. (1a) ISHM Knowledge Model. (1b) Standards for ISHM Implementation. (1c) ISHM Domain Models (ISHM-DM's). (1d) Intelligent Sensors and Components. (2) ISHM in Systems Design, Engineering, and Integration. (3) Intelligent Control for ISHM-Enabled Systems

An Architectural Modelfor Intelligent Network Management

Institute of Scientific and Technical Information of China (English)

罗军舟; 顾冠群; 费翔

2000-01-01

Traditional network management approach involves the management of each vendor's equipment and network segment in isolation through its own proprietary element management system. It is necessary to set up a new network management architecture that calls for operation consolidation across vendor and technology boundaries. In this paper, an architectural model for Intelligent Network Management (INM) is presented. The INM system includes a manager system, which controls all subsystems and coordinates different management tasks; an expert system, which is responsible for handling particularly difficult problems, and intelligent agents, which bring the management closer to applications and user requirements by spreading intelligent agents through network segments or domain. In the expert system model proposed, especially an intelligent fault management system is given.The architectural model is to build the INM system to meet the need of managing modern network systems.

Management Intelligent Systems : First International Symposium

CERN Document Server

Martínez-López, Francisco; Rodríguez, Juan

2012-01-01

The 2012 International Symposium on Management Intelligent Systems is believed to be the first international forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; i.e., what we propose to be named as Management Intelligent Systems (MiS). The three-day event aimed to bring together researchers interested in this promising interdisciplinary field who came from areas as varied as management, marketing, and business in general, computer science, artificial intelligence, statistics, etc. This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service person...

Normalizing difference: Emotional intelligence and diversity management competence in healthcare managers

Directory of Open Access Journals (Sweden)

Adebukola E. Oyewunmi

2018-05-01

Full Text Available Purpose: Diversity is synonymous with difference. The diverse workforce presents an array of complexities which necessitates the deployment of specific managerial competencies. Empirical evidences have indicated the role of emotional intelligence in the enhancement of abilities. Thus, this study investigated the relationship between emotional intelligence and diversity management competency amongst healthcare managers in Southwest Nigeria.  Design: The descriptive survey method was adopted for the study. A total of 360 respondents completed the structured questionnaire titled Emotional Intelligence and Diversity Management Competency Questionnaire (EIDMCQ. Data was analyzed using descriptive and inferential statistics such as, Multiple Regression Analyses and Pearson Product Moment Correlation Statistical methods.  Findings: A positive correlation was found between emotional intelligence and diversity management competency. Gender, ethnicity, and age, did not moderate the relationship between emotional intelligence and diversity management competency.  Practical Implications: As difference is the reality of modern organizations, it is important to conceptualize it as normal and positive. Emotional intelligence is recommended as a critical tool to normalize the individual perceptions of difference. The re-assessment of the functions of managers must be followed by total commitment to capacity building in emotional intelligence, as well as the re-engineering of organizational and national cultures to promote equal opportunities, inclusion and diversity leveraging.  Originality/value: This study pioneers research on emotional intelligence and diversity management competency in Nigeria’s public healthcare sector. It conceptualizes diversity management on an individual- managerial level. Practical interventions are provided to enhance the application of specific competencies to optimize a diverse workplace.

High Performance OLED Panel and Luminaire

Energy Technology Data Exchange (ETDEWEB)

Spindler, Jeffrey [OLEDWorks LLC, Rochester, NY (United States)

2017-02-20

In this project, OLEDWorks developed and demonstrated the technology required to produce OLED lighting panels with high energy efficiency and excellent light quality. OLED panels developed in this program produce high quality warm white light with CRI greater than 85 and efficacy up to 80 lumens per watt (LPW). An OLED luminaire employing 24 of the high performance panels produces practical levels of illumination for general lighting, with a flux of over 2200 lumens at 60 LPW. This is a significant advance in the state of the art for OLED solid-state lighting (SSL), which is expected to be a complementary light source to the more advanced LED SSL technology that is rapidly replacing all other traditional forms of lighting.

Study of system dynamics model and control of a high-power LED lighting luminaire

International Nuclear Information System (INIS)

Huang, B.-J.; Hsu, P.-C.; Wu, M.-S.; Tang, C.-W.

2007-01-01

The purpose of the present study is to design a current control system which is robust to the system dynamics uncertainty and the disturbance of ambient temperature to assure a stable optical output property of LED. The system dynamics model of the LED lighting system was first derived. A 96 W high-power LED luminaire was designed and built in the present study. The linearly perturbed system dynamics model for the LED luminaire is derived experimentally. The dynamics model of LED lighting system is of a multiple-input-multiple-output (MIMO) system with two inputs (applied voltage and ambient temperature) and two outputs (forward current and heat conducting body temperature). A step response test method was employed to the 96 W LED luminaire to identify the system dynamics model. It is found that the current model is just a constant gain (resistance) and the disturbance model is of first order, both changing with operating conditions (voltage and ambient temperature). A feedback control system using PI algorithm was designed using the results of the system dynamics model. The control system was implemented on a PIC microprocessor. Experimental results show that the control system can stably and accurately control the LED current to a constant value at the variation of ambient temperature up to 40 o C. The control system is shown to have a robust property with respect to the plant uncertainty and the ambient temperature disturbance

Luminaire layout: Design and implementation

Science.gov (United States)

Both, A. J.

1994-01-01

The information contained in this report was presented during the discussion regarding guidelines for PAR uniformity in greenhouses. The data shows a lighting uniformity analysis in a research greenhouse for rose production at the Cornell University campus. The luminaire layout was designed using the computer program Lumen-Micro. After implementation of the design, accurate measurements were taken in the greenhouse and the uniformity analysis for both the design and implementation were compared. A study of several supplemental lighting installations resulted in the following recommendations: include only the actual growing area in the lighting uniformity analysis; for growing areas up to 20 square meters, take four measurements per square meter; for growing areas above 20 square meters, take one measurement per square meter; use one of the uniformity criteria and frequency graphs to compare lighting uniformity amongst designs; and design for uniformity criterion of a least 0.75 and the fraction within +/- 15% of the average PAR value should be close to one.

Intelligence Community Programs, Management, and Enduring Issues

Science.gov (United States)

2016-11-08

books, journal papers, conference presentations, working papers, and other electronic and print publications. Intelligence Community Programs... Intelligence Community Programs, Management, and Enduring Issues Anne Daugherty Miles Analyst in Intelligence and National Security Policy...

A measurement model of multiple intelligence profiles of management graduates

Science.gov (United States)

Krishnan, Heamalatha; Awang, Siti Rahmah

2017-05-01

In this study, developing a fit measurement model and identifying the best fitting items to represent Howard Gardner's nine intelligences namely, musical intelligence, bodily-kinaesthetic intelligence, mathematical/logical intelligence, visual/spatial intelligence, verbal/linguistic intelligence, interpersonal intelligence, intrapersonal intelligence, naturalist intelligence and spiritual intelligence are the main interest in order to enhance the opportunities of the management graduates for employability. In order to develop a fit measurement model, Structural Equation Modeling (SEM) was applied. A psychometric test which is the Ability Test in Employment (ATIEm) was used as the instrument to measure the existence of nine types of intelligence of 137 University Teknikal Malaysia Melaka (UTeM) management graduates for job placement purposes. The initial measurement model contains nine unobserved variables and each unobserved variable is measured by ten observed variables. Finally, the modified measurement model deemed to improve the Normed chi-square (NC) = 1.331; Incremental Fit Index (IFI) = 0.940 and Root Mean Square of Approximation (RMSEA) = 0.049 was developed. The findings showed that the UTeM management graduates possessed all nine intelligences either high or low. Musical intelligence, mathematical/logical intelligence, naturalist intelligence and spiritual intelligence contributed highest loadings on certain items. However, most of the intelligences such as bodily kinaesthetic intelligence, visual/spatial intelligence, verbal/linguistic intelligence interpersonal intelligence and intrapersonal intelligence possessed by UTeM management graduates are just at the borderline.

Software for Intelligent System Health Management

Science.gov (United States)

Trevino, Luis C.

2004-01-01

This viewgraph presentation describes the characteristics and advantages of autonomy and artificial intelligence in systems health monitoring. The presentation lists technologies relevant to Intelligent System Health Management (ISHM), and some potential applications.

Intelligent techniques in engineering management theory and applications

CERN Document Server

Onar, Sezi

2015-01-01

This book presents recently developed intelligent techniques with applications and theory in the area of engineering management. The involved applications of intelligent techniques such as neural networks, fuzzy sets, Tabu search, genetic algorithms, etc. will be useful for engineering managers, postgraduate students, researchers, and lecturers. The book has been written considering the contents of a classical engineering management book but intelligent techniques are used for handling the engineering management problem areas. This comprehensive characteristics of the book makes it an excellent reference for the solution of complex problems of engineering management. The authors of the chapters are well-known researchers with their previous works in the area of engineering management.

Using business intelligence to manage supply costs.

Science.gov (United States)

Bunata, Ernest

2013-08-01

Business intelligence tools can help materials managers and managers in the operating room and procedural areas track purchasing costs more precisely and determine the root causes of cost increases. Data can be shared with physicians to increase their awareness of the cost of physician preference items. Proper use of business intelligence goes beyond price benchmarking to manage price performance over time.

Next Generation Luminaire (NGL) Downlight Demonstration Project, Hilton Columbus Downtown

Energy Technology Data Exchange (ETDEWEB)

Davis, R. G. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Perrin, T. E. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

2014-09-30

At the Hilton Columbus Downtown hotel in Ohio, DOE's Better Buildings Alliance conducted a demonstration of Next Generation Luminaires-winning downlights installed in all guest rooms and suites prior to the hotel's 2012 opening. After a post-occupancy assessment, the LED downlights not only provided the aesthetic appearance and dimming functionality desired, but also provided 50% energy savings relative to a comparable CFL downlight and enabled the lighting power to be more than 20% below that allowed by code.

Trilateral interlaboratory with SSL (WLEDi) luminaire

Science.gov (United States)

Burini Junior, E. C.; Santos, E. R.; Assaf, L. O.

2018-03-01

The IEE/USP laboratory and two others, all belonging to RBLE (Brazilian Network of Test Laboratories) participated in a trilateral comparison performed from measurement independently of participants interaction. The results from electric and photometric measurements carried out on samples of Solid State Lighting - SSL, Inorganic White Light Emitting Diode (WLEDi) luminaires by three accredited laboratories were considered in order to point out mutual deviations and to verify the confidence in a bilateral comparison. The first analysis revealed a maximum deviation of 4.2 % between the luminous intensity attributed by one laboratory and the arithmetic mean value from three laboratories. The largest standard uncertainty value of 1.9 % was estimated for Total Harmonic Distortion of electric current THDi and the lowest value, 0.4 %, to the luminous flux. The extreme deviation for one parameter results was 7.2 % at maximum luminous intensity and the lowest was 1.7 % for luminous flux.

Analytical, Practical and Emotional Intelligence and Line Manager Competencies

Directory of Open Access Journals (Sweden)

Anna Baczyńska

2015-12-01

Full Text Available Purpose: The research objective was to examine to what extent line manager competencies are linked to intelligence, and more specifically, three types of intelligence: analytical (fluid, practical and emotional. Methodology: The research was carried out with line managers (N=98 who took part in 12 Assessment Centre sessions and completed tests measuring analytical, practical and emotional intelligence. The adopted hypotheses were tested using a multiple regression. In the regression model, the dependent variable was a managerial competency (management and striving for results, social skills, openness to change, problem solving, employee development and the explanatory variables were the three types of intelligence. Five models, each for a separate management competency, were tested in this way. Findings: In the study, it was hypothesized that practical intelligence relates to procedural tacit knowledge and is the strongest indicator of managerial competency. Analysis of the study results testing this hypothesis indicated that practical intelligence largely accounts for the level of competency used in managerial work (from 21% to 38%. The study findings suggest that practical intelligence is a better indicator of managerial competencies among line managers than traditionally measured IQ or emotional intelligence. Originality: This research fills an important gap in the literature on the subject, indicating the links between major contemporary selection indicators (i.e., analytical, practical and emotional intelligence and managerial competencies presented in realistic work simulations measured using the Assessment Centre process.

Intelligent decision making in quality management theory and applications

CERN Document Server

Yanık, Seda

2016-01-01

  This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.  .

Strategic Management Model with Lens of Knowledge Management and Competitive Intelligence: A Review Approach

OpenAIRE

Shujahat, Muhammad; Hussain, Saddam; Javed, Sammar; Muhammad, Imran Malik; Thursamy, Ramayah; Ali, Junaid

2017-01-01

Purpose:\\ud First purpose of this study is to discuss the synergic and separate use of knowledge and\\ud intelligence, via knowledge management and competitive intelligence, in each stage of strategic\\ud management process. Second purpose is to discuss the implications of each stage of strategic\\ud management process for knowledge management and competitive intelligence and vice versa.\\ud Methodology/Design/Approach:\\ud A systematic literature review was performed within timeframe of 2000 to 2...

Assessment of LED Technology in Ornamental Post-Top Luminaires (Host Site: Sacramento, CA)

Energy Technology Data Exchange (ETDEWEB)

Tuenge, Jason R.

2011-12-01

The DOE Municipal Solid-State Street Lighting Consortium has evaluated four different LED replacements for existing ornamental post-top street lights in Sacramento, California. The project team was composed of the City and its consultant, PNNL (representing the Consortium), and the Sacramento Municipal Utility District. Product selection was finalized in March 2011, yielding one complete luminaire replacement and three lamp-ballast retrofit kits. Computer simulations, field measurements, and laboratory testing were performed to compare the performance and cost-effectiveness of the LED products relative to the existing luminaire with 100 W high-pressure sodium lamp. After it was confirmed the LED products were not equivalent to HPS in terms of initial photopic illumination, the following parameters were scaled proportionally to enable equitable (albeit hypothetical) comparisons: light output, input wattage, and pricing. Four replacement scenarios were considered for each LED product, incorporating new IES guidance for mesopic multipliers and lumen maintenance extrapolation, but life cycle analysis indicated cost effectiveness was also unacceptable. Although LED efficacy and pricing continue to improve, this project serves as a timely and objective notice that LED technology may not be quite ready yet for such applications.

An Intelligent Alternative Approach to the efficient Network Management

Directory of Open Access Journals (Sweden)

MARTÍN, A.

2012-12-01

Full Text Available Due to the increasing complexity and heterogeneity of networks and services, many efforts have been made to develop intelligent techniques for management. Network intelligent management is a key technology for operating large heterogeneous data transmission networks. This paper presents a proposal for an architecture that integrates management object specifications and the knowledge of expert systems. We present a new approach named Integrated Expert Management, for learning objects based on expert management rules and describe the design and implementation of an integrated intelligent management platform based on OSI and Internet management models. The main contributions of our approach is the integration of both expert system and managed models, so we can make use of them to construct more flexible intelligent management network. The prototype SONAP (Software for Network Assistant and Performance is accuracy-aware since it can control and manage a network. We have tested our system on real data to the fault diagnostic in a telecommunication system of a power utility. The results validate the model and show a significant improvement with respect to the number of rules and the error rate in others systems.

All-source Information Management and Integration for Improved Collective Intelligence Production

Science.gov (United States)

2011-06-01

Intelligence (ELINT) • Open Source Intelligence ( OSINT ) • Technical Intelligence (TECHINT) These intelligence disciplines produce... intelligence , measurement and signature intelligence , signals intelligence , and open - source data, in the production of intelligence . All- source intelligence ...All- Source Information Integration and Management) R&D Project 3 All- Source Intelligence

The relationship between emotional intelligence and stress management

Directory of Open Access Journals (Sweden)

Saras Ramesar

2009-05-01

Full Text Available Regardless of where one lives in the world, one cannot escape three defi ning forces of our time: globalisation, the information revolution and the speed of change (Cascio, 2001. To ensure continued organisational performance and to maintain the competitive advantage, organisations must therefore constantly implement changes in strategy, structure, process and culture (Higgs, 2002; Langley, 2000. Goleman (1998 proposes a solution of self-awareness as a key skill in handling stress, thereby indicating that a lack of emotional intelligence in such an unstable environment means possible failure that can impact on everyone’s future. The general aim of this research was to determine whether there is a relationship between emotional intelligence and stress management in a group of managers. This was done through a quantitative study of the relationship between stress management and emotional intelligence. These constructs were operationalised by means of a combination of scales present in the Feelings and Emotions domain of the Occupational Personality Questionnaire (OPQ32i and the Emotional Quotient Inventory (Bar-On EQ-i. The correlation and regression results seem to indicate that stress management (the ability to cope with stress is a component of emotional intelligence, while stress can be either an input or an outflow of emotional intelligence or the lack thereof.

Emotional Intelligence and Transformational Leadership in Physical Education Managers

Directory of Open Access Journals (Sweden)

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.

Leadership vs. Management From Competitive Intelligence Perspective

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Valeriu Ivan

2015-05-01

Full Text Available This paper brings into attention a less studies topic: the analysis and intelligence productionspecificity – as competitive intelligence process stage – given that the beneficiary is practicing classic management or leadership. The contextualization of the issue imposed us to separate the two concepts from the current debates perspective regarding the relationship between management and leadership. We did this in respect of the competition and competitiveness. Although that report is not clearly and definitively established, we tried to identify the main characteristics and essential differences in the approach of the actionable information needs. The obtained results were correlated with the competitive intelligence cycle stages, in order to identify the approach similarities and differences for each stage. Subsequently, we suggested models of possible approaches in the information analysis and intelligence production activity in order for the resulted informational product to fulfil their role as decision support in competitiveness augmenting.

Role of Emotional Intelligence in Conflict Management Strategies of Nurses.

Science.gov (United States)

Başoğul, Ceyda; Özgür, Gönül

2016-09-01

This study analyzes the emotional intelligence levels and conflict management strategies of nurses and the association between them. This cross-sectional, descriptive study was conducted with 277 nurses in a stratified random sample from a university hospital in Turkey. The data were collected from nurses who gave their informed consent to participate using a personal information form, the Rahim Organizational Conflict Inventory-II and Bar-On's Emotional Quotient Inventory (EQ-I). Data were assessed by descriptive statistics, t tests, and Pearson correlation analyses, using SPSS software. The levels of the nurses' strategies were as follows: avoiding (M = 2.98), dominating (M = 2.76), and obliging (M = 2.71) were medium; compromising (M = 1.99) and integration (M = 1.96) were low. The levels of the emotional intelligence of nurses (mean = 2.75) were medium on a 5-point scale. Integration (r = .168), obliging (r = .25), dominating (r = .18), and compromising (r = .33), which are conflict management strategies, were positively correlated with scores of emotional intelligence, and avoiding (r = -.25) was negatively correlated with scores of emotional intelligence (p emotional intelligence affects conflict management strategies. To use effective strategies in conflict management, nurses must develop emotional intelligence. Training programs on conflict management and emotional intelligence are needed to improve effective conflict management in healthcare facilities. Copyright © 2016. Published by Elsevier B.V.

The role of cultural intelligence of managers in promoting employees’ collaboration

Directory of Open Access Journals (Sweden)

Seyed Ali Akbar Ahmadi

2013-07-01

Full Text Available Collaboration can be a very challenging process precisely because it is a highly intense way of working, requiring new ways of thinking, behavior and ways of operating. Cultural Intelligence (CI is an antecedent for collaboration . The primary goal of this survey is to investigate the relationship between cultural intelligence of managers and their employees’ collaboration. This research is a descriptive-correlation study where 119 managers and 175 employees are selected by stratified random sampling from the Social Security organization managers and their workers. To measure cultural intelligence, the Iranian version of the cultural intelligence questionnaire is implemented and collaboration is measured using a questionnaire developed by the researcher. The Cronbach's alpha reliability coefficient respectively for cultural intelligence and collaboration questionnaires are 0.933 and 0.813, respectively, which are well above the minimum acceptable limit. Data collected using SPSS 19 and they are analyzed using LISREL 8.54 software packages. The results indicate a significant and positive relationship between cultural intelligence among managers and their employees’ collaboration. As the relationship between motivational and behavioral CI dimensions and collaboration is also determined to be positive and significant. Based on demographic factors such as gender, age and education we cannot comment on the cultural intelligence of managers and employee’s collaboration but having inter-cultural experiences has had a positive impact on the cultural intelligence of managers. Based on the findings obtained we can say that Cultural Intelligence is a key factor, influencing and determining for collaboration.

The intelligent user interface for NASA's advanced information management systems

Science.gov (United States)

Campbell, William J.; Short, Nicholas, Jr.; Rolofs, Larry H.; Wattawa, Scott L.

1987-01-01

NASA has initiated the Intelligent Data Management Project to design and develop advanced information management systems. The project's primary goal is to formulate, design and develop advanced information systems that are capable of supporting the agency's future space research and operational information management needs. The first effort of the project was the development of a prototype Intelligent User Interface to an operational scientific database, using expert systems and natural language processing technologies. An overview of Intelligent User Interface formulation and development is given.

Artificial intelligence - New tools for aerospace project managers

Science.gov (United States)

Moja, D. C.

1985-01-01

Artificial Intelligence (AI) is currently being used for business-oriented, money-making applications, such as medical diagnosis, computer system configuration, and geological exploration. The present paper has the objective to assess new AI tools and techniques which will be available to assist aerospace managers in the accomplishment of their tasks. A study conducted by Brown and Cheeseman (1983) indicates that AI will be employed in all traditional management areas, taking into account goal setting, decision making, policy formulation, evaluation, planning, budgeting, auditing, personnel management, training, legal affairs, and procurement. Artificial intelligence/expert systems are discussed, giving attention to the three primary areas concerned with intelligent robots, natural language interfaces, and expert systems. Aspects of information retrieval are also considered along with the decision support system, and expert systems for project planning and scheduling.

Management Intelligent Systems : 2nd International Symposium

CERN Document Server

Martínez-López, Francisco; Vicari, Rosa; Prieta, Fernando

2013-01-01

This symposium was born as a research forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and, preferably, with empirical applications—developed to aid the management of organizations in multiple areas, activities, processes and problem-solving; what we call Management Intelligent Systems (MiS).   This volume presents the proceedings of these activities in a collection of contributions with many original approaches. They address diverse Management and Business areas of application such as decision support, segmentation of markets, CRM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores, etc. A wide variety of AI techniques have been applied to these areas such as multi-objective optimization and evolutionary algorithms, classification algorithms, an...

Appearing smart: the impression management of intelligence, person perception accuracy, and behavior in social interaction.

Science.gov (United States)

Murphy, Nora A

2007-03-01

Intelligence is an important trait that affects everyday social interaction. The present research utilized the ecological perspective of social perception to investigate the impression management of intelligence and strangers' evaluations of targets' intelligence levels. The ability to effectively portray an impression of intelligence to outside judges as well as interaction partners was appraised and the effect of impression management on the accurate judgment of intelligence was assessed. In addition, targets' behavior was studied in relation to impression management, perceived intelligence, and actual measured intelligence. Impression-managing targets appeared more intelligent to video judges but not to their interaction partner as compared to controls. The intelligence quotient (IQ) of impression-managing targets was more accurately judged than controls' IQ. Impression-managing targets displayed distinct nonverbal behavioral patterns that differed from controls. Looking while speaking was a key behavior: It significantly correlated with IQ, was successfully manipulated by impression-managing targets, and contributed to higher perceived intelligence ratings.

Intelligent web data management software architectures and emerging technologies

CERN Document Server

Ma, Kun; Yang, Bo; Sun, Runyuan

2016-01-01

This book presents some of the emerging techniques and technologies used to handle Web data management. Authors present novel software architectures and emerging technologies and then validate using experimental data and real world applications. The contents of this book are focused on four popular thematic categories of intelligent Web data management: cloud computing, social networking, monitoring and literature management. The Volume will be a valuable reference to researchers, students and practitioners in the field of Web data management, cloud computing, social networks using advanced intelligence tools.

Business Intelligence in Hospital Management.

Science.gov (United States)

Escher, Achim; Hainc, Nicolin; Boll, Daniel

2016-01-01

Business intelligence (BI) is a worthwhile investment, and will play a significant role in hospital management in the near future. Implementation of BI is challenging and requires resources, skills, and a strategy, but enables management to have easy access to relevant analysis of data and visualization of important key performance indicators (KPI). Modern BI applications will help to overcome shortages of common "hand-made" analysis, save time and money, and will enable even managers to do "self-service" analysis and reporting.

Adding intelligence to scientific data management

Science.gov (United States)

Campbell, William J.; Short, Nicholas M., Jr.; Treinish, Lloyd A.

1989-01-01

NASA plans to solve some of the problems of handling large-scale scientific data bases by turning to artificial intelligence (AI) are discussed. The growth of the information glut and the ways that AI can help alleviate the resulting problems are reviewed. The employment of the Intelligent User Interface prototype, where the user will generate his own natural language query with the assistance of the system, is examined. Spatial data management, scientific data visualization, and data fusion are discussed.

Business Intelligence & Knowledge Management - Technological Support for Strategic Management in the Knowledge Based Economy

Directory of Open Access Journals (Sweden)

Dorel PARASCHIV

2008-01-01

Full Text Available The viability and success of modern enterprises are subject to the increasing dynamic of the economic environment, so they need to adjust rapidly their policies and strategies in order to respond to sophistication of competitors, customers and suppliers, globalization of business, international competition. Perhaps the most critical component for success of the modern enterprise is its ability to take advantage of all available information - both internal and external. Making sense of all this information, gaining value and competitive advantage through represents real challenges for the enterprise. The IT solutions designed to address these challenges have been developed in two different approaches: structured data management (Business Intelligence and unstructured content management (Knowledge Management. Integrating Business Intelligence and Knowledge Management in new software applications designated not only to store highly structured data and exploit it in real time but also to interpret the results and communicate them to decision factors provides real technological support for Strategic Management. Integrating Business Intelligence and Knowledge Management in order to respond to the challenges the modern enterprise has to deal with represents not only a "new trend" in IT, but a necessity in the emerging knowledge based economy. These hybrid technologies are already widely known in both scientific and practice communities as Competitive Intelligence. In the end of paper,a competitive datawarehouse design is proposed, in an attempt to apply business intelligence technologies to economic environment analysis making use of romanian public data sources.

Intelligent energy management; Intelligentes Energiemanagement

Energy Technology Data Exchange (ETDEWEB)

Schmidt, Carsten [Siemens AG, Nuernberg (Germany). Bereich Sales and Marketing; Kunzmann, Geo [Siemens AG, Nuernberg (Germany). Bereich Business Development

2010-03-15

As energy is getting shorter and increasingly expensive while consumption is increasing and legal regulations are getting stricter, intelligent energy management is becoming more necessary than ever. The autors propose an integrated strategy of ''identification - evaluation - saving''. They present a scalable energy management software that works also with existing hardware and helps to develop even savings potentials that are not identifiable at first glance. (orig.)

A Note on Systems Intelligence in Knowledge Management

Science.gov (United States)

Sasaki, Yasuo

2017-01-01

Purpose: This paper aims to show that systems intelligence (SI) can be a useful perspective in knowledge management, particularly in the context of the socialization, externalization, combination and internalization (SECI) model. SI is a recently developed systemic concept, a certain kind of human intelligence based on a systems thinking…

Recent progress in competitive intelligence, competitive technical intelligence and knowledge management

Directory of Open Access Journals (Sweden)

Dou Henri

2011-04-01

Full Text Available This paper discusses the role of competitive intelligence and knowledge management to create, maintain and sustain competitive advantages. The triple helix model, based on the integration of the public sector (government, business models (private corporations and universities to promote innovation is examined. Research trends in competitive intelligence are presented. It concludes that the systematic use of the technology monitoring should support the comparison between various business models of companies that hold the market best practices and form a basis to knowledge for the decision making process and strategies development.

Intelligent Learning Management Systems: Definition, Features and Measurement of Intelligence

Science.gov (United States)

Fardinpour, Ali; Pedram, Mir Mohsen; Burkle, Martha

2014-01-01

Virtual Learning Environments have been the center of attention in the last few decades and help educators tremendously with providing students with educational resources. Since artificial intelligence was used for educational proposes, learning management system developers showed much interest in making their products smarter and more…

Effective Approach to Elevate the Intelligence of Management Decision System

Institute of Scientific and Technical Information of China (English)

杨保安; 朱明; 唐志杰; 陈思

2003-01-01

Based on the sticking point of the low intelligence of the existing management decision system,this paper puts forward the idea of enriching and refining the knowledge of the system and endowing it with the ability to learn by means of adopting three types of heterogeneous knowledge representation and knowledge management measures.At length,this paper outlines the basic framework of an intelligence system for the sake of management decision problem.

Emotional intelligence and glycemic management among type I diabetes patients.

Science.gov (United States)

Zysberg, Leehu; Bar Yoseph, Tal; Goldman, Mor

2017-02-01

Type 1 diabetes is a lifelong physical and emotional challenge. The concept of emotional intelligence may offer better understanding of personal resources facilitating management of such challenges. We therefore hypothesized that emotional intelligence will negatively associate with two measures of diabetic management: HA1c and blood sugar levels. A total of 78 young adults with type 1 diabetes mellitus reported their last HA1c test result and their blood sugar level, as well as demographics and took the audio-visual test of emotional intelligence. The results showed a negative association between emotional intelligence and HA1c and marginal results in the same direction with blood sugar levels even when controlling for demographics.

Software for Intelligent System Health Management (ISHM)

Science.gov (United States)

Trevino, Luis C.

2004-01-01

The slide presentation is a briefing in four areas: overview of health management paradigms; overview of the ARC-Houston Software Engineering Technology Workshop held on April 20-22, 2004; identified technologies relevant to technical themes of intelligent system health management; and the author's thoughts on these topics.

Luminaires for Advanced Lighting in Education

Energy Technology Data Exchange (ETDEWEB)

Davis, J. Lynn [RTI International, Research Triangle Park, NC (United States)

2017-06-29

Evolving education methods and greater use of technology in the classroom are dictating the need to rethink facility designs, including classroom lighting. Advances in LED-based lighting technology have created the possibility of lighting systems that are not only cost effective and energy efficient, but also color-tunable and as durable as other facility infrastructures (a 20-30 year life expectancy). Thus, there is the opportunity that the modern lighting system can be used by educators as a tool in their teaching strategy. To meet this need, RTI International and Finelite, Inc. teamed to develop and test the Next Generation Integrated Classroom Lighting System (NICLS). The NICLS technology incorporates a high performance, color-tunable light engine into new luminaire designs (e.g., pendant, direct-indirect, downlight, troffers) that are acceptable for use in classrooms. During this project, we successfully demonstrated that the NICLS technology achieves exceptional performance and exceeds all DOE goals for the classroom of the future, including: Luminous efficacy value for NICLS luminaires in excess of 125 lpw at all CCT values; TWL range of 2,700 K to 6,500 K while maintaining a CRI of 82 or higher at all values; Capability for full-range dimming (100% to 1%) at all CCT values with flicker levels below industry guidelines; Performance of the lighting system in a classroom mock-up, incorporating daylight and occupancy sensing to provide automatic control of lighting zones to further reduce energy consumption; Rated lifetime on the system exceeding 50,000 hours with a lumen maintenance of at least 85% at 50,000 hours; and Teacher-focused UI located at the front of the classroom to operate the lighting system. A smartphone-based UI is also available to accommodate teacher movement in the classroom. A critical element of developing this technology is designing the user interface to be compatible with modern teaching methods, including increased use of icons and

Intelligent Vehicle Health Management

Science.gov (United States)

Paris, Deidre E.; Trevino, Luis; Watson, Michael D.

2005-01-01

As a part of the overall goal of developing Integrated Vehicle Health Management systems for aerospace vehicles, the NASA Faculty Fellowship Program (NFFP) at Marshall Space Flight Center has performed a pilot study on IVHM principals which integrates researched IVHM technologies in support of Integrated Intelligent Vehicle Management (IIVM). IVHM is the process of assessing, preserving, and restoring system functionality across flight and ground systems (NASA NGLT 2004). The framework presented in this paper integrates advanced computational techniques with sensor and communication technologies for spacecraft that can generate responses through detection, diagnosis, reasoning, and adapt to system faults in support of INM. These real-time responses allow the IIVM to modify the affected vehicle subsystem(s) prior to a catastrophic event. Furthermore, the objective of this pilot program is to develop and integrate technologies which can provide a continuous, intelligent, and adaptive health state of a vehicle and use this information to improve safety and reduce costs of operations. Recent investments in avionics, health management, and controls have been directed towards IIVM. As this concept has matured, it has become clear the INM requires the same sensors and processing capabilities as the real-time avionics functions to support diagnosis of subsystem problems. New sensors have been proposed, in addition, to augment the avionics sensors to support better system monitoring and diagnostics. As the designs have been considered, a synergy has been realized where the real-time avionics can utilize sensors proposed for diagnostics and prognostics to make better real-time decisions in response to detected failures. IIVM provides for a single system allowing modularity of functions and hardware across the vehicle. The framework that supports IIVM consists of 11 major on-board functions necessary to fully manage a space vehicle maintaining crew safety and mission

Identifying intelligent Building Management Systems (BMS) in ...

African Journals Online (AJOL)

Identifying intelligent Building Management Systems (BMS) in sustainable housing. ... Journal of Fundamental and Applied Sciences ... attention to the principles of sustainability of energy and organized approach to sustainable development.

Information gathering, management and transfering for geospacial intelligence

Science.gov (United States)

Nunes, Paulo; Correia, Anacleto; Teodoro, M. Filomena

2017-07-01

Information is a key subject in modern organization operations. The success of joint and combined operations with organizations partners depends on the accurate information and knowledge flow concerning the operations theatre: provision of resources, environment evolution, markets location, where and when an event occurred. As in the past and nowadays we cannot conceive modern operations without maps and geo-spatial information (GI). Information and knowledge management is fundamental to the success of organizational decisions in an uncertainty environment. The georeferenced information management is a process of knowledge management, it begins in the raw data and ends on generating knowledge. GI and intelligence systems allow us to integrate all other forms of intelligence and can be a main platform to process and display geo-spatial-time referenced events. Combining explicit knowledge with peoples know-how to generate a continuous learning cycle that supports real time decisions mitigates the influences of fog of everyday competition and provides the knowledge supremacy. Extending the preliminary analysis done in [1], this work applies the exploratory factor analysis to a questionnaire about the GI and intelligence management in an organization company allowing to identify future lines of action to improve information process sharing and exploration of all the potential of this important resource.

Intelligent community management system based on the devicenet fieldbus

Science.gov (United States)

Wang, Yulan; Wang, Jianxiong; Liu, Jiwen

2013-03-01

With the rapid development of the national economy and the improvement of people's living standards, people are making higher demands on the living environment. And the estate management content, management efficiency and service quality have been higher required. This paper in-depth analyzes about the intelligent community of the structure and composition. According to the users' requirements and related specifications, it achieves the district management systems, which includes Basic Information Management: the management level of housing, household information management, administrator-level management, password management, etc. Service Management: standard property costs, property charges collecting, the history of arrears and other property expenses. Security Management: household gas, water, electricity and security and other security management, security management district and other public places. Systems Management: backup database, restore database, log management. This article also carries out on the Intelligent Community System analysis, proposes an architecture which is based on B / S technology system. And it has achieved a global network device management with friendly, easy to use, unified human - machine interface.

Artificial Intelligence for Diabetes Management and Decision Support: Literature Review.

Science.gov (United States)

Contreras, Ivan; Vehi, Josep

2018-05-30

Artificial intelligence methods in combination with the latest technologies, including medical devices, mobile computing, and sensor technologies, have the potential to enable the creation and delivery of better management services to deal with chronic diseases. One of the most lethal and prevalent chronic diseases is diabetes mellitus, which is characterized by dysfunction of glucose homeostasis. The objective of this paper is to review recent efforts to use artificial intelligence techniques to assist in the management of diabetes, along with the associated challenges. A review of the literature was conducted using PubMed and related bibliographic resources. Analyses of the literature from 2010 to 2018 yielded 1849 pertinent articles, of which we selected 141 for detailed review. We propose a functional taxonomy for diabetes management and artificial intelligence. Additionally, a detailed analysis of each subject category was performed using related key outcomes. This approach revealed that the experiments and studies reviewed yielded encouraging results. We obtained evidence of an acceleration of research activity aimed at developing artificial intelligence-powered tools for prediction and prevention of complications associated with diabetes. Our results indicate that artificial intelligence methods are being progressively established as suitable for use in clinical daily practice, as well as for the self-management of diabetes. Consequently, these methods provide powerful tools for improving patients' quality of life. ©Ivan Contreras, Josep Vehi. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 30.05.2018.

Evaluation of Uniformity and Glare Improvement with Low Energy Efficiency Losses in Street Lighting LED Luminaires Using Laser-Sintered Polyamide-Based Diffuse Covers

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Alfonso Gago-Calderón

2018-04-01

Full Text Available Energy saving in street lighting is garnering more interest and has become a priority in municipal management. Therefore, LED luminaires are gradually becoming prevalent in our cities. Beyond their energy/economic saving potential, quality in public lighting installations concerns aspects such as uniformity and glare which must be maintained if not improved in any installation renewal project using this technology. The high light intensity generated in a discrete point in LED packages and its directional nature result in significant deficiencies in these last two parameters. To soften these effects, translucent covers are being used as one of the most common solutions with the drawback of significant light intensity losses. The objective of this paper is to evaluate the behavior of LED luminaire’s polyamide-based optical covers manufactured with a laser-sintered process. These are designed to improve glare and uniformity output, to minimize light output reductions, and to be industrially manufactured with no increment of cost for their lighting equipment compared to conventional transparent polycarbonate solutions. A laboratory and field lighting test study has been applied to different covers with the same LED lamp and luminaire to compare the performance of three different solutions built with different polymeric materials and with different light transmission surface textures. The photometric results have been observed and discussed to demonstrate the ability to significantly improve the lighting performance of LED luminaires—illuminance and uniformity levels and discomfort and disability glare indexes— using an improved optic cover.

Intelligent Sensors for Integrated Systems Health Management (ISHM)

Science.gov (United States)

Schmalzel, John L.

2008-01-01

IEEE 1451 Smart Sensors contribute to a number of ISHM goals including cost reduction achieved through: a) Improved configuration management (TEDS); and b) Plug-and-play re-configuration. Intelligent Sensors are adaptation of Smart Sensors to include ISHM algorithms; this offers further benefits: a) Sensor validation. b) Confidence assessment of measurement, and c) Distributed ISHM processing. Space-qualified intelligent sensors are possible a) Size, mass, power constraints. b) Bus structure/protocol.

An Intelligent Knowledge Management System from a Semantic Perspective

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Vasile MAZILESCU

2008-01-01

Full Text Available Knowledge Management Systems (KMS are important tools by whichorganizations can better use information and, more importantly, manageknowledge. Unlike other strategies, knowledge management (KM is difficult todefine because it encompasses a range of concepts, management tasks,technologies, and organizational practices, all of which come under the umbrella ofthe information management. Semantic approaches allow easier and more efficienttraining, maintenance, and support knowledge. Current ICT markets are dominatedby relational databases and document-centric information technologies, proceduralalgorithmic programming paradigms, and stack architecture. A key driver of globaleconomic expansion in the coming decade is the build-out of broadbandtelecommunications and the deployment of intelligent services bundling. This paperintroduces the main characteristics of an Intelligent Knowledge ManagementSystem as a multiagent system used in a Learning Control Problem (IKMSLCP,from a semantic perspective. We describe an intelligent KM framework, allowingthe observer (a human agent to learn from experience. This framework makes thesystem dynamic (flexible and adaptable so it evolves, guaranteeing high levels ofstability when performing his domain problem P. To capture by the agent who learnthe control knowledge for solving a task-allocation problem, the control expertsystem uses at any time, an internal fuzzy knowledge model of the (businessprocess based on the last knowledge model.

An intelligent agent for optimal river-reservoir system management

Science.gov (United States)

Rieker, Jeffrey D.; Labadie, John W.

