A study on the effect of emotional intelligence on retail investors’ behavior

Directory of Open Access Journals (Sweden)

Reza Pirayesh

2014-01-01

Full Text Available Investment decisions are normally accomplished based on fundamental or technical methods. However, there are many cases where investors make their investment decisions based on their emotions. This study investigates the effects of various factors including biases representation, mental accounting and risk aversion when an investment decision is executed. In other words, the study examines the effects of emotional intelligence components on retail investors’ investment strategies on Tehran Stock Exchange (TSE. The proposed study selects a sample of 270 investors who had some experiences on TSE randomly and using a questionnaire based survey detected that there was a positive and meaningful relationship between emotional intelligence and investment decisions.

Design, Development and Implementation of Decision Support Systems for Private Equity Investment

OpenAIRE

Vroomen, Paul

2017-01-01

The objective of this research is to design, develop and implement an intelligent decision support system (IDSS) for making rational private equity investment decisions. (Private equity investments are capital investments in enterprises that are not traded on public equity markets; they include Equity Buy-Out, Venture Capital, and the new Equity Crowd Funding (ECF) asset classes). The design and development of the IDSS requires the integration of investment science (valuation theory, portfoli...

Just What Do We Mean by "Investment"?

Science.gov (United States)

Carr, Clay

1989-01-01

Discusses the need to develop ways of measuring the cost effectiveness of investment in employee training. Examples of employees with various training needs and their possible impact on the organization are presented, the replacement of humans with machine intelligence is discussed, and the application of performance technology is suggested. (LRW)

Darwin's "strange inversion of reasoning".

Science.gov (United States)

Dennett, Daniel

2009-06-16

Darwin's theory of evolution by natural selection unifies the world of physics with the world of meaning and purpose by proposing a deeply counterintuitive "inversion of reasoning" (according to a 19th century critic): "to make a perfect and beautiful machine, it is not requisite to know how to make it" [MacKenzie RB (1868) (Nisbet & Co., London)]. Turing proposed a similar inversion: to be a perfect and beautiful computing machine, it is not requisite to know what arithmetic is. Together, these ideas help to explain how we human intelligences came to be able to discern the reasons for all of the adaptations of life, including our own.

Software tool for resolution of inverse problems using artificial intelligence techniques: an application in neutron spectrometry; Herramienta en software para resolucion de problemas inversos mediante tecnicas de inteligencia artificial: una aplicacion en espectrometria neutronica

Energy Technology Data Exchange (ETDEWEB)

Castaneda M, V. H.; Martinez B, M. R.; Solis S, L. O.; Castaneda M, R.; Leon P, A. A.; Hernandez P, C. F.; Espinoza G, J. G.; Ortiz R, J. M.; Vega C, H. R. [Universidad Autonoma de Zacatecas, 98000 Zacatecas, Zac. (Mexico); Mendez, R. [CIEMAT, Departamento de Metrologia de Radiaciones Ionizantes, Laboratorio de Patrones Neutronicos, Av. Complutense 22, 28040 Madrid (Spain); Gallego, E. [Universidad Politecnica de Madrid, Departamento de Ingenieria Nuclear, C. Jose Gutierrez Abascal 2, 28006 Madrid (Spain); Sousa L, M. A. [Comision Nacional de Energia Nuclear, Centro de Investigacion de Tecnologia Nuclear, Av. Pte. Antonio Carlos 6627, Pampulha, 31270-901 Belo Horizonte, Minas Gerais (Brazil)