2012-09-01

A generalized software package is presented for developing an intelligent agent for stochastic optimization of complex river-reservoir system management and operations. Reinforcement learning is an approach to artificial intelligence for developing a decision-making agent that learns the best operational policies without the need for explicit probabilistic models of hydrologic system behavior. The agent learns these strategies experientially in a Markov decision process through observational interaction with the environment and simulation of the river-reservoir system using well-calibrated models. The graphical user interface for the reinforcement learning process controller includes numerous learning method options and dynamic displays for visualizing the adaptive behavior of the agent. As a case study, the generalized reinforcement learning software is applied to developing an intelligent agent for optimal management of water stored in the Truckee river-reservoir system of California and Nevada for the purpose of streamflow augmentation for water quality enhancement. The intelligent agent successfully learns long-term reservoir operational policies that specifically focus on mitigating water temperature extremes during persistent drought periods that jeopardize the survival of threatened and endangered fish species.

Relation of Employee and Manager Emotional Intelligence to Job Satisfaction and Performance

Science.gov (United States)

Sy, Thomas; Tram, Susanna; O'Hara, Linda A.

2006-01-01

This study examined the relationships among employees' emotional intelligence, their manager's emotional intelligence, employees' job satisfaction, and performance for 187 food service employees from nine different locations of the same restaurant franchise. We predicted and found that employees' emotional intelligence was positively associated…

Using Intelligent Agents to Manage Business Processes

OpenAIRE

Jennings, N. R.; Faratin, P.; Johnson, M. J.; O'Brien, P.; Wiegand, M. E.

1996-01-01

Management of the business process requires pertinent, consistent and up-to-date information gathering and information dissemination. These complex and time consuming tasks prompt organizations to develop an Information Technology system to assist with the management of various aspects of their business processes. Intelligent agents are the strongest solution candidates because of their many advantages, namely: autonomy, social ability, responsiveness and proactiveness. Given these characteri...

Retail Managers' Situational Leadership Style and Emotional Intelligence

Science.gov (United States)

Schlott, Jason L.

2012-01-01

Researchers of leadership in management have explored why some managers excel in their positions and others fail. Some researchers have suggested that managers who use emotional intelligence while leading have a better opportunity to promote organizational success. Ineffective leadership may contribute to employees' poor performance and lack…

Knowledge management, business intelligence, and content management the IT practitioner's guide

CERN Document Server

Keyes, Jessica

2006-01-01

The New Intelligence: The Birth of the KnowledgeManagement Industry Buried in Information From Batch to Decision Support A Short Course in Knowledge Representation Data, Information, Knowledge, and Wisdom - and Why WeNeed to Do This Embedding Knowledge Management in the OrganizationWhere Do We Go Next?Knowledge Management Transfer Strategies KM Frameworks Knowledge Transfer TechniquesWhere Do We Go Next?Knowledge-Engineering Techniques Two Levels of Knowledge ElicitationA Knowledge-Engineering MethodologyWhere Do We Go Next? Innovation ManagementSources of InnovationGenerating Innovation Compu

Artificial Intelligence and Information Management

Science.gov (United States)

Fukumura, Teruo

After reviewing the recent popularization of the information transmission and processing technologies, which are supported by the progress of electronics, the authors describe that by the introduction of the opto-electronics into the information technology, the possibility of applying the artificial intelligence (AI) technique to the mechanization of the information management has emerged. It is pointed out that althuogh AI deals with problems in the mental world, its basic methodology relies upon the verification by evidence, so the experiment on computers become indispensable for the study of AI. The authors also describe that as computers operate by the program, the basic intelligence which is concerned in AI is that expressed by languages. This results in the fact that the main tool of AI is the logical proof and it involves an intrinsic limitation. To answer a question “Why do you employ AI in your problem solving”, one must have ill-structured problems and intend to conduct deep studies on the thinking and the inference, and the memory and the knowledge-representation. Finally the authors discuss the application of AI technique to the information management. The possibility of the expert-system, processing of the query, and the necessity of document knowledge-base are stated.

The use of intelligent systems for risk management in software projects

Directory of Open Access Journals (Sweden)

Oksana A. Gushchina

2017-06-01

Full Text Available Introduction: The article identifies the main risks of a software project, examines the use of different types of intelligent systems in the risk management process for software projects, discusses the basic methods used for process estimation and forecasting in the field of software engineering, identifies currently used empty expert systems, software systems for analysis and risk management of software projects. Materials and Methods: The author describes the peculiarities of risk management in the field of software engineering with involvement of intelligent systems. The intelligent techniques allow solving the control task with expert precision without the involvement of human experts. Results: The result of this work: – identification of the key risks of a software project (tax, legal, financial and commercial risks, IT risks, personnel risks, risks related to competitors, suppliers, marketing and demand and market; – investigation of the current, applied to risk management of software system projects, artificial intelligence, particularly expert systems and software tools for evaluation of the process results; – identification of the most popular empty expert systems (Clips, G2 and Leonardo and software products of the analysis of large databases (Orange, Weka, Rattle GUI, Apache Mahout, SCaViS, RapidMiner, Databionic ESOM Tools, ELKI, KNIME, Pandas and UIMA; – consideration of the cluster, correlation, regression, factor and dispersion analysis methods for the estimation and prediction of the processes of software engineering. Discussion and Conclusions: The results show the feasibility of the application of various intelligent systems in the risk management process. The analysis of methods of evaluating risks and the tendency of their application in the modern systems of intellectual analysis can serve as a start point for creating a unified system of risk management for software projects of medium and high complexity with a

Artificial Intelligence Applications to Fire Management

Science.gov (United States)

Don J. Latham

1987-01-01

Artificial intelligence could be used in Forest Service fire management and land-use planning to a larger degree than is now done. Robots, for example, could be programmed to monitor for fire and insect activity, to keep track of wildlife, and to do elementary thinking about the environment. Catching up with the fast-changing technology is imperative.

Managing emotions - an ability of emotional intelligence.

OpenAIRE

Correia, Ana Almeida; Veiga-Branco, Augusta

2011-01-01

This study focuses on the concept Managing Emotions from Emotional Intelligence (I.E.), (Mayer-Salovey, 1990, 1997, Goleman, 1995), also identified as Emotional Regulation (Bisquerra, 2000), to obtain recognition and practical use of this concept, through the use of Emotional Fitness charts (Bimbela-Pedrola, 2008), to develop these abilities and manage emotions in contexts of practical life. Objective: To train preschool teachers, as well as primary and lower secondary sc...

Intelligent battery energy management and control for vehicle-to-grid via cloud computing network

International Nuclear Information System (INIS)

Khayyam, Hamid; Abawajy, Jemal; Javadi, Bahman; Goscinski, Andrzej; Stojcevski, Alex; Bab-Hadiashar, Alireza

2013-01-01

Highlights: • The intelligent battery energy management substantially reduces the interactions of PEV with parking lots. • The intelligent battery energy management improves the energy efficiency. • The intelligent battery energy management predicts the road load demand for vehicles. - Abstract: Plug-in Electric Vehicles (PEVs) provide new opportunities to reduce fuel consumption and exhaust emission. PEVs need to draw and store energy from an electrical grid to supply propulsive energy for the vehicle. As a result, it is important to know when PEVs batteries are available for charging and discharging. Furthermore, battery energy management and control is imperative for PEVs as the vehicle operation and even the safety of passengers depend on the battery system. Thus, scheduling the grid power electricity with parking lots would be needed for efficient charging and discharging of PEV batteries. This paper aims to propose a new intelligent battery energy management and control scheduling service charging that utilize Cloud computing networks. The proposed intelligent vehicle-to-grid scheduling service offers the computational scalability required to make decisions necessary to allow PEVs battery energy management systems to operate efficiently when the number of PEVs and charging devices are large. Experimental analyses of the proposed scheduling service as compared to a traditional scheduling service are conducted through simulations. The results show that the proposed intelligent battery energy management scheduling service substantially reduces the required number of interactions of PEV with parking lots and grid as well as predicting the load demand calculated in advance with regards to their limitations. Also it shows that the intelligent scheduling service charging using Cloud computing network is more efficient than the traditional scheduling service network for battery energy management and control

The moderating role of personality traits on emotional intelligence and conflict management styles.

Science.gov (United States)

Ann, Bao-Yi; Yang, Chun-Chi

2012-06-01

In a sample of 442 part-time MBA and undergraduate students, the relationships between emotional intelligence and the integrating style and between emotional intelligence and the dominating style of conflict management were moderated by extraversion. In addition, agreeableness moderated the relationships between emotional intelligence and compromising style and between emotional intelligence and dominating style.

Business Intelligence and Performance Management

OpenAIRE

TANASE, George Cosmin

2015-01-01

Globalisation, volatile markets, legal changes and technical progress have an immense impact on business environments in most industries. More and more IT is deployed to manage the complexity. As a result, companies and organisations have to handle growing volumes of data which have become a valuable asset. The ability to benefit from this asset is increasingly essential for business success. Therefore, fast storage, reliable data access, intelligent information retrieval, and new decision-ma...

Virtual Enterprise Risk Management Using Artificial Intelligence

Directory of Open Access Journals (Sweden)

Hanning Chen

2010-01-01

Full Text Available Virtual enterprise (VE has to manage its risk effectively in order to guarantee the profit. However, restricting the risk in a VE to the acceptable level is considered difficult due to the agility and diversity of its distributed characteristics. First, in this paper, an optimization model for VE risk management based on distributed decision making model is introduced. This optimization model has two levels, namely, the top model and the base model, which describe the decision processes of the owner and the partners of the VE, respectively. In order to solve the proposed model effectively, this work then applies two powerful artificial intelligence optimization techniques known as evolutionary algorithms (EA and swarm intelligence (SI. Experiments present comparative studies on the VE risk management problem for one EA and three state-of-the-art SI algorithms. All of the algorithms are evaluated against a test scenario, in which the VE is constructed by one owner and different partners. The simulation results show that the PS2O algorithm, which is a recently developed SI paradigm simulating symbiotic coevolution behavior in nature, obtains the superior solution for VE risk management problem than the other algorithms in terms of optimization accuracy and computation robustness.

From Management Information Systems to Business Intelligence: The Development of Management Information Needs

Directory of Open Access Journals (Sweden)

Gėlytė Kazakevičienė

2013-09-01

Full Text Available Despite the advances in IT, information systems intended for management informing did not uniformly fulfil the increased expectations of users; this can be said mostly about complex information needs. Although some of the technologies for supporting complicated insights, like management decision support systems and technologies, experienced reduction in interest both from researchers and practitioners, this did not reduce the importance of well-supported business informing and decision making. Being attributed to the group of intelligent systems and technologies, decision support (DS technologies have been largely supplemented by business intelligence (BI technologies. Both types of technologies are supported by respective information technologies, which often appear to be quite closely related. The objective of this paper is to define relations between simple and complex informing intended to satisfy different sets of needs and provided by different sets of support tools. The paper attempts to put together decision support and business intelligence technologies, based on common goals of sense-making and use of advanced analytical tools. A model of two interconnected cycles has been developed to relate the activities of decision support and business intelligence. Empirical data from earlier research is used to direct possible further insights into this area.

Creating Business Intelligence from Course Management Systems

Science.gov (United States)

van Dyk, Liezl; Conradie, Pieter

2007-01-01

Purpose: This article seeks to address the interface between individual learning facilitators that use course management systems (CMS) data to support decision-making and course design and institutional infrastructure providers that are responsible for institutional business intelligence. Design/methodology/approach: The design of a data warehouse…

Applying business intelligence innovations to emergency management.

Science.gov (United States)

Schlegelmilch, Jeffrey; Albanese, Joseph

2014-01-01

The use of business intelligence (BI) is common among corporations in the private sector to improve business decision making and create insights for competitive advantage. Increasingly, emergency management agencies are using tools and processes similar to BI systems. With a more thorough understanding of the principles of BI and its supporting technologies, and a careful comparison to the business model of emergency management, this paper seeks to provide insights into how lessons from the private sector can contribute to the development of effective and efficient emergency management BI utilisation.

A Map for Clinical Laboratories Management Indicators in the Intelligent Dashboard.

Science.gov (United States)

Azadmanjir, Zahra; Torabi, Mashallah; Safdari, Reza; Bayat, Maryam; Golmahi, Fatemeh

2015-08-01

management challenges of clinical laboratories are more complicated for educational hospital clinical laboratories. Managers can use tools of business intelligence (BI), such as information dashboards that provide the possibility of intelligent decision-making and problem solving about increasing income, reducing spending, utilization management and even improving quality. Critical phase of dashboard design is setting indicators and modeling causal relations between them. The paper describes the process of creating a map for laboratory dashboard. the study is one part of an action research that begins from 2012 by innovation initiative for implementing laboratory intelligent dashboard. Laboratories management problems were determined in educational hospitals by the brainstorming sessions. Then, with regard to the problems key performance indicators (KPIs) specified. the map of indicators designed in form of three layered. They have a causal relationship so that issues measured in the subsequent layers affect issues measured in the prime layers. the proposed indicator map can be the base of performance monitoring. However, these indicators can be modified to improve during iterations of dashboard designing process.

Emotional intelligence and successful change management in the Nigerian banking industry

Directory of Open Access Journals (Sweden)

John N. N. Ugoani

2017-06-01

Full Text Available Successful organizational change requires a supportive culture and competence development driven by exceptional leadership that can influence business strategy in allocating financial, human and material resources, processes and systems that focus on collaborative imperatives. Change management is the lubricant that oils the wheels of organizations in the race for competitive advantage. Many organizational change efforts face resistance mainly because of the method of implementation. Change Management involves the ability to communicate, influence, collaborate and work in harmony with colleagues. Emotional intelligence competencies allow organizational members to acknowledge the need for change, remove barriers, and enlist others in pursuit of new initiatives aimed at organizational success. Beginning in the late 1990s, banks in Nigeria embarked on change management through BPR that involved emotional intelligence competencies which saw the banking industry’s shareholders’ funds rising from minus N792m in 1996 to N1,935bn in 2011. The survey research design was used for the study, and data were analyzed to demonstrate the relationship between emotional intelligence and successful change management. It was found that EI has strong positive relationship with successful change management in the Nigerian banking industry.

THE COMBINED USE OF BUSINESS MANAGEMENT WITH FACILITY MANAGEMENT AS AN OPTION FOR INTELLIGENT BUILDING

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Andreas Dittmar Weise

2014-01-01

Full Text Available Words like Business Management (BM and Facility Management (FM are well known as separate management methods. FM offers transparency about their property costs and exploitation, starting from the planning phase until its demolition. The investor sees this in the property invested capital and its recoverable yield. This means they also want a profit with their real estates. Besides this, changes in the social and environmental requirements become necessary to adapt the properties. The solution is called Intelligent Building. Its primary aim is to collect and select previous knowledge and information about Facility Management and Business Management. It is an application, mainly with sight to characterize and describe the possibilities of use of intelligent buildings as a combination of Facility and Business Management. This paper is an indirect survey carried out through a documental procedure in the form of a bibliographic research and theoretician study. Intelligent Building as combination of FM and BM is new, but in our times necessary to satisfy the needs of the demand. This type of building needs to be flexible in its structure and services, open for changes in environmental requirements, e.g. saving energy, and needs a lot of technology to realize their functions. Consequently, it will be sustainable for a value enhancement. With a Computer Aided Facilities Management system this is possible and the company will be more flexible in relation to the competitors and future changes.

Intelligent power system data management systems (DBMS)

Energy Technology Data Exchange (ETDEWEB)

Middleton, A.; Macdonald, E. [GE Digital Energy, Markham, ON (Canada); Schreiner, Z. [Intelligent Process Solutions GmbH, Lindau (Germany); Bizjak, J. [Elektro Ljubljana d.d., Ljubljana (Slovenia)

2010-07-01

Network owners/operators from around the world have moved from electromechanical products to intelligent electronic devices (IEDs). Most networks have a multi-generation technology mix because protection assets have a normal application lifespan of between 10 and 40 years. Associated data capture and maintenance management regimes have therefore moved from paper based into digitized media, creating a significant increase in the volume of acquired data, such that there is now a mix of paper and digitized storage. Data is rarely consolidated or used for decision making in asset management processes once testing is completed, having a major impact on overall power system reliability. This paper presented the concept of intelligent operative maintenance management, now becoming more recognized in the industry. The concept was described as the management of operational data, resulting actions and responses, wherever and by whoever they are needed, without any additional overhead. The paper discussed new techniques of testing as well as planning and operative maintenance. The practical benefits of the new system were also presented, with particular reference to central management; simplification of routine protocols; secondary testing; and reduced cost of data handling. It was concluded that the main benefit from all of the techniques discussed in this paper is that experienced expert test engineers can focus more time upon making good, critical decisions to ensure that utilities maximize their customer service and safety regimes. 13 refs., 7 figs.

A study of relationship between emotional intelligence and innovative work behavior of managers

Directory of Open Access Journals (Sweden)

Mohammad Reza Shojaei

2014-07-01

Full Text Available This paper studies the relationship between emotional intelligence and its components, self-awareness, self-management, social-awareness and relationship-management, with managers’ innovative work behavior. The research statistical population includes 100 managers of private bank branches in the city of Tehran selected with the random sampling method. The research type is descriptive-correlation. The tool for data aggregation is comprised of two questionnaires of emotional intelligence by Bradberry and Greaves (2006 [Bradberry, T., & Greaves, J. (2006. The emotional intelligence quick book: Everything you need to know to put your EQ to work. Simon and Schuster.] and innovative work behavior based on the studies of Janssen (2000 [Janssen, O. (2000. Job demands, perceptions of effort‐reward fairness and innovative work behaviour. Journal of Occupational and organizational psychology, 73(3, 287-302.]. The Pearson correlation coefficient and multiple regression analysis have been used for data analysis. The results indicated that there was a positive and significant relationship between emotional intelligence and its components with innovative work behavior of managers. In addition, regression analysis showed that the self-management variable had the highest effect in estimating the managers’ innovative work behavior followed by relationship-management, self-awareness and social-awareness.

Hardware-in-the-Loop Simulation of Distributed Intelligent Energy Management System for Microgrids

Directory of Open Access Journals (Sweden)

Dong-Jun Won

2013-07-01

Full Text Available Microgrids are autonomous low-voltage power distribution systems that contain multiple distributed energy resources (DERs and smart loads that can provide power system operation flexibility. To effectively control and coordinate multiple DERs and loads of microgrids, this paper proposes a distributed intelligent management system that employs a multi-agent-based control system so that delicate decision-making functions can be distributed to local intelligent agents. This paper presents the development of a hardware-in-the-loop simulation (HILS system for distributed intelligent management system for microgrids and its promising application to an emergency demand response program. In the developed HILS system, intelligent agents are developed using microcontrollers and ZigBee wireless communication technology. Power system dynamic models are implemented in real-time simulation environments using the Opal-RT system. This paper presents key features of the data communication and management schemes based on multi-agent concepts. The performance of the developed system is tested for emergency demand response program applications.

Comparative Study of Intelligent Systems for Management of GIT Cancers

Directory of Open Access Journals (Sweden)

Labib Nevine

2017-01-01

Full Text Available Intelligent Systems contribute in the management of different GIT cancer types. The paper discusses different types of intelligent systems, classified according to the medical task achieved, such as early detection, diagnosis and prognosis. It is found out that these types include rule-based and case-based expert systems, artificial neural networks, genetic algorithms, machine learning, in addition to data mining techniques and statistical methods. The study focuses on comparing between different techniques and tools used. The comparison results in identifying the benefits of using data mining techniques for the diagnosis task, since it is based on huge amounts of data in order to discover new patterns hence new predisposing factors. It also points out the use of expert systems in the prognosis task, since this task is mainly based on the specialist experience that should be transferred to less- experienced medical professionals. Based on the previous results, it is recommended to develop an Intelligent Tutoring System (ITS that focuses on the early diagnosis of GIT cancers, since managing the disease depends mainly on proper diagnosis, and also to build an expert system that helps transferring GIT cancers management knowledge to medical doctors in different hospitals.

Systems Intelligence in Knowledge Management Implementation: A Momentum of the SECI Model

OpenAIRE

Sasaki, Yasuo

2014-01-01

This paper discusses the role of systems intelligence in knowledge management implementations, in particular, in the SECI model, a widely acknowledged knowledge creation process in an organization identified by Nonaka and Takeuchi (1995). The SECI model deals with interactions and conversions of tacit knowledge and explicit knowledge and mainly consists of four stages. The author illustrates systems intelligence, a certain kind of human intelligence focusing on systems thinking perspective pr...

Intelligent management in the knowledge economy

DEFF Research Database (Denmark)

Junghagen, Sven; Linderoth, Henrik

The knowledge economy is a notion that has been used, since the 1990s, to describe a new economic order perceived by scholars and practitioners. The authors argue that this order, triggered by new information and communication technologies, has resulted in a different set of challenges...... for effective management of the contemporary firm. Knowledge will play an important role in managing these challenges, with the onus being on new hardware and software as much as how businesses can be organized with regard to relationships with customers and suppliers. This volume shows how "intelligent...... management will be the key to how internal operations can be organized, in order to take advantage of opportunities brought about by new technologies. This change in management is discussed throughout the book from a wide array of perspectives ranging from contextual and philosophical aspects, through tools...

The Interplay among Emotional Intelligence, Classroom Management, and Language Proficiency of Iranian EFL Teachers

Directory of Open Access Journals (Sweden)

Hadi Hamidi

2016-06-01

Full Text Available The present study was an attempt to investigate the interplay among Iranian EFL teachers’ emotional intelligence, classroom management, and their general English language proficiency. The result of the data analysis showed that: 1 there was a statistically significant relationship between the emotional intelligence and the classroom management of Iranian EFL teachers, 2 there was a statistically significant relationship between the emotional intelligence and the language proficiency of Iranian EFL teachers, and 3 there was a statistically significant relationship between the classroom management and the language proficiency of Iranian EFL teachers. Teacher trainers, researchers in teacher education, and language teachers may benefit from the findings of the present research.

Artificial intelligence and knowledge management

OpenAIRE

Hoesch, Hugo Cesar; Barcellos, Vânia

2006-01-01

This article intends to make an analysis about the Artificial Intelligence (AI) and the Knowledge Management (KM). Faced with the dualism mind and body how we be able to see it AI? It doesn’t intent to create identical copy of human being, but try to find the better form to represent all the knowledge contained in our minds. The society of the information lives a great paradox, at the same time that we have access to an innumerable amount of information, the capacity and the forms of its proc...

Applying intelligent transport systems to manage noise impacts

NARCIS (Netherlands)

Wilmink, I.R.; Vonk, T.

2015-01-01

This contribution discusses how traffic management, and many other measures that can be categorised as Intelligent Transport Systems (ITS, i.e. all traffic and transport measures that use ICT) can help reduce noise levels by influencing mobility choices and driving behaviour. Several examples of

Artificial Intelligent Platform as Decision Tool for Asset Management, Operations and Maintenance.

Science.gov (United States)

2018-01-04

An Artificial Intelligence (AI) system has been developed and implemented for water, wastewater and reuse plants to improve management of sensors, short and long term maintenance plans, asset and investment management plans. It is based on an integrated approach to capture data from different computer systems and files. It adds a layer of intelligence to the data. It serves as a repository of key current and future operations and maintenance conditions that a plant needs have knowledge of. With this information, it is able to simulate the configuration of processes and assets for those conditions to improve or optimize operations, maintenance and asset management, using the IViewOps (Intelligent View of Operations) model. Based on the optimization through model runs, it is able to create output files that can feed data to other systems and inform the staff regarding optimal solutions to the conditions experienced or anticipated in the future.

Artificial-intelligence-based optimization of the management of snow removal assets and resources.

Science.gov (United States)

2002-10-01

Geographic information systems (GIS) and artificial intelligence (AI) techniques were used to develop an intelligent : snow removal asset management system (SRAMS). The system has been evaluated through a case study examining : snow removal from the ...

Intelligent, Autonomous Electrical Power System Management and Distribution, Phase I

Data.gov (United States)

National Aeronautics and Space Administration — EPS-MAESTRO (EPS Management through intelligent, AdaptivE, autonomouS, faulT identification and diagnosis, Reconfiguration/replanning/rescheduling Optimization)...

Intelligent Model Management in a Forest Ecosystem Management Decision Support System

Science.gov (United States)

Donald Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mark Twery; H. Michael Rauscher; Peter Knopp; Scott Thomasma; Mayukh Dass; Hajime Uchiyama

2002-01-01

Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard...

Integrating Organizational Learning and Business Praxis: A Case for Intelligent Project Management.

Science.gov (United States)

Cavaleri, Steven A.; Fearon, David S.

2000-01-01

Project management provides a natural home for organizational learning, freeing it from mechanical processes. Organizational learning plays a critical role in intelligent project management, which combines manageability, performance outcomes of knowledge management, and innovation. Learning should be integrated into an organization's core…

IVHM Framework for Intelligent Integration for Vehicle Health Management

Science.gov (United States)

Paris, Deidre; Trevino, Luis C.; Watson, Michael D.

2005-01-01

Integrated Vehicle Health Management (IVHM) systems for aerospace vehicles, is the process of assessing, preserving, and restoring system functionality across flight and techniques with sensor and communication technologies for spacecraft that can generate responses through detection, diagnosis, reasoning, and adapt to system faults in support of Integrated Intelligent Vehicle Management (IIVM). These real-time responses allow the IIVM to modify the affected vehicle subsystem(s) prior to a catastrophic event. Furthermore, this framework integrates technologies which can provide a continuous, intelligent, and adaptive health state of a vehicle and use this information to improve safety and reduce costs of operations. Recent investments in avionics, health management, and controls have been directed towards IIVM. As this concept has matured, it has become clear that IIVM requires the same sensors and processing capabilities as the real-time avionics functions to support diagnosis of subsystem problems. New sensors have been proposed, in addition to augment the avionics sensors to support better system monitoring and diagnostics. As the designs have been considered, a synergy has been realized where the real-time avionics can utilize sensors proposed for diagnostics and prognostics to make better real-time decisions in response to detected failures. IIVM provides for a single system allowing modularity of functions and hardware across the vehicle. The framework that supports IIVM consists of 11 major on-board functions necessary to fully manage a space vehicle maintaining crew safety and mission objectives. These systems include the following: Guidance and Navigation; Communications and Tracking; Vehicle Monitoring; Information Transport and Integration; Vehicle Diagnostics; Vehicle Prognostics; Vehicle Mission Planning, Automated Repair and Replacement; Vehicle Control; Human Computer Interface; and Onboard Verification and Validation. Furthermore, the presented

How to Teach Emotional Intelligence Skills in IT Project Management

Science.gov (United States)

Connolly, Amy J.; Reinicke, Bryan

2017-01-01

High emotional intelligence ("EQ") is considered one of the greatest strengths of an alpha project manager, yet undergraduate project management students are not directly trained in EQ soft skills such as communication, politics and teamwork. This article describes examples of active learning exercises implemented in an undergraduate IT…

Conflict management styles, emotional intelligence and implicit theories of personality of nursing students: a cross-sectional study.

Science.gov (United States)

Chan, Joanne C Y; Sit, Emily N M; Lau, W M

2014-06-01

Conflict management is an essential skill that nursing students need to master as conflict is unavoidable in clinical settings. Examining nursing students' conflict management styles and the associating factors can inform nurse educators on how to equip nursing students for effective conflict management. This study aimed at examining undergraduate nursing students conflict management styles in managing conflict with their supervisors in clinical placement. The associations of emotional intelligence and implicit theories of personality with conflict management styles were also investigated. This is a cross-sectional quantitative survey. This study took place at a nursing school at a university in Hong Kong. 568 undergraduate nursing students participated in the study. Students completed a questionnaire which consisted of demographics, Measure of Implicit Theories of Personality, The Schutte Emotional Intelligence Scale (SEIS) and The Rahim Organizational Conflict Inventory-II (ROCI-II) and received a HKD 20 book coupon as compensation. The data were analyzed by descriptive statistics, reliability analyses, t-tests, correlational and linear regression analyses. For managing conflict with clinical supervisors, students used obliging and integrating most frequently whereas used dominating least. Emotional intelligence was a significant predictor of all five conflict management styles. The higher the emotional intelligence, the more students used integrating, obliging, compromising and dominating. The lower the emotional intelligence, the more students used avoiding. There was a significant association between implicit theories of personality and compromising. The less malleable students perceived personality to be, the more they used compromising. Emotional intelligence was significantly associated with all five conflict management styles while implicit theories of personality were significantly associated with compromising style only. Efforts of nurse educators to

Adding intelligence to mobile asset management in hospitals: the true value of RFID.

Science.gov (United States)

Castro, Linda; Lefebvre, Elisabeth; Lefebvre, Louis A

2013-10-01

RFID (Radio Frequency Identification) technology is expected to play a vital role in the healthcare arena, especially in times when cost containments are at the top of the priorities of healthcare management authorities. Medical equipment represents a significant share of yearly healthcare operational costs; hence, ensuring an effective and efficient management of such key assets is critical to promptly and reliably deliver a diversity of clinical services at the patient bedside. Empirical evidence from a phased-out RFID implementation in one European hospital demonstrates that RFID has the potential to transform asset management by improving inventory management, enhancing asset utilization, increasing staff productivity, improving care services, enhancing maintenance compliance, and increasing information visibility. Most importantly, RFID allows the emergence of intelligent asset management processes, which is, undoubtedly, the most important benefit that could be derived from the RFID system. Results show that the added intelligence can be rather basic (auto-status change) or a bit more advanced (personalized automatic triggers). More importantly, adding intelligence improves planning and decision-making processes.

Tele-maintenance 'intelligent' system for technical plants result management

International Nuclear Information System (INIS)

Concetti, Massimo; Cuccioletta, Roberto; Fedele, Lorenzo; Mercuri, Giampiero

2009-01-01

The management of technical plant for productivity and safety is generally a complex activity, particularly when many plants distributed in the territory are considered (i.e. the more and more frequent case of outsourced plants maintenance by specialized companies), granted quality and cost results are required (i.e. the case of some rather innovative contract solutions) and the technology involved is heterogeneous and innovative (i.e. electro-mechanical plants). In order to efficiently achieve the above aims an 'intelligent' maintenance-management system for the distant monitoring and controlling by a remote control center has been developed. The so-called GrAMS (granted availability management system) system is conceived to give to organizations involved in technical-industrial plants management the possibility to tend to a 'well-known availability' and 'zero-failures' management. In particular, this study deals with the diagnostic aspects and safety level of technical plants (such as elevators, thermo-technical plants, etc.), and with the involvement of ad hoc designed software analysis tools based on neural networks and reliability indicators. Part of the research dealing with the tele-maintenance intelligent system has been financed by the Italian High Institute for Safety (ISPESL) and led to the development of a pre-industrial prototype whose realization and testing is here described

Intelligent Integrated Health Management for a System of Systems

Science.gov (United States)

Smith, Harvey; Schmalzel, John; Figueroa, Fernando

2008-01-01

An intelligent integrated health management system (IIHMS) incorporates major improvements over prior such systems. The particular IIHMS is implemented for any system defined as a hierarchical distributed network of intelligent elements (HDNIE), comprising primarily: (1) an architecture (Figure 1), (2) intelligent elements, (3) a conceptual framework and taxonomy (Figure 2), and (4) and ontology that defines standards and protocols. Some definitions of terms are prerequisite to a further brief description of this innovation: A system-of-systems (SoS) is an engineering system that comprises multiple subsystems (e.g., a system of multiple possibly interacting flow subsystems that include pumps, valves, tanks, ducts, sensors, and the like); 'Intelligent' is used here in the sense of artificial intelligence. An intelligent element may be physical or virtual, it is network enabled, and it is able to manage data, information, and knowledge (DIaK) focused on determining its condition in the context of the entire SoS; As used here, 'health' signifies the functionality and/or structural integrity of an engineering system, subsystem, or process (leading to determination of the health of components); 'Process' can signify either a physical process in the usual sense of the word or an element into which functionally related sensors are grouped; 'Element' can signify a component (e.g., an actuator, a valve), a process, a controller, an actuator, a subsystem, or a system; The term Integrated System Health Management (ISHM) is used to describe a capability that focuses on determining the condition (health) of every element in a complex system (detect anomalies, diagnose causes, prognosis of future anomalies), and provide data, information, and knowledge (DIaK) not just data to control systems for safe and effective operation. A major novel aspect of the present development is the concept of intelligent integration. The purpose of intelligent integration, as defined and

Intelligent Tutor with Emotion Recognition and Student Emotion Management for Math Performance

Directory of Open Access Journals (Sweden)

Mari­a Luci­a Barron Estrada

2014-10-01

Full Text Available This research presents the development, implementation, and testing of an Intelligent Tutoring System for math in third grade elementary students, it identifies and manages the emotional state of the student; it produces affective feedback for the student during the course that also it is part of a social network. Emotions are recognized via facial expressions by means of an artificial neural network. The social network and the intelligent tutoring system with affective management have been tested in public and private elementary schools with very satisfying results.

Knowledge structure representation and automated updates in intelligent information management systems

Science.gov (United States)

Corey, Stephen; Carnahan, Richard S., Jr.

1990-01-01

A continuing effort to apply rapid prototyping and Artificial Intelligence techniques to problems associated with projected Space Station-era information management systems is examined. In particular, timely updating of the various databases and knowledge structures within the proposed intelligent information management system (IIMS) is critical to support decision making processes. Because of the significantly large amounts of data entering the IIMS on a daily basis, information updates will need to be automatically performed with some systems requiring that data be incorporated and made available to users within a few hours. Meeting these demands depends first, on the design and implementation of information structures that are easily modified and expanded, and second, on the incorporation of intelligent automated update techniques that will allow meaningful information relationships to be established. Potential techniques are studied for developing such an automated update capability and IIMS update requirements are examined in light of results obtained from the IIMS prototyping effort.

3rd International Workshop on Intelligent Data Analysis and Management (IDAM)

CERN Document Server

Wang, Leon; Hong, Tzung-Pei; Yang, Hsin-Chang; Ting, I-Hsien

2013-01-01

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving academic researchers in information technologies, computer science, public policy, bioinformatics, medical informatics, and social and behavior studies, etc. The techniques studied include (but are not limited to): data visualization, data pre-processing, data engineering, database mining techniques, tools and applications, evolutionary algorithms, machine learning, neural nets, fuzzy logic, statistical pattern recognition, knowledge filtering, and post-processing, etc.

Analysis on the Chinese Urban Sustainable Development Demands for the Management Plan of Intelligent Transportation Systems

Institute of Scientific and Technical Information of China (English)

赵历男

2002-01-01

This article analyzes the demands of the sustainable development and Chinese urban environmental protection for the management plan of intelligent transportation systems. The article also comments on how to work out the management plan of intelligent transportation systems with China's own characteristics.

Intelligent energy management control of vehicle air conditioning system coupled with engine

International Nuclear Information System (INIS)

Khayyam, Hamid; Abawajy, Jemal; Jazar, Reza N.

2012-01-01

Vehicle Air Conditioning (AC) systems consist of an engine powered compressor activated by an electrical clutch. The AC system imposes an extra load to the vehicle's engine increasing the vehicle fuel consumption and emissions. Energy management control of the vehicle air conditioning is a nonlinear dynamic system, influenced by uncertain disturbances. In addition, the vehicle energy management control system interacts with different complex systems, such as engine, air conditioning system, environment, and driver, to deliver fuel consumption improvements. In this paper, we describe the energy management control of vehicle AC system coupled with vehicle engine through an intelligent control design. The Intelligent Energy Management Control (IEMC) system presented in this paper includes an intelligent algorithm which uses five exterior units and three integrated fuzzy controllers to produce desirable internal temperature and air quality, improved fuel consumption, low emission, and smooth driving. The three fuzzy controllers include: (i) a fuzzy cruise controller to adapt vehicle cruise speed via prediction of the road ahead using a Look-Ahead system, (ii) a fuzzy air conditioning controller to produce desirable temperature and air quality inside vehicle cabin room via a road information system, and (iii) a fuzzy engine controller to generate the required engine torque to move the vehicle smoothly on the road. We optimised the integrated operation of the air conditioning and the engine under various driving patterns and performed three simulations. Results show that the proposed IEMC system developed based on Fuzzy Air Conditioning Controller with Look-Ahead (FAC-LA) method is a more efficient controller for vehicle air conditioning system than the previously developed Coordinated Energy Management Systems (CEMS). - Highlights: ► AC interacts: vehicle, environment, driver components, and the interrelationships between them. ► Intelligent AC algorithm which uses

How Do Motivational Regulation Strategies Affect Achievement: Mediated by Effort Management and Moderated by Intelligence

Science.gov (United States)

Schwinger, Malte; Steinmayr, Ricarda; Spinath, Birgit

2009-01-01

It was assumed that the effect of motivational regulation strategies on achievement is mediated by effort management and moderated by intelligence. A sample of 231 11th and 12th grade German high-school students provided self-reports on their use of motivational regulation strategies and effort management and completed an intelligence test.…

The Relationship of Emotional Intelligence of Managers and Organization

OpenAIRE

Asghar Moshabaki; Vahab Khalili Shojaei

2009-01-01

AbstractThe pupose implementation of the present study is investigating the Relationship between EmotionalIntelligence (EI) of Managers and Organization Climate with Organizational learning culture of which NIOC1 has been chosen as case study. In this article, 30 managers of NIOC and suborganizations have been chosenby clusterly method base that using interview and questionnaire for gatering information. In this articlesubjects are splited for two classify. Fistyly, deal with emotional intell...

Application of artificial intelligence to the management of urological cancer.

Science.gov (United States)

Abbod, Maysam F; Catto, James W F; Linkens, Derek A; Hamdy, Freddie C

2007-10-01

Artificial intelligence techniques, such as artificial neural networks, Bayesian belief networks and neuro-fuzzy modeling systems, are complex mathematical models based on the human neuronal structure and thinking. Such tools are capable of generating data driven models of biological systems without making assumptions based on statistical distributions. A large amount of study has been reported of the use of artificial intelligence in urology. We reviewed the basic concepts behind artificial intelligence techniques and explored the applications of this new dynamic technology in various aspects of urological cancer management. A detailed and systematic review of the literature was performed using the MEDLINE and Inspec databases to discover reports using artificial intelligence in urological cancer. The characteristics of machine learning and their implementation were described and reports of artificial intelligence use in urological cancer were reviewed. While most researchers in this field were found to focus on artificial neural networks to improve the diagnosis, staging and prognostic prediction of urological cancers, some groups are exploring other techniques, such as expert systems and neuro-fuzzy modeling systems. Compared to traditional regression statistics artificial intelligence methods appear to be accurate and more explorative for analyzing large data cohorts. Furthermore, they allow individualized prediction of disease behavior. Each artificial intelligence method has characteristics that make it suitable for different tasks. The lack of transparency of artificial neural networks hinders global scientific community acceptance of this method but this can be overcome by neuro-fuzzy modeling systems.

Business intelligence and performance management theory, systems and industrial applications

CERN Document Server

2013-01-01

This book covers all the basic concepts of business intelligence and performance management including strategic support, business applications, methodologies and technologies from the field, and thoroughly explores the benefits, issues and challenges of each.

Information Security Intelligence as a Basis for Modern Information Security Management

OpenAIRE

Natalia Georgievna Miloslavskaya; Aleksandr Ivanovich Tolstoy

2013-01-01

There is a transfer from the simple Log Management Systems and SIEM systems to those supporting Information Security Intelligence (ISI). ISIe as Business Intelligence enables companies to make more informed business decisions through more effective processing of great volumes of available information concerning their IT infrastructure. The relevance of such a transition is defined. The main goal and advantage of ISI are highlighted. The basic functionality of computer-based systems for ISI ar...

Intelligent Decision Support and Big Data for Logistics and Supply Chain Management

DEFF Research Database (Denmark)

Voss, Stefan; Sebastian, Hans-Jürgen; Pahl, Julia

2017-01-01

Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics, metaheur......Intelligent Decision Support and Big Data for Logistics and Supply Chain Management” features theoretical developments, real-world applications and information systems related to solving decision problems in logistics and supply chain management. Methods include optimization, heuristics......, metaheuristics and matheuristics, simulation, agent technologies, and descriptive methods. In a sense, we were and are representing the future of logistics over the years....