2016-10-15

The Taguchi methodology has proved to be highly efficient to solve inverse problems, in which the values of some parameters of the model must be obtained from the observed data. There are intrinsic mathematical characteristics that make a problem known as inverse. Inverse problems appear in many branches of science, engineering and mathematics. To solve this type of problem, researches have used different techniques. Recently, the use of techniques based on Artificial Intelligence technology is being explored by researches. This paper presents the use of a software tool based on artificial neural networks of generalized regression in the solution of inverse problems with application in high energy physics, specifically in the solution of the problem of neutron spectrometry. To solve this problem we use a software tool developed in the Mat Lab programming environment, which employs a friendly user interface, intuitive and easy to use for the user. This computational tool solves the inverse problem involved in the reconstruction of the neutron spectrum based on measurements made with a Bonner spheres spectrometric system. Introducing this information, the neural network is able to reconstruct the neutron spectrum with high performance and generalization capability. The tool allows that the end user does not require great training or technical knowledge in development and/or use of software, so it facilitates the use of the program for the resolution of inverse problems that are in several areas of knowledge. The techniques of Artificial Intelligence present singular veracity to solve inverse problems, given the characteristics of artificial neural networks and their network topology, therefore, the tool developed has been very useful, since the results generated by the Artificial Neural Network require few time in comparison to other techniques and are correct results comparing them with the actual data of the experiment. (Author)

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.

Intelligence in early adulthood and midlife physical performance in men

DEFF Research Database (Denmark)

Meincke, Rikke Hodal; Hansen, Åse Marie; Mortensen, Laust Hvas

2016-01-01

The objective of this study was to examine whether associations between intelligence in early adulthood and midlife physical performance in men were mediated by education and leisure-time physical activity. Intelligence correlated positively with later education (r = 0.47) and negatively with phy......The objective of this study was to examine whether associations between intelligence in early adulthood and midlife physical performance in men were mediated by education and leisure-time physical activity. Intelligence correlated positively with later education (r = 0.47) and negatively...... performance, but because intelligence in early adulthood was inversely associated with physical activity, the indirect effects through physical activity were negative. Overall, education and leisure-time physical activity were not strong mediators of the association between early adult intelligence...

Intelligent sensor networks the integration of sensor networks, signal processing and machine learning

CERN Document Server

Hu, Fei

2012-01-01

Although governments worldwide have invested significantly in intelligent sensor network research and applications, few books cover intelligent sensor networks from a machine learning and signal processing perspective. Filling this void, Intelligent Sensor Networks: The Integration of Sensor Networks, Signal Processing and Machine Learning focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on the world-class research of award-winning authors, the book provides a firm grounding in the fundamentals of intelligent sensor networks, incl

Intelligence and Family Size: Another Look. Discussion Papers No. 467-77.

Science.gov (United States)

Olneck, Michael R.; Wolfe, Barbara L.

Periodically, fears are voiced that the intelligence level of the United States population is falling. Historically, this fear has been linked to the belief that fertility is inversely related to intelligence. Evidence for that belief is sparse and may be an artifact of the failure of researchers to consider completed families. An inverse…

The intelligent investor a book of practical counsel

CERN Document Server

Graham, Benjamin

2003-01-01

This classic text is annotated to update Graham's timeless wisdom for today's market conditions... The greatest investment advisor of the twentieth century, Benjamin Graham, taught and inspired people worldwide. Graham's philosophy of "value investing" -- which shields investors from substantial error and teaches them to develop long-term strategies -- has made The Intelligent Investor the stock market bible ever since its original publication in 1949. Over the years, market developments have proven the wisdom of Graham's strategies. While preserving the integrity of Graham's original text, this revised edition includes updated commentary by noted financial journalist Jason Zweig, whose perspective incorporates the realities of today's market, draws parallels between Graham's examples and today's financial headlines, and gives readers a more thorough understanding of how to apply Graham's principles. Vital and indispensable, this HarperBusiness Essentials edition of The Intelligent Investor is the most imp...

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

Science.gov (United States)

Kong, Changduk; Lim, Semyeong

2011-12-01

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

AI-guided parameter optimization in inverse treatment planning

International Nuclear Information System (INIS)

Yan Hui; Yin Fangfang; Guan Huaiqun; Kim, Jae Ho

2003-01-01

An artificial intelligence (AI)-guided inverse planning system was developed to optimize the combination of parameters in the objective function for intensity-modulated radiation therapy (IMRT). In this system, the empirical knowledge of inverse planning was formulated with fuzzy if-then rules, which then guide the parameter modification based on the on-line calculated dose. Three kinds of parameters (weighting factor, dose specification, and dose prescription) were automatically modified using the fuzzy inference system (FIS). The performance of the AI-guided inverse planning system (AIGIPS) was examined using the simulated and clinical examples. Preliminary results indicate that the expected dose distribution was automatically achieved using the AI-guided inverse planning system, with the complicated compromising between different parameters accomplished by the fuzzy inference technique. The AIGIPS provides a highly promising method to replace the current trial-and-error approach

Relationships of Big Five personality traits and nonverbal intelligence at high school age

Directory of Open Access Journals (Sweden)

Voronina Irina

2016-01-01

Full Text Available The article presents the results of study on the relationship of personality traits and intelligence in Russian high school students. The study focused on Big Five personality traits - Neuroticism, Extraversion, Openness, Agreeableness and Conscientiousness - and the structure of their relationships with nonverbal intelligence, as measured by the test “Standard Progressive Matrices”. Significant correlations were only found between nonverbal intelligence and Openness (r = 0.26, p < 0.05. The results are interpreted in the context of investment theory, which assumes that personality traits can promote the formation of individual differences in intelligence.

Relationship Between Personality Types Conceptualized by C. G. Jung and Emotional Intelligence

Directory of Open Access Journals (Sweden)

Natasha Virmozelova

2013-10-01

Full Text Available The main aim of this study is to present the results from a study of the relationship between personality types described by C. G. Jung and emotional intelligence. The investigated subjects were 150 at the age of 18 – 50. The methods of research were MBTI (Myers-Briggs Type Indicator - Bulgarian adaptation (Rusinova, 1992 and one psychological questionnaire measuring emotional intelligence -Bulgarian adaptation (Stoyanova, 2008. The received data indicated that the functions of thinking and sensing, and introversion correlated inversely with the factors of emotional intelligence “Sharing emotions and empathy”, “Motivation to overcome difficulties and optimisms” and extroversion correlated proportionally with them. The function feeling correlated proportionally with the factor “Sharing emotions and empathy” and it correlated inversely with the factor “Recognition of nonverbal expression of emotion of the other people”.

The future of active and intelligent packaging industry

Directory of Open Access Journals (Sweden)

Renata Dobrucka

2013-06-01

Full Text Available Background: Innovation in food and beverage packaging is mostly driven by consumer needs and demands influenced by changing global trends, such as increased life expectancy, fewer organizations investing in food production and distribution. Food industry has seen great advances in the packaging sector since its inception in the 18th century with most active and intelligent innovations occurring during the past century. These advances have led to improved food quality and safety. Active and intelligent packaging is new and exciting area of technology  which efficient contemporary consumer response. Materials and methods: On the basis of broad review of the current state of the art in world literature, the market active and intelligent packaging is discussed. Results: This paper shows present innovation in the market active and intelligent packaging. Conclusion: Research and development in the field of active and intelligent packaging materials is very dynamic and develops in relation with the search for environment friendly packaging solutions. Besides, active and intelligent packaging is becoming more and more widely used for food products. The future of this type of packaging system seems to be very interesting.

Current Directional Protection of Series Compensated Line Using Intelligent Classifier

Directory of Open Access Journals (Sweden)

M. Mollanezhad Heydarabadi

2016-12-01

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

Systems and components for intelligent buildings; Sistemi e componenti per la domotica

Energy Technology Data Exchange (ETDEWEB)

Benzi, F. [Pavia Univ., Pavia (Italy). Dipt. di Elettronica

2001-06-01

The rapid development of automation and communication techniques involve also the intelligent buildings project. [Italian] Il rapido sviluppo delle tecniche di automazione e telecomunicazione investe anche la progettazione degli edifici intelligenti.

Optimisation in radiotherapy II: Programmed and inversion optimisation algorithms

International Nuclear Information System (INIS)

Ebert, M.