A Novel Architecture of Metadata Management System Based on Intelligent Cache

Institute of Scientific and Technical Information of China (English)

SONG Baoyan; ZHAO Hongwei; WANG Yan; GAO Nan; XU Jin

2006-01-01

This paper introduces a novel architecture of metadata management system based on intelligent cache called Metadata Intelligent Cache Controller (MICC). By using an intelligent cache to control the metadata system, MICC can deal with different scenarios such as splitting and merging of queries into sub-queries for available metadata sets in local, in order to reduce access time of remote queries. Application can find results patially from local cache and the remaining portion of the metadata that can be fetched from remote locations. Using the existing metadata, it can not only enhance the fault tolerance and load balancing of system effectively, but also improve the efficiency of access while ensuring the access quality.

Information Security Intelligence as a Basis for Modern Information Security Management

Directory of Open Access Journals (Sweden)

Natalia Georgievna Miloslavskaya

2013-12-01

Full Text Available There is a transfer from the simple Log Management Systems and SIEM systems to those supporting Information Security Intelligence (ISI. ISIe as Business Intelligence enables companies to make more informed business decisions through more effective processing of great volumes of available information concerning their IT infrastructure. The relevance of such a transition is defined. The main goal and advantage of ISI are highlighted. The basic functionality of computer-based systems for ISI are determined.

Controls and Health Management Technologies for Intelligent Aerospace Propulsion Systems

Science.gov (United States)

Garg, Sanjay

2004-01-01

With the increased emphasis on aircraft safety, enhanced performance and affordability, and the need to reduce the environmental impact of aircraft, there are many new challenges being faced by the designers of aircraft propulsion systems. The Controls and Dynamics Technology Branch at NASA (National Aeronautics and Space Administration) Glenn Research Center (GRC) in Cleveland, Ohio, is leading and participating in various projects in partnership with other organizations within GRC and across NASA, the U.S. aerospace industry, and academia to develop advanced controls and health management technologies that will help meet these challenges through the concept of an Intelligent Engine. The key enabling technologies for an Intelligent Engine are the increased efficiencies of components through active control, advanced diagnostics and prognostics integrated with intelligent engine control to enhance component life, and distributed control with smart sensors and actuators in an adaptive fault tolerant architecture. This paper describes the current activities of the Controls and Dynamics Technology Branch in the areas of active component control and propulsion system intelligent control, and presents some recent analytical and experimental results in these areas.

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-management

Artificial intelligence and process management

International Nuclear Information System (INIS)

Epton, J.B.A.

1989-01-01

Techniques derived from work in artificial intelligence over the past few decades are beginning to change the approach in applying computers to process management. To explore this new approach and gain real practical experience of its potential a programme of experimental applications was initiated by Sira in collaboration with the process industry. This programme encompassed a family of experimental applications ranging from process monitoring, through supervisory control and troubleshooting to planning and scheduling. The experience gained has led to a number of conclusions regarding the present level of maturity of the technology, the potential for further developments and the measures required to secure the levels of system integrity necessary in on-line applications to critical processes. (author)

Worldwide Intelligent Systems: Approaches to Telecommunications and Network Management. Frontiers in Artificial Intelligence and Applications, Volume 24.

Science.gov (United States)

Liebowitz, Jay, Ed.; Prerau, David S., Ed.

This is an international collection of 12 papers addressing artificial intelligence (AI) and knowledge technology applications in telecommunications and network management. It covers the latest and emerging AI technologies as applied to the telecommunications field. The papers are: "The Potential for Knowledge Technology in…

Intelligent energy management. Less electricity, same cooling; Energie intelligent managen. Weniger Strom, gleiche Kaelte

Energy Technology Data Exchange (ETDEWEB)

Sprado, Joern; Lawo, Michael [Bremen Univ. (DE). Technologie-Zentrum Informatik und Informationstechnik (TZI)

2009-09-15

In cooperation with the company netDV Unternehmensberatung GmbH, the Technology Center for Computational Science (TZI) at the University of Bremen has developed a computer-aided ''assistance system for intelligent energy management'' that considerably reduces the energy consumption of feed refrigeration systems in our supermarkets. Reductions of between 10 and 20 per cent lead to savings in the order of five-digit euro amounts. (orig.)

Stress Testing of Organic Light- Emitting Diode Panels and Luminaires

Energy Technology Data Exchange (ETDEWEB)

Lynn Davis, Kelley Rountree, Karmann Mills

2018-01-31

This report builds on previous DOE efforts with OLED technology by updating information on a previously benchmarked OLED product (the Chalina luminaire from Acuity Brands) and provides new benchmarks on the performance of Brite 2 and Brite Amber OLED panels from OLEDWorks. During the tests described here, samples of these devices were subjected to continuous operation in stress tests at elevated ambient temperature environments of 35°C or 45°C. In addition, samples were also operated continuously at room temperature in a room temperature operational life test (RTOL). One goal of this study was to investigate whether these test conditions can accelerate failure of OLED panels, either through panel shorting or an open circuit in the panel. These stress tests are shown to provide meaningful acceleration of OLED failure modes, and an acceleration factor of 2.6 was calculated at 45°C for some test conditions. In addition, changes in the photometric properties of the emitted light (e.g., luminous flux and chromaticity maintenance) was also evaluated for insights into the long-term stability of these products compared to earlier generations. Because OLEDs are a lighting system, electrical testing was also performed on the panel-driver pairs to provide insights into the impact of the driver on long-term panel performance.

Intelligent systems/software engineering methodology - A process to manage cost and risk

Science.gov (United States)

Friedlander, Carl; Lehrer, Nancy

1991-01-01

A systems development methodology is discussed that has been successfully applied to the construction of a number of intelligent systems. This methodology is a refinement of both evolutionary and spiral development methodologies. It is appropriate for development of intelligent systems. The application of advanced engineering methodology to the development of software products and intelligent systems is an important step toward supporting the transition of AI technology into aerospace applications. A description of the methodology and the process model from which it derives is given. Associated documents and tools are described which are used to manage the development process and record and report the emerging design.

The intelligent clinical laboratory as a tool to increase cancer care management productivity.

Science.gov (United States)

Mohammadzadeh, Niloofar; Safdari, Reza

2014-01-01

Studies of the causes of cancer, early detection, prevention or treatment need accurate, comprehensive, and timely cancer data. The clinical laboratory provides important cancer information needed for physicians which influence clinical decisions regarding treatment, diagnosis and patient monitoring. Poor communication between health care providers and clinical laboratory personnel can lead to medical errors and wrong decisions in providing cancer care. Because of the key impact of laboratory information on cancer diagnosis and treatment the quality of the tests, lab reports, and appropriate lab management are very important. A laboratory information management system (LIMS) can have an important role in diagnosis, fast and effective access to cancer data, decrease redundancy and costs, and facilitate the integration and collection of data from different types of instruments and systems. In spite of significant advantages LIMS is limited by factors such as problems in adaption to new instruments that may change existing work processes. Applications of intelligent software simultaneously with existing information systems, in addition to remove these restrictions, have important benefits including adding additional non-laboratory-generated information to the reports, facilitating decision making, and improving quality and productivity of cancer care services. Laboratory systems must have flexibility to change and have the capability to develop and benefit from intelligent devices. Intelligent laboratory information management systems need to benefit from informatics tools and latest technologies like open sources. The aim of this commentary is to survey application, opportunities and necessity of intelligent clinical laboratory as a tool to increase cancer care management productivity.

The NASA Program Management Tool: A New Vision in Business Intelligence

Science.gov (United States)

Maluf, David A.; Swanson, Keith; Putz, Peter; Bell, David G.; Gawdiak, Yuri

2006-01-01

This paper describes a novel approach to business intelligence and program management for large technology enterprises like the U.S. National Aeronautics and Space Administration (NASA). Two key distinctions of the approach are that 1) standard business documents are the user interface, and 2) a "schema-less" XML database enables flexible integration of technology information for use by both humans and machines in a highly dynamic environment. The implementation utilizes patent-pending NASA software called the NASA Program Management Tool (PMT) and its underlying "schema-less" XML database called Netmark. Initial benefits of PMT include elimination of discrepancies between business documents that use the same information and "paperwork reduction" for program and project management in the form of reducing the effort required to understand standard reporting requirements and to comply with those reporting requirements. We project that the underlying approach to business intelligence will enable significant benefits in the timeliness, integrity and depth of business information available to decision makers on all organizational levels.

Cultural Intelligence as a Key Construct for Global Talent Management

NARCIS (Netherlands)

Bücker, J.J.L.E.; Al Ariss, A.

2014-01-01

This chapter focuses on the competencies needed to undertake global talent management (GTM), according to the concept of cultural intelligence (CQ) and its four main dimensions. Using real-world examples and excerpts from interviews with relevant actors in this field, this chapter outlines the CQ

Intelligent Human Machine Interface Design for Advanced Product Life Cycle Management Systems

OpenAIRE

Ahmed, Zeeshan

2010-01-01

Designing and implementing an intelligent and user friendly human machine interface for any kind of software or hardware oriented application is always be a challenging task for the designers and developers because it is very difficult to understand the psychology of the user, nature of the work and best suit of the environment. This research paper is basically about to propose an intelligent, flexible and user friendly machine interface for Product Life Cycle Management products or PDM Syste...

Decision Support for Software Process Management Teams: An Intelligent Software Agent Approach

National Research Council Canada - National Science Library

Church, Lori

2000-01-01

... to market, eliminate redundancy, and ease job stress. This thesis proposes a conceptual model for software process management decision support in the form of an intelligent software agent network...

A fuzzy logic intelligent diagnostic system for spacecraft integrated vehicle health management

Science.gov (United States)

Wu, G. Gordon

1995-01-01

Due to the complexity of future space missions and the large amount of data involved, greater autonomy in data processing is demanded for mission operations, training, and vehicle health management. In this paper, we develop a fuzzy logic intelligent diagnostic system to perform data reduction, data analysis, and fault diagnosis for spacecraft vehicle health management applications. The diagnostic system contains a data filter and an inference engine. The data filter is designed to intelligently select only the necessary data for analysis, while the inference engine is designed for failure detection, warning, and decision on corrective actions using fuzzy logic synthesis. Due to its adaptive nature and on-line learning ability, the diagnostic system is capable of dealing with environmental noise, uncertainties, conflict information, and sensor faults.

From manager's emotional intelligence to objective store performance: Through store cohesiveness and sales-directed employee behavior

NARCIS (Netherlands)

Wilderom, Celeste P.M.; Hur, YounHee; Wiersma, Uco J.; van den Berg, Peter T.; Lee, Jaehoon

2015-01-01

The relationships among manager's emotional intelligence, store cohesiveness, sales-directed employee behavior, and objective store performance were investigated. Non-managerial sales employees of a large retail electronics chain in South Korea (N = 1611) rated the emotional intelligence of their

The Effect of Perceived Abusive Management of Workers to Their Performance and the Role of Emotional Intelligence on This Effect

Directory of Open Access Journals (Sweden)

Mahmut AKIN

2014-06-01

Full Text Available In this research it is evaluated the effect of perceived abusive management of workers to their performance and the role of emotional intelligence on this effect. Research is realized with 253 civil servants in Kırşehir. Workers performance is handled two dimensional. One of them is task performance and the other one is contextual performance. According to the results, emotional intelligence is diminished or eliminated the effects of abusive management on workers performance. Additionally; emotional intelligence has a positive oriented relationship with task and contextual performance, abusive management has a negative oriented relationship with task and contextual performance. There is a positive oriented relationship between task and contextual performance. Another result of the research is the negative oriented relationship between emotional intelligence and the perceived abusive management.

Management of new information technologies in organisations by intelligent software agents

DEFF Research Database (Denmark)

Abolfazlian, Ali Reza Kian

1996-01-01

I denne artikel præsenteres argumenter for, hvorfor den Kartesianske management model baseret på en kognitiv psykologisk forståelse af organisationer, ikke kan beskrive de forandringsprocesser, som indførelsen af ny informationsteknologi i organisationer forårsager. På denne baggrund definerer vi...... Post-Kartesiansk management. Endvidere argumenteres for, hvordan Intelligent Software Agents kan hjælpe managers med at få en bedre forståelse for de førnævnte forandringer i organisationerne....

Goleman-Boyatzis Model of Emotional Intelligence for Dealing with Problems in Project Management

Directory of Open Access Journals (Sweden)

Peter Vincent Livesey

2017-03-01

Full Text Available As projects grow in size and complexity the sizes of teams needed to manage them also increases. This places greater emphasis on the need for the project manager to develop people management skills, commonly called soft skills, of which emotional intelligence (EI has been recognised as an important component. The objective of this research was to investigate the relevance of the Goleman-Boyatzis model of EI in dealing with the problems in large projects identified via a literature review. To achieve this end, a Delphi study using project managers who had been involved in the management of projects in excess of $500 million was used. The responses from the Delphi panel were analysed and the results showed that the competencies contained in the Goleman-Boyatzis model had a relevance of 95% or greater to the problems presented to the panel. A ranking of the various competencies contained within the model was also developed, some competencies being found to be more important than others. By confirming the importance of emotional intelligence, as described by the model, this research adds to the understanding of the necessary skills needed by a project manager to successfully manage large projects.

A SCADA System for Energy Management in Intelligent Buildings

OpenAIRE

Figueiredo, Joao; Sá da Costa, Jose

2012-01-01

This paper develops an energy management platform for intelligent buildings using a SCADA system (Supervisory Control And Data Acquisition). This SCADA system integrates different types of information coming from the several technologies present in modern buildings (control of ventilation, temperature, illumination, etc.). The developed control strategy implements an hierarchical cascade controller where inner loops are performed by local PLCs (Programmable Logic Controller), and the outer...

Contextual Intelligent Load Management Considering Real Time Pricing in a Smart Grid Environment

DEFF Research Database (Denmark)

Gomes, Luis; Fernandes, Filipe; Faria, Pedro

2013-01-01

The use of demand response programs enables the adequate use of resources of small and medium players, bringing high benefits to the smart grid, and increasing its efficiency. One of the difficulties to proceed with this paradigm is the lack of intelligence in the management of small and medium...... size players. In order to make demand response programs a feasible solution, it is essential that small and medium players have an efficient energy management and a fair optimization mechanism to decrease the consumption without heavy loss of comfort, making it acceptable for the users. This paper...... addresses the application of real-time pricing in a house that uses an intelligent optimization module involving artificial neural networks....

Clinical Data Warehouse: An Effective Tool to Create Intelligence in Disease Management.

Science.gov (United States)

Karami, Mahtab; Rahimi, Azin; Shahmirzadi, Ali Hosseini

Clinical business intelligence tools such as clinical data warehouse enable health care organizations to objectively assess the disease management programs that affect the quality of patients' life and well-being in public. The purpose of these programs is to reduce disease occurrence, improve patient care, and decrease health care costs. Therefore, applying clinical data warehouse can be effective in generating useful information about aspects of patient care to facilitate budgeting, planning, research, process improvement, external reporting, benchmarking, and trend analysis, as well as to enable the decisions needed to prevent the progression or appearance of the illness aligning with maintaining the health of the population. The aim of this review article is to describe the benefits of clinical data warehouse applications in creating intelligence for disease management programs.

ALGORITHMS FOR TRAFFIC MANAGEMENT IN THE INTELLIGENT TRANSPORT SYSTEMS

Directory of Open Access Journals (Sweden)

Andrey Borisovich Nikolaev

2017-09-01

Full Text Available Traffic jams interfere with the drivers and cost billions of dollars per year and lead to a substantial increase in fuel consumption. In order to avoid such problems the paper describes the algorithms for traffic management in intelligent transportation system, which collects traffic information in real time and is able to detect and manage congestion on the basis of this information. The results show that the proposed algorithms reduce the average travel time, emissions and fuel consumption. In particular, travel time has decreased by about 23%, the average fuel consumption of 9%, and the average emission of 10%.

Artificial intelligence applied to fuel management in BWR type reactors

International Nuclear Information System (INIS)

Ortiz S, J.J.

1998-01-01

In this work two techniques of artificial intelligence, neural networks and genetic algorithms were applied to a practical problem of nuclear fuel management; the determination of the optimal fuel reload for a BWR type reactor. This is an important problem in the design of the operation cycle of the reactor. As a result of the application of these techniques, comparable or even better reloads proposals than those given by expert companies in the subject were obtained. Additionally, two other simpler problems in reactor physics were solved: the determination of the axial power profile and the prediction of the value of some variables of interest at the end of the operation cycle of the reactor. Neural networks and genetic algorithms have been applied to solve many problems of engineering because of their versatility but they have been rarely used in the area of fuel management. The results obtained in this thesis indicates the convenience of undertaking further work on this area and suggest the application of these techniques of artificial intelligence to the solution of other problems in nuclear reactor physics. (Author)

DIFFERENCES IN SOCIAL AND MACHIAVELLIAN INTELLIGENCE BETWEEN THE MANAGEMENT STUDENTS FROM THE CZECH AND SLOVAK REPUBLIC

OpenAIRE

Miroslav Frankovský; Zuzana Birknerová

2013-01-01

Identifying and specifying social and Machiavellian intelligence is related to the broader discussion about the existence of several kinds of intelligence. When characterizing these two particular types it is inevitable to take a broader social context defining them into account. In the report we present the results of comparisons of assessing the selected attributes of social and Machiavellian intelligence by the management students from Czech Republic and Slovakia by means of the TSIS metho...

Integrated Systems Health Management for Intelligent Systems

Science.gov (United States)

Figueroa, Fernando; Melcher, Kevin

2011-01-01

The implementation of an integrated system health management (ISHM) capability is fundamentally linked to the management of data, information, and knowledge (DIaK) with the purposeful objective of determining the health of a system. It is akin to having a team of experts who are all individually and collectively observing and analyzing a complex system, and communicating effectively with each other in order to arrive at an accurate and reliable assessment of its health. In this paper, concepts, procedures, and approaches are presented as a foundation for implementing an intelligent systems ]relevant ISHM capability. The capability stresses integration of DIaK from all elements of a system. Both ground-based (remote) and on-board ISHM capabilities are compared and contrasted. The information presented is the result of many years of research, development, and maturation of technologies, and of prototype implementations in operational systems.

Towards Intelligent Supply Chains

DEFF Research Database (Denmark)

Siurdyban, Artur; Møller, Charles

2012-01-01

applied to the context of organizational processes can increase the success rate of business operations. The framework is created using a set of theoretical based constructs grounded in a discussion across several streams of research including psychology, pedagogy, artificial intelligence, learning...... of deploying inapt operations leading to deterioration of profits. To address this problem, we propose a unified business process design framework based on the paradigm of intelligence. Intelligence allows humans and human-designed systems cope with environmental volatility, and we argue that its principles......, business process management and supply chain management. It outlines a number of system tasks combined in four integrated management perspectives: build, execute, grow and innovate, put forward as business process design propositions for Intelligent Supply Chains....

Impact of adoption of yoga way of life on the emotional intelligence of managers

Directory of Open Access Journals (Sweden)

Hasmukh Adhia

2010-03-01

Full Text Available The popular perception that a high intelligence quotient (IQ is not necessarily a good predictor of professional and personal success has led to a growing interest in understanding the role of emotional intelligence (EI in improving the performance of business managers. This paper studies the impact of the yoga way of life on EI using data collected from 60 managers in a business enterprise and reports enhanced EI as a result of the practice of yoga. The results indicate the importance of yoga as an integral element in improving managerial performance in organisations and the need to further explore this construct in greater detail.

ECONOMIC INTELLIGENCE - THEORETICAL AND PRACTICAL ASPECTS

Directory of Open Access Journals (Sweden)

VIRGIL - ION POPOVICI

2014-12-01

Full Text Available Economic Intelligence (EI may be a solution in knowledge management as involves collecting, evaluating, processing, analysis and dissemination of economic data within organizations. The ultimate goal of economic intelligence (EI is to take advantage of this opportunity to develop and improve methods for identifying relevant information sources, analysis of information collected and manipulation, to give the user all the necessary decisions. Scope of the Economic Intelligence focused on information available outside the organization, covering wide areas from technology to market or legal issues. Economic Intelligence (EI is closely related to other approaches to information management, and knowledge management and business intelligence, excelling in the use of software tools.

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...

77 FR 3544 - Meeting and Webinar on the Active Traffic and Demand Management and Intelligent Network Flow...

Science.gov (United States)

2012-01-24

... Intelligent Network Flow Optimization Operational Concepts; Notice of Public Meeting AGENCY: Research and... Demand Management (ADTM) and Intelligent Network Flow Optimization (INFLO) operational concepts. The ADTM... infrastructure. The vision for ATDM research is to allow transportation agencies to increase traffic flow...

The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model.

Science.gov (United States)

Liu, Tongzhu; Shen, Aizong; Hu, Xiaojian; Tong, Guixian; Gu, Wei

2017-06-01

We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process. For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management. Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers.

An Advanced IoT-based System for Intelligent Energy Management in Buildings

Directory of Open Access Journals (Sweden)

Vangelis Marinakis

2018-02-01

Full Text Available The energy sector is closely interconnected with the building sector and integrated Information and Communication Technologies (ICT solutions for effective energy management supporting decision-making at building, district and city level are key fundamental elements for making a city Smart. The available systems are designed and intended exclusively for a predefined number of cases and systems without allowing for expansion and interoperability with other applications that is partially due to the lack of semantics. This paper presents an advanced Internet of Things (IoT based system for intelligent energy management in buildings. A semantic framework is introduced aiming at the unified and standardised modelling of the entities that constitute the building environment. Suitable rules are formed, aiming at the intelligent energy management and the general modus operandi of Smart Building. In this context, an IoT-based system was implemented, which enhances the interactivity of the buildings’ energy management systems. The results from its pilot application are presented and discussed. The proposed system extends existing approaches and integrates cross-domain data, such as the building’s data (e.g., energy management systems, energy production, energy prices, weather data and end-users’ behaviour, in order to produce daily and weekly action plans for the energy end-users with actionable personalised information.

An Advanced IoT-based System for Intelligent Energy Management in Buildings.

Science.gov (United States)

Marinakis, Vangelis; Doukas, Haris

2018-02-16

The energy sector is closely interconnected with the building sector and integrated Information and Communication Technologies (ICT) solutions for effective energy management supporting decision-making at building, district and city level are key fundamental elements for making a city Smart. The available systems are designed and intended exclusively for a predefined number of cases and systems without allowing for expansion and interoperability with other applications that is partially due to the lack of semantics. This paper presents an advanced Internet of Things (IoT) based system for intelligent energy management in buildings. A semantic framework is introduced aiming at the unified and standardised modelling of the entities that constitute the building environment. Suitable rules are formed, aiming at the intelligent energy management and the general modus operandi of Smart Building. In this context, an IoT-based system was implemented, which enhances the interactivity of the buildings' energy management systems. The results from its pilot application are presented and discussed. The proposed system extends existing approaches and integrates cross-domain data, such as the building's data (e.g., energy management systems), energy production, energy prices, weather data and end-users' behaviour, in order to produce daily and weekly action plans for the energy end-users with actionable personalised information.

An Advanced IoT-based System for Intelligent Energy Management in Buildings

Science.gov (United States)

Doukas, Haris

2018-01-01

The energy sector is closely interconnected with the building sector and integrated Information and Communication Technologies (ICT) solutions for effective energy management supporting decision-making at building, district and city level are key fundamental elements for making a city Smart. The available systems are designed and intended exclusively for a predefined number of cases and systems without allowing for expansion and interoperability with other applications that is partially due to the lack of semantics. This paper presents an advanced Internet of Things (IoT) based system for intelligent energy management in buildings. A semantic framework is introduced aiming at the unified and standardised modelling of the entities that constitute the building environment. Suitable rules are formed, aiming at the intelligent energy management and the general modus operandi of Smart Building. In this context, an IoT-based system was implemented, which enhances the interactivity of the buildings’ energy management systems. The results from its pilot application are presented and discussed. The proposed system extends existing approaches and integrates cross-domain data, such as the building’s data (e.g., energy management systems), energy production, energy prices, weather data and end-users’ behaviour, in order to produce daily and weekly action plans for the energy end-users with actionable personalised information. PMID:29462957

Intelligence analysis – the royal discipline of Competitive Intelligence

Directory of Open Access Journals (Sweden)

František Bartes

2011-01-01

Full Text Available The aim of this article is to propose work methodology for Competitive Intelligence teams in one of the intelligence cycle’s specific area, in the so-called “Intelligence Analysis”. Intelligence Analysis is one of the stages of the Intelligence Cycle in which data from both the primary and secondary research are analyzed. The main result of the effort is the creation of added value for the information collected. Company Competiitve Intelligence, correctly understood and implemented in business practice, is the “forecasting of the future”. That is forecasting about the future, which forms the basis for strategic decisions made by the company’s top management. To implement that requirement in corporate practice, the author perceives Competitive Intelligence as a systemic application discipline. This approach allows him to propose a “Work Plan” for Competitive Intelligence as a fundamental standardized document to steer Competitive Intelligence team activities. The author divides the Competitive Intelligence team work plan into five basic parts. Those parts are derived from the five-stage model of the intelligence cycle, which, in the author’s opinion, is more appropriate for complicated cases of Competitive Intelligence.

A Business Intelligence Framework for Sustainability Information Management in Higher Education

Science.gov (United States)

Scholtz, Brenda; Calitz, Andre; Haupt, Ross

2018-01-01

Purpose: Higher education institutions (HEIs) face a number of challenges in effectively managing and reporting on sustainability information, such as siloes of data and a limited distribution of information. Business intelligence (BI) can assist in addressing the challenges faced by organisations. The purpose of this study was to propose a BI…

Intelligent Information System for Waste Management; Jaetehuollon aelykaes tietojaerjestelmae iWaste

Energy Technology Data Exchange (ETDEWEB)

Mustonen, T. [Kuopio Univ. (Finland)

2003-07-01

'iWaste' is a project for developing and testing intelligent computational methods for more comprehensive waste management. Important issues are automated reporting, optimisation of waste collection, forecasting of waste formation, data handling of waste disposal sites and simulation and modelling of regional waste management. The main objective of the project is to identify and analyse known sources of information and to link them to the existing information processing systems in the field of waste management. Additionally, the goal is to identify and test functional elements that could be developed further to software products and services. The results of the project can be categorized into three sectors. Firstly, the guidelines for a comprehensive information system in waste management will be created. This includes the requirement specifications of different parties, definitions for the data exchange interfaces and an architectural plan for software products capable of co-operative processing. Secondly, the central parts of the intelligent information system will be piloted using the research database collected in the early stage of the project. The main topics investigated are data quality, the use of Geographical Information Systems (GIS), automated reporting, optimisation of waste collection and forecasting of waste formation. Additionally, the pilot information system can be utilized in derivative projects to speed up the starting phases of them. This makes it possible to create persistent development of waste management information systems both academically and commercially. (orig.)

Engineering and management of IT-based service systems an intelligent decision-making support systems approach

CERN Document Server

Gomez, Jorge; Garrido, Leonardo; Perez, Francisco

2014-01-01

Intelligent Decision-Making Support Systems (i-DMSS) are specialized IT-based systems that support some or several phases of the individual, team, organizational or inter-organizational decision making process by deploying some or several intelligent mechanisms. This book pursues the following academic aims: (i) generate a compendium of quality theoretical and applied contributions in Intelligent Decision-Making Support Systems (i-DMSS) for engineering and management IT-based service systems (ITSS); (ii)  diffuse scarce knowledge about foundations, architectures and effective and efficient methods and strategies for successfully planning, designing, building, operating, and evaluating i-DMSS for ITSS, and (iii) create an awareness of, and a bridge between ITSS and i-DMSS academicians and practitioners in the current complex and dynamic engineering and management ITSS organizational. The book presents a collection of 11 chapters referring to relevant topics for both IT service systems and i-DMSS including: pr...

The Effect of Moral Reasoning Level and Emotional Intelligence on Employment Ethics Assessment of Earnings Management

Directory of Open Access Journals (Sweden)

Dewita Puspawati

2018-04-01

Full Text Available The purpose of this study is to examine the influence of moral level reasoning and emotional intelligence on the assessment of earnings management ethics. The theory used is the theory of planned behavior. Respondents in this study are S1 Accounting Department Faculty of Economics and Business University of Muhammadiyah Surakarta. The samples used were 89 respondents with convenience sampling technique. The results showed that the moral level of reasoning affect the evaluation of earnings management ethics, while emotional intelligence does not affect the dependent variable.

Nursing and pharmacy students' use of emotionally intelligent behaviours to manage challenging interpersonal situations with staff during clinical placement: A qualitative study.

Science.gov (United States)

McCloughen, Andrea; Foster, Kim

2017-04-20

To identify challenging interpersonal interactions experienced by nursing and pharmacy students during clinical placement, and strategies used to manage those situations. Healthcare students and staff experience elevated stress when exposed to dynamic clinical environments, complex care and challenging professional relationships. Emotionally intelligent behaviours are associated with appropriate recognition and management of emotions evoked by stressful experiences and development of effective relationships. Nursing and pharmacy students' use of emotionally intelligent behaviours to manage challenging interpersonal situations is not well known. A qualitative design, using semi-structured interviews to explore experiences of challenging interpersonal situations during clinical placement (Phase two of a larger mixed-methods study). Final-year Australian university nursing and pharmacy students (n = 20) were purposefully recruited using a range of Emotional Intelligence scores (derived in Phase one), measured using the GENOS Emotional intelligence Inventory (concise version). Challenging interpersonal situations involving student-staff and intrastaff conflict, discourteous behaviour and criticism occurred during clinical placement. Students used personal and relational strategies, incorporating emotionally intelligent behaviours, to manage these encounters. Strategies included reflecting and reframing, being calm, controlling discomfort and expressing emotions appropriately. Emotionally intelligent behaviours are effective to manage stressful interpersonal interactions. Methods for strengthening these behaviours should be integrated into education of nursing and pharmacy students and qualified professionals. Education within the clinical/workplace environment can incorporate key interpersonal skills of collaboration, social interaction and reflection, while also attending to sociocultural contexts of the healthcare setting. Students and staff are frequently exposed

Design for interaction between humans and intelligent systems during real-time fault management

Science.gov (United States)

Malin, Jane T.; Schreckenghost, Debra L.; Thronesbery, Carroll G.

1992-01-01

Initial results are reported to provide guidance and assistance for designers of intelligent systems and their human interfaces. The objective is to achieve more effective human-computer interaction (HCI) for real time fault management support systems. Studies of the development of intelligent fault management systems within NASA have resulted in a new perspective of the user. If the user is viewed as one of the subsystems in a heterogeneous, distributed system, system design becomes the design of a flexible architecture for accomplishing system tasks with both human and computer agents. HCI requirements and design should be distinguished from user interface (displays and controls) requirements and design. Effective HCI design for multi-agent systems requires explicit identification of activities and information that support coordination and communication between agents. The effects are characterized of HCI design on overall system design and approaches are identified to addressing HCI requirements in system design. The results include definition of (1) guidance based on information level requirements analysis of HCI, (2) high level requirements for a design methodology that integrates the HCI perspective into system design, and (3) requirements for embedding HCI design tools into intelligent system development environments.

Intelligent control and maintenance of management integrated system based on multi-agents for coal preparation plant

Energy Technology Data Exchange (ETDEWEB)

Meng, F.; Wang, Y. [China University of Mining and technology, Xuzhou (China). School of Information and Electrical Engineering

2006-06-15

This paper discusses the progress of computer integrated processing (CIPS) of coal preparation and then presents an intelligence controlled production process, device-maintenance and production-management system of coal preparation based on multi-agents (IICMMS-CP). The construction of the IICMMS-CP, the distributed network control system based on live intelligence control stations and the strategy of implementing a distributed intelligence control system are studied in order to overcome the disadvantages brought about by the wide use of the PLC system by coal preparation plants. The software frame, based on a Multi-Agent Intelligence Control and Maintenance Management integrated system, is studied and the implementation methods of IICMMS-CP are discussed. The characteristics of distributed architecture, cooperation and parallel computing meet the needs of integrated control of coal preparation plants with large-scale spatial production distribution, densely-related processes and complex systems. Its application further improves the reliability and precision of process control, accuracy of fault identification and intelligence of production adjustment, establishes a technical basis for system integration and flexible production. The main function of the system has been tested in a coal preparation plant to good effect in stabilizing product quality, improving efficiency and reducing consumption. 17 refs., 4 figs.

Intelligent multi-objective optimization for building energy and comfort management

Directory of Open Access Journals (Sweden)

Pervez Hameed Shaikh

2018-04-01

Full Text Available The rapid economic and population growth in developing countries, effective and efficient energy usage has turned out to be crucial due to the rising concern of depleting fossil fuels, of which, one-third of primary energy is consumed in buildings and expected to rise by 53% up to 2030. This roaring sector posing a challenge, due to 90% of people spend most of their time in buildings, requires enhanced well-being of indoor environment and living standards. Therefore, building operations require more energy because most of the energy is consumed to make the indoor environment comfortable. Consequently, there is the need of improved energy efficiency to decrease energy consumption in buildings. In relation to this, the primary challenge of building control systems is the energy consumption and comfort level are generally conflicting to each other. Therefore, an important problem of sustainable smart buildings is to effectively manage the energy consumption and comfort and attain the trade-off between the two. Thus, smart buildings are becoming a trend of future construction that facilitates intelligent control in buildings for the fulfillment of occupant’s comfort level. In this study, an intelligent multi-objective system has been developed with evolutionary multi-objective genetic algorithm (MOGA optimization method. The corresponding case study simulation results for the effective management of users’ comfort and energy efficiency have been carried out. The case study results show the management of energy supply for each comfort parameter and maintain high comfort index achieving balance between the energy consumption and comfort level. Keywords: Energy, Buildings, Comfort, Management, Optimization, Trade-off

The Application of Collaborative Business Intelligence Technology in the Hospital SPD Logistics Management Model

Science.gov (United States)

LIU, Tongzhu; SHEN, Aizong; HU, Xiaojian; TONG, Guixian; GU, Wei

2017-01-01

Background: We aimed to apply collaborative business intelligence (BI) system to hospital supply, processing and distribution (SPD) logistics management model. Methods: We searched Engineering Village database, China National Knowledge Infrastructure (CNKI) and Google for articles (Published from 2011 to 2016), books, Web pages, etc., to understand SPD and BI related theories and recent research status. For the application of collaborative BI technology in the hospital SPD logistics management model, we realized this by leveraging data mining techniques to discover knowledge from complex data and collaborative techniques to improve the theories of business process. Results: For the application of BI system, we: (i) proposed a layered structure of collaborative BI system for intelligent management in hospital logistics; (ii) built data warehouse for the collaborative BI system; (iii) improved data mining techniques such as supporting vector machines (SVM) and swarm intelligence firefly algorithm to solve key problems in hospital logistics collaborative BI system; (iv) researched the collaborative techniques oriented to data and business process optimization to improve the business processes of hospital logistics management. Conclusion: Proper combination of SPD model and BI system will improve the management of logistics in the hospitals. The successful implementation of the study requires: (i) to innovate and improve the traditional SPD model and make appropriate implement plans and schedules for the application of BI system according to the actual situations of hospitals; (ii) the collaborative participation of internal departments in hospital including the department of information, logistics, nursing, medical and financial; (iii) timely response of external suppliers. PMID:28828316

Quality control of intelligence research

International Nuclear Information System (INIS)

Lu Yan; Xin Pingping; Wu Jian

2014-01-01

Quality control of intelligence research is the core issue of intelligence management, is a problem in study of information science This paper focuses on the performance of intelligence to explain the significance of intelligence research quality control. In summing up the results of the study on the basis of the analysis, discusses quality control methods in intelligence research, introduces the experience of foreign intelligence research quality control, proposes some recommendations to improve quality control in intelligence research. (authors)

Towards an intelligent learning management system under blended learning trends, profiles and modeling perspectives

CERN Document Server

Dias, Sofia B; Hadjileontiadis, Leontios J

2013-01-01

This book offers useful information that evokes initiatives towards rethinking of the value, efficiency, inclusiveness, effectiveness and personalization of the intelligent learning management systems-based blended-learning environment.

Intelligent data analysis: the best approach for chronic heart failure (CHF) follow up management.

Science.gov (United States)

Mohammadzadeh, Niloofar; Safdari, Reza; Baraani, Alireza; Mohammadzadeh, Farshid

2014-08-01

Intelligent data analysis has ability to prepare and present complex relations between symptoms and diseases, medical and treatment consequences and definitely has significant role in improving follow-up management of chronic heart failure (CHF) patients, increasing speed ​​and accuracy in diagnosis and treatments; reducing costs, designing and implementation of clinical guidelines. The aim of this article is to describe intelligent data analysis methods in order to improve patient monitoring in follow and treatment of chronic heart failure patients as the best approach for CHF follow up management. Minimum data set (MDS) requirements for monitoring and follow up of CHF patient designed in checklist with six main parts. All CHF patients that discharged in 2013 from Tehran heart center have been selected. The MDS for monitoring CHF patient status were collected during 5 months in three different times of follow up. Gathered data was imported in RAPIDMINER 5 software. Modeling was based on decision trees methods such as C4.5, CHAID, ID3 and k-Nearest Neighbors algorithm (K-NN) with k=1. Final analysis was based on voting method. Decision trees and K-NN evaluate according to Cross-Validation. Creating and using standard terminologies and databases consistent with these terminologies help to meet the challenges related to data collection from various places and data application in intelligent data analysis. It should be noted that intelligent analysis of health data and intelligent system can never replace cardiologists. It can only act as a helpful tool for the cardiologist's decisions making.

Intelligent information system for waste management; Jaetehuollon aelykaes tietojaerjestelmae

Energy Technology Data Exchange (ETDEWEB)

Nuortio, T. [Kuopio Univ. (Finland)

2005-07-01

'iWaste - Intelligent Information System for Waste Management' - was a joint project of the University of Kuopio and the Tampere University of Technology. The main objective of the project was to improve the management and use of waste management data. Also the project focused on the development of information management systems. The results of the project are numerous. A study of the present state of information management in the field of waste management was carried out. The studied aspects were for example information needs of different actors and their requirements for the information quality, communication requirements among different actors, and the characteristics and applications of the software products. The conceptual data model of waste management was developed and resulted as the hyper document for connecting waste and information management specialists, and for research and educational purposes. Also, this model can be used for the development of political regulation. Methodologies and models for processing data into information for decision making were developed. The methodologies and models include e.g. data mining techniques, prediction of waste generation and optimisation of waste pick-up and transport. (orig.)

Semantic Business Intelligence - a New Generation of Business Intelligence

Directory of Open Access Journals (Sweden)

Dinu AIRINEI

2012-01-01

Full Text Available Business Intelligence Solutions represents applications used by companies to manage process and analyze data to provide substantiated decision. In the context of Semantic Web develop-ment trend is to integrate semantic unstructured data, making business intelligence solutions to be redesigned in such a manner that can analyze, process and synthesize, in addition to traditional data and data integrated with semantic another form and structure. This invariably leads appearance of new BI solution, called Semantic Business Intelligence.

ABOUT EMOTIONAL INTELLIGENCE AND LEADERSHIP

Directory of Open Access Journals (Sweden)

RADULESCU Corina Michaela

2012-12-01

Full Text Available This article is, because of its topic of study, a part of management and includes details regarding the important role of emotional intelligence in management and leadership. The importance of this problem is related to the fact that, in Romanian management, this concept (being of a psycho-management nature, is poorly understood. Emotional intelligence is still a highly publicized concept in the West, subject to many controversies between recognized experts in various fields: organizational management, leadership, psychology, sociology. The target of the article is to highlight the fact that there are few management or recruitment consulting firms in Romania that support emotional intelligence development programs, and fewer are the organizations that realize the impact it has in running a business. Since 1995, from the first publication of Daniel Goleman's book, "Emotional intelligence", EQ has become one of the most debated concepts in U.S management. The content of the article calls for a new business climate, ensuring professional excellence. We want this to be "a guide" in cultivating emotional intelligence in individuals, groups and organizations, through leadership, trying to validate the scientific aspect. Because we live in a time when future projects depend increasingly more on self-control and on the art with which we know to maintain interpersonal relationships, such guidelines are necessary to prevent future challenges. The contribution of the authors brings to the forefront the debate about management, behavior management, the concept of emotional intelligence and the importance of understanding, knowing its substance, and the manner in which the management process has to be adopted in order to achieve positive results in an organization, as a system. Businessmen with a preemptive mind will encourage and support such an education in business, not only to improve the quality of management in their organization but also for the

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

Directory of Open Access Journals (Sweden)

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.