1997-01-01

This is the second article in a three part examination of optimisation in radiotherapy. The previous article established the bases of optimisation in radiotherapy, and the formulation of the optimisation problem. This paper outlines several algorithms that have been used in radiotherapy, for searching for the best irradiation strategy within the full set of possible strategies. Two principle classes of algorithm are considered - those associated with mathematical programming which employ specific search techniques, linear programming type searches or artificial intelligence - and those which seek to perform a numerical inversion of the optimisation problem, finishing with deterministic iterative inversion. (author)

Implementation and Validation of Artificial Intelligence Techniques for Robotic Surgery

OpenAIRE

Aarshay Jain; Deepansh Jagotra; Vijayant Agarwal

2014-01-01

The primary focus of this study is implementation of Artificial Intelligence (AI) technique for developing an inverse kinematics solution for the Raven-IITM surgical research robot [1]. First, the kinematic model of the Raven-IITM robot was analysed along with the proposed analytical solution [2] for inverse kinematics problem. Next, The Artificial Neural Network (ANN) techniques was implemented. The training data for the same was careful selected by keeping manipulability constraints in mind...

Artificial Intelligence In Computational Fluid Dynamics

Science.gov (United States)

Vogel, Alison Andrews

1991-01-01

Paper compares four first-generation artificial-intelligence (Al) software systems for computational fluid dynamics. Includes: Expert Cooling Fan Design System (EXFAN), PAN AIR Knowledge System (PAKS), grid-adaptation program MITOSIS, and Expert Zonal Grid Generation (EZGrid). Focuses on knowledge-based ("expert") software systems. Analyzes intended tasks, kinds of knowledge possessed, magnitude of effort required to codify knowledge, how quickly constructed, performances, and return on investment. On basis of comparison, concludes Al most successful when applied to well-formulated problems solved by classifying or selecting preenumerated solutions. In contrast, application of Al to poorly understood or poorly formulated problems generally results in long development time and large investment of effort, with no guarantee of success.

Quality politics: an immaterial investment for companies in (micro)electronics

Science.gov (United States)

Bacivarov, I. C.; Lupan, R.; Robledo, C.; Bacivarov, Angelica

2010-11-01

With the globalization of the markets and the growth of competitiveness in the manufacturing sector, quality has become a key factor of success. Quality is particularly important for the companies which activate in the micro(electronics) field. The quality management system holds a vital place in the company's structure. Implementing such a system requires important operating costs. These costs are known as Quality Obtaining Costs (QOC) and may be considered as an investment. Planning an investment, means evaluating its return in order to see if it is profitable or not. Measuring the return of quality politics investment raise some delicate problems. We may calculate some aspects of the return of investment by measuring the shape of non-quality costs. An eventual decrease of these costs could be synonym with a profitable investment. But the advantages of good quality politics cannot be measured only by taking into consideration the non-quality costs (even if they include direct and indirect costs). There are also intangible advantages (like mark image, competences, polyvalence, client's satisfaction...) that derive from quality approaches. How to evaluate this type of consequences / advantages? The idea developed in this article is to considerate the quality politics like un immaterial/intelligent investment. Therefore could it be advantageous / possible to use the immaterial investment's measuring and evaluation techniques for studying the quality politics return of investment?

NON-FERROUS EXPORTS CONCENTRATION AND GLOBAL INVESTMENTS

Directory of Open Access Journals (Sweden)

Brîndușa COVACI

2016-12-01

Full Text Available In the context of high-tech and telecommunication, non-ferrous sector has a crucial role in industries development. Cooper, nickel, aluminum, zinc, lead and tin are used, directly or indirectly, in most of the technologies, especially in high-tech production. The paper present a short index of the global investments for the non-ferrous transnational corporations listed on London Metal Exchange. The non-ferrous investment index presented in the paper refers to the most profitable corporation exports on world, European Union (EU28 and Central and Eastern Europe (CEE level. The export concentration, estimated through Herfindahl-Hirschmann index on world, EU28, CEE and Romanian level, show that the non-ferrous industry is in full process of releasing. The cases presented in the article show that the non-ferrous companies invest intensively in equipment and technologies with superior production capacities, which combat pollution given by non-ferrous processes, research and development for the non-ferrous innovative technologies, and creating new markets. Sustainable and intelligent development is the inflexion point of the non-ferrous transnational corporation investments. The research is predominant in exploration of the transnational corporations’ internet pages and reports, and statistical calculus from international trade websites.