Intelligent Power Management of hybrid Wind/ Fuel Cell/ Energy Storage Power Generation System

OpenAIRE

A. Hajizadeh; F. Hassanzadeh

2013-01-01

This paper presents an intelligent power management strategy for hybrid wind/ fuel cell/ energy storage power generation system. The dynamic models of wind turbine, fuel cell and energy storage have been used for simulation of hybrid power system. In order to design power flow control strategy, a fuzzy logic control has been implemented to manage the power between power sources. The optimal operation of the hybrid power system is a main goal of designing power management strategy. The hybrid ...

Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems

OpenAIRE

Lei, Ao; Cruickshank, Haitham; Cao, Y; Asuquo, Philip; Anyigor Ogah, Chibueze Pascal; Sun, Zhili

2017-01-01

As modern vehicle and communication technologies advanced apace, people begin to believe that Intelligent Transportation System (ITS) would be achievable in one decade.\\ud ITS introduces information technology to the transportation infrastructures and aims to improve road safety and traffic efficiency. However, security is still a main concern in Vehicular Communication Systems (VCS). This can be addressed through secured group broadcast. Therefore, secure key management schemes are considere...

Intelligence Community Spending: Trends and Issues

Science.gov (United States)

2016-11-08

The Deputy Director CIA manages the CIAP. Funds CIA activities to include HUMINT and OSINT . The CIAP funds everything related to the CIA. It...Human Intelligence (HUMINT); Imagery Intelligence (IMINT); Measurement and Signature Intelligence (MASINT); Open Source Intelligence ( OSINT ); and

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.

Considerations on Accounting Intelligent Systems Importance

Directory of Open Access Journals (Sweden)

2007-01-01

Full Text Available Managers begin to realize the importance of artificial intelligence technologies for their organizations. Knowledge is today seen as the main organizational resource and that is what intelligent systems are about: manipulating knowledge. In this paper we highlight the main reasons that an accountant can bring to his managers to emphasize this idea: intelligent systems are really needful in modern accounting.

An intelligent content discovery technique for health portal content management.

Science.gov (United States)

De Silva, Daswin; Burstein, Frada

2014-04-23

Continuous content management of health information portals is a feature vital for its sustainability and widespread acceptance. Knowledge and experience of a domain expert is essential for content management in the health domain. The rate of generation of online health resources is exponential and thereby manual examination for relevance to a specific topic and audience is a formidable challenge for domain experts. Intelligent content discovery for effective content management is a less researched topic. An existing expert-endorsed content repository can provide the necessary leverage to automatically identify relevant resources and evaluate qualitative metrics. This paper reports on the design research towards an intelligent technique for automated content discovery and ranking for health information portals. The proposed technique aims to improve efficiency of the current mostly manual process of portal content management by utilising an existing expert-endorsed content repository as a supporting base and a benchmark to evaluate the suitability of new content A model for content management was established based on a field study of potential users. The proposed technique is integral to this content management model and executes in several phases (ie, query construction, content search, text analytics and fuzzy multi-criteria ranking). The construction of multi-dimensional search queries with input from Wordnet, the use of multi-word and single-word terms as representative semantics for text analytics and the use of fuzzy multi-criteria ranking for subjective evaluation of quality metrics are original contributions reported in this paper. The feasibility of the proposed technique was examined with experiments conducted on an actual health information portal, the BCKOnline portal. Both intermediary and final results generated by the technique are presented in the paper and these help to establish benefits of the technique and its contribution towards effective

Development of Intelligent Database Program for PSI/ISI Data Management of Nuclear Power Plant (Part II)

International Nuclear Information System (INIS)

Park, Un Su; Park, Ik Keun; Um, Byong Guk; Lee, Jong Po; Han, Chi Hyun

2000-01-01

In a previous paper, we have discussed the intelligent Windows 95-based data management program(IDPIN) which was developed for effective and efficient management of large amounts of pre-/in-service inspection(PSI/ISI) data of Kori nuclear power plants. The IDPIN program enables the prompt extraction of previously conducted PSI/ISI conditions and results so that the time-consuming data management, painstaking data processing and analysis of the past are avoided. In this study, the intelligent Windows based data management program(WS-IDPIN) has been developed as an effective data management of PSI/ISI data for the Wolsong nuclear power plants. The WS-IDPIN program includes the modules of comprehensive management and analysis of PSI/ISI results, statistical reliability assessment program of PSI/ISI results(depth and length sizing performance etc), standardization of UT report form and computerization of UT results. In addition, the program can be further developed as a unique PSI/ISI data management expert system which can be part of the PSI/ISI total support system for Korean nuclear power plants

SNMP-SI: A Network Management Tool Based on Slow Intelligence System Approach

Science.gov (United States)

Colace, Francesco; de Santo, Massimo; Ferrandino, Salvatore

The last decade has witnessed an intense spread of computer networks that has been further accelerated with the introduction of wireless networks. Simultaneously with, this growth has increased significantly the problems of network management. Especially in small companies, where there is no provision of personnel assigned to these tasks, the management of such networks is often complex and malfunctions can have significant impacts on their businesses. A possible solution is the adoption of Simple Network Management Protocol. Simple Network Management Protocol (SNMP) is a standard protocol used to exchange network management information. It is part of the Transmission Control Protocol/Internet Protocol (TCP/IP) protocol suite. SNMP provides a tool for network administrators to manage network performance, find and solve network problems, and plan for network growth. SNMP has a big disadvantage: its simple design means that the information it deals with is neither detailed nor well organized enough to deal with the expanding modern networking requirements. Over the past years much efforts has been given to improve the lack of Simple Network Management Protocol and new frameworks has been developed: A promising approach involves the use of Ontology. This is the starting point of this paper where a novel approach to the network management based on the use of the Slow Intelligence System methodologies and Ontology based techniques is proposed. Slow Intelligence Systems is a general-purpose systems characterized by being able to improve performance over time through a process involving enumeration, propagation, adaptation, elimination and concentration. Therefore, the proposed approach aims to develop a system able to acquire, according to an SNMP standard, information from the various hosts that are in the managed networks and apply solutions in order to solve problems. To check the feasibility of this model first experimental results in a real scenario are showed.

Nurse managers' strategies for feeling less drained by their work: an action research and reflection project for developing emotional intelligence.

Science.gov (United States)

Taylor, Bev; Roberts, Sue; Smyth, Therese; Tulloch, Moira

2015-10-01

To raise nurse managers' critical awareness of practice problems; uncover practice constraints and improve work effectiveness. Nurse management requires skills and knowledge, underscored by emotional intelligence. The research improved participants' practice and personal insights. Purposive sampling targeted nurse managers interested in improving their practice. Three experienced female nurse managers met fortnightly in a group, for 1 hour, for 10 meetings. The methods included: writing and sharing de-identified journal reflections; critically analysing practice stories; identifying a thematic concern; generating action strategies; and instituting and revising the action plan. Phase One resulted in the identification of the issue of 'being drained by the intensity of nurse managers' work'. The participants adopted five strategies: debriefing problematic situations; deflecting multiple requests; diffusing issues; naming dysfunctional behaviours; and regrouping. In Phase Two, participants implemented and revised the action plan strategies, which resulted in them feeling less drained by their work. Strategies can lessen nurse managers' sense of personal depletion. However, strategies cannot guarantee success every time because the emotional intelligence is integral to nurse management. Action research and reflection assist nurse managers to improve their practice and develop their emotional intelligence. © 2014 John Wiley & Sons Ltd.

Effect of Emotional Intelligence on Student Learning Achievement

Directory of Open Access Journals (Sweden)

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.

The Relationship of Business Intelligence Systems to Organizational Performance Benefits: A Structural Equation Modeling of Management Decision Making

Science.gov (United States)

Sparks, Betsy H.

2014-01-01

Business Intelligence is a major expenditure in many organizations and necessary for competitive advantage. These expenditures do not result in maximum benefits for the organization if the information obtained from the Business Intelligence System (BIS) is not used in the management decision-making process. This quantitative research study used an…

An Intelligent V2I-Based Traffic Management System

OpenAIRE

Milanés , Vicente; Villagra , Jorge; Godoy , Jorge; Simó , Javier; Pérez Rastelli , Joshué; Onieva , Enrique

2012-01-01

International audience; Vehicles equipped with intelligent systems designed to prevent accidents, such as collision warning systems (CWSs) or lane-keeping assistance (LKA), are now on the market. The next step in reducing road accidents is to coordinate such vehicles in advance not only to avoid collisions but to improve traffic flow as well. To this end, vehicle-to-infrastructure (V2I) communications are essential to properly manage traffic situations. This paper describes the AUTOPIA approach ...

Emotionally intelligent leadership as a key determinant of strategic and effective management of human capital

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Helena Viskupičová

2016-06-01

Full Text Available The purpose of this paper is to outline the strategic importance of Emotional Intelligence (EI in contemporary approaches to management of Human resources (HR. The aim of this study is to provide a conceptual theoretical insight of the relationship between EI and leadership. The paper also reflects the conditions within the present business environment in Slovakia with the emphasis on leadership in the context of EI (based on the research conducted in this field, while answering the following question: To what extent do Slovak organizations incorporate EI measures into the hiring process for managerial positions? The answer to this question would consequently disclose whether organizations in Slovakia consider Emotional Intelligence as a factor determining effective performance of managers – leaders.

An Intelligent Handover Management System for Future Generation Wireless Networks

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Kassar Meriem

2008-01-01

Full Text Available Abstract Future generation wireless networks should provide to mobile users the best connectivity to services anywhere at anytime. The most challenging problem is the seamless intersystem/vertical mobility across heterogeneous wireless networks. In order to answer it, a vertical handover management system is needed. In our paper, we propose an intelligent solution answering user requirements and ensuring service continuity. We focus on a vertical handover decision strategy based on the context-awareness concept. The given strategy chooses the appropriate time and the most suitable access network among those available to perform a handover. It uses advanced decision algorithms (for more efficiency and intelligence and it is governed by handover policies as decision rules (for more flexibility and optimization. To maintain a seamless service continuity, handover execution is based on mobile IP functionalities. We study our decision system in a case of a 3G/UMTS-WLAN scenario and we discuss all the handover decision issues in our solution.

Artificial intelligence executive summary

International Nuclear Information System (INIS)

Wamsley, S.J.; Purvis, E.E. III

1984-01-01

Artificial intelligence (AI) is a high technology field that can be used to provide problem solving diagnosis, guidance and for support resolution of problems. It is not a stand alone discipline, but can also be applied to develop data bases for retention of the expertise that is required for its own knowledge base. This provides a way to retain knowledge that otherwise may be lost. Artificial Intelligence Methodology can provide an automated construction management decision support system, thereby restoring the manager's emphasis to project management

Application of Artificial Intelligence for Optimization in Pavement Management

Directory of Open Access Journals (Sweden)

Reus Salini

2015-07-01

Full Text Available Artificial intelligence (AI is a group of techniques that have quite a potential to be applied to pavement engineering and management. In this study, we developed a practical, flexible and out of the box approach to apply genetic algorithms to optimizing the budget allocation and the road maintenance strategy selection for a road network. The aim is to provide an alternative to existing software and better fit the requirements of an important number of pavement managers. To meet the objectives, a new indicator, named Road Global Value Index (RGVI, was created to contemplate the pavement condition, the traffic and the economic and political importance for each and every road section. This paper describes the approach and its components by an example confirming that genetic algorithms are very effective for the intended purpose.

The Impact of Business Intelligence (BI Competence on Customer Relationship Management (CRM Process: An Empirical Investigation of the Banking Industry

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Ali Mortezaei

2018-03-01

Full Text Available Nowadays, establishing long-term and effective relationships with customers is a key factor in understanding customers’ needs and preferences and achieving competitive advantage. In addition, companies are facing with a growing need for information and analytical knowledge about their customers, market, competitors, organizational environment, and other factors affecting their business. Business intelligence has been considered as a response to this need. The purpose of this study is to investigate the role of business intelligence competence in improving customer relationship management process. Based on the literature review and the competence – capability relationship paradigm, a conceptual model was developed comprising of different dimensions of business intelligence competence and customer relationship management processes. The data were collected from the banking sector and partial least squares structural equation modelling was employed for data analysis. Empirical results showed that organizational business intelligence competence, comprising of managerial, technical, and cultural competence, has a significantly positive impact on enhancing capabilities of customer relationship management process including initiation, maintenance, and termination of the relationship.

Intelligent Lighting Control System

OpenAIRE

García, Elena; Rodríguez González, Sara; de Paz Santana, Juan F.; Bajo Pérez, Javier

2014-01-01

This paper presents an adaptive architecture that allows centralized control of public lighting and intelligent management, in order to economise on lighting and maintain maximum comfort status of the illuminated areas. To carry out this management, architecture merges various techniques of artificial intelligence (AI) and statistics such as artificial neural networks (ANN), multi-agent systems (MAS), EM algorithm, methods based on ANOVA and a Service Oriented Aproach (SOA). It performs optim...

Agile Development for Service Oriented Business Intelligence Solutions

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Marinela MIRCEA

2011-03-01

Full Text Available Considering the evolution of information and communications technology, the necessity of alignment of public and private sectors to European Union requirements, the current economic crisis, and the global context, all organizations are trying to achieve major changes that would enable them to operate as intelligent organizations. For this purpose, agility and Business Intelligence are seen by most managers as a way to transform their organizations into intelligent organizations. The study highlights the importance of modern approaches (Service Oriented Architecture, Business Process Management, Business Rules, Cloud Computing, Master Data Management in developing agile Business Intelligence solutions. The paper also presents the stages of developing an agile Business Intelligence solution in the case of public procurement.

Center for information management and intelligence of the School of Public Legal Defense of the State of Bahia

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Barbara Coelho Neves

2012-04-01

Full Text Available This paper presents the experience report about the implementation of the Center for Information Management and Intelligence administered by the Library of the Public Defender of the State of Bahia. The Center aims to corroborate the information stock, based on capturing the tacit knowledge of public Defenders of DPE. Aspires to social inclusion and the preservation of memory used in human rights activities defensoriais developed. The biggest benefit of creating the Center for Information Management and Intelligence is to provide the availability of information gained by the defenders in a structured way, to all persons interested in the topics defensoriais seized through legal experiences, conferences, training courses, seminars, workshops , Among others. The Center for Information Management and Intelligence of the DPE Library is an important way to efficiently connect "those who know" with those who "need to know" and converting personal knowledge into the organization's memory. For this, the proposal develops the collection, storage, management and dissemination of knowledge with a methodology based on models of the authors Nonaka and Takeuchi, with the help of teenagers "apprentices" in fulfillment of socio-educational measure the Mother City Foundation.

Design of intelligent power consumption optimization and visualization management platform for large buildings based on internet of things

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Gong Shulan

2017-01-01

Full Text Available The buildings provide a significant contribution to total energy consumption and CO2 emission. It has been estimated that the development of an intelligent power consumption monitor and control system will result in about 30% savings in energy consumption. This design innovatively integrates the advanced technologies such as the internet of things, the internet, intelligent buildings and intelligent electricity which can offer open, efficient, convenient energy consumption detection platform in demand side and visual management demonstration application platform in power enterprises side. The system was created to maximize the effective and efficient the use of energy resource. It was development around sensor networks and intelligent gateway and the monitoring center software. This will realize the highly integration and comprehensive application in energy and information to meet the needs with intelligent buildings

8th KES International Conference on Intelligent Decision Technologies

CERN Document Server

Caballero, Alfonso; Howlett, Robert; Jain, Lakhmi

2016-01-01

The KES-IDT-2016 proceedings give an excellent insight into recent research, both theoretical and applied, in the field of intelligent decision making. The range of topics explored is wide, and covers methods of grouping, classification, prediction, decision support, modelling and many more in such areas as finance, linguistics, medicine, management and transportation. This proceedings contain several sections devoted to specific topics, such as: · Specialized Decision Techniques for Data Mining, Transportation and Project Management · Pattern Recognition for Decision Making Systems · New Advances of Soft Computing in Industrial and Management Engineering · Recent Advances in Fuzzy Systems · Intelligent Data Analysis and Applications · Reasoning-based Intelligent Systems · Intelligent Methods for Eye Movement Data Processing and Analysis · Intelligent Decision Technologies for Water Resources Management · Intelligent Decision Making for Uncertain Unstructured Big Data · Decision Making Theory for Ec...

Intelligent Digitized Design Systems for the Management of Design Knowledge Related to Nuclear R&D Institutes

International Nuclear Information System (INIS)

Zheng, M.; Minglu, W.

2016-01-01

Full text: Nuclear R&D is highly knowledge-intensive. With the rapid advent and development of modern information technology, knowledge management in nuclear industry has been provided with new approaches and possibilities. This article introduces a framework of intelligent digitized design system in nuclear R&D phase and finds answer to knowledge application, internal process optimization, experience feedback and further innovation. This framework utilizing digitalization and informatization finds a way to incorporate the process of the “Socialization, Externalization, Combination, Internalization” (SECI) model which include intelligent design process, integrated design software, smart verification and validation simulation platform, experiment data management platform, online monitoring platform and digital twin nuclear power plant, etc. The following case study gives a clear picture of what and how knowledge management has been performed under this framework. Furthermore, important lessons have been summarized. (author

Business Intelligence using Software Agents

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Ana-Ramona BOLOGA

2011-12-01

Full Text Available This paper presents some ideas about business intelligence today and the importance of developing real time business solutions. The authors make an exploration of links between business intelligence and artificial intelligence and focuses specifically on the implementation of software agents-based systems in business intelligence. There are briefly presented some of the few solutions proposed so far that use software agents properties for the benefit of business intelligence. The authors then propose some basic ideas for developing real-time agent-based software system for business intelligence in supply chain management, using Case Base Reasoning Agents.

Intelligent Resource Management for Local Area Networks: Approach and Evolution

Science.gov (United States)

Meike, Roger

1988-01-01

The Data Management System network is a complex and important part of manned space platforms. Its efficient operation is vital to crew, subsystems and experiments. AI is being considered to aid in the initial design of the network and to augment the management of its operation. The Intelligent Resource Management for Local Area Networks (IRMA-LAN) project is concerned with the application of AI techniques to network configuration and management. A network simulation was constructed employing real time process scheduling for realistic loads, and utilizing the IEEE 802.4 token passing scheme. This simulation is an integral part of the construction of the IRMA-LAN system. From it, a causal model is being constructed for use in prediction and deep reasoning about the system configuration. An AI network design advisor is being added to help in the design of an efficient network. The AI portion of the system is planned to evolve into a dynamic network management aid. The approach, the integrated simulation, project evolution, and some initial results are described.

Business Intelligence Systems

Directory of Open Access Journals (Sweden)

Bogdan NEDELCU

2014-02-01

Full Text Available The aim of this article is to show the importance of business intelligence and its growing influence. It also shows when the concept of business intelligence was used for the first time and how it evolved over time. The paper discusses the utility of a business intelligence system in any organization and its contribution to daily activities. Furthermore, we highlight the role and the objectives of business intelligence systems inside an organization and the needs to grow the incomes and reduce the costs, to manage the complexity of the business environment and to cut IT costs so that the organization survives in the current competitive climate. The article contains information about architectural principles of a business intelligence system and how such a system can be achieved.

Software to manage transformers using intelligent electronic device

Directory of Open Access Journals (Sweden)

Marcio Zamboti Fortes

2016-01-01

Full Text Available Power companies usually answer the increase in power demand by building new generation facilities. Nevertheless, an efficient use of energy could reduce and delay the costs of investment in new power plants. This paper shows a software system to manage transformers and evaluate losses when they work with zero loads. This system contributes to reduce the waste of energy with some simple actions such as shutting off an unused transformer or reconnecting disabled equipment based on the customer’s demand. It uses real time measurements collected from Intelligent Electronic Devices as a base for software decisions. It also measures and reports the total power saving.

Automated business process management – in times of digital transformation using machine learning or artificial intelligence

Directory of Open Access Journals (Sweden)

Paschek Daniel

2017-01-01

Full Text Available The continuous optimization of business processes is still a challenge for companies. In times of digital transformation, faster changing internal and external framework conditions and new customer expectations for fastest delivery and best quality of goods and many more, companies should set up their internal process at the best way. But what to do if framework conditions changed unexpectedly? The purpose of the paper is to analyse how the digital transformation will impact the Business Process Management (BPM while using methods like machine learning or artificial intelligence. Therefore, the core components will be explained, compared and set up in relation. To identify application areas interviews and analysis will be held up with digital companies. The finding of the paper will be recommendation for action in the field of BPM and process optimization through machine learning and artificial intelligence. The Approach of optimizing and management processes via machine learning and artificial intelligence will support companies to decide which tool will be the best for automated BPM.

Reference system architecture for trade promotion management: leveraging business intelligence technologies and decision support systems

NARCIS (Netherlands)

Balmus, Andra Bianca; Iacob, Maria Eugenia; van Sinderen, Marten J.; van Busschbach, Murk

Working towards gaining competitive advantage and establishing stable relationships with their supply chain intermediaries, fast moving consumer goods companies are currently focusing their attention on intelligent, goal-based funds investment. Traditional trade promotion management systems (TPMS),

Intelligent Metering for Urban Water: A Review

OpenAIRE

Rodney Stewart; Stuart White; Candice Moy; Ariane Liu; Pierre Mukheibir; Damien Giurco; Thomas Boyle

2013-01-01

This paper reviews the drivers, development and global deployment of intelligent water metering in the urban context. Recognising that intelligent metering (or smart metering) has the potential to revolutionise customer engagement and management of urban water by utilities, this paper provides a summary of the knowledge-base for researchers and industry practitioners to ensure that the technology fosters sustainable urban water management. To date, roll-outs of intelligent metering have been ...

Intelligent Supply Chain Integration and Management Based on Cloud of Things

OpenAIRE

Yan, Junwei; Xin, Sijin; Liu, Quan; Xu, Wenjun; Yang, Liwen; Fan, Li; Chen, Bo; Wang, Qiang

2014-01-01

The fierce global competition and market turbulence has been forcing the enterprises towards to the integration and intelligence for supply chain management, and the seamless information sharing and collaboration as well as operation agility are the challenges which need to be conquered, in terms of the highly distributed and heterogeneous resources located in separated warehouses. Although a number of works have been done to achieve the aforementioned targets, few of them are able to provide...

Intelligent environmental data warehouse

International Nuclear Information System (INIS)

Ekechukwu, B.

1998-01-01

Making quick and effective decisions in environment management are based on multiple and complex parameters, a data warehouse is a powerful tool for the over all management of massive environmental information. Selecting the right data from a warehouse is an important factor consideration for end-users. This paper proposed an intelligent environmental data warehouse system. It consists of data warehouse to feed an environmental researchers and managers with desire environmental information needs to their research studies and decision in form of geometric and attribute data for study area, and a metadata for the other sources of environmental information. In addition, the proposed intelligent search engine works according to a set of rule, which enables the system to be aware of the environmental data wanted by the end-user. The system development process passes through four stages. These are data preparation, warehouse development, intelligent engine development and internet platform system development. (author)

Semantic Business Intelligence - a New Generation of Business Intelligence

OpenAIRE

Dinu AIRINEI; Dora-Anca BERTA

2012-01-01

Business Intelligence Solutions represents applications used by companies to manage process and analyze data to provide substantiated decision. In the context of Semantic Web develop-ment trend is to integrate semantic unstructured data, making business intelligence solutions to be redesigned in such a manner that can analyze, process and synthesize, in addition to traditional data and data integrated with semantic another form and structure. This invariably leads appearance of new BI solutio...

Understanding the Globalization of Intelligence

DEFF Research Database (Denmark)

Svendsen, Adam David Morgan

"This book provides an introduction to the complexities of contemporary Western Intelligence and its dynamics during an era of globalization. Towards an understanding of the globalization of intelligence process, Svendsen focuses on the secretive phenomenon of international or foreign intelligence...... cooperation ('liaison'), as it occurs in both theory and practice. Reflecting a complex coexistence plurality of several different and overlapping concepts in action, the challenging process of the globalization of intelligence emerges as essential for complex issue management purposes during a globalized era...

The Autonomous Maintenance Implementation Directory as a Step Toward the Intelligent Quality Management System

Science.gov (United States)

Molenda, Michał

2016-12-01

The article describes the effects of the improvement of the production process which one of the industrial enterprises obtained by implementing the method of Autonomous Maintenance (AM), which is one of the pillars of the concept of Total Productive Maintenance (TPM). AM method was presented as an aid to the formation of intelligent, self-improving procesess of the quality management system (QMS). The main part of this article is to present results of studies that have been conducted in one of the large industrial enterprises in Poland, manufacturing for the automotive industry. The aim of the study was to evaluate the effectiveness of the implementation of the AM method as a tool for selfimprovement of industrial processes in the following company. The study was conducted in 2015. The gathering and comparison of data from the period of two years, ie. the year before and the year after the implementation of AM, helped to determine the effectiveness of AM in building intelligent quality management system.

Computational Intelligence in Intelligent Data Analysis

CERN Document Server

Nürnberger, Andreas

2013-01-01

Complex systems and their phenomena are ubiquitous as they can be found in biology, finance, the humanities, management sciences, medicine, physics and similar fields. For many problems in these fields, there are no conventional ways to mathematically or analytically solve them completely at low cost. On the other hand, nature already solved many optimization problems efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them. Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. As only a few researchers in that field, Rudolf Kruse has contributed in many important ways to the understanding, modeling and application of computational intelligence methods. On occasion of his 60th birthday, a collection of original papers of leading researchers in the field of computational intell...

Intelligent Management of Intelligence Agencies: Beyond Accountability Ping-Pong

Science.gov (United States)

Tetlock, Philip E.; Mellers, Barbara A.

2011-01-01

The intelligence community (IC) is asked to predict outcomes that may often be inherently unpredictable--and is blamed for the inevitable forecasting failures, be they false positives or false negatives. To move beyond blame games of accountability ping-pong that incentivize bureaucratic symbolism over substantive reform, it is necessary to reach…

The Objectives of Competitive Intelligence as a Part of Corporative Development Strategy

Directory of Open Access Journals (Sweden)

František Bartes

2014-01-01

Full Text Available This paper deals with the issue of the management cycle of Competitive Intelligence. The author describes the process of Competitive Intelligence in Czech corporate management. He concludes that in most cases, the Competitive Intelligence operations are directed by the top management, and the attention of Competitive Intelligence is being paid to Key Intelligence Topics (KIT. The Competitive Intelligence is then focused on the output of strategic analyses, complemented in some cases with a summary (synthesis of acquired intelligence plus some signal intelligence (SIGINT. The results of the Competitive Intelligence produced in such a way are actually the outputs mostly applicable in operational management and mostly unsuitable for strategic management. However, top managers abroad almost invariably need the data relevant to the future situation since their decisions are of strategic nature. The following section of the paper is devoted to the conceptual solution of Competitive Intelligence, i.e. the Competitive Intelligence objectives linked with the development strategy of the corporation. Here the author arrives at three basic development strategies: a. the corporation desires status quo, i.e. to keep its market position as it is, b. the corporation is out to expand, and c. the corporation intends not only to keep its existing and dominant market position but strives for its long-term dominance to last.

Developing intelligent transportation systems using the national ITS architecture: an executive edition for senior transportation managers

Science.gov (United States)

1998-02-01

This document has been produced to provide senior transportation managers of state and local departments of transportation with practical guidance for deploying Intelligent Transportation Systems (ITS) consistent with the National ITS Architecture. T...

Intelligent Information System for Waste Management; Jaetehuollon aelykaes tietojaerjestelmae - iWaste

Energy Technology Data Exchange (ETDEWEB)

Mustonen, T. [Kuopio Univ. (Finland); Isoaho, S. [Tampere Univ. (Finland)

2004-07-01

''Waste'' - Intelligent Information System for Waste Management - is a joint project of the University of Kuopio and the Tampere University of Technology. The main objective of the project is to create a basis for more comprehensive utilisation and management of waste management data and for the development of database management systems. The results of the project are numerous. A study of the present state of data management in the field of waste management was carried out. The studied aspects were for example information needs of different actors and their requirements for the information quality, interfaces for information exchange between different actors, and the characteristics of the software products. During the second phase of the project, a hyper document describing waste management systems, and a software application for describing material flows and their management will be finalized. Also methodologies and practices for processing data into information, which is needed in the decision making process, will be developed. The developed methodologies include e.g. data mining techniques, and the practices include e.g. the prediction of waste generation and optimisation of waste collection and transport. (orig.)

Appropriate Combination of Artificial Intelligence and Algorithms for Increasing Predictive Accuracy Management

Directory of Open Access Journals (Sweden)

Shahram Gilani Nia

2010-03-01

Full Text Available In this paper a simple and effective expert system to predict random data fluctuation in short-term period is established. Evaluation process includes introducing Fourier series, Markov chain model prediction and comparison (Gray combined with the model prediction Gray- Fourier- Markov that the mixed results, to create an expert system predicted with artificial intelligence, made this model to predict the effectiveness of random fluctuation in most data management programs to increase. The outcome of this study introduced artificial intelligence algorithms that help detect that the computer environment to create a system that experts predict the short-term and unstable situation happens correctly and accurately predict. To test the effectiveness of the algorithm presented studies (Chen Tzay len,2008, and predicted data of tourism demand for Iran model is used. Results for the two countries show output model has high accuracy.

Managing knowledge business intelligence: A cognitive analytic approach

Science.gov (United States)

Surbakti, Herison; Ta'a, Azman

2017-10-01

The purpose of this paper is to identify and analyze integration of Knowledge Management (KM) and Business Intelligence (BI) in order to achieve competitive edge in context of intellectual capital. Methodology includes review of literatures and analyzes the interviews data from managers in corporate sector and models established by different authors. BI technologies have strong association with process of KM for attaining competitive advantage. KM have strong influence from human and social factors and turn them to the most valuable assets with efficient system run under BI tactics and technologies. However, the term of predictive analytics is based on the field of BI. Extracting tacit knowledge is a big challenge to be used as a new source for BI to use in analyzing. The advanced approach of the analytic methods that address the diversity of data corpus - structured and unstructured - required a cognitive approach to provide estimative results and to yield actionable descriptive, predictive and prescriptive results. This is a big challenge nowadays, and this paper aims to elaborate detail in this initial work.

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…

Emotional intelligence (EI) and nursing leadership styles among nurse managers.

Science.gov (United States)

Tyczkowski, Brenda; Vandenhouten, Christine; Reilly, Janet; Bansal, Gaurav; Kubsch, Sylvia M; Jakkola, Raelynn

2015-01-01

Less than 12.5% of nurses aspire to leadership roles, noting lack of support and stress as major factors in their decision not to pursue this area of practice. Psychological resiliency, described as the ability to properly adapt to stress and adversity, is key to successful nurse managers. Emotional intelligence (EI) is a related concept to resiliency and is another noteworthy predictor of leadership and management success. This study was undertaken to determine the level of and relationship between EI and leadership style of nurse managers employed in Wisconsin and Illinois facilities. A descriptive, exploratory study design was utilized, with a convenience sample of nurse managers working in 6 large Midwestern health systems. Nurse managers were invited to participate in the study by their employer, completing the online consent form and the demographic, Multifactor Leadership Questionnaire (MLQ) Form 5X and the Emotional Quotient Inventory (EQ-i 2.0) surveys. Statistically significant positive relationships were noted between EI and transformational leadership and the outcomes of leadership (extra effort, effectiveness, and satisfaction). No statistically significant relationships were noted between EI and transactional or laissez-faire leadership styles.

The Convergence of the telematic, computing and information services as a basis for using artificial intelligence to manage complex techno-organizational systems

Directory of Open Access Journals (Sweden)

Raikov Alexander

2018-01-01

Full Text Available The authors analyses the problems of using artificial intelligence to manage complex techno-organizational systems on the basis of the convergence of the telematic, computing and information services in order to manage complex techno-organizational systems in the aerospace industry. This means getting the space objects a higher level of management based on the self-organizing integration principle. Using the artificial intelligence elements allows us to get more optimal and limit values parameters of the ordinal and critical situations in real time. Thus, it helps us to come closer to the limit values parameters of the managed objects due to rising managing and observant possibilities.

Managing Sustainability with the Support of Business Intelligence Methods and Tools

Science.gov (United States)

Petrini, Maira; Pozzebon, Marlei

In this paper we explore the role of business intelligence (BI) in helping to support the management of sustainability in contemporary firms. The concepts of sustainability and corporate social responsibility (CSR) are among the most important themes to have emerged in the last decade at the global level. We suggest that BI methods and tools have an important but not yet well studied role to play in helping organizations implement and monitor sustainable and socially responsible business practices. Using grounded theory, the main contribution of our study is to propose a conceptual model that seeks to support the process of definition and monitoring of socio-environmental indicators and the relationship between their management and business strategy.

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...

Approaches for Intelligent Traffic System: A Survey

OpenAIRE

Pratishtha Gupta; G.N Purohit; Amrita Dadhich

2012-01-01

This survey presents various approaches for intelligent traffic systems. The potential research fields in which Intelligent Traffic System emerges as an important application area are highlighted andvarious issues have been identified which need to be handled while developing such a system for an urban area, where an efficient traffic management has become the need of hour.A model is also proposed capable of managing intelligent traffic system using CCTV cameras and WAN. The proposed model wi...

Speed support through the intelligent vehicle : perspective, estimated effects and implementation aspects.[Deliverable of the Intelligent Vehicles project, part of the Traffic Management project within TRANSUMO (TRANsition to SUstainable MObility).

NARCIS (Netherlands)

Morsink, P. Goldenbeld, C. Dragutinovic, N. Marchau, V. Walta, L. & Brookhuis, K.

2008-01-01

Speed management is a central theme in traffic management, aiming to optimize traffic in terms of safety, efficiency and the environment, by reducing speeding and speed differences in traffic. Intelligent vehicles can perform tasks that conventional measures cannot do at all, or do less efficiently.

Information gathering, management and transferring for geospatial intelligence - A conceptual approach to create a spatial data infrastructure

Science.gov (United States)

Nunes, Paulo; Correia, Anacleto; Teodoro, M. Filomena

2017-06-01

Since long ago, information is a key factor for military organizations. In military context the success of joint and combined operations depends on the accurate information and knowledge flow concerning the operational theatre: provision of resources, environment evolution, targets' location, where and when an event will occur. Modern military operations cannot be conceive without maps and geospatial information. Staffs and forces on the field request large volume of information during the planning and execution process, horizontal and vertical geospatial information integration is critical for decision cycle. Information and knowledge management are fundamental to clarify an environment full of uncertainty. Geospatial information (GI) management rises as a branch of information and knowledge management, responsible for the conversion process from raw data collect by human or electronic sensors to knowledge. Geospatial information and intelligence systems allow us to integrate all other forms of intelligence and act as a main platform to process and display geospatial-time referenced events. Combining explicit knowledge with person know-how to generate a continuous learning cycle that supports real time decisions, mitigates the influences of fog of war and provides the knowledge supremacy. This paper presents the analysis done after applying a questionnaire and interviews about the GI and intelligence management in a military organization. The study intended to identify the stakeholder's requirements for a military spatial data infrastructure as well as the requirements for a future software system development.

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,...

WATCHMAN: A Data Warehouse Intelligent Cache Manager

Science.gov (United States)

Scheuermann, Peter; Shim, Junho; Vingralek, Radek

1996-01-01

Data warehouses store large volumes of data which are used frequently by decision support applications. Such applications involve complex queries. Query performance in such an environment is critical because decision support applications often require interactive query response time. Because data warehouses are updated infrequently, it becomes possible to improve query performance by caching sets retrieved by queries in addition to query execution plans. In this paper we report on the design of an intelligent cache manager for sets retrieved by queries called WATCHMAN, which is particularly well suited for data warehousing environment. Our cache manager employs two novel, complementary algorithms for cache replacement and for cache admission. WATCHMAN aims at minimizing query response time and its cache replacement policy swaps out entire retrieved sets of queries instead of individual pages. The cache replacement and admission algorithms make use of a profit metric, which considers for each retrieved set its average rate of reference, its size, and execution cost of the associated query. We report on a performance evaluation based on the TPC-D and Set Query benchmarks. These experiments show that WATCHMAN achieves a substantial performance improvement in a decision support environment when compared to a traditional LRU replacement algorithm.

Relationship between emotional intelligence and organizational citizenship behavior.

Science.gov (United States)

Turnipseed, David L; Vandewaa, Elizabeth A

2012-06-01

This study evaluated hypothesized positive linkages between organizational citizenship behavior and the emotional intelligence dimensions of perception, using emotion, understanding emotion, and management of emotion, involving two samples. Sample 1 comprised 334 employed college students, 52% male, with a mean age of 23.4 yr., who worked an average of 29.6 hr. per week. Sample 2 comprised 72 professors, 81% female, with a mean age of 47 yr. Measures were the Emotional Intelligence Scale and the Organizational Citizenship Behavior Scale. Results of hierarchical multiple regressions indicated a positive link between organizational citizenship behavior and emotional intelligence. There were differences between the samples. In Sample 1, each of the emotional intelligence dimensions were positively linked to citizenship behavior: using and managing emotion were the greatest contributors. In Sample 2, managing emotion was the only contributor. Emotional intelligence had the strongest relationship with citizenship behavior directed at individuals.

Business Intelligence Integrated Solutions

Directory of Open Access Journals (Sweden)

Cristescu Marian Pompiliu

2017-12-01

Full Text Available A Business Intelligence solution concerns the simple, real-time access to complete information about the business shown in a relevant format of the report, graphic or dashboard type in order help the taking of strategic decisions regarding the direction in which the company goes. Business Intelligence does not produce data, but uses the data produced by the company’s applications. BI solutions extract their data from ERP (Enterprise Resource Planning, CRM (Customer Relationship Management, HCM (Human Capital Management, and Retail, eCommerce or other databases used in the company.

EMOTIONAL INTELLIGENCE AND ORGANIZATIONAL COMPETITIVENESS: MANAGEMENT MODEL APPROACH

Directory of Open Access Journals (Sweden)

John N. N. Ugoani

2016-09-01

Full Text Available Modern organization theory considers emotional intelligence as the index of competencies that help organizations to develop a vision for competitiveness. It also allows organizational leaders to enthusiastically commit to the vision, and energize organizational members to achieve the vision. To maximize competiveness organizations use models to simplify and clarify thinking, to identify important aspects, to suggest explanations and to predict consequences, and explore other performance areas that would otherwise be hidden in an excess of words. The survey research design was used to explore the relationship between emotional intelligence and organizational competitiveness. The study found that emotional intelligence has strong positive relationship with organizational competitiveness

Online Services Management Support for an Intelligent Locality

Directory of Open Access Journals (Sweden)

Lorena BĂTĂGAN

2011-07-01

Full Text Available As the number of habitants of large cities is expanding, put greater pressure on city infrastructure delivering vital services, such as health, education, public safety and transport. These efforts are added to changing public demands for better information, better education, environmental programs, a more open government, lower maintenance costs and other housing options for older people. Therefore, to achieve these goals, it must take into account the quality of all services, but especially the quality of online services based on the use of modern information and communication technologies.The management of service quality on-line offers a performance evaluation and comparative analysis of indicators. He also works as a decision support to improve the quality of online services and increasing customer satisfaction, essential elements in an intelligent city.

Intelligence systems in environmental management theory and applications

CERN Document Server

Sari, İrem

2017-01-01

This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspec...

A study on relationship between emotional intelligence components of sales managers from Goleman’s viewpoint and sales promotion activities in Iranian business enterprises

Directory of Open Access Journals (Sweden)

Kamal Ghalandari

2014-07-01

Full Text Available Winners of the future competition are managers who communicate their human resources in an effective and rewarding way. In this respect, emotional intelligence is an advanced form of focusing on humans in organizational environment and it is a new and suitable instrument for business managers and market theoreticians to direct and satisfy organizational employees and external customers. This paper investigates the relationship between emotional intelligence dimensions and components including self-awareness, self-management, self-motivation, social awareness and relation management and sales promotion activities in Iranian business enterprises. Present research was an applied one with respect to its purpose and a correlational descriptive-survey one with respect to data collection method. Statistical population of the study comprised of 534 managers operating at firms located at West Azarbaijan province in food industry. Among them 225 managers were selected using random sampling procedure based on Krejcie and Morgan’s table. Data on emotional intelligence variable were collected using Goleman’s Emotional Competence Inventory. In addition, sales promotion variable was evaluated using an author-developed questionnaire and reliabilities of these two scales were respectively 0.92 and 0.89. Given the normality of data according to Kolmogorov-Smirnov test, Pearson’s correlation test was used to identify the type of relationship between variables and results suggested a direct significant relationship between all emotional intelligence components including self-awareness, self-management, self- motivation, social awareness and relation management and sales promotion activities at significance level of p ≤0.05.

Fostering Emotional Intelligence in Online Higher Education Courses

Science.gov (United States)

Majeski, Robin A.; Stover, Merrily; Valais, Teresa; Ronch, Judah

2017-01-01

Given the complex challenges organizations face and the importance of emotional intelligence to effective leadership, management education has begun to help adult learners develop emotional intelligence competencies. These include emotional self-control, conflict management, teamwork, cultural awareness, and inspirational leadership, among other…

Impact of Emotional Intelligence on Academic Achievement and Leadership

Directory of Open Access Journals (Sweden)

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.

HomeNL: Homecare Assistance in Natural Language. An Intelligent Conversational Agent for Hypertensive Patients Management.

OpenAIRE

Rojas Barahona , Lina Maria; Quaglini , Silvana; Stefanelli , Mario

2009-01-01

International audience; The prospective home-care management will probably of- fer intelligent conversational assistants for supporting patients at home through natural language interfaces. Homecare assistance in natural lan- guage, HomeNL, is a proof-of-concept dialogue system for the manage- ment of patients with hypertension. It follows up a conversation with a patient in which the patient is able to take the initiative. HomeNL pro- cesses natural language, makes an internal representation...

The Implications of Integrating Governance, Risk and Compliance in Business Intelligence Systems on Corporate Performance Management

NARCIS (Netherlands)

J.J. Madlener (Jos)

2009-01-01

textabstractThe last decade organizations have understood more and more the importance of enforcing achievement of the goals defined by their strategy through metrics-driven management. The data warehousing process in Business Intelligence Systems, though supporting bottomup extraction of

THE AUTONOMOUS MAINTENANCE IMPLEMENTATION DIRECTORY AS A STEP TOWARD THE INTELLIGENT QUALITY MANAGEMENT SYSTEM

Directory of Open Access Journals (Sweden)

Michał MOLENDA

2016-10-01

Full Text Available The article describes the effects of the improvement of the production process which one of the industrial enterprises obtained by implementing the method of Autonomous Maintenance (AM, which is one of the pillars of the concept of Total Productive Maintenance (TPM. AM method was presented as an aid to the formation of intelligent, self-improving procesess of the quality management system (QMS. The main part of this article is to present results of studies that have been conducted in one of the large industrial enterprises in Poland, manufacturing for the automotive industry. The aim of the study was to evaluate the effectiveness of the implementation of the AM method as a tool for self-improvement of industrial processes in the following company. The study was conducted in 2015. The gathering and comparison of data from the period of two years, ie. the year before and the year after the implementation of AM, helped to determine the effectiveness of AM in building intelligent quality management system.

Risk and Disaster Management: From Planning and Expertise to Smart, Intelligent, and Adaptive Systems.

Science.gov (United States)

Benis, Arriel; Notea, Amos; Barkan, Refael

2018-01-01

"Disaster" means some surprising and misfortunate event. Its definition is broad and relates to complex environments. Medical Informatics approaches, methodologies and systems are used as a part of Disaster and Emergency Management systems. At the Holon Institute of Technology - HIT, Israel, in 2016 a National R&D Center: AFRAN was established to study the disaster's reduction aspects. The Center's designation is to investigate and produce new approaches, methodologies and to offer recommendations in the fields of disaster mitigation, preparedness, response and recovery and to disseminate disaster's knowledge. Adjoint to the Center a "Smart, Intelligent, and Adaptive Systems" laboratory (SIAS) was established with the goal to study the applications of Information and Communication Technologies (ICT) and Artificial Intelligence (AI) to Risk and Disaster Management (RDM). In this paper, we are redefining the concept of Disaster, pointing-out how ICT, AI, in the Big Data era, are central players in the RDM game. In addition we show the merit of the Center and lab combination to the benefit of the performed research projects.

The consideration of emotional intelligence abilities in event volunteers

Directory of Open Access Journals (Sweden)

Reza Andam

2012-09-01

Full Text Available The measurement of emotional intelligence abilities is one of the new subjects and important in human behavior studies. According to this matter, purpose of this research is consideration of emotional intelligence abilities in public sport events volunteers in 2011. For this purpose, Bradbury and Cruise's standard questionnaire was completed by present volunteers in event (n=80. The results indicated that 4 levels of emotional intelligence in volunteers are higher than expectational average significantly (p<0.01. Also, priority of emotional intelligence abilities indicated that self-awareness is first priority and social awareness, relationship management and self-management are second, third and fourth priorities in volunteers. Finally, in the basis of parameter, results stated that there is no difference between male and female volunteers emotional intelligence in first Olympia of public sport. According to results of present research and advantages of attention to emotional intelligence and human behavior in organizations, it recommended sport events managers to be more sensitive relative to human behavior abilities in human behavior abilities in human resource (volunteers under his management. At least, result of this meditation in student's sport is recruitment and development of motivated volunteers for continuous attendance in sport events.

Defense Intelligence Agency

Science.gov (United States)

Management Office Management and Infrastructure Security Science and Technology Pre-Employment Forms Intelligence Community Wounded Warrior Internship Program News Articles Videos Contact DIA DIA in the News observed the legacy of Dr. Martin Luther King, Jr. in an event Jan. 26, at the DIA headquarters. Story DIA

What have we learned about intelligent transportation systems? Chapter 2, What have we learned about freeway incident and emergency management and electronic toll collection?

Science.gov (United States)

2000-12-01

The intelligent infrastructure is often the most visible manifestation of intelligent transportation systems (ITS) along with roads, freeways, and incident management is often among the first ITS elements implemented. They can significantly contribut...

Radiation monitoring of nuclear census intelligent data management and mobile monitoring data acquisition system

International Nuclear Information System (INIS)

Huang Libin; Zhong Zhijing; Zhou Yinhang; Guo Hongbo

2014-01-01

The system, employing advanced intelligent terminal, mobile applications, database technology, can achieve all kinds of field monitoring, mobile radiation monitoring data collected for laboratory analysis; employing GPS technology, can achieve the geographic information of the radiation monitoring data, time tagging and other anti-cheating measures; the system also established a mass database management system; the system is suitable for all types of nuclear-related units with special adaptive functions; system will be extended to GIS-based management capabilities of nuclear contamination distribution in latter stage. (authors)

Metropolitan transportation management center : a case study : Michigan intelligent transportation system : improving safety and air quality while reducing stress for motorists

Science.gov (United States)

1999-10-01

The following case study provides a snapshot of Michigan's Intelligent Transportation Systems transportation management center (MITSC). It follows the outline provided in the companion document, Metropolitan Transportation Management Center Concepts ...

Distributed intelligent monitoring and reporting facilities

Science.gov (United States)

Pavlou, George; Mykoniatis, George; Sanchez-P, Jorge-A.

1996-06-01

Distributed intelligent monitoring and reporting facilities are of paramount importance in both service and network management as they provide the capability to monitor quality of service and utilization parameters and notify degradation so that corrective action can be taken. By intelligent, we refer to the capability of performing the monitoring tasks in a way that has the smallest possible impact on the managed network, facilitates the observation and summarization of information according to a number of criteria and in its most advanced form and permits the specification of these criteria dynamically to suit the particular policy in hand. In addition, intelligent monitoring facilities should minimize the design and implementation effort involved in such activities. The ISO/ITU Metric, Summarization and Performance management functions provide models that only partially satisfy the above requirements. This paper describes our extensions to the proposed models to support further capabilities, with the intention to eventually lead to fully dynamically defined monitoring policies. The concept of distributing intelligence is also discussed, including the consideration of security issues and the applicability of the model in ODP-based distributed processing environments.

Intelligent support of e-management for consumer-focused virtual enterprises

Science.gov (United States)

Chandra, Charu; Smirnov, Alexander V.

2000-10-01

The interest in consumer-focused virtual enterprises (VE) decision-making problem is growing fast. The purpose of this type of enterprise is to transform incomplete information about customer orders and available resources into-co-ordinated plans for production and replenishment of goods and services in the temporal network formed by collaborating units. This implies that information in the consumer-focused VE can be shared via Internet, Intranet, and Extranet for business-to-consumer (B2C), business-to-business service (B2B-S), and business-to-business goods (B2B-G) transactions. One of the goals of Internet-Based Management (e-management) is to facilitate transfer and sharing of data and knowledge in the context of enterprise collaboration. This paper discusses a generic framework of e-management that integrates intelligent information support group-decision making, and agreement modeling for a VE network. It offers the platform for design and modeling of diverse implementation strategies related to the type of agreement, optimization policies, decision-making strategies, organization structures, and information sharing strategies and mechanisms, and business policies for the VE.

The Professionalization of Intelligence Cooperation

DEFF Research Database (Denmark)

Svendsen, Adam David Morgan

"Providing an in-depth insight into the subject of intelligence cooperation (officially known as liason), this book explores the complexities of this process. Towards facilitating a general understanding of the professionalization of intelligence cooperation, Svendsen's analysis includes risk...... management and encourages the realisation of greater resilience. Svendsen discusses the controversial, mixed and uneven characterisations of the process of the professionalization of intelligence cooperation and argues for a degree of 'fashioning method out of mayhem' through greater operational...

Intelligent Management System of Power Network Information Collection Under Big Data Storage

Directory of Open Access Journals (Sweden)

Qin Yingying

2017-01-01

Full Text Available With the development of economy and society, big data storage in enterprise management has become a problem that can’t be ignored. How to manage and optimize the allocation of tasks better is an important factor in the sustainable development of an enterprise. Now the enterprise information intelligent management has become a hot spot of management mode and concept in the information age. It presents information to the business managers in a more efficient, lower cost, and global form. The system uses the SG-UAP development tools, which is based on Eclipse development environment, and suits for Windows operating system, with Oracle as database development platform, Tomcat network information service for application server. The system uses SOA service-oriented architecture, provides RESTful style service, and HTTP(S as the communication protocol, and JSON as the data format. The system is divided into two parts, the front-end and the backs-end, achieved functions like user login, registration, password retrieving, enterprise internal personnel information management and internal data display and other functions.

The use of emotional intelligence models in the assessment of management practices

Directory of Open Access Journals (Sweden)

L M Polyanova

2014-12-01

Full Text Available In the face of constant changes and instability, every organization feels an increasing demand to develop personal qualities of the staff for the effective functioning. As a result of the formation of intangible assets management, we have obtained methods for managing emotions as a part of the intellectual capital. The article discusses the basic models and techniques for measuring emotional intelligence of the head of a company, in particular, J. Mayer, D. Caruso and P. Salovey model of abilities (test MSCEIT V2.0 and mixed model (D. Lusin EmIn test and R. Bar-On EQ-i test, their advantages, limitations and heuristic value when applied to the study of organizations.

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...

Emotional Intelligence and Transformational Leadership in Nurse Managers.

Science.gov (United States)

Spano-Szekely, Lauraine; Quinn Griffin, Mary T; Clavelle, Joanne; Fitzpatrick, Joyce J

2016-02-01

This study describes the relationship between emotional intelligence (EI) and transformational leadership (TL) in nurse managers (NMs). Effective NM leadership is important as they have direct influence over RN performance and patient outcomes. Research has demonstrated that a TL style generates greater commitment from followers than other leadership styles. EI is 1 potential characteristic of TL. A descriptive exploratory research study was conducted to correlate EI and TL practices of NMs. EI was significantly positively correlated with TL and outcome measures of extra-effort, effectiveness, and satisfaction and significantly negatively correlated with laissez-faire leadership. A positive relationship was found between TL and NMs with advanced education and administrative certification. Nursing administrators should consider EI characteristics when hiring NMs and lead efforts to advance education to align with organization needs for business and strategic essentials necessary for NM effectiveness.

Intelligent fault diagnosis and failure management of flight control actuation systems

Science.gov (United States)

Bonnice, William F.; Baker, Walter

1988-01-01

The real-time fault diagnosis and failure management (FDFM) of current operational and experimental dual tandem aircraft flight control system actuators was investigated. Dual tandem actuators were studied because of the active FDFM capability required to manage the redundancy of these actuators. The FDFM methods used on current dual tandem actuators were determined by examining six specific actuators. The FDFM capability on these six actuators was also evaluated. One approach for improving the FDFM capability on dual tandem actuators may be through the application of artificial intelligence (AI) technology. Existing AI approaches and applications of FDFM were examined and evaluated. Based on the general survey of AI FDFM approaches, the potential role of AI technology for real-time actuator FDFM was determined. Finally, FDFM and maintainability improvements for dual tandem actuators were recommended.

Reducing water losses via intelligent pressure management; Reduzierung von Wasserverlusten durch intelligentes Druckmanagement

Energy Technology Data Exchange (ETDEWEB)

Oppinger, Peter [VAG-Armaturen GmbH, Mannheim (Germany). Marketing

2008-03-15

Leaks in water pipes and leaking municipal water-transmission and piping systems, particularly in developing and threshold countries account for water-losses of up to 50% of the water supplied by the waterworks. This article examines three different solutions for effective pressure management on the basis of an intelligent control system, by means of which water-losses can be reduced to a stable and economically rational level. (orig.)

Intelligent systems in oil field development under uncertainty

Energy Technology Data Exchange (ETDEWEB)

Pacheco, Marco A.C.; Vellasco, Marley M.B.R. (eds.) [PUC-Rio, Rio de Janeiro (Brazil). Dept. of Electrical Engineering

2009-07-01

Intelligent Systems use a range of methodologies for analysis, pre-processing, storage, organization, enhancing and mining of operational data, turning it into useful information and knowledge for decision makers in business enterprises. These intelligent technologies for decision support have been used with success by companies and organizations that are looking for competitive advantages whenever the issues on forecast, optimization, risks analysis, fraud detection, and decision under uncertainties are presented. Intelligent Systems (IS) offer to managers and decision makers the best solutions for complex applications, normally considered difficult, very restrictive or even impossible. The use of such techniques leads to a revolutionary process which has a significant impact in the business management strategy, by providing on time, correct information, ready to use. Computational intelligence techniques, especially genetic algorithms, genetic programming, neural networks, fuzzy logic and neuro-fuzzy as well as modern finance theories, such as real options theory, are here presented and exemplified in oil and gas exploitation and production. This book is addressed to executives and students, directly involved or interested in intelligent management in different fields. (orig.)

Energy efficiency analysis considering the use of an intelligent systems management in a smart home

OpenAIRE

Morais, H.; Fernandes, Filipe; Faria, Pedro; Vale, Zita

2012-01-01

In this abstract is presented an energy management system included in a SCADA system existent in a intelligent home. The system control the home energy resources according to the players definitions (electricity consumption and comfort levels), the electricity prices variation in real time mode and the DR events proposed by the aggregators.

An Intelligence Collection Management Model.

Science.gov (United States)

1984-06-01

classification of inteligence collection requirements in terms of. the a-.- metnodo"c, .ev--e in Chaster Five. 116 APPgENDIX A A METHOD OF RANKING...of Artificial Intelligence Tools and Technigues to!TN’X n~l is n rs aa~emfft-.3-ufnyva: ’A TZ Ashby W. Ecss. An Introduction to Cybernetics. New York

Intelligent Systems For Aerospace Engineering: An Overview

Science.gov (United States)

KrishnaKumar, K.

2003-01-01

Intelligent systems are nature-inspired, mathematically sound, computationally intensive problem solving tools and methodologies that have become extremely important for advancing the current trends in information technology. Artificially intelligent systems currently utilize computers to emulate various faculties of human intelligence and biological metaphors. They use a combination of symbolic and sub-symbolic systems capable of evolving human cognitive skills and intelligence, not just systems capable of doing things humans do not do well. Intelligent systems are ideally suited for tasks such as search and optimization, pattern recognition and matching, planning, uncertainty management, control, and adaptation. In this paper, the intelligent system technologies and their application potential are highlighted via several examples.

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.

The Effect of Emotional Intelligence on Managerial Involvement

Directory of Open Access Journals (Sweden)

Burcu Semahat Avcı

2014-04-01

Full Text Available The purpose of this study was to analyze the relationship between the emotional intelligence levels and job satisfaction of the managers and to carry out a research in this sense. In the research, the relationship of emotional intelligence abilities in managers with their own job satisfaction was analyzed. The main population of the study included the managers in different grades of small, medium, and large scale entities from different sectors in Istanbul. The basic purpose of the study was to reveal the relationship between the emotional intelligence dimensions the managers had and their own job satisfaction. In this sense, it was analyzed the effect of emotional intelligence abilities managers had upon their own job satisfaction, and whether there was a relationship between them or not. The field research was carried out with reference to the theoretical framework revealed after the literature review.In methodology section of the study, the findings related to the research and the interpretations were included with the analyses. It was revealed depending upon the correlation and regression analyses performed within the scope of the research that interpersonal relationships factor had effect upon the job satisfaction.

Intelligent Distributed Computing VI : Proceedings of the 6th International Symposium on Intelligent Distributed Computing

CERN Document Server

Badica, Costin; Malgeri, Michele; Unland, Rainer

2013-01-01

This book represents the combined peer-reviewed proceedings of the Sixth International Symposium on Intelligent Distributed Computing -- IDC~2012, of the International Workshop on Agents for Cloud -- A4C~2012 and of the Fourth International Workshop on Multi-Agent Systems Technology and Semantics -- MASTS~2012. All the events were held in Calabria, Italy during September 24-26, 2012. The 37 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: adaptive and autonomous distributed systems, agent programming, ambient assisted living systems, business process modeling and verification, cloud computing, coalition formation, decision support systems, distributed optimization and constraint satisfaction, gesture recognition, intelligent energy management in WSNs, intelligent logistics, machine learning, mobile agents, parallel and distributed computational intelligence, parallel evolutionary computing, trus...

System of Indicators in the Innovation Management: Business Intelligence Applied to Tourism

Science.gov (United States)

Lozada, Dayana; Araque, Francisco; Castillo, Jose Manuel; Salguero, Alberto; Delgado, Cecilia; Noda, Marcia; Hernández, Gilberto

The work presents an approach to study mechanisms that allows managers the Innovation Management (IM) measurements. It is assumed, as main motivation, the analysis of patterns for the design of an integral system of indicators. A methodology that integrates the thought process, focusing on the Business Intelligence and the Balance Scorecard will be presented. A group of indexes based on the multidimensionality of IM in organizations of the sector of tourism is proposed. To approach this quality it is necessary to contextualize, in the conditions of sectoral operation, the theories, models and systems used in our approach. It has been used intervention methods like experts' criteria, consensus search techniques by means of surveys, consultation of documents, and statistical methods such as analysis of the main components.

VIRTUAL COGNITIVE CENTERS AS INTELLIGENT SYSTEMS FOR MANAGEMENT INFORMATION SUPPORT OF REGIONAL SECURITY

Directory of Open Access Journals (Sweden)

A. V. Masloboev

2014-03-01

Full Text Available The paper deals with engineering problems and application perspectives of virtual cognitive centers as intelligent systems for information support of interagency activities in the field of complex security management of regional development. A research prototype of virtual cognitive center for regional security management in crisis situations, implemented as hybrid cloud service based on IaaS architectural framework with the usage of multi-agent and web-service technologies has been developed. Virtual cognitive center is a training simulator software system and is intended for solving on the basis of distributed simulation such problems as: strategic planning and forecasting of risk-sustainable development of regional socioeconomic systems, agents of management interaction specification synthesis for regional components security in different crisis situations within the planning stage of joint anti-crisis actions.

Innovative applications of artificial intelligence

Science.gov (United States)

Schorr, Herbert; Rappaport, Alain

Papers concerning applications of artificial intelligence are presented, covering applications in aerospace technology, banking and finance, biotechnology, emergency services, law, media planning, music, the military, operations management, personnel management, retail packaging, and manufacturing assembly and design. Specific topics include Space Shuttle telemetry monitoring, an intelligent training system for Space Shuttle flight controllers, an expert system for the diagnostics of manufacturing equipment, a logistics management system, a cooling systems design assistant, and a knowledge-based integrated circuit design critic. Additional topics include a hydraulic circuit design assistant, the use of a connector assembly specification expert system to harness detailed assembly process knowledge, a mixed initiative approach to airlift planning, naval battle management decision aids, an inventory simulation tool, a peptide synthesis expert system, and a system for planning the discharging and loading of container ships.

Report on {open_quotes}inspection of human subject research in intelligence and intelligence-related projects{close_quotes}

Energy Technology Data Exchange (ETDEWEB)

NONE

1996-01-16

Executive Order 12333, {open_quotes}United States Intelligence Activities,{close_quotes} (1) designates the Department`s intelligence element as a member of the Intelligence Community, and (2) states that no agency within the Intelligence community shall sponsor, contract for or conduct research on human subjects except in accordance with guidelines issued by the Department of Health and Human Services. The Federal policy for the Protection of Human Subjects, which was based on Department of Health and Human Services regulations, was promulgated in Title 10 Code of Federal Regulations Part 745 by the Department of Energy. The purpose of this inspection was to review the internal control procedures used by the Office of Nonproliferation and National Security to manage selected intelligence and intelligence-related projects that involve human subject research.

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...

Emotional intelligence in nurse management and nurse job satisfaction and retention: a scoping review protocol.

Science.gov (United States)

Phillips, Jacqueline; Harris, Janet

2017-11-01

The objective of this review is to map what is known about emotional intelligence (EI) in relation to staff job satisfaction and retention in nursing, and the tools that are used to measure EI in this context. The primary question of this review is: What is known about nurse managers' EI as it relates to staff job satisfaction and retention in nursing?Sub-question 1: What tools are being used to measure nurse managers' EI and what theoretical frameworks are they based on?Sub-question 2: What gaps exist in the research related to nurse managers' EI as it relates to staff job satisfaction and retention in nursing?

Intelligent Energy Management System for PV-Battery-based Microgrids in Future DC Homes

Science.gov (United States)

Chauhan, R. K.; Rajpurohit, B. S.; Gonzalez-Longatt, F. M.; Singh, S. N.

2016-06-01

This paper presents a novel intelligent energy management system (IEMS) for a DC microgrid connected to the public utility (PU), photovoltaic (PV) and multi-battery bank (BB). The control objectives of the proposed IEMS system are: (i) to ensure the load sharing (according to the source capacity) among sources, (ii) to reduce the power loss (high efficient) in the system, and (iii) to enhance the system reliability and power quality. The proposed IEMS is novel because it follows the ideal characteristics of the battery (with some assumptions) for the power sharing and the selection of the closest source to minimize the power losses. The IEMS allows continuous and accurate monitoring with intelligent control of distribution system operations such as battery bank energy storage (BBES) system, PV system and customer utilization of electric power. The proposed IEMS gives the better operational performance for operating conditions in terms of load sharing, loss minimization, and reliability enhancement of the DC microgrid.

Strategies to Foster Emotional Intelligence in Christian Higher Education

Science.gov (United States)

Gliebe, Sudi Kate

2012-01-01

This article proposes five initiatives to foster emotional intelligence (EI) education throughout institutions of Christian higher education. Goleman (1995) identifies self-awareness, managing emotions, motivation, empathy, and social intelligence as the hallmark skills of emotional intelligence. The importance of mastering these skills and their…

Effects Of Emotional Intelligence On Marital Adjustment Of Couples ...

African Journals Online (AJOL)

Couples should be helped to develop emotion management skills. Couples should be taught emotional sensitivity skills. Our educational systems should not only develop learners' Intelligence (IQ) but their Emotional intelligence (EQI) competencies too. Emotional intelligence should form part of the criteria for marital choice ...

Intelligent Metering for Urban Water: A Review

Directory of Open Access Journals (Sweden)

Rodney Stewart

2013-07-01

Full Text Available This paper reviews the drivers, development and global deployment of intelligent water metering in the urban context. Recognising that intelligent metering (or smart metering has the potential to revolutionise customer engagement and management of urban water by utilities, this paper provides a summary of the knowledge-base for researchers and industry practitioners to ensure that the technology fosters sustainable urban water management. To date, roll-outs of intelligent metering have been driven by the desire for increased data regarding time of use and end-use (such as use by shower, toilet, garden, etc. as well as by the ability of the technology to reduce labour costs for meter reading. Technology development in the water sector generally lags that seen in the electricity sector. In the coming decade, the deployment of intelligent water metering will transition from being predominantly “pilot or demonstration scale” with the occasional city-wide roll-out, to broader mainstream implementation. This means that issues which have hitherto received little focus must now be addressed, namely: the role of real-time data in customer engagement and demand management; data ownership, sharing and privacy; technical data management and infrastructure security, utility workforce skills; and costs and benefits of implementation.

Intelligent Internet-based information system optimises diabetes mellitus management in communities.

Science.gov (United States)

Wei, Xuejuan; Wu, Hao; Cui, Shuqi; Ge, Caiying; Wang, Li; Jia, Hongyan; Liang, Wannian

2018-05-01

To evaluate the effect of an intelligent Internet-based information system upon optimising the management of patients diagnosed with type 2 diabetes mellitus (T2DM). In 2015, a T2DM information system was introduced to optimise the management of T2DM patients for 1 year in Fangzhuang community of Beijing, China. A total of 602 T2DM patients who were registered in the health service centre of Fangzhuang community were enrolled based on an isometric sampling technique. The data from 587 patients were used in the final analysis. The intervention effect was subsequently assessed by statistically comparing multiple parameters, such as the prevalence of glycaemic control, standard health management and annual outpatient consultation visits per person, before and after the implementation of the T2DM information system. In 2015, a total of 1668 T2DM patients were newly registered in Fangzhuang community. The glycaemic control rate was calculated as 37.65% in 2014 and significantly elevated up to 62.35% in 2015 ( p information system, the rate of standard health management was increased from 48.04% to 85.01% ( p information system optimised the management of T2DM patients in Fangzhuang community and decreased the outpatient numbers in both community and general hospitals, which played a positive role in assisting T2DM patients and their healthcare providers to better manage this chronic illness.

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 Systems and Advanced User Interfaces for Design, Operation, and Maintenance of Command Management Systems

Science.gov (United States)

Mitchell, Christine M.

1998-01-01

Historically Command Management Systems (CMS) have been large, expensive, spacecraft-specific software systems that were costly to build, operate, and maintain. Current and emerging hardware, software, and user interface technologies may offer an opportunity to facilitate the initial formulation and design of a spacecraft-specific CMS as well as a to develop a more generic or a set of core components for CMS systems. Current MOC (mission operations center) hardware and software include Unix workstations, the C/C++ and Java programming languages, and X and Java window interfaces representations. This configuration provides the power and flexibility to support sophisticated systems and intelligent user interfaces that exploit state-of-the-art technologies in human-machine systems engineering, decision making, artificial intelligence, and software engineering. One of the goals of this research is to explore the extent to which technologies developed in the research laboratory can be productively applied in a complex system such as spacecraft command management. Initial examination of some of the issues in CMS design and operation suggests that application of technologies such as intelligent planning, case-based reasoning, design and analysis tools from a human-machine systems engineering point of view (e.g., operator and designer models) and human-computer interaction tools, (e.g., graphics, visualization, and animation), may provide significant savings in the design, operation, and maintenance of a spacecraft-specific CMS as well as continuity for CMS design and development across spacecraft with varying needs. The savings in this case is in software reuse at all stages of the software engineering process.

Effective use of business intelligence.

Science.gov (United States)

Glaser, John; Stone, John

2008-02-01

Business intelligence--technology to manage and leverage an organization's data--can enhance healthcare organizations' financial and operational performance and quality of patient care. Effective BI management requires five preliminary steps: Establish business needs and value. Obtain buy-in from managers. Create an end-to-end vision. Establish BI governance. Implement specific roles for managing data quality.

Emotional intelligence and social functioning in persons with schizotypy.

Science.gov (United States)

Aguirre, Fabian; Sergi, Mark J; Levy, Cynthia A

2008-09-01

The present study is the first to examine emotional intelligence in persons with schizotypy. Over 2100 undergraduates were screened for schizotypy with the Schizotypal Personality Questionnaire-Brief Version. Forty participants identified as persons with high schizotypy and 56 participants identified as persons with low schizotypy completed assessments of emotional intelligence (Mayer-Salovey-Caruso Emotional Intelligence Test), social functioning (Social Adjustment Scale-Self Report), verbal episodic (secondary) memory (California Verbal Learning Test), and executive functioning (Wisconsin Card Sorting Test). Persons high in schizotypy were impaired in overall emotional intelligence and two aspects of emotional intelligence, the ability to perceive emotions and the ability to manage emotions. Persons high in schizotypy were also impaired in three aspects of social functioning: peer relationships, family relationships, and academic functioning. Group differences in verbal episodic (secondary) memory and executive functioning were not observed. For persons with high schizotypy, overall emotional intelligence and two aspects of emotional intelligence, the ability to perceive emotions and the ability to manage emotions, were associated with peer relationship functioning. Overall emotional intelligence was associated with verbal episodic (secondary) memory, but not executive functioning, in persons with high schizotypy. The current findings suggest that emotional intelligence is impaired in persons with schizotypy and that these impairments affect their social functioning.

Director of National Intelligence Statutory Authorities: Status and Proposals

National Research Council Canada - National Science Library

Best, Jr., Richard A; Cumming, Alfred

2008-01-01

...) to manage the Intelligence Community (IC). Some observers have questioned whether the act provides the DNI the authority necessary to effectively implement Congress's 2004 intelligence reforms...

Intelligent Transportation Systems (ITS) plan for Canada : en route to intelligent mobility

Science.gov (United States)

1999-11-01

Intelligent Transportation Systems (ITS) include the application of advanced information processing, communications, sensor and control technologies and management strategies in an integrated manner to improve the functioning of the transportation sy...

BUSINESS INTELLIGENCE – PAST, PRESENT AND FUTURE

Directory of Open Access Journals (Sweden)

Cătălina Monica ALEXE

2014-06-01

Full Text Available In a society constantly evolving, with information technologies being in a permanent transformation, the managers of agile, flexible organizations, which are equipped with the latest tools for making decisions and with people well trained to use them, will be able to successfully meet the challenges of the future. This paper presents the evolution of Business Intelligence and a comparative analysis between two modern developments of it, such as Mobile Business Intelligence and Cloud Business Intelligence, with accent on the advantages, disadvantages, implications and benefits at the company level. These are useful tools suitable for the management of the companies that are obliged to operate in a global economy facing with crisis.

EMOTIONAL INTELLIGENCE AND SUCCESSFUL LEADERSHIP

OpenAIRE

Ilić, Egli

2008-01-01

The occurrence of the construct of emotional intelligence in the late twentieth century provoked controversies among scientists, due to connecting two, seemingly exclusive psychological notions – intelligence and emotions, with emotions being considered as an obstacle to rational thinking and quality performance. However, numerous studies have proven that, provided they are appropriately managed, emotions may even facilitate rational thinking, influence the appropriate decision-making and per...

Artificial intelligence for optimal anemia management in end-stage renal disease.

Science.gov (United States)

Brier, Michael E; Gaweda, Adam E

2016-08-01

Computational intelligence for the prediction of hemoglobin to guide the selection of erythropoiesis-stimulating agent dose results in improved anemia management. The models used for the prediction result from the use of individual patient data and help to increase the number of hemoglobin observations within the target range. The benefits of using these modeling techniques appear to be a decrease in erythropoiesis-stimulating agent use and a decrease in the number of transfusions. This study confirms the results of previous smaller studies and suggests that additional beneficial results may be achieved. Copyright © 2016 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

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)

The relationship between the social management of emotional intelligence and academic performance among medical students.

Science.gov (United States)

Chew, Boon-How; Md Zain, Azhar; Hassan, Faezah

2015-01-01

Positive social interaction with peers was said to facilitate cognitive and intellectual development leading to good academic performance. There was paucity of published data on the effect of social management (SM) emotional intelligence (EI) on academic performance. We conducted this study to examine their relationship in the undergraduate medical students in a public medical school in Malaysia. This was a cross-sectional study using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) to measure the SM. The first and final year medical students were invited to participate. Students answered a paper-based demography questionnaire and completed the online MSCEIT in privacy. Independent predictors were identified using multivariate analyses. A total of 163 (84 first year and 79 final year) medical students completed the study (at a response rate of 66.0%). SM score (B = -.10 95% CI -.175 to -.015, p = .021) was significantly related to the continuous assessment (CA) marks (adjusted R(2) = .45, F13,137 = 10.26, p social intelligence and academic success in undergraduate medical students. A different collection of social skills and SM EI could be constructive towards academic achievement in medical schools.

A Framework for Integration of IVHM Technologies for Intelligent Integration for Vehicle Management

Science.gov (United States)

Paris, Deidre E.; Trevino, Luis; Watson, Mike

2005-01-01

As a part of the overall goal of developing Integrated Vehicle Health Management (IVHM) systems for aerospace vehicles, the NASA Faculty Fellowship Program (NFFP) at Marshall Space Flight Center has performed a pilot study on IVHM principals which integrates researched IVHM technologies in support of Integrated Intelligent Vehicle Management (IIVM). IVHM is the process of assessing, preserving, and restoring system functionality across flight and ground systems (NASA NGLT 2004). The framework presented in this paper integrates advanced computational techniques with sensor and communication technologies for spacecraft that can generate responses through detection, diagnosis, reasoning, and adapt to system faults in support of IIVM. These real-time responses allow the IIVM to modify the effected vehicle subsystem(s) prior to a catastrophic event. Furthermore, the objective of this pilot program is to develop and integrate technologies which can provide a continuous, intelligent, and adaptive health state of a vehicle and use this information to improve safety and reduce costs of operations. Recent investments in avionics, health management, and controls have been directed towards IIVM. As this concept has matured, it has become clear the IIVM requires the same sensors and processing capabilities as the real-time avionics functions to support diagnosis of subsystem problems. New sensors have been proposed, in addition, to augment the avionics sensors to support better system monitoring and diagnostics. As the designs have been considered, a synergy has been realized where the real-time avionics can utilize sensors proposed for diagnostics and prognostics to make better real-time decisions in response to detected failures. IIVM provides for a single system allowing modularity of functions and hardware across the vehicle. The framework that supports IIVM consists of 11 major on-board functions necessary to fully manage a space vehicle maintaining crew safety and mission

2nd International Conference on Intelligent Computing, Communication & Devices

CERN Document Server

Popentiu-Vladicescu, Florin

2017-01-01

The book presents high quality papers presented at 2nd International Conference on Intelligent Computing, Communication & Devices (ICCD 2016) organized by Interscience Institute of Management and Technology (IIMT), Bhubaneswar, Odisha, India, during 13 and 14 August, 2016. The book covers all dimensions of intelligent sciences in its three tracks, namely, intelligent computing, intelligent communication and intelligent devices. intelligent computing track covers areas such as intelligent and distributed computing, intelligent grid and cloud computing, internet of things, soft computing and engineering applications, data mining and knowledge discovery, semantic and web technology, hybrid systems, agent computing, bioinformatics, and recommendation systems. Intelligent communication covers communication and network technologies, including mobile broadband and all optical networks that are the key to groundbreaking inventions of intelligent communication technologies. This covers communication hardware, soft...

Artificial intelligence in power system optimization

CERN Document Server

Ongsakul, Weerakorn

2013-01-01

With the considerable increase of AI applications, AI is being increasingly used to solve optimization problems in engineering. In the past two decades, the applications of artificial intelligence in power systems have attracted much research. This book covers the current level of applications of artificial intelligence to the optimization problems in power systems. This book serves as a textbook for graduate students in electric power system management and is also be useful for those who are interested in using artificial intelligence in power system optimization.

Design a Smart Control Strategy to Implement an Intelligent Energy Safety and Management System

OpenAIRE

Jing-Min Wang; Ming-Ta Yang

2014-01-01

The energy saving and electricity safety are today a cause for increasing concern for homes and buildings. Integrating the radio frequency identification (RFID) and ZigBee wireless sensor network (WSN) mature technologies, the paper designs a smart control strategy to implement an intelligent energy safety and management system (IESMS) which performs energy measuring, controlling, monitoring, and saving of the power outlet system. The presented RFID and billing module is used to identify user...

The Intelligent Technologies of Electronic Information System

Science.gov (United States)

Li, Xianyu

2017-08-01

Based upon the synopsis of system intelligence and information services, this paper puts forward the attributes and the logic structure of information service, sets forth intelligent technology framework of electronic information system, and presents a series of measures, such as optimizing business information flow, advancing data decision capability, improving information fusion precision, strengthening deep learning application and enhancing prognostic and health management, and demonstrates system operation effectiveness. This will benefit the enhancement of system intelligence.

U.S. intelligence system: model for corporate chiefs?

Science.gov (United States)

Gilad, B

1991-01-01

A fully dedicated intelligence support function for senior management is no longer a luxury but a necessity. Companies can enhance their intelligence capabilities by using the government model as a rough blueprint to structure such a program.

Emotional intelligence and social interaction.

Science.gov (United States)

Lopes, Paulo N; Brackett, Marc A; Nezlek, John B; Schütz, Astrid; Sellin, Ina; Salovey, Peter

2004-08-01

Two studies found positive relationships between the ability to manage emotions and the quality of social interactions, supporting the predictive and incremental validity of an ability measure of emotional intelligence, the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). In a sample of 118 American college students (Study 1), higher scores on the managing emotions subscale of the MSCEIT were positively related to the quality of interactions with friends, evaluated separately by participants and two friends. In a diary study of social interaction with 103 German college students (Study 2), managing emotions scores were positively related to the perceived quality of interactions with opposite sex individuals. Scores on this subscale were also positively related to perceived success in impression management in social interactions with individuals of the opposite sex. In both studies, the main findings remained statistically significant after controlling for Big Five personality traits.

Swarm intelligence of artificial bees applied to In-Core Fuel Management Optimization

Energy Technology Data Exchange (ETDEWEB)

Santos de Oliveira, Iona Maghali, E-mail: ioliveira@con.ufrj.br [Nuclear Engineering Program, Federal University of Rio de Janeiro, P.O. Box 68509, Zip Code 21945-970, Rio de Janeiro, RJ (Brazil); Schirru, Roberto, E-mail: schirru@lmp.ufrj.br [Nuclear Engineering Program, Federal University of Rio de Janeiro, P.O. Box 68509, Zip Code 21945-970, Rio de Janeiro, RJ (Brazil)

2011-05-15

Research highlights: > We present Artificial Bee Colony with Random Keys (ABCRK) for In-Core Fuel Management Optimization. > Its performance is examined through the optimization of a Brazilian '2-loop' PWR. > Feasibility of using ABCRK is shown against some well known population-based algorithms. > Additional advantage includes the utilization of fewer control parameters. - Abstract: Artificial Bee Colony (ABC) algorithm is a relatively new member of swarm intelligence. ABC tries to simulate the intelligent behavior of real honey bees in food foraging and can be used for solving continuous optimization and multi-dimensional numeric problems. This paper introduces the Artificial Bee Colony with Random Keys (ABCRK), a modified ABC algorithm for solving combinatorial problems such as the In-Core Fuel Management Optimization (ICFMO). The ICFMO is a hard combinatorial optimization problem in Nuclear Engineering which during many years has been solved by expert knowledge. It aims at getting the best arrangement of fuel in the nuclear reactor core that leads to a maximization of the operating time. As a consequence, the operation cost decreases and money is saved. In this study, ABCRK is used for optimizing the ICFMO problem of a Brazilian '2-loop' Pressurized Water Reactor (PWR) Nuclear Power Plant (NPP) and the results obtained with the proposed algorithm are compared with those obtained by Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). The results show that the performance of the ABCRK algorithm is better than or similar to that of other population-based algorithms, with the advantage of employing fewer control parameters.