Inconsistent Investment and Consumption Problems

Energy Technology Data Exchange (ETDEWEB)

Kronborg, Morten Tolver, E-mail: mtk@atp.dk [ATP (Danish Labour Market Supplementary Pension Scheme) (Denmark); Steffensen, Mogens, E-mail: mogens@math.ku.dk [University of Copenhagen, Department of Mathematical Sciences (Denmark)

2015-06-15

In a traditional Black–Scholes market we develop a verification theorem for a general class of investment and consumption problems where the standard dynamic programming principle does not hold. The theorem is an extension of the standard Hamilton–Jacobi–Bellman equation in the form of a system of non-linear differential equations. We derive the optimal investment and consumption strategy for a mean-variance investor without pre-commitment endowed with labor income. In the case of constant risk aversion it turns out that the optimal amount of money to invest in stocks is independent of wealth. The optimal consumption strategy is given as a deterministic bang-bang strategy. In order to have a more realistic model we allow the risk aversion to be time and state dependent. Of special interest is the case were the risk aversion is inversely proportional to present wealth plus the financial value of future labor income net of consumption. Using the verification theorem we give a detailed analysis of this problem. It turns out that the optimal amount of money to invest in stocks is given by a linear function of wealth plus the financial value of future labor income net of consumption. The optimal consumption strategy is again given as a deterministic bang-bang strategy. We also calculate, for a general time and state dependent risk aversion function, the optimal investment and consumption strategy for a mean-standard deviation investor without pre-commitment. In that case, it turns out that it is optimal to take no risk at all.

Inconsistent Investment and Consumption Problems

International Nuclear Information System (INIS)

Kronborg, Morten Tolver; Steffensen, Mogens

2015-01-01

In a traditional Black–Scholes market we develop a verification theorem for a general class of investment and consumption problems where the standard dynamic programming principle does not hold. The theorem is an extension of the standard Hamilton–Jacobi–Bellman equation in the form of a system of non-linear differential equations. We derive the optimal investment and consumption strategy for a mean-variance investor without pre-commitment endowed with labor income. In the case of constant risk aversion it turns out that the optimal amount of money to invest in stocks is independent of wealth. The optimal consumption strategy is given as a deterministic bang-bang strategy. In order to have a more realistic model we allow the risk aversion to be time and state dependent. Of special interest is the case were the risk aversion is inversely proportional to present wealth plus the financial value of future labor income net of consumption. Using the verification theorem we give a detailed analysis of this problem. It turns out that the optimal amount of money to invest in stocks is given by a linear function of wealth plus the financial value of future labor income net of consumption. The optimal consumption strategy is again given as a deterministic bang-bang strategy. We also calculate, for a general time and state dependent risk aversion function, the optimal investment and consumption strategy for a mean-standard deviation investor without pre-commitment. In that case, it turns out that it is optimal to take no risk at all

A novel method for the production of core-shell microparticles by inverse gelation optimized with artificial intelligent tools.

Science.gov (United States)

Rodríguez-Dorado, Rosalia; Landín, Mariana; Altai, Ayça; Russo, Paola; Aquino, Rita P; Del Gaudio, Pasquale

2018-03-01

Numerous studies have been focused on hydrophobic compounds encapsulation as oils. In fact, oils can provide numerous health benefits as synergic ingredient combined with other hydrophobic active ingredients. However, stable microparticles for pharmaceutical purposes are difficult to achieve when commonly techniques are used. In this work, sunflower oil was encapsulated in calcium-alginate capsules by prilling technique in co-axial configuration. Core-shell beads were produced by inverse gelation directly at the nozzle using a w/o emulsion containing aqueous calcium chloride solution in sunflower oil pumped through the inner nozzle while an aqueous alginate solution, coming out from the annular nozzle, produced the beads shell. To optimize process parameters artificial intelligence tools were proposed to optimize the numerous prilling process variables. Homogeneous and spherical microcapsules with narrow size distribution and a thin alginate shell were obtained when the parameters as w/o constituents, polymer concentrations, flow rates and frequency of vibration were optimized by two commercial software, FormRules® and INForm®, which implement neurofuzzy logic and Artificial Neural Networks together with genetic algorithms, respectively. This technique constitutes an innovative approach for hydrophobic compounds microencapsulation. Copyright © 2018 Elsevier B.V. All rights reserved.

Risk analysis of investments in-farm milk cooling tanks

Directory of Open Access Journals (Sweden)

Danielle D. Sant´Anna

2003-06-01

Full Text Available A risk analysis for the installation of milk cooling tanks (250, 500 and 1,000 L on Brazilian rural properties was conducted in this study. The results showed that all investments had a return higher than the annual 12% minimum rate of attractiveness. There was a direct relationship between tank size and investment profitability and an inverse relation between size and risk. The probability of achieving returns lower than the opportunity cost was highest for the smallest tank (42%. In order to make the investment in small cooling tanks more attractive, the dairy industry incentives offered to farmers for supplying cooled milk could be increased. However, this approach might make investments in bulk milk collection by dairy companies infeasible. Thus, a recommendable strategy for a successful modernization of the Brazilian dairy sector’s inbound logistics would be to promote an increase in the volume of the milk produced per farm.

NASA Intelligent Systems Project: Results, Accomplishments and Impact on Science Missions

Science.gov (United States)

Coughlan, Joseph C.

2005-01-01

The Intelligent Systems Project was responsible for much of NASA's programmatic investment in artificial intelligence and advanced information technologies. IS has completed three major project milestones which demonstrated increased capabilities in autonomy, human centered computing, and intelligent data understanding. Autonomy involves the ability of a robot to place an instrument on a remote surface with a single command cycle. Human centered computing supported a collaborative, mission centric data and planning system for the Mars Exploration Rovers and data understanding has produced key components of a terrestrial satellite observation system with automated modeling and data analysis capabilities. This paper summarizes the technology demonstrations and metrics which quantify and summarize these new technologies which are now available for future Nasa missions.

Intelligence and neuroticism in relation to depression and psychological distress: Evidence from two large population cohorts.

Science.gov (United States)

Navrady, L B; Ritchie, S J; Chan, S W Y; Kerr, D M; Adams, M J; Hawkins, E H; Porteous, D; Deary, I J; Gale, C R; Batty, G D; McIntosh, A M

2017-06-01

Neuroticism is a risk factor for selected mental and physical illnesses and is inversely associated with intelligence. Intelligence appears to interact with neuroticism and mitigate its detrimental effects on physical health and mortality. However, the inter-relationships of neuroticism and intelligence for major depressive disorder (MDD) and psychological distress has not been well examined. Associations and interactions between neuroticism and general intelligence (g) on MDD, self-reported depression, and psychological distress were examined in two population-based cohorts: Generation Scotland: Scottish Family Health Study (GS:SFHS, n=19,200) and UK Biobank (n=90,529). The Eysenck Personality Scale Short Form-Revised measured neuroticism and g was extracted from multiple cognitive ability tests in each cohort. Family structure was adjusted for in GS:SFHS. Neuroticism was strongly associated with increased risk for depression and higher psychological distress in both samples. Although intelligence conferred no consistent independent effects on depression, it did increase the risk for depression across samples once neuroticism was adjusted for. Results suggest that higher intelligence may ameliorate the association between neuroticism and self-reported depression although no significant interaction was found for clinical MDD. Intelligence was inversely associated with psychological distress across cohorts. A small interaction was found across samples such that lower psychological distress associates with higher intelligence and lower neuroticism, although effect sizes were small. From two large cohort studies, our findings suggest intelligence acts a protective factor in mitigating the effects of neuroticism on psychological distress. Intelligence does not confer protection against diagnosis of depression in those high in neuroticism. Copyright © 2017 The Authors. Published by Elsevier Masson SAS.. All rights reserved.