Swarm intelligence of artificial bees applied to In-Core Fuel Management Optimization

International Nuclear Information System (INIS)

Santos de Oliveira, Iona Maghali; Schirru, Roberto

2011-01-01

Research highlights: → We present Artificial Bee Colony with Random Keys (ABCRK) for In-Core Fuel Management Optimization. → Its performance is examined through the optimization of a Brazilian '2-loop' PWR. → Feasibility of using ABCRK is shown against some well known population-based algorithms. → Additional advantage includes the utilization of fewer control parameters. - Abstract: Artificial Bee Colony (ABC) algorithm is a relatively new member of swarm intelligence. ABC tries to simulate the intelligent behavior of real honey bees in food foraging and can be used for solving continuous optimization and multi-dimensional numeric problems. This paper introduces the Artificial Bee Colony with Random Keys (ABCRK), a modified ABC algorithm for solving combinatorial problems such as the In-Core Fuel Management Optimization (ICFMO). The ICFMO is a hard combinatorial optimization problem in Nuclear Engineering which during many years has been solved by expert knowledge. It aims at getting the best arrangement of fuel in the nuclear reactor core that leads to a maximization of the operating time. As a consequence, the operation cost decreases and money is saved. In this study, ABCRK is used for optimizing the ICFMO problem of a Brazilian '2-loop' Pressurized Water Reactor (PWR) Nuclear Power Plant (NPP) and the results obtained with the proposed algorithm are compared with those obtained by Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). The results show that the performance of the ABCRK algorithm is better than or similar to that of other population-based algorithms, with the advantage of employing fewer control parameters.

The concept of the holistic management as a new approach in the theory of management

OpenAIRE

Porvaznik, Jan

2011-01-01

The types of objects scientifically researched and the types of sciences used for research. The crisis of contemporary science. Classical and holistic management. The knowledge pillar of management, the application pillar of management, social pillar of management. Holistic intelligence (HQ), knowledge intelligence (KQ), application intelligence (AQ), social intelligence (SQ). Holistic management and its role in solving the contemporary problems of mankind.

Intelligent system for lighting control in smart cities

OpenAIRE

de Paz Santana, Juan F.; Bajo Pérez, Javier; Rodríguez González, Sara; Villarrubia González, Gabriel; Corchado Rodríguez, Juan M.

2017-01-01

This paper presents an adaptive architecture that centralizes the control of public lighting and intelligent management to economize lighting and maintain maximum visual comfort in illuminated areas. To carry out this management, the architecture merges various techniques of artificial intelligence (AI) and statistics such as artificial neural networks (ANN), multi-agent systems (MAS), EM algorithm, methods based on ANOVA, and a Service Oriented Approach (SOA). It achieves optimization in ter...

Business intelligence making decisions through data analytics

CERN Document Server

Surma, Jerzy

2014-01-01

This book is about using business intelligence as a management information system for supporting managerial decision making. It concentrates primarily on practical business issues and demonstrates how to apply data warehousing and data analytics to support business decision making. This book progresses through a logical sequence, starting with data model infrastructure, then data preparation, followed by data analysis, integration, knowledge discovery, and finally the actual use of discovered knowledge. All examples are based on the most recent achievements in business intelligence. Finally this book outlines an overview of a methodology that takes into account the complexity of developing applications in an integrated business intelligence environment. This book is written for managers, business consultants, and undergraduate and postgraduates students in business administration.

Intelligence in Artificial Intelligence

OpenAIRE

Datta, Shoumen Palit Austin

2016-01-01

The elusive quest for intelligence in artificial intelligence prompts us to consider that instituting human-level intelligence in systems may be (still) in the realm of utopia. In about a quarter century, we have witnessed the winter of AI (1990) being transformed and transported to the zenith of tabloid fodder about AI (2015). The discussion at hand is about the elements that constitute the canonical idea of intelligence. The delivery of intelligence as a pay-per-use-service, popping out of ...

Clinical Process Intelligence

DEFF Research Database (Denmark)

Vilstrup Pedersen, Klaus

2006-01-01

.e. local guidelines. From a knowledge management point of view, this externalization of generalized processes, gives the opportunity to learn from, evaluate and optimize the processes. "Clinical Process Intelligence" (CPI), will denote the goal of getting generalized insight into patient centered health...

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.

PALESTINE AUTOMOTIVE LICENSE IDENTITY RECOGNITION FOR INTELLIGENT PARKING SYSTEM

Directory of Open Access Journals (Sweden)

ANEES ABU SNEINEH

2017-05-01

Full Text Available Providing employees with protection and security is one of the key concerns of any organization. This goal can be implemented mainly by managing and protecting employees’ cars in the parking area. Therefore, a parking area must be managed and organized with smart technologies and tools that can be applied and integrated in an intelligent parking system. This paper presents the tools based on image recognition technology that can be used to effectively control various parts of a parking system. An intelligent automotive parking system is effectively implemented by integrating image processing technologies and an Arduino controller. Results show that intelligent parking is successfully implemented based on car ID image capture to meet the need for managing and organizing car parking systems.

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.

Collective Intelligence in Crises

DEFF Research Database (Denmark)

Büscher, Monika; Liegl, Michael; Thomas, Vanessa

2014-01-01

New practices of social media use in emergency response seem to enable broader `situation awareness' and new forms of crisis management. The scale and speed of innovation in this field engenders disruptive innovation or a reordering of social, political, economic practices of emergency response....... By examining these dynamics with the concept of social collective intelligence, important opportunities and challenges can be examined. In this chapter we focus on socio-technical aspects of social collective intelligence in crises to discuss positive and negative frictions and avenues for innovation...

Understanding the use of strategic intelligence as a strategic management tool in the long-term insurance industry in South Africa

Directory of Open Access Journals (Sweden)

René Pellissier

2011-10-01

The paper obtained the qualitative views and opinions of strategic decision makers, on an executive managerial level within the South African long-term insurance industry, on their organisations use of strategic intelligence. It was found that there are marked differences in the conformity and usage of strategic intelligence and its components between the organisations surveyed, with a measurable difference between large and small organisations. It is, however, generally viewed that the use of a strategic intelligence framework could greatly enhance decision-making. Data collection for the research undertaken was limited to the 82 long-term insurance companies, which were registered with the South African Financial Services Board. More specifically the focus was on the organisations listed on the Johannesburg Securities Exchange within the Life Assurance sector, within which a final response rate of 36.1% was achieved, including the 100% response rate from the six listed organisations. By understanding the extent to which strategic intelligence is utilised in the South African longterminsurance industry, and the benefits or problems that are experienced by implementing and using strategic intelligence as an input to the strategic management process we can comprehend the value that strategic intelligence adds in the decision making process. The originality of this work concludes in the identification and utilisation of the most important factors of a strategic intelligence framework that will greatly enhance global corporate decisionmakingand result in competitive advantage and constant innovation within the South African business environment.

Signal Corps and Military Intelligence Officer Perceptions of a Multifunctional Branch Merger

Science.gov (United States)

2015-06-12

Ordnance Branch OPMS Officer Personnel Management System ORSA Operations Research—Systems Analysis OSINT Open Source Intelligence PME Primary...HUMINT), Geospatial Intelligence (GEOINT), and Open Source Intelligence ( OSINT ). The broad scope of what is expected from Military Intelligence...and assessment dimensions (SIGINT, MASINT, TECHINT, OSINT , etc.) It is recommended that the Military Intelligence Branch more accurately define which

Intelligent promotion of city and gas enterprise

Energy Technology Data Exchange (ETDEWEB)

1989-07-01

This paper studied the conception of intelligent promotion in cities, present situation and future trend, and reported how gas enterprises should respond. The intelligent promotion is divided into two areas, namely, that in the business buildings and that in private houses. Thia paper studied mainly for that in business buildings and then the concept of intelligent promotion in private houses was arranged. The intelligent promotion was thought by dividing four systems, that is, space and equipment system, service and management system, human system, and social system. But present intelligent promotion is carried out only a part of three systems except last one. A part of human system and social system are remained as the future problems. 4 figs., 2 tabs.

Managing the Private Spies: Use of Commercial Augmentation for Intelligence Operations

National Research Council Canada - National Science Library

Voelz, Glenn J

2006-01-01

The extensive use of contractor personnel to augment military intelligence operations is now an established fact of life and any effective and efficient design for intelligence support to operating...

Advances in intelligent process-aware information systems concepts, methods, and technologies

CERN Document Server

Oberhauser, Roy; Reichert, Manfred

2017-01-01

This book provides a state-of-the-art perspective on intelligent process-aware information systems and presents chapters on specific facets and approaches applicable to such systems. Further, it highlights novel advances and developments in various aspects of intelligent process-aware information systems and business process management systems. Intelligence capabilities are increasingly being integrated into or created in many of today’s software products and services. Process-aware information systems provide critical computing infrastructure to support the various processes involved in the creation and delivery of business products and services. Yet the integration of intelligence capabilities into process-aware information systems is a non-trivial yet necessary evolution of these complex systems. The book’s individual chapters address adaptive process management, case management processes, autonomically-capable processes, process-oriented information logistics, process recommendations, reasoning over ...

Intelligent fractions learning system: implementation

CSIR Research Space (South Africa)

Smith, Andrew C

2011-05-01

Full Text Available Conference Proceedings Paul Cunningham and Miriam Cunningham (Eds) IIMC International Information Management Corporation, 2011 ISBN: 978-1-905824-24-3 An Intelligent Fractions Learning System: Implementation Andrew Cyrus SMITH1, Teemu H. LAINE2 1CSIR... to fractions. Our aim with the current research project is to extend the existing UFractions learning system to incorporate automatic data capturing. ?Intelligent UFractions? allows a teacher to remotely monitor the children?s progress during...

Intelligent heat management in cooling modules; Intelligentes Thermomanagement in Kuehlmodulen

Energy Technology Data Exchange (ETDEWEB)

Wilken, H. [Sueddeutsche Kuehlerfabrik Julius F. Behr GmbH und Co. KG, Stuttgart (Germany); Loehle, M. [Sueddeutsche Kuehlerfabrik Julius F. Behr GmbH und Co. KG, Stuttgart (Germany); Bauer, D. [Sueddeutsche Kuehlerfabrik Julius F. Behr GmbH und Co. KG, Stuttgart (Germany)

1995-12-31

The combination of numerous components which transfer heat, transport and conduct air and the corresponding control devices into a single module enables the realisation of additional functions, the increase of quality and the minimisation of weight, volume and cost. The integration of further components provides the opportunity to develop an intelligent thermo-management system. The advantages and capabilities of such a system which has been developed by only one responsible purveyor are explained. (orig.) [Deutsch] Die Zusammenfassung einer Vielzahl waermeuebertragender, luftfoerdernder, luftleitender Komponenten und Regeleinrichtungen in einem einzigen Modul ermoeglicht die Wahrnehmung zusaetzlicher Funktionen, die Steigerung der Qualitaet sowie Minimierung von Gewicht, Volumen und Kosten. Die Integration weiterer Komponenten bietet die Chance der Weiterentwicklung hin zu einem intelligenten Thermomanagementsystem. Vorteile und Moeglichkeiten eines derartigen, in der Hand eines systemverantwortlichen Zulieferers entwickelten Systemes werden aufgezeigt. (orig.)

Knowledge-Based Aircraft Automation: Managers Guide on the use of Artificial Intelligence for Aircraft Automation and Verification and Validation Approach for a Neural-Based Flight Controller

Science.gov (United States)

Broderick, Ron

1997-01-01

The ultimate goal of this report was to integrate the powerful tools of artificial intelligence into the traditional process of software development. To maintain the US aerospace competitive advantage, traditional aerospace and software engineers need to more easily incorporate the technology of artificial intelligence into the advanced aerospace systems being designed today. The future goal was to transition artificial intelligence from an emerging technology to a standard technology that is considered early in the life cycle process to develop state-of-the-art aircraft automation systems. This report addressed the future goal in two ways. First, it provided a matrix that identified typical aircraft automation applications conducive to various artificial intelligence methods. The purpose of this matrix was to provide top-level guidance to managers contemplating the possible use of artificial intelligence in the development of aircraft automation. Second, the report provided a methodology to formally evaluate neural networks as part of the traditional process of software development. The matrix was developed by organizing the discipline of artificial intelligence into the following six methods: logical, object representation-based, distributed, uncertainty management, temporal and neurocomputing. Next, a study of existing aircraft automation applications that have been conducive to artificial intelligence implementation resulted in the following five categories: pilot-vehicle interface, system status and diagnosis, situation assessment, automatic flight planning, and aircraft flight control. The resulting matrix provided management guidance to understand artificial intelligence as it applied to aircraft automation. The approach taken to develop a methodology to formally evaluate neural networks as part of the software engineering life cycle was to start with the existing software quality assurance standards and to change these standards to include neural network

How Emotionally Intelligent Are Pre-Service Teachers?

Science.gov (United States)

Corcoran, Roisin P.; Tormey, Roland

2012-01-01

Although there is evidence that teacher emotional intelligence is important for pupil adjustment and learning and for teachers in managing the emotional demands of their work, little is known about the levels of emotional skill of teachers and beginning teachers. Using Mayer and Salovey's emotional intelligence (EI) model and the MSCEIT test of…

The Role of Artificial Intelligence Technologies in Crisis Response

OpenAIRE

Khalil, Khaled M.; Abdel-Aziz, M.; Nazmy, Taymour T.; Salem, Abdel-Badeeh M.

2008-01-01

Crisis response poses many of the most difficult information technology in crisis management. It requires information and communication-intensive efforts, utilized for reducing uncertainty, calculating and comparing costs and benefits, and managing resources in a fashion beyond those regularly available to handle routine problems. In this paper, we explore the benefits of artificial intelligence technologies in crisis response. This paper discusses the role of artificial intelligence technolo...

Advances in software development for intelligent interfaces for alarm and emergency management consoles

International Nuclear Information System (INIS)

Moseley, M.R.; Olson, C.E.

1986-01-01

Recent advances in technology allow features like voice synthesis, voice and speech recognition, image understanding, and intelligent data base management to be incorporated in computer driven alarm and emergency management information systems. New software development environments make it possible to do rapid prototyping of custom applications. Three examples using these technologies are discussed. 1) Maximum use is made of high-speed graphics and voice synthesis to implement a state-of-the-art alarm processing and display system with features that make the operator-machine interface efficient and accurate. 2) An application generator which has the capability of ''building'' a specific alarm processing and display application in a matter of a few hours, using the site definition developed in the security planning phase to produce the custom application. 3) A software tool, is described which permits rapid prototyping of human-machine interfaces for a variety of applications including emergency management, alarm display and process information display

Emotional intelligence is a second-stratum factor of intelligence: evidence from hierarchical and bifactor models.

Science.gov (United States)

MacCann, Carolyn; Joseph, Dana L; Newman, Daniel A; Roberts, Richard D

2014-04-01

This article examines the status of emotional intelligence (EI) within the structure of human cognitive abilities. To evaluate whether EI is a 2nd-stratum factor of intelligence, data were fit to a series of structural models involving 3 indicators each for fluid intelligence, crystallized intelligence, quantitative reasoning, visual processing, and broad retrieval ability, as well as 2 indicators each for emotion perception, emotion understanding, and emotion management. Unidimensional, multidimensional, hierarchical, and bifactor solutions were estimated in a sample of 688 college and community college students. Results suggest adequate fit for 2 models: (a) an oblique 8-factor model (with 5 traditional cognitive ability factors and 3 EI factors) and (b) a hierarchical solution (with cognitive g at the highest level and EI representing a 2nd-stratum factor that loads onto g at λ = .80). The acceptable relative fit of the hierarchical model confirms the notion that EI is a group factor of cognitive ability, marking the expression of intelligence in the emotion domain. The discussion proposes a possible expansion of Cattell-Horn-Carroll theory to include EI as a 2nd-stratum factor of similar standing to factors such as fluid intelligence and visual processing.

Intelligent Demand Side Management within production systems. Towards Industrial Smart Grids; Intelligente Lastverschiebung in der Produktionstechnik. Ein Weg zum Industrial Smart Grid

Energy Technology Data Exchange (ETDEWEB)

Schriegel, Sebastian; Pethig, Florian; Jasperneite, Juergen [Fraunhofer-Anwendungszentrum Industrial Automation (IOSB-INA), Lemgo (Germany)

2012-07-01

Demand Side Management is a key technology of smart grids. Consumers adjust their energy consumption at current time-volatile energy generation capacity. The currently used energy consumption optimizations, such as the use of energy efficient actuators, pause functions and peak load management should be supplemented by a dynamic real-time energy management. For industrial consumers, such an energy management may be established at various levels of the automation pyramid. On plant level energy optimization is based on predictions, on control and field level optimization is based on process variables. The taxonomy of potential energy optimization differentiates between organizational, synchronization and single parameter optimization. This potential can be exploited with intelligent control technology based on qualified process models and tunable control programs. An Industrial Smart Grid results by interlinking the former mentioned intelligent control technologies with the plant infrastructure and thereby provides an optimal energy consumption behavior and a perfect integration into and interaction with the smart grid. (orig.)

Control and Driving Methods for LED Based Intelligent Light Sources

OpenAIRE

Beczkowski, Szymon

2012-01-01

High power light-emitting diodes allow the creation of luminaires capable of generating saturated colour light at very high efficacies. Contrary to traditional light sources like incandescent and high-intensity discharge lamps, where colour is generated using filters, LEDs use additive light mixing, where the intensity of each primary colour diode has to be adjusted to the needed intensity to generate specified colour. The function of LED driver is to supply the diode with power needed to ach...

Artificial Intelligence and Moral intelligence

OpenAIRE

Laura Pana

2008-01-01

We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/must be treated as 1- individual entities (with a complex, specialized, autonomous or selfdetermined,...

An investigation on the effects of financial management skills, wealth and financial intelligence on investors’ risk tolerance: Empirical evidence from Tehran Stock Exchange

Directory of Open Access Journals (Sweden)

Saied Aghasi

2014-05-01

Full Text Available During the past few years, Tehran Stock Exchange (TSE has been changed into one of the most popular places to invest and index has been quadrupled in fewer than three years. As a result, many people have been attracted to invest on TSE market. This paper presents an empirical investigation to study the effects of investors’ personal characteristics including financial management skills, wealth and financial intelligence on investors’ risk tolerance among 384 randomly chosen investors who were active on TSE market in city of Esfahan, Iran. Using structural equation modeling, the study has determined that financial management skills, wealth and financial intelligence influence positively on investors’ risk tolerance.

An Intelligent Information System for forest management: NED/FVS integration

Science.gov (United States)

J. Wang; W.D. Potter; D. Nute; F. Maier; H. Michael Rauscher; M.J. Twery; S. Thomasma; P. Knopp

2002-01-01

An Intelligent Information System (IIS) is viewed as composed of a unified knowledge base, database, and model base. This allows an IIS to provide responses to user queries regardless of whether the query process involves a data retrieval, an inference, a computational method, a problem solving module, or some combination of these. NED-2 is a full-featured intelligent...

Local intelligent electronic device (IED) rendering templates over limited bandwidth communication link to manage remote IED

Science.gov (United States)

Bradetich, Ryan; Dearien, Jason A; Grussling, Barry Jakob; Remaley, Gavin

2013-11-05

The present disclosure provides systems and methods for remote device management. According to various embodiments, a local intelligent electronic device (IED) may be in communication with a remote IED via a limited bandwidth communication link, such as a serial link. The limited bandwidth communication link may not support traditional remote management interfaces. According to one embodiment, a local IED may present an operator with a management interface for a remote IED by rendering locally stored templates. The local IED may render the locally stored templates using sparse data obtained from the remote IED. According to various embodiments, the management interface may be a web client interface and/or an HTML interface. The bandwidth required to present a remote management interface may be significantly reduced by rendering locally stored templates rather than requesting an entire management interface from the remote IED. According to various embodiments, an IED may comprise an encryption transceiver.

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.

An Integrated Conceptual Environment based on Collective Intelligence and Distributed Artificial Intelligence for Connecting People on Problem Solving

Directory of Open Access Journals (Sweden)

Vasile MAZILESCU

2012-12-01

Full Text Available This paper aims to analyze the different forms of intelligence within organizations in a systemic and inclusive vision, in order to conceptualize an integrated environment based on Distributed Artificial Intelligence (DAI and Collective Intelligence (CI. In this way we effectively shift the classical approaches of connecting people with people using collaboration tools (which allow people to work together, such as videoconferencing or email, groupware in virtual space, forums, workflow, of connecting people with a series of content management knowledge (taxonomies and documents classification, ontologies or thesauri, search engines, portals, to the current approaches of connecting people on the use (automatic of operational knowledge to solve problems and make decisions based on intellectual cooperation. The best way to use collective intelligence is based on knowledge mobilization and semantic technologies. We must not let computers to imitate people but to support people think and develop their ideas within a group. CI helps people to think together, while DAI tries to support people so as to limit human error. Within an organization, to manage CI is to combine instruments like Semantic Technologies (STs, knowledge mobilization methods for developing Knowledge Management (KM strategies, and the processes that promote connection and collaboration between individual minds in order to achieve collective objectives, to perform a task or to solve increasingly economic complex problems.

IQARIS : a tool for the intelligent querying, analysis, and retrieval from information systems

International Nuclear Information System (INIS)

Hummel, J. R.; Silver, R. B.

2002-01-01

Information glut is one of the primary characteristics of the electronic age. Managing such large volumes of information (e.g., keeping track of the types, where they are, their relationships, who controls them, etc.) can be done efficiently with an intelligent, user-oriented information management system. The purpose of this paper is to describe a concept for managing information resources based on an intelligent information technology system developed by the Argonne National Laboratory for managing digital libraries. The Argonne system, Intelligent Query (IQ), enables users to query digital libraries and view the holdings that match the query from different perspectives

Impact of Emotional Intelligence on Employees' Performance and ...

African Journals Online (AJOL)

2012r

During the past decade, management researchers claim that emotional intelligence ... Commitment: Case Study of Dangote Flour Mills Workers. 3 ... The concept of emotional intelligence goes back to early studies in the 1920s. (Bar-on .... social skills of supervisors to subordinates' strategies of handling conflict: problem ...

EMOTIONAL INTELLIGENCE AND PARENTING STYLES INFLUENCE ON ADOLESCENT GIRLS

Directory of Open Access Journals (Sweden)

A V Krasnov

2016-12-01

Full Text Available Foreign psychologists believe that parenting may influence children’s development of emotional intelligence. However, little research has been done in this area. In view of the reviewed literature and given the scarcity of data, we conducted an exploratory study in an as yet unexplored field. The present study aims at examining relationships between the parenting practices and adolescents’ emotional intelligence. 74 students (17-18 years, females were surveyed to assess their perception of parenting styles and their own emotional intelligence. Spearman’s rank correlation coefficients showed that adolescents’ emotional intelligence correlated with one of maternal parenting styles (positive attitude and four of paternal parenting styles (positive attitude, directivity, autonomy, incoherence. Positive interest of parents positively correlated with adolescents’ ability for understanding their own emotions. Paternal positive interest positively correlated with adolescents’ ability for managing their own emotions and emotional intelligence. Paternal directivity positively correlated with adolescents’ ability for understanding emotions (their own and other people’s. Paternal autonomy negatively correlated with adolescents’ emotional intelligence and ability for understanding other people’s emotions. Paternalincoherence negatively correlated with adolescents’ ability for understanding and managing their own emotions.

Error Management in ATLAS TDAQ: An Intelligent Systems approach

CERN Document Server

Slopper, John Erik

2010-01-01

This thesis is concerned with the use of intelligent system techniques (IST) within a large distributed software system, specically the ATLAS TDAQ system which has been developed and is currently in use at the European Laboratory for Particle Physics(CERN). The overall aim is to investigate and evaluate a range of ITS techniques in order to improve the error management system (EMS) currently used within the TDAQ system via error detection and classication. The thesis work will provide a reference for future research and development of such methods in the TDAQ system. The thesis begins by describing the TDAQ system and the existing EMS, with a focus on the underlying expert system approach, in order to identify areas where improvements can be made using IST techniques. It then discusses measures of evaluating error detection and classication techniques and the factors specic to the TDAQ system. Error conditions are then simulated in a controlled manner using an experimental setup and datasets were gathered fro...

COMPETITIVE INTELLIGENCE: THE ENHANCING ROLE OF ORGANIZATIONAL LEARNING CAPABILITY

OpenAIRE

HAMAD, Zaina Mustafa Mahmoud; YOZGAT, Ugur

2017-01-01

Performinga strong intelligence grants an organization a guaranteeof long-term success. This paper investigates the enhancing effect of organizational learning capabilities on competitive intelligence atthe commercial banks in Jordan. A sample within top and middle managements was used.Measurement instrument validity and model fit were assessed before testinghypotheses. This study emphasizes the role learning capability plays inenhancing intelligence. Key findings support importance of organi...

The study of emotional intelligence at preadolescents from different environment

Directory of Open Access Journals (Sweden)

Racu Iulia

2016-09-01

Full Text Available The issue of emotional intelligence is an important one in the sphere of human resources, management, education and psychology. Emotional intelligence is the capability of individuals to recognize their own, and other people’s emotions, to discriminate between different feelings and label them appropriately, and to use emotional information to guide thinking and behaviour. The present research is focused on emotional intelligence at preadolescents. As a result we established that the high level of emotional intelligence is particular for 23,46% preadolescents. Girls manifest a high level of emotional intelligence. Also high level of emotional intelligence is characteristic to 13 – 14 preadolescents. The emotional intelligence are more developed at preadolescents from rural environment.

Intelligence Naturelle et Intelligence Artificielle

OpenAIRE

Dubois, Daniel

2011-01-01

Cet article présente une approche systémique du concept d’intelligence naturelle en ayant pour objectif de créer une intelligence artificielle. Ainsi, l’intelligence naturelle, humaine et animale non-humaine, est une fonction composée de facultés permettant de connaître et de comprendre. De plus, l'intelligence naturelle reste indissociable de la structure, à savoir les organes du cerveau et du corps. La tentation est grande de doter les systèmes informatiques d’une intelligence artificielle ...

Knowledge Management and Problem Solving in Real Time: The Role of Swarm Intelligence

Directory of Open Access Journals (Sweden)

Chris W Callaghan

2016-06-01

Full Text Available Knowledge management research applied to the development of real-time research capability, or capability to solve societal problems in hours and days instead of years and decades, is perhaps increasingly important, given persistent global problems such as the Zika virus and rapidly developing antibiotic resistance. Drawing on swarm intelligence theory, this paper presents an approach to real-time research problem-solving in the form of a framework for understanding the complexity of real-time research and the challenges associated with maximizing collaboration. The objective of this research is to make explicit certain theoretical, methodological, and practical implications deriving from new literature on emerging technologies and new forms of problem solving and to offer a model of real-time problem solving based on a synthesis of the literature. Drawing from ant colony, bee colony, and particle swarm optimization, as well as other population-based metaheuristics, swarm intelligence principles are derived in support of improved effectiveness and efficiency for multidisciplinary human swarm problem-solving. This synthesis seeks to offer useful insights into the research process, by offering a perspective of what maximized collaboration, as a system, implies for real-time problem solving.

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.  .

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. 

Competitive Intelligence in Malaysia Pharmaceutical Industry : Effectiveness of Implementation

OpenAIRE

Ooi, Hooi Min

2004-01-01

Competitive Intelligence is increasingly being considered an important, if not mandatory, piece of every business’ overall strategy and functioning, including tactical and strategic planning. The level of Competitive Intelligence activities differ by industries, and at different stage of product life cycle. It is closely linked to Knowledge Management – another major field on the way company handling information. Competitive Intelligence has often been related to industrial espionage where so...

Artificial intelligence applied in claims management: Bet on the right customer with claims satisfaction predictive modeling

OpenAIRE

Lamarsaude, Benoit

2017-01-01

Insurance companies suffer from loss of customer consecutively to claims. Only a small portion of dissatisfied customer expresses themselves, creating difficulties in establishing a long term relationship. Increase customer loyalty is a major subject for insurers, because they have to maintain a minimum portfolio size and acquiring newclients is more expensive than retains the existing. In this work we use artificial intelligence techniques to assess and manage the customer satisfaction when ...

Inteligência social e inteligência competitivaSocial intelligence and competitive intelligence

Directory of Open Access Journals (Sweden)

Kira Tarapanoff

2004-01-01

Full Text Available Coloca os conceitos de inteligência social e coletiva no contexto da Sociedade da informação e do Conhecimento. Traça o desenvolvimento da inteligência econômica nos países e a aplicação da inteligência competitiva nas organizações. Defende que a ação conjunta do processo de gestão da informação e gestão do conhecimento, ambas em apoio às estratégia e missão organizacional, apresentam para o processo de tomada de decisão uma propriedade emergente que é a inteligência institucional.The concepts of social and collective intelligence are placed within the context of the Information and Knowledge Society. The development of the economic intelligence is given as well as its application and development in organizations as competitive intelligence. The thesis defended is that the joint action of the information and knowledge management processes, both in support to strategies and organization’s mission , have na emerging property for the decision making process – that is the institutional intelligence.

Integrative solutions for intelligent energy management. Smart metering, smart home, smart grid; Integrative Loesungsansaetze fuer ein intelligentes Energiemanagement. Smart Metering, Smart Home and Smart Grid

Energy Technology Data Exchange (ETDEWEB)

Jungfleisch, Achim [Hager Vertriebsgesellschaft mbH und Co. KG, Blieskastel (Germany). Marketing

2011-07-01

Smart Metering, Smart Home, Smart Grid - these key words significantly determine the current debate about intelligent energy management, or new energy concepts. The author of the contribution under consideration describes the interactions between Smart Metering, Smart Home and Smart Grids and the technical connection of these interactions. Thus, the compact tebis KNX demovea server connects Windows computer and the Internet with the building automation based on KNX. The technically simple combination of smart metering and smart home via Hager radio tower of the building automation provides an access to key energy data for an intelligent load management.

Data Management in an Intelligent Environment for Cognitive Disabled and Elderly People

Science.gov (United States)

Loniewski, Grzegorz; Ramon, Emilio Lorente; Walderhaug, Ståle; Martinez Franco, Sixto; Cubillos Esteve, Juan Jose; Marco, Eduardo Sebastian

Recently intelligent and personalized medical systems tend to be one of the most important branches of the health-care domain, playing a great role in improving the quality of life of people that want to feel safe and to be assisted not regarding the place they are. This paper presents an innovative way of data management based on a middleware platform providing services for fast and easy creation of applications dealing with the problems of taking care of patients in their homes. The work was carried out as a part of the MPOWER project, funded by the EU 6th Framework Programme, and carried out by a multinational development team. The project focuses on supporting activities of daily living and provides services for elderly and cognitive disabled, e.g. people with dementia. The MPOWER platform is designed to facilitate rapid development of a variety of applications and adopt them to specific users’ needs. The paper introduces the whole platform, its functionality and principal goals along with the architectural background of data management, focusing on the different types of data that the system has to manage and analyze. The last section concludes the work done on the project.

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

Impact of emotional intelligence on job performance

Directory of Open Access Journals (Sweden)

Marjanca Krajnc

2012-06-01

Full Text Available RQ: To determine whether emotional intelligence has an impact on motivation and how this can affect work performance.Purpose: High work performance of individuals in an organization can be achieved with a high level of motivation that is directly derived from emotional intelligence. Because the impact of emotional intelligence in organizations is under-researched and is not sufficiently included in the scope of management, there is a need tofurther explore this topic.Method: Qualitative analysis in the form of interviews and quantitative analysis in the form of a survey was used in this study. Details of interviews with employees were analyzed according to the rules of qualitative methods. The data obtained in the survey were analyzed with a chi-square test.Results: The results showed that emotional intelligence has a significant impact on motivation and that emotionally motivated person works more and better.Organization: Management can take these research findings into consideration during the human resources management process, and in the procedures of a comprehensive development of individual’s personal potential. The result of the research findings can be used bymanagement, supervisors, and all employees as a method to establish better motivational climate.Society: With a similar, but wider purpose, the findings of this research can be taken into account in the wider social environment, particularly in the field of public administration and media.Originality: In Slovenian organizations, research on this topic and in this combination has not yet been performed.Limitations: The sample is small and limited to only one major successful Slovenian company. It takes into account only the influence of motivation that comes from emotional intelligence.

Real-Time Business Intelligence in the MIRABEL Smart Grid System

DEFF Research Database (Denmark)

Fischer, Ulrike; Kaulakiene, Dalia; Khalefa, Mohamed

2012-01-01

of energy related data, and must be able to react rapidly (but intelligently) when conditions change, leading to substantial real-time business intelligence challenges. This paper discusses these challenges and presents data management solutions in the European smart grid project MIRABEL. These solutions......) data. Experimental studies show that the proposed solutions support important real-time business intelligence tasks in a smart grid system....

Thinking style preference, emotional intelligence and leadership effectiveness

Directory of Open Access Journals (Sweden)

Tessie H. Herbst

2008-04-01

Full Text Available In this study, the researchers investigate the relationship between thinking style preference, emotional intelligence and leadership effectiveness in an institution of higher education. The measuring instruments used were the Neethling Brain Preference Profle (NBPP and the Mayer, Salovey and Caruso Emotional Intelligence Test (MSCEIT, as well as the Kouzes and Posner Leadership Practices Inventory (LPI. The sample comprised 138 managers within a higher education institution. The researchers found some evidence to support the relationship between thinking style, emotional intelligence (EI and leadership effectiveness. The researchers concluded that facets of brain dominance and emotional intelligence may be potentially useful predictors of transformational leadership behaviours.

Teaching successful intelligence to gifted and talented students

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Robert Sternberg

2010-04-01

Full Text Available The aim of this study is to analyze the theory of successful intelligence as a strategy to meet the educational needs of gifted and talented students. First, we present the theory of successful intelligence as an alternative that allows for an in-depth study of the cognitive complexity of high ability from a broader perspective of intelligence. Second, we analyze the roles of students and teachers in the learning-teaching process. Third, we indicate some learning strategies aimed at promoting the management of resources in the classroom related to the analytical, synthetic or creative and practical intelligence. Finally, some conclusions are drawn.

Artificial intelligence techniques in Prolog

CERN Document Server

Shoham, Yoav

1993-01-01

Artificial Intelligence Techniques in Prolog introduces the reader to the use of well-established algorithmic techniques in the field of artificial intelligence (AI), with Prolog as the implementation language. The techniques considered cover general areas such as search, rule-based systems, and truth maintenance, as well as constraint satisfaction and uncertainty management. Specific application domains such as temporal reasoning, machine learning, and natural language are also discussed.Comprised of 10 chapters, this book begins with an overview of Prolog, paying particular attention to Prol

Business intelligence as a tool in the management academic

Directory of Open Access Journals (Sweden)

Juan Jose Camargo Vega

2016-06-01

Full Text Available This paper presents a study, analyze and evaluate characteristics of existing data in the academic community, in order to recommend a model to apply Business Intelligence. It starts from the assumption that knowing the effects on the academic community, if you have a corporate strategy to facilitate decision-making in educational institutions. The results are based on a three dimensional cube, which are combining strong to make decisions with the information made. Finally, we come to different conclusions enabling give sufficient grounds to recommend a model that Integrate Business Intelligence in the academic environment.

HOW TO MAKE ANALYSIS WORK IN BUSINESS INTELLIGENCE SOFTWARE

OpenAIRE

Axner, Dr Lilit

2009-01-01

Competitive Intelligence (CI) has been defined by many authors. These definitions do have certain differences but all of them have a main common feature: They put the accent on the analysis. The most precise definition is given by the Society for Competitive Intelligence Professionals (SCIP): “A systematic and ethical program for gathering, analyzing, and managing external information that can affect your company’s plans, decisions, and operations”. Business Intelligence (BI) is much broader ...

Emotional intelligence and spiritual well-being: implications for spiritual care.

Science.gov (United States)

Beauvais, Audrey; Stewart, Julie G; DeNisco, Susan

2014-01-01

Understanding factors that influence spiritual well-being may improve nurses' spiritual caregiving. This study examined relationships between emotional intelligence (EI) and spiritual well-being (SWB) in undergraduate and graduate nursing students. Using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) and the spiritual well-being scale (SWBS) relationships were found between managing emotion and spiritual well-being, and managing emotion and existential well-being. Implications for education and practice are discussed.

[The relationship between cognitive intelligence, emotional intelligence, coping and stress symptoms in the context of type A personality pattern].

Science.gov (United States)

Hisli Sahin, Nesrin; Güler, Murat; Basim, H Nejat

2009-01-01

This study aimed to determine the relationships between cognitive and emotional intelligence, coping and stress symptoms in the context of Type A personality pattern. The Raven Progressive Matrices, Emotional Intelligence Questionnaire, Ways of Coping Inventory, Stress Symptoms Scale, and Type A Personality Scale were administered to 271 university students. Two groups, Type As and Type Bs were created according to the Type A Personality Scale scores and were compared in terms of their scores on the other scales that were administered. Our analyses showed that stress symptoms were negatively correlated with effective coping, stress management, and general mood dimensions of the Emotional Intelligence Questionnaire. They were also positively correlated with ineffective coping and Type A behaviors. Being female also significantly predicted stress symptoms. When the participants were grouped according to Type A Personality Scale scores as Type As and Type Bs, the regression analysis showed that the stress symptoms of Type As were significantly predicted by the insufficient use of effective coping styles and deficiencies in the general mood component of emotional intelligence, whereas the stress symptoms of Type Bs were predicted by the insufficient use of effective coping styles, overuse of ineffective coping styles, and increase in the intrapersonal abilities component of emotional intelligence. Stress symptoms can be related to the variables associated with personality styles. It is suggested that stress management programs for Type As should include exercises that increase emotional intelligence, especially the components of drawing pleasure from their life situation, being more positive, hopeful and optimistic.

Quantum Bayesian perspective for intelligence reservoir characterization, monitoring and management.

Science.gov (United States)

Lozada Aguilar, Miguel Ángel; Khrennikov, Andrei; Oleschko, Klaudia; de Jesús Correa, María

2017-11-13

The paper starts with a brief review of the literature about uncertainty in geological, geophysical and petrophysical data. In particular, we present the viewpoints of experts in geophysics on the application of Bayesian inference and subjective probability. Then we present arguments that the use of classical probability theory (CP) does not match completely the structure of geophysical data. We emphasize that such data are characterized by contextuality and non-Kolmogorovness (the impossibility to use the CP model), incompleteness as well as incompatibility of some geophysical measurements. These characteristics of geophysical data are similar to the characteristics of quantum physical data. Notwithstanding all this, contextuality can be seen as a major deviation of quantum theory from classical physics. In particular, the contextual probability viewpoint is the essence of the Växjö interpretation of quantum mechanics. We propose to use quantum probability (QP) for decision-making during the characterization, modelling, exploring and management of the intelligent hydrocarbon reservoir Quantum Bayesianism (QBism), one of the recently developed information interpretations of quantum theory, can be used as the interpretational basis for such QP decision-making in geology, geophysics and petroleum projects design and management.This article is part of the themed issue 'Second quantum revolution: foundational questions'. © 2017 The Author(s).