Artificial Intelligence and the Future of Defense

DEFF Research Database (Denmark)

De Spiegeleire, Stephan; Maas, Matthijs Michiel; Sweijs, Tim

Artificial intelligence (AI) is on everybody’s minds these days. Most of the world’s leading companies are making massive investments in it. Governments are scrambling to catch up. Every single one of us who uses Google Search or any of the new digital assistants on our smartphones has witnessed...... suggests that the advent of artificial super-intelligence (i.e. AI that is superior across the board to human intelligence), which many experts now put firmly within the longer-term planning horizons of our DSOs, presents us with unprecedented risks but also opportunities that we have to start to explore....... The report contains an overview of the role that ‘intelligence’ - the computational part of the ability to achieve goals in the world - has played in defense and security throughout human history; a primer on AI (what it is, where it comes from and where it stands today - in both civilian and military...

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.

Relationship between general intelligence, emotional intelligence, stress levels and stress reactivity.

Science.gov (United States)

Singh, Yogesh; Sharma, Ratna

2012-07-01

Stressful life events and daily life stresses have both deleterious and cumulative effects on human body. In several studies, stress has been shown to affect various parameter of higher mental function like attention, concentration, learning and memory. Present study was designed to explore the relationship among GI level, EI level, psychological stress levels and acute stress reactivity in young normal healthy subjects. The study was conducted on thirty four healthy male student volunteers to study a) acute stress reactivity in subjects with varying levels of General Intelligence (GI) and Emotional Intelligence (EI) and b) correlation between GI, EI, acute stress and perceived stress. Baseline GI and EI and acute stress and perceived stress scores were measured by standard assessment scales. Using median value of GI and EI scores as cutoff values, subjects were categorized into four groups. Among different GI-EI groups, acute stress reactivity was similar but salivary Cortisol (especially post stressor level) and perceived stress level was a differentiating factor. High level of EI was associated inversely with acute and chronic perceived stress level. Significant correlation was found between acute and chronic perceived stress levels. Level of general intelligence showed no relation to acute or chronic stress levels as well as acute stress reactivity. The differences in various groups of GI and EI had no effect on the baseline and post stress performance on Sternberg memory test and all the three conditions of Stroop test. In conclusion emotional intelligence as an attribute is better suited to handle day to day acute stress and chronic perceived stress.

Lyndon B. Johnson Space Center (JSC) proposed dual-use technology investment program in intelligent robots

Science.gov (United States)

Erikson, Jon D.

1994-01-01

This paper presents an overview of the proposed Lyndon B. Johnson Space Center (JSC) precompetitive, dual-use technology investment project in robotics. New robotic technology in advanced robots, which can recognize and respond to their environments and to spoken human supervision so as to perform a variety of combined mobility and manipulation tasks in various sectors, is an obejective of this work. In the U.S. economy, such robots offer the benefits of improved global competitiveness in a critical industrial sector; improved productivity by the end users of these robots; a growing robotics industry that produces jobs and profits; lower cost health care delivery with quality improvements; and, as these 'intelligent' robots become acceptable throughout society, an increase in the standard of living for everyone. In space, such robots will provide improved safety, reliability, and productivity as Space Station evolves, and will enable human space exploration (by human/robot teams). The proposed effort consists of partnerships between manufacturers, universities, and JSC to develop working production prototypes of these robots by leveraging current development by both sides. Currently targeted applications are in the manufacturing, health care, services, and construction sectors of the U.S. economy and in the inspection, servicing, maintenance, and repair aspects of space exploration. But the focus is on the generic software architecture and standardized interfaces for custom modules tailored for the various applications allowing end users to customize a robot as PC users customize PC's. Production prototypes would be completed in 5 years under this proposal.