Quantum Bayesian perspective for intelligence reservoir characterization, monitoring and management

Science.gov (United States)

Lozada Aguilar, Miguel Ángel; Khrennikov, Andrei; Oleschko, Klaudia; de Jesús Correa, María

2017-10-01

The paper starts with a brief review of the literature about uncertainty in geological, geophysical and petrophysical data. In particular, we present the viewpoints of experts in geophysics on the application of Bayesian inference and subjective probability. Then we present arguments that the use of classical probability theory (CP) does not match completely the structure of geophysical data. We emphasize that such data are characterized by contextuality and non-Kolmogorovness (the impossibility to use the CP model), incompleteness as well as incompatibility of some geophysical measurements. These characteristics of geophysical data are similar to the characteristics of quantum physical data. Notwithstanding all this, contextuality can be seen as a major deviation of quantum theory from classical physics. In particular, the contextual probability viewpoint is the essence of the Växjö interpretation of quantum mechanics. We propose to use quantum probability (QP) for decision-making during the characterization, modelling, exploring and management of the intelligent hydrocarbon reservoir. Quantum Bayesianism (QBism), one of the recently developed information interpretations of quantum theory, can be used as the interpretational basis for such QP decision-making in geology, geophysics and petroleum projects design and management. This article is part of the themed issue `Second quantum revolution: foundational questions'.

Understanding the Relationship between School-Based Management, Emotional Intelligence and Performance of Religious Upper Secondary School Principals in Banten Province

Science.gov (United States)

Muslihah, Oleh Eneng

2015-01-01

The research examines the correlation between the understanding of school-based management, emotional intelligences and headmaster performance. Data was collected, using quantitative methods. The statistical analysis used was the Pearson Correlation, and multivariate regression analysis. The results of this research suggest firstly that there is…

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.

Components of a Business Intelligence software solution

OpenAIRE

Daniel BALACEANU

2007-01-01

Business intelligence (BI) is a business management term which refers to applications and technologies which are used to gather, provide access to, and analyze data and information about company operations. Business intelligence systems can help companies have a more comprehensive knowledge of the factors affecting their business, such as metrics on sales, production, internal operations, and they can help companies to make better business decisions.

Multiple Intelligences (MI of Associate in Hotel and Restaurant Management Students & Its Implication to the Teaching of Oral Communication

Directory of Open Access Journals (Sweden)

Juvy G. Mojares

2015-11-01

Full Text Available A number of educators argue that MI helps students build positive attitudes toward learning in English class. A study says that “Students who are using their areas of strength to learn feel more competent and confident and enjoy the challenge of acquiring new information”. This study sought to find out the MI of selected Associate in Hotel and Restaurant Management (AHRMstudents. It also delved on the implication of MI to the teaching of the subject. The research design used was basically a descriptive method employing an adopted MI survey form administered to Oral Communication students. There were five sections of second year AHRM students. Out of 196 students, 111 were selected to answer the survey questions by the use of the combination of stratified random sampling and the Slovin’s formula. Results showed that the top three intelligences the respondents have based on their scores are intrapersonal, followed by bodily/kinesthetic and logical/mathematical intelligences; least of the intelligences are verbal/linguistic and visual/spatial.This implied that teaching of Oral Communication should nurture the intrapersonal intelligence and more importantly should enhance and develop the verbal strength of the AHRM students. Teaching should focus more on improving communication skills with others, and not just within themselves.

Artificial intelligence based decision support for trumpeter swan management

Science.gov (United States)

Sojda, Richard S.

2002-01-01

The number of trumpeter swans (Cygnus buccinator) breeding in the Tri-State area where Montana, Idaho, and Wyoming come together has declined to just a few hundred pairs. However, these birds are part of the Rocky Mountain Population which additionally has over 3,500 birds breeding in Alberta, British Columbia, Northwest Territories, and Yukon Territory. To a large degree, these birds seem to have abandoned traditional migratory pathways in the flyway. Waterfowl managers have been interested in decision support tools that would help them explore simulated management scenarios in their quest towards reaching population recovery and the reestablishment of traditional migratory pathways. I have developed a decision support system to assist biologists with such management, especially related to wetland ecology. Decision support systems use a combination of models, analytical techniques, and information retrieval to help develop and evaluate appropriate alternatives. Swan management is a domain that is ecologically complex, and this complexity is compounded by spatial and temporal issues. As such, swan management is an inherently distributed problem. Therefore, the ecological context for modeling swan movements in response to management actions was built as a multiagent system of interacting intelligent agents that implements a queuing model representing swan migration. These agents accessed ecological knowledge about swans, their habitats, and flyway management principles from three independent expert systems. The agents were autonomous, had some sensory capability, and could respond to changing conditions. A key problem when developing ecological decision support systems is empirically determining that the recommendations provided are valid. Because Rocky Mountain trumpeter swans have been surveyed for a long period of time, I was able to compare simulated distributions provided by the system with actual field observations across 20 areas for the period 1988

Worldwide Threat Assessment of the US Intelligence Community

Science.gov (United States)

2014-01-29

the Industrial Control Systems (ICS) and Supervisory Control and Data Acquisition ( SCADA ) systems used in water management, oil and gas pipelines ...Statement for the Record Worldwide Threat Assessment of the US Intelligence Community Senate Select Committee on Intelligence...reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions

Business Intelligence Approach In A Business Performance Context

OpenAIRE

Muntean, Mihaela; Cabau, Liviu Gabriel

2011-01-01

Subordinated to performance management, Business Intelligence approaches help firms to optimize business performance. Key performance indicators will be added to the multidimensional model grounding the performance perspectives. With respect to the Business Intelligence value chain, a theoretical approach was introduced and a practice example, based on Microsoft SQL Server specific services, for the customer perspective was implemented.

The U.S. Intelligence Community: Dilemmas of Management and Law.

Science.gov (United States)

1980-06-01

attempting change at the margin must be a " cost" which the Intelligence C- munity will have to bear as it goes about the critically important business ...laws. But as this paper is completed in the Spring of 1980, few required laws affecting the business of intelligence most notably laws relating to...In attempting to examine the multitude of organizational and legal issues surrounding the nation’s ability to continue to obtain and use inteligence

Improving the All-Hazards Homeland Security Enterprise Through the Use of an Emergency Management Intelligence Model

Science.gov (United States)

2013-09-01

OSINT Open Source Intelligence PPD Presidential Policy Directive SIGINT Signals Intelligence SLFC State/Local Fusion...Geospatial Intelligence (GEOINT) from Geographic Information Systems (GIS), and Open Source Intelligence ( OSINT ) from Social Media. GIS is widely...Central Intelligence Agency is the federal agency most often associated with HUMINT collection. • Open - Source Intelligence ( OSINT )– OSINT

Business Intelligence Issues for Sustainability Projects

Directory of Open Access Journals (Sweden)

Mihaela Muntean

2018-01-01

Full Text Available Business intelligence (BI is an umbrella term for strategies, technologies, and information systems used by the companies to extract from large and various data, according to the value chain, relevant knowledge to support a wide range of operational, tactical, and strategic business decisions. Sustainability, as an integrated part of the corporate business, implies the integration of the new approach at all levels: business model, performance management system, business intelligence project, and data model. Both business intelligence issues presented in this paper represent the contribution of the author in modeling data for supporting further BI approaches in corporate sustainability initiatives. Multi-dimensional modeling has been used to ground the proposals and to introduce the key performance indicators. The démarche is strengthened with implementation aspects and reporting examples. More than ever, in the Big Data era, bringing together business intelligence methods and tools with corporate sustainability is recommended.

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...

Application Of Artificial Intelligence To Wind Tunnels

Science.gov (United States)

Lo, Ching F.; Steinle, Frank W., Jr.

1989-01-01

Report discusses potential use of artificial-intelligence systems to manage wind-tunnel test facilities at Ames Research Center. One of goals of program to obtain experimental data of better quality and otherwise generally increase productivity of facilities. Another goal to increase efficiency and expertise of current personnel and to retain expertise of former personnel. Third goal to increase effectiveness of management through more efficient use of accumulated data. System used to improve schedules of operation and maintenance of tunnels and other equipment, assignment of personnel, distribution of electrical power, and analysis of costs and productivity. Several commercial artificial-intelligence computer programs discussed as possible candidates for use.

Modeling of biological intelligence for SCM system optimization.

Science.gov (United States)

Chen, Shengyong; Zheng, Yujun; Cattani, Carlo; Wang, Wanliang

2012-01-01

This article summarizes some methods from biological intelligence for modeling and optimization of supply chain management (SCM) systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods. An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy. Traditional methods for modeling and optimizing complex SCM systems require huge amounts of computing resources, and biological intelligence-based solutions can often provide valuable alternatives for efficiently solving problems. The paper summarizes the recent related methods for the design and optimization of SCM systems, which covers the most widely used genetic algorithms and other evolutionary algorithms.

Modeling of Biological Intelligence for SCM System Optimization

Directory of Open Access Journals (Sweden)

Shengyong Chen

2012-01-01

Full Text Available This article summarizes some methods from biological intelligence for modeling and optimization of supply chain management (SCM systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods. An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy. Traditional methods for modeling and optimizing complex SCM systems require huge amounts of computing resources, and biological intelligence-based solutions can often provide valuable alternatives for efficiently solving problems. The paper summarizes the recent related methods for the design and optimization of SCM systems, which covers the most widely used genetic algorithms and other evolutionary algorithms.

Modeling of Biological Intelligence for SCM System Optimization

Science.gov (United States)

Chen, Shengyong; Zheng, Yujun; Cattani, Carlo; Wang, Wanliang

2012-01-01

This article summarizes some methods from biological intelligence for modeling and optimization of supply chain management (SCM) systems, including genetic algorithms, evolutionary programming, differential evolution, swarm intelligence, artificial immune, and other biological intelligence related methods. An SCM system is adaptive, dynamic, open self-organizing, which is maintained by flows of information, materials, goods, funds, and energy. Traditional methods for modeling and optimizing complex SCM systems require huge amounts of computing resources, and biological intelligence-based solutions can often provide valuable alternatives for efficiently solving problems. The paper summarizes the recent related methods for the design and optimization of SCM systems, which covers the most widely used genetic algorithms and other evolutionary algorithms. PMID:22162724

The big data processing platform for intelligent agriculture

Science.gov (United States)

Huang, Jintao; Zhang, Lichen

2017-08-01

Big data technology is another popular technology after the Internet of Things and cloud computing. Big data is widely used in many fields such as social platform, e-commerce, and financial analysis and so on. Intelligent agriculture in the course of the operation will produce large amounts of data of complex structure, fully mining the value of these data for the development of agriculture will be very meaningful. This paper proposes an intelligent data processing platform based on Storm and Cassandra to realize the storage and management of big data of intelligent agriculture.

How healthcare leaders can increase emotional intelligence.

Science.gov (United States)

Scott, Jason

2013-01-01

How leaders deal with a variety of feelings will deduce how successful they are in dealing with the daily challenges of being in a leadership position. Successful healthcare leaders are those who lead with heart and possess the soft skills needed to positively influence others. All humans have two minds: the rational one and the emotional one, which operate in tight harmony to assist in decision making. When passions surge, the emotional mind takes over and sometimes makes a decision before the rational mind has time to react. Some strategies to help leaders strengthen emotional intelligence include keeping an emotional journal, daily meditation, positive visualization, appreciative inquiry, thought before action, and empathetic listening. Four skills that will enhance an individual's emotional intelligence include self awareness, self management, social management, and relationship management.

Ability-versus skill-based assessment of emotional intelligence.

Science.gov (United States)

Bradberry, Travis R; Su, Lac D

2006-01-01

Emotional intelligence has received an intense amount of attention in leadership circles during the last decade and continuing debate exists concerning the best method for measuring this construct. This study analyzed leader emotional intelligence scores, measured via skill and ability methodologies, against leader job performance. Two hundred twelve employees from three organizations participated in this study. Scores on the Emotional Intelligence Appraisal, a skill-based assessment, were positively, though not significantly, correlated with scores on the MSCEIT, an ability-based assessment of emotional intelligence. Scores on the MSCEIT did not have a significant relationship with job performance in this study, whereas, scores on the Emotional Intelligence Appraisal had a strong link to leader job performance. The four subcomponents of the Emotional Intelligence Appraisal were examined against job performance. Relationship management was a stronger predictor of leader job performance than the other three subcomponents. Social awareness was the single emotional intelligence skill that did not have a significant link to leader job performance. Factor analyses yielded a two-component model of emotional intelligence encompassing personal and social competence, rather than confirmation of a four-part taxonomy.

Using Emotional Intelligence in Personalized Adaptation

NARCIS (Netherlands)

Damjanovic, Violeta; Kravcik, Milos

2008-01-01

Damjanovic, V. & Kravcik, M. (2007). Using Emotional Intelligence in Personalized Adaptation. In M. D. Lytras & A. Naeve (Eds.), Ubiquitous and Pervasive Knowledge and Learning Management (pp. 158-197). IGI Publishing.

Emotional Intelligence (EI): A Therapy for Higher Education Students

Science.gov (United States)

Machera, Robert P.; Machera, Precious C.

2017-01-01

This study investigates the need to design and develop emotional intelligence curriculum for students in higher education. Emotional intelligence curriculum may be used as a therapy that provides skills to manage high emotions faced by generation "Y", on a day-to-day basis. Generation "Y" is emotionally challenged with: drug…

Interdisciplinary teamwork: is the influence of emotional intelligence fully appreciated?

Science.gov (United States)

McCallin, Antoinette; Bamford, Anita

2007-05-01

The purpose of this study is to discuss how emotional intelligence affects interdisciplinary team effectiveness. Some findings from a larger study on interdisciplinary teamworking are discussed. Teams are often evaluated for complementary skill mix and expertise that are integrated for specialist service delivery. Interactional skills and emotional intelligence also affect team behaviour and performance. An effective team needs both emotional intelligence and expertise, including technical, clinical, social and interactional skills, so that teamwork becomes greater or lesser than the whole, depending on how well individuals work together. Team diversity, individuality and personality differences, and interprofessional safety are analysed to raise awareness for nurse managers of the complexity of interdisciplinary working relationships. If nursing input into interdisciplinary work is to be maximized, nurse managers might consider the role of emotional intelligence in influencing team effectiveness, the quality of client care, staff retention and job satisfaction.

DataCare: Big Data Analytics Solution for Intelligent Healthcare Management

Directory of Open Access Journals (Sweden)

Alejandro Baldominos Gómez

2018-03-01

Full Text Available This paper presents DataCare, a solution for intelligent healthcare management. This product is able not only to retrieve and aggregate data from different key performance indicators in healthcare centers, but also to estimate future values for these key performance indicators and, as a result, fire early alerts when undesirable values are about to occur or provide recommendations to improve the quality of service. DataCare’s core processes are built over a free and open-source cross-platform document-oriented database (MongoDB, and Apache Spark, an open-source cluster-computing framework. This architecture ensures high scalability capable of processing very high data volumes coming at fast speed from a large set of sources. This article describes the architecture designed for this project and the results obtained after conducting a pilot in a healthcare center. Useful conclusions have been drawn regarding how key performance indicators change based on different situations, and how they affect patients’ satisfaction.

An intelligent partner system for improving chronic illness care

Directory of Open Access Journals (Sweden)

Tibor Deutsch

2003-02-01

Full Text Available Chronic care consists of a sequence of actions to treat a specific clinical disorder over time as a function of the ways in which illness progresses and patients respond to management actions. Outcomes depend on physicians' skills to select the actions best suited for their patients and competent self-management. This paper presents the architecture of an intelligent partner system (IPS, which helps to provide doctors with relevant data and skills and empowers chronically ill patients with the information and confidence to manage their health wisely. The services of this intelligent system are presented as 'therapies' for the information-processing 'pathologies' associated with traditional chronic illness care.

The process of implementing Competitive Intelligence in a company

OpenAIRE

František Bartes

2013-01-01

It is a common occurrence in business practice that the management of a company, in an effort to jump-start the function of the Competitive Intelligence unit, makes a number of mistakes and errors. Yet it is not difficult to avoid these missteps and achieve the desired level of Competitive Intelligence activities in a purposeful and effective manner. The author believes that a resolution of this problem lies in his concept of Competitive Intelligence viewed as a system application discipline ...

Study of intelligent building system based on the internet of things

Science.gov (United States)

Wan, Liyong; Xu, Renbo

2017-03-01

In accordance with the problem such as isolated subsystems, weak system linkage and expansibility of the bus type buildings management system, this paper based on the modern intelligent buildings has studied some related technologies of the intelligent buildings and internet of things, and designed system architecture of the intelligent buildings based on the Internet of Things. Meanwhile, this paper has also analyzed wireless networking modes, wireless communication protocol and wireless routing protocol of the intelligent buildings based on the Internet of Things.

Improving societal acceptance of rad waste management policy decisions: an approach based on complex intelligence

International Nuclear Information System (INIS)

Rao, Suman

2008-01-01

In today's context elaborate public participation exercises are conducted around the world to elicit and incorporate societal risk perceptions into nuclear policy Decision-Making. However, on many occasions, such as in the case of rad waste management, the society remains unconvinced about these decisions. This naturally leads to the questions: are techniques for incorporating societal risk perceptions into the rad waste policy decision making processes sufficiently mature? How could societal risk perceptions and legal normative principles be better integrated in order to render the decisions more equitable and convincing to society? Based on guidance from socio-psychological research this paper postulates that a critical factor for gaining/improving societal acceptance is the quality and adequacy of criteria for option evaluation that are used in the policy decision making. After surveying three rad waste public participation cases, the paper identifies key lacunae in criteria abstraction processes as currently practiced. A new policy decision support model CIRDA: Complex Intelligent Risk Discourse Abstraction model that is based on the heuristic of Risk-Risk Analysis is proposed to overcome these lacunae. CIRDA's functionality of rad waste policy decision making is modelled as a policy decision-making Abstract Intelligent Agent and the agent program/abstraction mappings are presented. CIRDA is then applied to a live (U.K.) rad waste management case and the advantages of this method as compared to the Value Tree Method as practiced in the GB case are demonstrated. (author)

Soft computing for business intelligence

CERN Document Server

Pérez, Rafael; Cobo, Angel; Marx, Jorge; Valdés, Ariel

2014-01-01

The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg. It contains twenty-seven papers allocated to three sections: Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle “Observation and Analysis” while keeping a practical oriented theoretical eye on sound methodologies, like Fuzzy Logic, Compensatory Fuzzy Logic (CFL), Rough Sets and other softcomputing elements. The book tears down the traditional focus on business, and extends Business Intelligence techniques in an impressive way to a broad range of fields like medicine, environment, wind farming, social collaboration and interaction, car sharing and sustainability.

When nurse emotional intelligence matters: How transformational leadership influences intent to stay.

Science.gov (United States)

Wang, Lin; Tao, Hong; Bowers, Barbara J; Brown, Roger; Zhang, Yaqing

2018-05-01

The purpose of this study was to examine the role of staff nurse emotional intelligence between transformational leadership and nurse intent to stay. Nurse intent to stay and transformational leadership are widely recognized as vital components of nurse retention. Staff nurse emotional intelligence that has been confirmed improvable has been recently recognized in the nursing literature as correlated with retention. Yet, the nature of the relationships among these three variables is not known. Cross-sectional data for 535 Chinese nurses were analysed using Structural Equation Modelling. Transformational leadership and staff nurse emotional intelligence were significant predictors of nurse intent to stay, accounting for 34.3% of the variance in nurse intent to stay. Staff nurse emotional intelligence partially mediates the relationship between transformational leadership and nurse intent to stay. The findings of the study emphasized the importance of transformational leadership in enhancing nurse emotional intelligence and to provide a deeper understanding of the mediating role of emotional intelligence in the relationship between nurse manager's transformational leadership and nurse's intent to stay. Nurse leaders should develop training programmes to improve nursing manager transformational leadership and staff nurse emotional intelligence in the workplace. © 2018 John Wiley & Sons Ltd.

[Artificial intelligence in medicine: project of a mobile platform in an intelligent environment for the care of disabled and elderly people].

Science.gov (United States)

Cortés, Ulises; Annicchiarico, Roberta; Campana, Fabio; Vázquez-Salceda, Javier; Urdiales, Cristina; Canãmero, Lola; López, Maite; Sánchez-Marrè, Miquel; Di Vincenzo, Sarah; Caltagirone, Carlo

2004-04-01

A project based on the integration of new technologies and artificial intelligence to develop a device--e-tool--for disabled patients and elderly people is presented. A mobile platform in intelligent environments (skilled-care facilities and home-care), controlled and managed by a multi-level architecture, is proposed to support patients and caregivers to increase self-dependency in activities of daily living.

Intelligent Transport Systems in the Management of Road Transportation

Science.gov (United States)

Kalupová, Blanka; Hlavoň, Ivan

2016-11-01

Extension of European Union causes increase of free transfer of people and goods. At the same time they raised the problems associated with the transport, e.g. congestion and related accidents on roads, air traffic delays and more. To increase the efficiency and safety of transport, the European Commission supports the introduction of intelligent transport systems and services in all transport sectors. Implementation of intelligent transport systems and services in the road transport reduces accident frequency, increases the capacity of existing infrastructure and reduces congestions. Use of toll systems provides resources needed for the construction and operation of a new road network, improves public transport, cycling transport and walking transport, and also their multimodal integration with individual car transport.

Sex differences in fluid and crystalized intelligence focus on people with psychosis

OpenAIRE

Ćosović Vojislav; Todorović Nevena; Andrić-Petrović Sanja; Marić Nadja P.

2016-01-01

Introduction: Fluid intelligence is described as ability to rapidly solve novel problems and capacity to manage and easily adapt to new situations. Crystallized intelligence reflects ability to timely use lifetime-learned information and skills. Bearing in mind that intelligence is one of the impaired cognitive functions in psychosis, a question arises there are if any sex differences in patients, regarding total IQ, fluid or crystallized intelligence. Aim: To evaluate sex differences in psyc...

Development of Intelligent Database Program for PSI/ISI Data Management of Nuclear Power Plant

International Nuclear Information System (INIS)

Park, Un Su; Park, Ik Keun; Um, Byong Guk; Park, Yun Won; Kang, Suk Chul

1998-01-01

For an effective and efficient management of large amounts of preservice/inservice inspection(PSI/ISI) data in nuclear power plants, an intelligent Windows 95-based data management program was developed. This program enables the prompt extraction of previously conducted PSI/ISI conditions and results so that the time-consuming data management, painstaking data processing and analysis in the past are avoided. The program extracts, and the associated remedies. Furthermore, additional inspection data and comments can be easily added or deleted for subsequent PSI/ISI operation. Although the initial version of the program was applied to Kori nuclear power plant, this program can be equally applied to other nuclear power plant. And also this program can be used to offer the fundamental data for application of evaluation data related to fracture mechanics analysis(FMA), probabilistic reliability assessment(PRA) of PSI/ISI results, performance demonstration initiative(PDI) and risk-informed ISI based on probability of detection(POD) information of ultrasonic examination. Besides, the program can be further developed as a unique PSI/ISI data management expert system that can be apart of PSI/ISI data management expert system that can be a part of PSI/ISI Total Support System(TSS) for Korean nuclear power plants

The 1990 Goddard Conference on Space Applications of Artificial Intelligence

Science.gov (United States)

Rash, James L. (Editor)

1990-01-01

The papers presented at the 1990 Goddard Conference on Space Applications of Artificial Intelligence are given. The purpose of this annual conference is to provide a forum in which current research and development directed at space applications of artificial intelligence can be presented and discussed. The proceedings fall into the following areas: Planning and Scheduling, Fault Monitoring/Diagnosis, Image Processing and Machine Vision, Robotics/Intelligent Control, Development Methodologies, Information Management, and Knowledge Acquisition.

Risk intelligence: How lessons from folktales/fables contribute to the implementation of risk management in banks

Directory of Open Access Journals (Sweden)

Sivave Mashingaidze

2015-10-01

Full Text Available The objective of this article is to outline credit risk in banks and how fables/folktales can provide with life lessons to implement risk management systems that should act as a stop-gate measure. Banking institutions need to show how proactively managing risk becomes a cornerstone to explore opportunities, rather than simply avoiding dynamites. Risk Intelligence gives companies the confidence to harness risk to explore new opportunities. Lessons were provided from folktales/fables from the animal kingdom. The article adopted a literature review methodology and the results were that, for a business to be successful the medicine does not lie in the policies but the therapy lies in the spirit of oneness in the banks from top management down to the shop floor employee in the branch. By working together the banks can afford to curb credit risks.

Use of artificial intelligence in nuclear power plants

International Nuclear Information System (INIS)

Uhrig, R.E.

1990-01-01

The application of artificial intelligence, in the form of expert systems and neural networks, to the control room activities in a nuclear power plant has the potential to reduce operator error and increase plant safety, reliability, and efficiency. Furthermore, there are a large number of non-operating activities (testing, routine maintenance, outage planning, equipment diagnostics, and fuel management) in which artificial intelligence can increase the efficiency and effectiveness of overall plant and corporate operations. This paper reviews the state-of-the-art of artificial intelligence techniques, specifically, expert systems and neural networks, to nuclear power plants. This paper has reviewed the state-of-the-art of artificial intelligence, specifically expert systems and neural networks that are applied to problems in nuclear power plants

A Survey of Intelligent Car Parking System

OpenAIRE

Faheem; S.A. Mahmud; G.M. Khan; M. Rahman; H. Zafar

2013-01-01

The industrialization of the world, increase in population, slow paced city development and mismanagement of the available parking space has resulted in parking related problems. There is a dire need for a secure, intelligent, efficient and reliable system which can be used for searching the unoccupied parking facility, guidance towards the parking facility, negotiation of the parking fee, along with the proper management of the parking facility. Intelligent Parking Service is a part of Intel...

Interactive analysis of geodata based intelligence

Science.gov (United States)

Wagner, Boris; Eck, Ralf; Unmüessig, Gabriel; Peinsipp-Byma, Elisabeth

2016-05-01

When a spatiotemporal events happens, multi-source intelligence data is gathered to understand the problem, and strategies for solving the problem are investigated. The difficulties arising from handling spatial and temporal intelligence data represent the main problem. The map might be the bridge to visualize the data and to get the most understand model for all stakeholders. For the analysis of geodata based intelligence data, a software was developed as a working environment that combines geodata with optimized ergonomics. The interaction with the common operational picture (COP) is so essentially facilitated. The composition of the COP is based on geodata services, which are normalized by international standards of the Open Geospatial Consortium (OGC). The basic geodata are combined with intelligence data from images (IMINT) and humans (HUMINT), stored in a NATO Coalition Shared Data Server (CSD). These intelligence data can be combined with further information sources, i.e., live sensors. As a result a COP is generated and an interaction suitable for the specific workspace is added. This allows the users to work interactively with the COP, i.e., searching with an on board CSD client for suitable intelligence data and integrate them into the COP. Furthermore, users can enrich the scenario with findings out of the data of interactive live sensors and add data from other sources. This allows intelligence services to contribute effectively to the process by what military and disaster management are organized.

Leveraging business intelligence to make better decisions: Part I.

Science.gov (United States)

Reimers, Mona

2014-01-01

Data is the new currency. Business intelligence tools will provide better performing practices with a competitive intelligence advantage that will separate the high performers from the rest of the pack. Given the investments of time and money into our data systems, practice leaders must work to take every advantage and look at the datasets as a potential goldmine of business intelligence decision tools. A fresh look at decision tools created from practice data will create efficiencies and improve effectiveness for end-users and managers.

Issues in Intelligence Production: Summary of Interviews with Canadian Managers of Intelligence Analysts

Science.gov (United States)

2010-12-01

range of activities. Treverton and Gabbard (2008) described a pyramid of analytic tasks, which includes five levels of processing information from...Herman 1996, Johnston 2005, Treverton and Gabbard 2008). Stages in the cycle (e.g., collection and analysis) might overlap rather than being...clearly distinguished as implied by the model (Treverton and Gabbard 2008). Adjustments to the sequence and contents of stages in the intelligence cycle

The Role of Intelligence Quotient and Emotional Intelligence in Cognitive Control Processes

Science.gov (United States)

Checa, Purificación; Fernández-Berrocal, Pablo

2015-01-01

The relationship between intelligence quotient (IQ) and cognitive control processes has been extensively established. Several studies have shown that IQ correlates with cognitive control abilities, such as interference suppression, as measured with experimental tasks like the Stroop and Flanker tasks. By contrast, there is a debate about the role of Emotional Intelligence (EI) in individuals' cognitive control abilities. The aim of this study is to examine the relation between IQ and EI, and cognitive control abilities evaluated by a typical laboratory control cognitive task, the Stroop task. Results show a negative correlation between IQ and the interference suppression index, the ability to inhibit processing of irrelevant information. However, the Managing Emotions dimension of EI measured by the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT), but not self-reported of EI, negatively correlates with the impulsivity index, the premature execution of the response. These results suggest that not only is IQ crucial, but also competences related to EI are essential to human cognitive control processes. Limitations and implications of these results are also discussed. PMID:26648901

The role of Intelligence Quotient and Emotional Intelligence in cognitive control processes

Directory of Open Access Journals (Sweden)

Purificación eCheca

2015-12-01

Full Text Available The relationship between intelligence quotient (IQ and cognitive control processes has been extensively established. Several studies have shown that IQ correlates with cognitive control abilities, such as interference suppression, as measured with experimental tasks like the Stroop and Flanker tasks. By contrast, there is a debate about the role of Emotional Intelligence (EI in individuals’ cognitive control abilities. The aim of this study is to examine the relation between IQ and EI, and cognitive control abilities evaluated by a typical laboratory control cognitive task, the Stroop task. Results show a negative correlation between IQ and the interference suppression index, the ability to inhibit processing of irrelevant information. However, the Managing Emotions dimension of EI measured by the Mayer-Salovey-Caruso Emotional Intelligence Test, but not self-reported of EI, negatively correlates with the impulsivity index, the premature execution of the response. These results suggest that not only is IQ crucial, but also competences related to EI are essential to human cognitive control processes. Limitations and implications of these results are also discussed

Comparative Analysis of the Main Business Intelligence Solutions

OpenAIRE

Alexandra RUSANEANU

2013-01-01

Nowadays, Business Intelligence solutions are the main tools for analyzing and monitoring the company’s performance at any organizational level. This paper presents a comparative analysis of the most powerful Business Intelligence solutions using a set of technical features such as infrastructure of the platform, development facilities, complex analysis tools, interactive dashboards and scorecards, mobile integration and complex implementation of performance management methodologies.

Role of emotional intelligence in managerial effectiveness: An empirical study

Directory of Open Access Journals (Sweden)

Md. Sahidur Rahman

2016-03-01

Full Text Available Emotional intelligence is very critical to the managerial effectiveness. The present study intends to explore the relationships between emotional intelligence and the three roles such as, interpersonal, informational, and decision of managerial effectiveness. Emotional intelligence is measured by using the Emotional Quotient Index (Rahim et al., 2002 [Rahim, M., Psenicka, C., Polychroniou, P., Zhao, J., Yu, C., Chan, K., Susana, K., Alves, M., Lee, C., Rahman, M.S., Ferdausy, S., & Wyk, R. (2002. A model of emotional intelligence and conflict management strategies: a study in seven countries. International Journal of Organizational Analysis, 10(4, 302-326.] while managerial effectiveness is assessed by using Tsui’s (1984 scale [Tsui, A.S. (1984. A role set analysis of managerial reputation. Organizational Behavior and Human Performance, 34, 64-96.]. Data were collected by distributing self-administered questionnaires among the working MBA students using a convenience sampling technique. Respondents are asked to rate their emotional intelligence and managerial effectiveness scales. Finally 127 usable responses are received and, then, analyzed by using the descriptive statistics, bivariate correlation, and regression analysis. Analysis shows that emotional intelligence was positively related with interpersonal role, informational role, and decision role. The main implication is that emotional intelligence could enhance managerial effectiveness guiding the managers, academics, and professionals. The limitations are the sample size and the sampling technique which might limit the generalizability of the findings. Future directions are also discussed.

Intelligent Performance Analysis with a Natural Language Interface

Science.gov (United States)

Juuso, Esko K.

2017-09-01

Performance improvement is taken as the primary goal in the asset management. Advanced data analysis is needed to efficiently integrate condition monitoring data into the operation and maintenance. Intelligent stress and condition indices have been developed for control and condition monitoring by combining generalized norms with efficient nonlinear scaling. These nonlinear scaling methodologies can also be used to handle performance measures used for management since management oriented indicators can be presented in the same scale as intelligent condition and stress indices. Performance indicators are responses of the process, machine or system to the stress contributions analyzed from process and condition monitoring data. Scaled values are directly used in intelligent temporal analysis to calculate fluctuations and trends. All these methodologies can be used in prognostics and fatigue prediction. The meanings of the variables are beneficial in extracting expert knowledge and representing information in natural language. The idea of dividing the problems into the variable specific meanings and the directions of interactions provides various improvements for performance monitoring and decision making. The integrated temporal analysis and uncertainty processing facilitates the efficient use of domain expertise. Measurements can be monitored with generalized statistical process control (GSPC) based on the same scaling functions.

Artificial intelligence in medicine.

Science.gov (United States)

Hamet, Pavel; Tremblay, Johanne

2017-04-01

Artificial Intelligence (AI) is a general term that implies the use of a computer to model intelligent behavior with minimal human intervention. AI is generally accepted as having started with the invention of robots. The term derives from the Czech word robota, meaning biosynthetic machines used as forced labor. In this field, Leonardo Da Vinci's lasting heritage is today's burgeoning use of robotic-assisted surgery, named after him, for complex urologic and gynecologic procedures. Da Vinci's sketchbooks of robots helped set the stage for this innovation. AI, described as the science and engineering of making intelligent machines, was officially born in 1956. The term is applicable to a broad range of items in medicine such as robotics, medical diagnosis, medical statistics, and human biology-up to and including today's "omics". AI in medicine, which is the focus of this review, has two main branches: virtual and physical. The virtual branch includes informatics approaches from deep learning information management to control of health management systems, including electronic health records, and active guidance of physicians in their treatment decisions. The physical branch is best represented by robots used to assist the elderly patient or the attending surgeon. Also embodied in this branch are targeted nanorobots, a unique new drug delivery system. The societal and ethical complexities of these applications require further reflection, proof of their medical utility, economic value, and development of interdisciplinary strategies for their wider application. Copyright © 2017. Published by Elsevier Inc.

Intelligent Lane Reservation System for Highway(s)

OpenAIRE

Dobre, Ciprian

2012-01-01

Highways tend to get congested because of the increase in the number of cars travelling on them. There are two solutions to this. The first one, which is also expensive, consists in building new highways to support the traffic. A much cheaper alternative consists in the introduction of advanced intelligent traffic control systems to manage traffic and increase the efficiency of the already existing highways. Intelligent lane reservation system for highways (ILRSH) is such a software control s...

Intelligent Network in the Republic of Croatia

Directory of Open Access Journals (Sweden)

Slavko Šarić

2012-10-01

Full Text Available The introduction of intelligence into the telecommunicationnetwork of Croatia is becoming one of the key elements ofthe future development of the network. The paper describes there-organisation of the telecommunication network in Croatia,the process of creating and managing the intelligent services,the initial situation and the feasible plan of introducing the INconcepts. The paper is concluded with a list of IN services thatare being introduced in the initial phase of the Croatian telecommunicationnetwork.

A New Dimension of Business Intelligence: Location-based Intelligence

OpenAIRE

Zeljko Panian

2012-01-01

Through the course of this paper we define Locationbased Intelligence (LBI) which is outgrowing from process of amalgamation of geolocation and Business Intelligence. Amalgamating geolocation with traditional Business Intelligence (BI) results in a new dimension of BI named Location-based Intelligence. LBI is defined as leveraging unified location information for business intelligence. Collectively, enterprises can transform location data into business intelligence applic...

Servant Leadership, Emotional Intelligence: Essential for Baccalaureate Nursing Students.

Science.gov (United States)

Anderson, Della

2016-08-01

Baker University Bachelor of Science in Nursing students study servant leadership and emotional intelligence in a Leadership and Management in Professional Nursing course. The acquisition of these skills increases collaboration with clients and colleagues. Servant leadership improves care through encouragement and facilitation rather than power (Waterman, 2011). Emotional intelligence allows individuals to deal effectively with emotions and is associated with better health (Por, Barriball, Fitzpatrick, & Roberts, 2011). Knowledge of servant leadership, combined with emotional intelligence, creates a relationship with self; encourages relationships with others, clients, and providers; allows teamwork participation; and impacts the entire community.

Trade Intelligence and Contemporary Exports Strategy

Directory of Open Access Journals (Sweden)

M. Tayfun Gülle

2013-11-01

Full Text Available The book mainly focuses on the divergences in the competitive environment resulting from the entrance of information and communications technologies into commercial life. Denoting that these divergences are rooted, above all, in the differences among countries in historical, social and geographic terms, the book claims that the increased use of trade information combined with these divergences will facilitate obtaining results in trade and that the synergy to emerge will pave the way for trade intelligence. The book also underlines that such trade intelligence, which is actually the natural commercial manner of Turkish entrepreneurs, could be accepted as the Turkish Style in international trade, with the rational management of the export process, and that this would ferment the national competition intelligence, as the strategy of contemporary exports.

Development of intelligent supervisory control system

International Nuclear Information System (INIS)

Takizawa, Y.; Fukumoto, A.; Makino, M.; Takiguchi, S.

1994-01-01

The objective of the development of an intelligent supervisory control system for next generation plants is enhancement of the operational reliability by applying the recent outcome of artificial intelligence and computer technologies. This system consists of the supervisory control and monitoring for automatic operation, the equipment operation support for historical data management and for test scheduling, the operators' decision making support for accidental plant situations and the human-friendly interface of these support functions. The verification test results showed the validity of the functions realized by this system for the next generation control room. (author)

The relationship between leadership behaviour, outcomes of leadership and emotional intelligence

Directory of Open Access Journals (Sweden)

C Coetzee

2005-10-01

Full Text Available The aim of the study was to explore relationship between leadership behaviour, the outcomes of leadership and the emotional intelligence of managers. The “Multifactor Emotional Intelligence Scale�? and the "Multifactor Leadership Questionnaire" were applied to a convenience sample of 100 managers working for various companies in South Africa. The study yielded significant correlations between managers’ level of emotional intelligence, leadership behaviour and the outcomes of leadership. Opsomming Die doel van die studie was om die verband tussen die leierskapsgedrag, uitkoms van leierskap en die emosionele intelligensie van bestuurders te ondersoek. Die “Multifactor Emotional Intelligence Scale�? en die “Multifactor Leadership Questionnaire�? is op ’n gerieflikheidsteekproef van 100 bestuurders wat in verskeie organisasies in Suid-Afrika werksaam is, toegepas. Die resultate dui op ’n beduidende korrelasie tussen die vlak van emosionele intelligensie, leierskapsgedrag en die uitkoms van leierskap van bestuurders.

A Risk Radar driven by Internet of intelligences serving for emergency management in community.

Science.gov (United States)

Huang, Chongfu; Wu, Tong; Renn, Ortwin

2016-07-01

Today, most of the commercial risk radars only have the function to show risks, as same as a set of risk matrixes. In this paper, we develop the Internet of intelligences (IOI) to drive a risk radar monitoring dynamic risks for emergency management in community. An IOI scans risks in a community by 4 stages: collecting information and experience about risks; evaluating risk incidents; verifying; and showing risks. Employing the information diffusion method, we optimized to deal with the effective information for calculating risk value. Also, a specific case demonstrates the reliability and practicability of risk radar. Copyright © 2016 Elsevier Inc. All rights reserved.

The process of implementing Competitive Intelligence in a company

Directory of Open Access Journals (Sweden)

František Bartes

2013-01-01

Full Text Available It is a common occurrence in business practice that the management of a company, in an effort to jump-start the function of the Competitive Intelligence unit, makes a number of mistakes and errors. Yet it is not difficult to avoid these missteps and achieve the desired level of Competitive Intelligence activities in a purposeful and effective manner. The author believes that a resolution of this problem lies in his concept of Competitive Intelligence viewed as a system application discipline (like value analysis or value engineering, which is why he approaches the problem of actual implementation of Competitive Intelligence in a company by referring to standards ČSN EN 12 973 and ČSN EN 1325-2. The author then proposes his own procedure for implementing Competitive Intelligence in a company. He first describes the various ways of securing the Competitive Intelligence services. Depending on the manner of securing these services, it is necessary to choose the actual method of bringing Competitive Intelligence into the company. The author goes on to lists the essentials that every program of Competitive Intelligence implementation should have. The process of Competitive Intelligence implementation unfolds in three stages, those being: 1. Managerial preparation for the introduction of Competitive Intelligence. 2. Personnel-oriented and professional preparation for applying Competitive Intelligence. 3. Organizational preparation for the implementation and practice of Competitive Intelligence. In Discussion, the author points out the most common mistakes he encountered in practice when implementing the Competitive Intelligence function.

Spiritual Intelligence, Emotional Intelligence and Auditor’s Performance

OpenAIRE

Hanafi, Rustam

2010-01-01

The objective of this research was to investigate empirical evidence about influence audi-tor spiritual intelligence on the performance with emotional intelligence as a mediator variable. Linear regression models are developed to examine the hypothesis and path analysis. The de-pendent variable of each model is auditor performance, whereas the independent variable of model 1 is spiritual intelligence, of model 2 are emotional intelligence and spiritual intelligence. The parameters were estima...

Emotional intelligence in incarcerated men with psychopathic traits

OpenAIRE

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 ...

Artificial intelligence applications in information and communication technologies

CERN Document Server

Bouguila, Nizar

2015-01-01

This book presents various recent applications of Artificial Intelligence in Information and Communication Technologies such as Search and Optimization methods, Machine Learning, Data Representation and Ontologies, and Multi-agent Systems. The main aim of this book is to help Information and Communication Technologies (ICT) practitioners in managing efficiently their platforms using AI tools and methods and to provide them with sufficient Artificial Intelligence background to deal with real-life problems.  .

Introducing Spoken Dialogue Systems into Intelligent Environments

CERN Document Server

Heinroth, Tobias

2013-01-01

Introducing Spoken Dialogue Systems into Intelligent Environments outlines the formalisms of a novel knowledge-driven framework for spoken dialogue management and presents the implementation of a model-based Adaptive Spoken Dialogue Manager(ASDM) called OwlSpeak. The authors have identified three stakeholders that potentially influence the behavior of the ASDM: the user, the SDS, and a complex Intelligent Environment (IE) consisting of various devices, services, and task descriptions. The theoretical foundation of a working ontology-based spoken dialogue description framework, the prototype implementation of the ASDM, and the evaluation activities that are presented as part of this book contribute to the ongoing spoken dialogue research by establishing the fertile ground of model-based adaptive spoken dialogue management. This monograph is ideal for advanced undergraduate students, PhD students, and postdocs as well as academic and industrial researchers and developers in speech and multimodal interactive ...

THE STUDY OF RELATIONSHIP BETWEEN SOCIAL INTELLIGENCE AND ORGANIZATIONAL PERFORMANCE (CASE STUDY: ARDABIL REGIONAL WATER COMPANY'S MANAGERS

Directory of Open Access Journals (Sweden)

Habib Ebrahimpoor‎

2013-06-01

Full Text Available The aim of this study was to investigate the relationships among dimensions of social intelligence, social skills, social information processing, social awareness, social desirability of organizational performance. Methods: This research was a descriptive study. The population in this study comprised all experts, assistants and managers of regional water companies in Ardabil province, and was about 164 randomly selected people. And to gather data from field methods the means of questionnaires were used. Tromso questionnaire was chosen and designed to measure social intelligence and organizational performance by assessing specific questions about Balanced Scorecard as independent variable. To achieve the multiplier effect of each variable on the dependent variable, Pearson correlation test was performed. Results indicated that social skills, social information processing, social awareness and social desirability of improving organizational performance had the most important part in social information processing, and social awareness and social skills played a secondary role in improving performance.

Developing Intelligent System Dynamic Management Instruments on Water-Food-Energy Nexus in Response to Urbanization

Science.gov (United States)

Tsai, W. P.; Chang, F. J.; Lur, H. S.; Fan, C. H.; Hu, M. C.; Huang, T. L.

2016-12-01

Water, food and energy are the most essential natural resources needed to sustain life. Water-Food-Energy Nexus (WFE Nexus) has nowadays caught global attention upon natural resources scarcity and their interdependency. In the past decades, Taiwan's integrative development has undergone drastic changes due to population growth, urbanization and excessive utilization of natural resources. The research intends to carry out interdisciplinary studies on WFE Nexus based on data collection and analysis as well as technology innovation, with a mission to develop a comprehensive solution to configure the synergistic utilization of WFE resources in an equal and secure manner for building intelligent dynamic green cities. This study aims to establish the WFE Nexus through interdisciplinary research. This study will probe the appropriate and secure resources distribution and coopetition relationship by applying and developing techniques of artificial intelligence, system dynamics, life cycle assessment, and synergy management under data mining, system analysis and scenario analysis. The issues of synergy effects, economic benefits and sustainable social development will be evaluated as well. First, we will apply the system dynamics to identify the interdependency indicators of WFE Nexus in response to urbanization and build the dynamic relationship among food production, irrigation water resource and energy consumption. Then, we conduct comparative studies of WFE Nexus between the urbanization and the un-urbanization area (basin) to provide a referential guide for optimal resource-policy nexus management. We expect to the proposed solutions can help achieve the main goals of the research, which is the promotion of human well-being and moving toward sustainable green economy and prosperous society.

Business Intelligence tools as an element of information supply system

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Agnieszka Szmelter

2013-12-01

Full Text Available This paper aims to present theBusiness Intelligence toolsas an element improvingflow of information withinthe management information systemand as atool to facilitate theachieving the objectives ofinformation supply system.In the firstpart of the paperthe author presents the issuesrelatedto the specific character of information as a kind of resource and functioning ofthe information supply systemin the enterprise. The secondpart of the articleincludethe characteristics ofBusiness Intelligence systems. The thirdpart deals withthe impact ofBusiness Intelligence toolsto the ongoingactivities ofinformation supply system.

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…

Business Intelligence Success Factors

DEFF Research Database (Denmark)

Gaardboe, Rikke; Jonasen, Tanja Svarre

2018-01-01

Business intelligence (BI) is a strategically important practice in many organizations. Several studies have investigated the factors that contribute to BI success; however, an overview of the critical success factors (CSFs) involved is lacking in the extant literature. We have integrated...... 34 CSFs related to BI success. The distinct CSFs identified in the extant literature relate to project management skills (13 papers), management support (20 papers), and user involvement (11 papers). In the articles with operationalized BI success, we found several distinct factors: system quality...

Middle manager role and contribution towards the competitive intelligence process: A case of Irish subsidiaries

Directory of Open Access Journals (Sweden)

Willie Chinyamurindi

2016-07-01

Full Text Available Background: Calls have been made especially during a period of global competition and economic austerity for research that focuses on how competitive intelligence (CI is actually generated within organisations. Objectives: The aim of this study was to understand the views and experiences of middle managers with regard to their role and contribution towards the CI process within Irish subsidiaries of the Multinational Corporation (MNC. Method: The study adopts a qualitative approach using the semi-structured interview technique to generate narratives and themes around how CI is generated using a sample of 15 middle managers drawn from five participating Irish subsidiaries. Results: Based on the analysis of the narratives of the middle managers, three main themes emerged as findings. Firstly, the process of gathering CI was facilitated by the reliance on internal and external tools. Secondly, information gathered from the use of such tools was then communicated by middle managers to top managers to inform the making of strategic decisions. Thus, (and thirdly, middle managers were found to occupy an important role not only through the execution of their management duties but by extending this influence towards the generation of information deemed to affect the competitive position of not just the subsidiary but also the parent company. Conclusion: The study concludes by focusing on the implications and recommendations based on the three themes drawn from the empirical data.

Emotional intelligence in professional nursing practice: A concept review using Rodgers's evolutionary analysis approach

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Angelina E. Raghubir

2018-04-01

Full Text Available Background: Knowledge around emotional intelligence originated in the 1990s from research regarding thoughts, emotions and abilities. The concept of emotional intelligence has evolved over the last 25 years; however, the understanding and use is still unclear. Despite this, emotional intelligence has been a widely-considered concept within professions such as business, management, education, and within the last 10 years has gained traction within nursing practice. Aims and objectives: The aim of this concept review is to clarify the understanding of the concept emotional intelligence, what attributes signify emotional intelligence, what are its antecedents, consequences, related terms and implications to advance nursing practice. Method: A computerized search was guided by Rodger's evolutional concept analysis. Data courses included: CINAHL, PyschINFO, Scopus, EMBASE and ProQuest, focusing on articles published in Canada and the United Stated during 1990–2017. Results: A total of 23 articles from various bodies of disciplines were included in this integrative concept review. The analysis reveals that there are many inconsistencies regarding the description of emotional intelligence, however, four common attributes were discovered: self-awareness, self-management, social awareness and social/relationship management. These attributes facilitate the emotional well-being among advance practice nurses and enhances the ability to practice in a way that will benefit patients, families, colleagues and advance practice nurses as working professionals and as individuals. Conclusion: The integration of emotional intelligence is supported within several disciplines as there is consensus on the impact that emotional intelligence has on job satisfaction, stress level, burnout and helps to facilitate a positive environment. Explicit to advance practice nursing, emotional intelligence is a concept that may be central to nursing practice as it has the

A study on relationship between cultural intelligence and cross-cultural adjustment in tour management

Directory of Open Access Journals (Sweden)

Mahdi Karroubi

2014-06-01

Full Text Available The purpose of the present study was to examine the effects of cultural intelligence (CQ and emotional intelligence (EI on a tour leader’s adjustment in a different cultural environment. Data were collected from 330 outgoing tour leaders in Tehran, Iran. The construct validity was confirmed by using confirmatory factor analysis. The data were analyzed using correlation analysis and path analysis to test the effect of CQ on cross-cultural adjustment, and the moderating effect of EI on the relationship between CQ and cross-cultural adjustment. The results showed that CQ had a positive effect on cross-cultural adjustment. In addition, we found that CQ had a positive effect on EI. The findings of the research showed that emotional intelligence in not significantly the mediator variable. Emotional intelligence has a positive and significant effect on cross-cultural adjustment. The findings of this study contribute to the body of knowledge in the field of CQ and cross-cultural research, and it provides practical implications for individuals seeking to improve their cross-cultural effectiveness, enhancing their cultural intelligence and emotional intelligence, specifically in tourism industry.

Artificial intelligence applications concepts for the remote sensing and earth science community

Science.gov (United States)

Campbell, W. J.; Roelofs, L. H.

1984-01-01

The following potential applications of AI to the study of earth science are described: (1) intelligent data management systems; (2) intelligent processing and understanding of spatial data; and (3) automated systems which perform tasks that currently require large amounts of time by scientists and engineers to complete. An example is provided of how an intelligent information system might operate to support an earth science project.

Is trait-emotional intelligence simply or more than just a trait?

NARCIS (Netherlands)

van der Zee, K; Wabeke, R

The present study examined the usefulness of trait-Emotional Intelligence (EI) among a sample of 1186 top managers who filled out questionnaires for Emotional Intelligence and the Big Five and were evaluated by a consultant on their competencies. Three higher-order factors were found to underlie the

Modeling of Agile Intelligent Manufacturing-oriented Production Scheduling System

Institute of Scientific and Technical Information of China (English)

Zhong-Qi Sheng; Chang-Ping Tang; Ci-Xing Lv

2010-01-01

Agile intelligent manufacturing is one of the new manufacturing paradigms that adapt to the fierce globalizing market competition and meet the survival needs of the enterprises, in which the management and control of the production system have surpassed the scope of individual enterprise and embodied some new features including complexity, dynamicity, distributivity, and compatibility. The agile intelligent manufacturing paradigm calls for a production scheduling system that can support the cooperation among various production sectors, the distribution of various resources to achieve rational organization, scheduling and management of production activities. This paper uses multi-agents technology to build an agile intelligent manufacturing-oriented production scheduling system. Using the hybrid modeling method, the resources and functions of production system are encapsulated, and the agent-based production system model is established. A production scheduling-oriented multi-agents architecture is constructed and a multi-agents reference model is given in this paper.

APPRECIATIVE INTELLIGENCE AND ITS INFLUENCE ON ROMANIAN MANAGERS’ BEHAVIOUR

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MIRELA BUCUREAN

2010-01-01

Full Text Available Appreciative intelligence is a process that allows successful managers to realize their innovative and creative ideas, achieving realistic goals by using the ability to identify the positive potential of actions and take advantage of them. The main characteristic of a manager, in order to obtain organizational welfare is to have the ability to discover the hidden aspects of any situation and to share them with his employees, investors, partners and colleagues. In this paper we will present the result of a questionnaire that we applied on a number of ten Romanian managers, five from Bihor County and five from Cluj County, in order to find out if they heard about appreciative intelligence and if they consider it important for the organizational development.

Intelligence analysis – the royal discipline of Competitive Intelligence

OpenAIRE

František Bartes

2011-01-01

The aim of this article is to propose work methodology for Competitive Intelligence teams in one of the intelligence cycle’s specific area, in the so-called “Intelligence Analysis”. Intelligence Analysis is one of the stages of the Intelligence Cycle in which data from both the primary and secondary research are analyzed. The main result of the effort is the creation of added value for the information collected. Company Competiitve Intelligence, correctly understood and implemented in busines...

Aurora Police Lieutenant Gains Intelligence Insight

OpenAIRE

Center for Homeland Defense and Security

2012-01-01

Center for Homeland Defense and Security, PRESS RELEASES Aurora (Colo.) Police Lt. Sam McGhee has served numerous traditional roles in law enforcement such as emergency services coordinator, media relations manager, narcotics and intelligence commander and sector commander. Currently,...

The significance of emotional intelligence and leadership styles of senior leaders in the South African government

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N. M. G. Mfikwe

2017-01-01

Full Text Available A significant body of research over the past two decades found the emotional intelligence abilities to be associated with a range of important work-related behaviours. The aim of this study was to establish the gender differences and significance of emotional intelligence and leadership styles of senior leaders in the South African government. For this purpose, a sample of 85 senior managers were selected from various government departments in South Africa. The results of the study show that emotional intelligence and leadership styles do relate to one another. However, there were no significant differences in leadership styles and emotional intelligence between male and female respondents. This is due to the fact that the core management criteria and standards used to evaluate the performance of senior managers in government, help build a common sense of good management practice in the public service. Recommendations are made for future applications.

Emotional intelligence, risk perception in abstinent cocaine dependent individuals.

Science.gov (United States)

Romero-Ayuso, Dulce; Mayoral-Gontán, Yolanda; Triviño-Juárez, José-Matías

2016-01-01

Cocaine is now responsible for the second-highest number of cessation intervention requests. In this study we analyze the different skills of emotional intelligence in cocaine- dependent patients maintaining abstinence. The Mayer- Salovey-Caruso Emotional Intelligence Test (MSCEIT) and the Balloon Analogue Risk Task (BART) were administered to 50 subjects (25 individuals with no history of drug use and 25 individuals in treatment at the Addictive Behaviors Unit in a state of withdrawal at the time of evaluation). The results showed differences between these groups in overall emotional intelligence quotient, strategic emotional intelligence, understanding emotions and emotional management. Cocaine-addicted participants showed difficulties in analyzing complex emotions and regulating their emotional response, aspects that can interfere with interactions in daily life.

Competitive intelligence: An exploratory literature review of its positioning

Directory of Open Access Journals (Sweden)

Alexander Maune

2014-10-01

Full Text Available This article is a qualitative-exploratory literature review. The primary concern of the author is to explore the positioning of the competitive intelligence function within organisations so as to establish the best positioning. To ensure reliability of the literary exploration, only peer-reviewed journal articles were used. The findings of this article will make it possible to generalise about the best position of the competitive intelligence function and to develop some valuable propositions for future studies. The findings show that there is no single criterion on which to base the positioning of the competitive intelligence function within organisations. This article will assist business managers to understand and improve their positioning of the competitive intelligence function. This article has therefore academic value.

Next generation intelligent environments ambient adaptive systems

CERN Document Server

Nothdurft, Florian; Heinroth, Tobias; Minker, Wolfgang

2016-01-01

This book covers key topics in the field of intelligent ambient adaptive systems. It focuses on the results worked out within the framework of the ATRACO (Adaptive and TRusted Ambient eCOlogies) project. The theoretical background, the developed prototypes, and the evaluated results form a fertile ground useful for the broad intelligent environments scientific community as well as for industrial interest groups. The new edition provides: Chapter authors comment on their work on ATRACO with final remarks as viewed in retrospective Each chapter has been updated with follow-up work emerging from ATRACO An extensive introduction to state-of-the-art statistical dialog management for intelligent environments Approaches are introduced on how Trust is reflected during the dialog with the system.

Intelligent Bioreactor Management Information System (IBM-IS) for Mitigation of Greenhouse Gas Emissions

Energy Technology Data Exchange (ETDEWEB)

Paul Imhoff; Ramin Yazdani; Don Augenstein; Harold Bentley; Pei Chiu

2010-04-30

Methane is an important contributor to global warming with a total climate forcing estimated to be close to 20% that of carbon dioxide (CO2) over the past two decades. The largest anthropogenic source of methane in the US is 'conventional' landfills, which account for over 30% of anthropogenic emissions. While controlling greenhouse gas emissions must necessarily focus on large CO2 sources, attention to reducing CH4 emissions from landfills can result in significant reductions in greenhouse gas emissions at low cost. For example, the use of 'controlled' or bioreactor landfilling has been estimated to reduce annual US greenhouse emissions by about 15-30 million tons of CO2 carbon (equivalent) at costs between $3-13/ton carbon. In this project we developed or advanced new management approaches, landfill designs, and landfill operating procedures for bioreactor landfills. These advances are needed to address lingering concerns about bioreactor landfills (e.g., efficient collection of increased CH4 generation) in the waste management industry, concerns that hamper bioreactor implementation and the consequent reductions in CH4 emissions. Collectively, the advances described in this report should result in better control of bioreactor landfills and reductions in CH4 emissions. Several advances are important components of an Intelligent Bioreactor Management Information System (IBM-IS).

Spiritual intelligence leadership lessons from the Tanakh: A narrative inquiry

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Sivave Mashingaidze

2014-09-01

Full Text Available The purpose of this article was a narrative inquiry of spiritual intelligence leadership lessons from the Tanakh. Spiritual intelligence skills and traits were discussed which are: Honesty and integrity; Purpose; Kindness and compassion; Humility; Communication; Performance management; Team development; Courage; Justice and fairness and finally Leadership development. The findings were that spiritual intelligence from the Tanakh was a contributor to the winning of many wars and projects by these ancient biblical leaders and acted as a touchstone for lessons today. The article concluded that it is unspoken truism that religiosity and spirituality were important in influencing leaders’ intelligence. A recommendation was given for corporates to adopt intelligent skills from the Bible since even greatest scientists as cited in the article got knowledge from the Tanakh.

INTELIGENCIA EMOCIONAL Y GERENCIA TÓXICA EN LOS JEFES DE DEPARTAMENTOS ACADÉMICOS. UNIVERSIDAD DE ORIENTE, NÚCLEO DE SUCRE, CUMANÁ I EMOTIONAL INTELLIGENCE AND TOXIC MANAGEMENT IN THE HEADS OF ACADEMIC DEPARTMENTS. UNIVERSIDAD DE ORIENTE, SUCRE CAMPUS, CUMANÁ

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MARÍA GABRIELA GUZMÁN GONZÁLEZ

2018-05-01

Full Text Available Organizations are subjected to different pressures in order to persist over time, facilitating the emergence of an aggressive type of management that is called Toxic Management, understood as a way of exercising power through egocentric behavior, lacking empathy, ruthlessness and personal ambition. The behavioral characteristics of those who hold this type of management are related to emotional skills, based on emotional intelligence, which is the ability of the individual to recognize and control his own feelings, hold an empathic attitude and manage interpersonal relationships. The objective of this research was to analyze the relationship between emotional intelligence and toxic management among the Heads of the Academic Departments and/or Program Coordinators at the Universidad de Oriente, Sucre Campus, Cumaná. The field research was performed at a descriptive- correlational level. The level of emotional intelligence was measured by the test designed by Goleman, and for the toxic management the test proposed by Piñuel was used. The results show that the level of emotional intelligence of the sample studied is medium-high, while the risk of the job management is moderate. There is a strong positive correlation between the variables studied, indicating that the level of toxicity depends on the ability of the individual to manage emotional competencies

Business and Social Behaviour Intelligence Analysis Using PSO

OpenAIRE

Vinay S Bhaskar; Abhishek Kumar Singh; Jyoti Dhruw; Anubha Parashar; Mradula Sharma

2014-01-01

The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the application of Artificial Neural Networks (ANNs) and Particle Swarm Optimization (PSO) algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial dat...

Operational and real-time Business Intelligence

Directory of Open Access Journals (Sweden)

Daniela Ioana SANDU

2008-01-01

Full Text Available A key component of a company’s IT framework is a business intelligence (BI system. BI enables business users to report on, analyze and optimize business operations to reduce costs and increase revenues. Organizations use BI for strategic and tactical decision making where the decision-making cycle may span a time period of several weeks (e.g., campaign management or months (e.g., improving customer satisfaction.Competitive pressures coming from a very dynamic business environment are forcing companies to react faster to changing business conditions and customer requirements. As a result, there is now a need to use BI to help drive and optimize business operations on a daily basis, and, in some cases, even for intraday decision making. This type of BI is usually called operational business intelligence and real-time business intelligence.

Model of key success factors for Business Intelligence implementation

Directory of Open Access Journals (Sweden)

Peter Mesaros

2016-07-01

Full Text Available New progressive technologies recorded growth in every area. Information-communication technologies facilitate the exchange of information and it facilitates management of everyday activities in enterprises. Specific modules (such as Business Intelligence facilitate decision-making. Several studies have demonstrated the positive impact of Business Intelligence to decision-making. The first step is to put in place the enterprise. The implementation process is influenced by many factors. This article discusses the issue of key success factors affecting to successful implementation of Business Intelligence. The article describes the key success factors for successful implementation and use of Business Intelligence based on multiple studies. The main objective of this study is to verify the effects and dependence of selected factors and proposes a model of key success factors for successful implementation of Business Intelligence. Key success factors and the proposed model are studied in Slovak enterprises.

Intelligent Agent Transparency in Human-Agent Teaming for Multi-UxV Management.

Science.gov (United States)

Mercado, Joseph E; Rupp, Michael A; Chen, Jessie Y C; Barnes, Michael J; Barber, Daniel; Procci, Katelyn

2016-05-01

We investigated the effects of level of agent transparency on operator performance, trust, and workload in a context of human-agent teaming for multirobot management. Participants played the role of a heterogeneous unmanned vehicle (UxV) operator and were instructed to complete various missions by giving orders to UxVs through a computer interface. An intelligent agent (IA) assisted the participant by recommending two plans-a top recommendation and a secondary recommendation-for every mission. A within-subjects design with three levels of agent transparency was employed in the present experiment. There were eight missions in each of three experimental blocks, grouped by level of transparency. During each experimental block, the IA was incorrect three out of eight times due to external information (e.g., commander's intent and intelligence). Operator performance, trust, workload, and usability data were collected. Results indicate that operator performance, trust, and perceived usability increased as a function of transparency level. Subjective and objective workload data indicate that participants' workload did not increase as a function of transparency. Furthermore, response time did not increase as a function of transparency. Unlike previous research, which showed that increased transparency resulted in increased performance and trust calibration at the cost of greater workload and longer response time, our results support the benefits of transparency for performance effectiveness without additional costs. The current results will facilitate the implementation of IAs in military settings and will provide useful data to the design of heterogeneous UxV teams. © 2016, Human Factors and Ergonomics Society.

Advantages of Intelligent SDH/SONET Networks

Indian Academy of Sciences (India)

First page Back Continue Last page Overview Graphics. Advantages of Intelligent SDH/SONET Networks. GMPLS simplifies network management, thus reducing operating expenses (“staff”) and minimizing errors. Same benefits as computerization of banking, accounts, etc. Auto-discovery simplifies equipment installation ...

Emotional intelligence scale for medical students

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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.

Logical Aspects Regarding the Conception of Intelligent Systems

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Vasile Mazilescu

2016-07-01

Full Text Available The present paper presents some logical aspects of symbolic AI Systems, applied to the Intelligent Systems design. The basic feature of these systems is represented by the processing of the imprecise and dynamic knowledge involved in the synthesis of some decisions. We consider that the paper tackles an up-to-date and little debated aspect especially in the field of decision fuzzy systems. Knowledge-based systems with real-time functioning bear features that the majority of classic systems do not have: reasoning is evolutionary and non-monotonous due to the dynamic nature of the application, and events can change the status of the expert management system. The management architectures based on symbolic techniques acquire characteristics specific to the domain problem and to the type of intelligent system based on a management knowledge structure.

23rd International Conference on Flexible Automation & Intelligent Manufacturing

CERN Document Server

2013-01-01

The proceedings includes the set of revised papers from the 23rd International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2013). This conference aims to provide an international forum for the exchange of leading edge scientific knowledge and industrial experience regarding the development and integration of the various aspects of Flexible Automation and Intelligent Manufacturing Systems covering the complete life-cycle of a company’s Products and Processes. Contents will include topics such as: Product, Process and Factory Integrated Design, Manufacturing Technology and Intelligent Systems, Manufacturing Operations Management and Optimization and Manufacturing Networks and MicroFactories.

An overview of artificial intelligence and robotics. Volume 1: Artificial intelligence. Part A: The core ingredients

Science.gov (United States)

Gevarter, W. B.

1983-01-01

Artificial Intelligence (AI) is an emerging technology that has recently attracted considerable attention. Many applications are now under development. The goal of Artificial Intelligence is focused on developing computational approaches to intelligent behavior. This goal is so broad - covering virtually all aspects of human cognitive activity - that substantial confusion has arisen as to the actual nature of AI, its current status and its future capability. This volume, the first in a series of NBS/NASA reports on the subject, attempts to address these concerns. Thus, this report endeavors to clarify what AI is, the foundations on which it rests, the techniques utilized, applications, the participants and, finally, AI's state-of-the-art and future trends. It is anticipated that this report will prove useful to government and private engineering and research managers, potential users, and others who will be affected by this field as it unfolds.

Model of key success factors for Business Intelligence implementation

OpenAIRE

Peter Mesaros; Tomas Mandicak; Daniela Mackova; Stefan Carnicky; Martina Habinakova; Marcela Spisakova

2016-01-01

New progressive technologies recorded growth in every area. Information-communication technologies facilitate the exchange of information and it facilitates management of everyday activities in enterprises. Specific modules (such as Business Intelligence) facilitate decision-making. Several studies have demonstrated the positive impact of Business Intelligence to decision-making. The first step is to put in place the enterprise. The implementation process is influenced by many factors. This a...

Intelligence analysis in corporate security

Directory of Open Access Journals (Sweden)

Manojlović Dragan

2014-01-01

Full Text Available Located in the survey indicate that the protection of a corporation, its internal and external interest from the perspective of quality data for intelligence analysis and the need for kroporacije and corporate security. Furthermore, the results indicate that the application is not only practical knowledge of intelligence analysis, but also its scientific knowledge, provides epistemologically oriented critique of traditional techniques undertaken in corporate security in connection with the analysis of the challenges, risks and threats. On the question of whether it can and should be understood only as a form of corporate espionage, any aspect of such a new concept in the theory and practice of corporate security, competitive intelligence activities, as well as an activity or involves a range of different methods and techniques meaningful and expedient activities to be implemented integrally and continuously within corporate security, given the multiple responses to the work. The privatization of intelligence activities as an irreversible process that was decades ago engulfed the western hemisphere, in the first decade of the third millennium has been accepted in Europe, in the sense that corporations at national and multinational levels of system intelligence analysis used not only for your safety but also for the competition, and nothing and less for growth companies and profits. It has become a resource that helps control their managers in corporations to make timely and appropriate decisions. Research has shown that intelligence analysis in corporate security one factor that brings the diversity of the people and give corporations an advantage not only in time, but much more on the market and product.

Cultural intelligence and network organizations in society: Case of Tehran neighborhood councils

Directory of Open Access Journals (Sweden)

Salamzadeh Yashar

2016-01-01

Full Text Available Network communications is one of the modern ideas in the field of organizational behavior. On the other hand, the ability to communicate with employees and understand the cultural differences between them in a multicultural environment is one of the key skills that managers and employees need them in the nowadays organizations. These skills are introduced as cultural intelligence in organizations that have ability to respond to many challenges in multicultural environments. This article was aimed to analysis the relationship between cultural intelligence and network communication. These questionnaires were distributed between 134 members at the Tehran neighborhood councils. In order to analyzing data and concluding results, SPSS, and then Pearson correlation test were used. The research was done based on structural equation modeling (SEM. The result indicated that there was significant positive relationship between cultural intelligence and network communication. Also there was significant positive relationship between each dimension of cultural intelligence and network communication. Findings show that cultural intelligence is a basic factor in network communication and confirm the main hypothesis of this study which represents the existence of a positive and meaningful relation between cultural intelligence and network communication. Furthermore, the results show that considering this kind of intelligence, especially in network organizations which has a high ethnic and cultural variety, could be very useful for improve employees and managers communications.

Intelligence Constraints on Terrorist Network Plots

Science.gov (United States)

Woo, Gordon

Since 9/11, the western intelligence and law enforcement services have managed to interdict the great majority of planned attacks against their home countries. Network analysis shows that there are important intelligence constraints on the number and complexity of terrorist plots. If two many terrorists are involved in plots at a given time, a tipping point is reached whereby it becomes progressively easier for the dots to be joined and for the conspirators to be arrested, and for the aggregate evidence to secure convictions. Implications of this analysis are presented for the campaign to win hearts and minds.

Digital intelligence sources transporter

International Nuclear Information System (INIS)

Zhang Zhen; Wang Renbo

2011-01-01

It presents from the collection of particle-ray counting, infrared data communication, real-time monitoring and alarming, GPRS and other issues start to realize the digital management of radioactive sources, complete the real-time monitoring of all aspects, include the storing of radioactive sources, transporting and using, framing intelligent radioactive sources transporter, as a result, achieving reliable security supervision of radioactive sources. (authors)

The level of emotional intelligence in undergraduate students of nursing

Directory of Open Access Journals (Sweden)

Majerníková Ľudmila

2017-03-01

Full Text Available Aim. The theory of emotional intelligence provides a framework to think about all of the non-technical skills you need in order to be a good nurse. It’s often described as the potential to feel, use, communicate, recognize, remember, describe, identify, learn from, manage, understand, and explain emotions. The aim of the study was to determine the level of total global Emotional Intelligence among undergraduate students of nursing and also to check the influence of factors (the year of study, type of completed high school education on Emotional Intelligence.

Artificial intelligence applied to fuel management in BWR type reactors; Inteligencia artificial aplicada a la administracion de combustible en reactores BWR

Energy Technology Data Exchange (ETDEWEB)

Ortiz S, J.J

1998-10-01

In this work two techniques of artificial intelligence, neural networks and genetic algorithms were applied to a practical problem of nuclear fuel management; the determination of the optimal fuel reload for a BWR type reactor. This is an important problem in the design of the operation cycle of the reactor. As a result of the application of these techniques, comparable or even better reloads proposals than those given by expert companies in the subject were obtained. Additionally, two other simpler problems in reactor physics were solved: the determination of the axial power profile and the prediction of the value of some variables of interest at the end of the operation cycle of the reactor. Neural networks and genetic algorithms have been applied to solve many problems of engineering because of their versatility but they have been rarely used in the area of fuel management. The results obtained in this thesis indicates the convenience of undertaking further work on this area and suggest the application of these techniques of artificial intelligence to the solution of other problems in nuclear reactor physics. (Author)

Intelligent Garbage Classifier

Directory of Open Access Journals (Sweden)

Ignacio Rodríguez Novelle

2008-12-01

Full Text Available IGC (Intelligent Garbage Classifier is a system for visual classification and separation of solid waste products. Currently, an important part of the separation effort is based on manual work, from household separation to industrial waste management. Taking advantage of the technologies currently available, a system has been built that can analyze images from a camera and control a robot arm and conveyor belt to automatically separate different kinds of waste.

Advances in software development for intelligent interfaces for alarm and emergency management consoles

International Nuclear Information System (INIS)

Moseley, M.R.; Olson, C.E.

1986-01-01

Recent advances in technology allow features like voice synthesis, voice and speech recognition, image understanding, and intelligent data base management to be incorporated in computer driven alarm and emergency management information systems. New software development environments make it possible to do rapid prototyping of custom applications. Three examples using these technologies are discussed. (1) Maximum use is made of high-speed graphics and voice synthesis to implement a state-of-the-art alarm processing and display system with features that make the operator-machine interface efficient and accurate. Although very functional, this system is not portable or flexible; the software would have to be substantially rewritten for other applications. (2) An application generator which has the capability of ''building'' a specific alarm processing and display application in a matter of a few hours, using the site definition developed in the security planning phase to produce the custom application. This package is based on a standardized choice of hardware, within which it is capable of building a system to order, automatically constructing graphics, data tables, alarm prioritization rules, and interfaces to peripherals. (3) A software tool, the User Interface Management System (UIMS), is described which permits rapid prototyping of human-machine interfaces for a variety of applications including emergency management, alarm display and process information display. The object-oriented software of the UIMS achieves rapid prototyping of a new interface by standardizing to a class library of software objects instead of hardware objects

Options for reducing food waste by quality-controlled logistics using intelligent packaging along the supply chain.

Science.gov (United States)

Heising, Jenneke K; Claassen, G D H; Dekker, Matthijs

2017-10-01

Optimising supply chain management can help to reduce food waste. This paper describes how intelligent packaging can be used to reduce food waste when used in supply chain management based on quality-controlled logistics (QCL). Intelligent packaging senses compounds in the package that correlate with the critical quality attribute of a food product. The information on the quality of each individual packaged food item that is provided by the intelligent packaging can be used for QCL. In a conceptual approach it is explained that monitoring food quality by intelligent packaging sensors makes it possible to obtain information about the variation in the quality of foods and to use a dynamic expiration date (IP-DED) on a food package. The conceptual approach is supported by quantitative data from simulations on the effect of using the information of intelligent packaging in supply chain management with the goal to reduce food waste. This simulation shows that by using the information on the quality of products that is provided by intelligent packaging, QCL can substantially reduce food waste. When QCL is combined with dynamic pricing based on the predicted expiry dates, a further waste reduction is envisaged.

Web Intelligence and Artificial Intelligence in Education

Science.gov (United States)

Devedzic, Vladan

2004-01-01

This paper surveys important aspects of Web Intelligence (WI) in the context of Artificial Intelligence in Education (AIED) research. WI explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-related products, systems, services, and…

Emotional Intelligence, Work/Family Conflict, and Work Values among Customer Service Representatives: Basis for Organizational Support

Directory of Open Access Journals (Sweden)

Rommel P. Sergio

2015-03-01

Full Text Available This research paper discusses the profile of emotional intelligence, work/family conflict, and work values among 437 purposively selected customer service representatives (CSRs from the Middle East, Iran, Pakistan, Russia, India, and the Philippines. Moreover, the study leads to a set of organizational change development programs to assist organizations to cope with their diversity concerns. The descriptive, comparative-correlational methods were employed as this paper also aims to find the correlates of emotional intelligence such as work/family conflict, and work values. The researchers utilized several instruments, namely the Demographic Profile Sheet, Emotional Competence Inventory, Work/Family Conflict Scale, and Work Values Inventory. The general findings reveal that there is a significant relationship between emotional intelligence and work/family conflict, particularly on the areas of self- management, social awareness and relationship management; whereas, there is a significant relationship between emotional intelligence (particularly on the clusters of self- management, social awareness and relationship management and work values (specifically in the areas of management, achievement, supervisory relations, way of life, and independence. The organizational development support programs with emphasis on diversity management have been recommended to set future directions for call center organizations involved in the study.

Artificial Intelligence and Moral intelligence

Directory of Open Access Journals (Sweden)

Laura Pana

2008-07-01

Full Text Available We discuss the thesis that the implementation of a moral code in the behaviour of artificial intelligent systems needs a specific form of human and artificial intelligence, not just an abstract intelligence. We present intelligence as a system with an internal structure and the structural levels of the moral system, as well as certain characteristics of artificial intelligent agents which can/must be treated as 1- individual entities (with a complex, specialized, autonomous or selfdetermined, even unpredictable conduct, 2- entities endowed with diverse or even multiple intelligence forms, like moral intelligence, 3- open and, even, free-conduct performing systems (with specific, flexible and heuristic mechanisms and procedures of decision, 4 – systems which are open to education, not just to instruction, 5- entities with “lifegraphy”, not just “stategraphy”, 6- equipped not just with automatisms but with beliefs (cognitive and affective complexes, 7- capable even of reflection (“moral life” is a form of spiritual, not just of conscious activity, 8 – elements/members of some real (corporal or virtual community, 9 – cultural beings: free conduct gives cultural value to the action of a ”natural” or artificial being. Implementation of such characteristics does not necessarily suppose efforts to design, construct and educate machines like human beings. The human moral code is irremediably imperfect: it is a morality of preference, of accountability (not of responsibility and a morality of non-liberty, which cannot be remedied by the invention of ethical systems, by the circulation of ideal values and by ethical (even computing education. But such an imperfect morality needs perfect instruments for its implementation: applications of special logic fields; efficient psychological (theoretical and technical attainments to endow the machine not just with intelligence, but with conscience and even spirit; comprehensive technical

Emotional Intelligence and job performance: Evidence from railroad industry

Directory of Open Access Journals (Sweden)

Masoumeh Bahmanabadi

2014-08-01

Full Text Available This paper presents an empirical investigation to study the relationship between emotional intelligence and job performance in railroad industry. The study uses two questionnaires, one for measuring emotional intelligence adopted from Salovey and Mayer (1989 [Salovey, P., & Mayer, J. D. (1989. Emotional intelligence. Imagination, Cognition and Personality, 9(3, 185-211.] and the other one for measuring job performance. The study selects 300 full time employees who work for railroad industry in city of Tehran, Iran, distributes two questionnaires among the employees and managed to collect all filled ones. Using Spearman correlation, the study has determined a positive and meaningful relationship between emotional intelligence and job performance (r = 0.796, Sig. = 0.000. In addition, there were positive and meaningful relationships between four components of emotional intelligence, namely consciousness (r = 0.642, Sig. = 0.000, self-regulation (r = 0.41, Sig. = 0.000, self-awareness ( r = 0.552, Sig. = 0.000 and social skills (r = 0.524, Sig. = 0.000.

Intelligible Artificial Intelligence

OpenAIRE

Weld, Daniel S.; Bansal, Gagan

2018-01-01

Since Artificial Intelligence (AI) software uses techniques like deep lookahead search and stochastic optimization of huge neural networks to fit mammoth datasets, it often results in complex behavior that is difficult for people to understand. Yet organizations are deploying AI algorithms in many mission-critical settings. In order to trust their behavior, we must make it intelligible --- either by using inherently interpretable models or by developing methods for explaining otherwise overwh...

Fixed Point Learning Based Intelligent Traffic Control System

Science.gov (United States)

Zongyao, Wang; Cong, Sui; Cheng, Shao

2017-10-01

Fixed point learning has become an important tool to analyse large scale distributed system such as urban traffic network. This paper presents a fixed point learning based intelligence traffic network control system. The system applies convergence property of fixed point theorem to optimize the traffic flow density. The intelligence traffic control system achieves maximum road resources usage by averaging traffic flow density among the traffic network. The intelligence traffic network control system is built based on decentralized structure and intelligence cooperation. No central control is needed to manage the system. The proposed system is simple, effective and feasible for practical use. The performance of the system is tested via theoretical proof and simulations. The results demonstrate that the system can effectively solve the traffic congestion problem and increase the vehicles average speed. It also proves that the system is flexible, reliable and feasible for practical use.