Domain-specific knowledge as the "dark matter" of adult intelligence: Gf/Gc, personality and interest correlates.

Science.gov (United States)

Ackerman, P L

2000-03-01

An enduring controversy in intelligence theory and assessment, the argument that middle-aged adults are, on average, less intelligent than young adults, is addressed in this study. A sample of 228 educated adults between ages 21 and 62 years was given an array of tests that focused on a broad assessment of intelligence-as-knowledge, traditional estimates of fluid intelligence (Gf) and crystallized intelligence (Gc), personality, and interests. The results indicate that middle-aged adults are more knowledgeable in many domains, compared with younger adults. A coherent pattern of ability, personality, and interest relations is found. The results are consistent with a developmental perspective of intelligence that includes both traditional ability and non-ability determinants of intelligence during adulthood. A reassessment of the nature of intelligence in adulthood is provided, in the context of a lifelong learning and investment model, called PPIK, for intelligence-as-Process, Personality, Interests, and intelligence-as-Knowledge (Ackerman, 1996).

The influence of familial factors on the intelligence-mortality association

DEFF Research Database (Denmark)

Christensen, G. T.; Osler, M.; Madsen, M.

2017-01-01

The aim was to investigate whether the widely reported inverse intelligence-mortality association could be replicated in twin intrapair analyses in which genetic and shared environmental factors are controlled for, as per the study design. Furthermore, the issue of generalizability of twin findings......-mortality associations were replicated in intrapair analyses of all twins and DZ twins where genetic and shared familial factors were partly controlled for, as per the study design. For twin pairs with a difference in intelligence test-score of half a standard deviation or more, the proportion of twin pairs in which...

Human Capital Investment and the Value of Risky R&D Projects

DEFF Research Database (Denmark)

Dockner, Engelbert; Siyahhan, Baran

be observed during the R&D phase of the project. The exogenous value of the patent determines the firm’s decisions to invest in human capital, to abandon the project if necessary, and to invest in marketing the new product. We study the corresponding optimal stopping times, determine their value and risk...... consequences, and derive optimal investment in the stock of human capital. While optimal investment in human capital is very sensitive to its productivity do increase the probability of a breakthrough it is insensitive to changes in the volatility of the present value of the patent. The value of the firm...... is driven by fixed labor costs that occur until the breakthrough is made, the call option to invest in human capital and market the product, and the put option to abandon the project. These options together with labor costs’ based operating leverage determine the risk dynamics. Firm risk is inverse U...

Solving Complex Logistics Problems with Multi-Artificial Intelligent System

Directory of Open Access Journals (Sweden)

Y.K. Tse

2009-10-01

Full Text Available The economy, which has become more information intensive, more global and more technologically dependent, is undergoing dramatic changes. The role of logistics is also becoming more and more important. In logistics, the objective of service providers is to fulfill all customers? demands while adapting to the dynamic changes of logistics networks so as to achieve a higher degree of customer satisfaction and therefore a higher return on investment. In order to provide high quality service, knowledge and information sharing among departments becomes a must in this fast changing market environment. In particular, artificial intelligence (AI technologies have achieved significant attention for enhancing the agility of supply chain management, as well as logistics operations. In this research, a multi-artificial intelligence system, named Integrated Intelligent Logistics System (IILS is proposed. The objective of IILS is to provide quality logistics solutions to achieve high levels of service performance in the logistics industry. The new feature of this agile intelligence system is characterized by the incorporation of intelligence modules through the capabilities of the case-based reasoning, multi-agent, fuzzy logic and artificial neural networks, achieving the optimization of the performance of organizations.

The U-shaped association of body mass index with mortality: Influence of the traits height, intelligence, and education.

Science.gov (United States)

Jørgensen, Terese Sara Høj; Osler, Merete; Ängquist, Lars Henrik; Zimmermann, Esther; Christensen, Gunhild Tidemann; Sørensen, Thorkild I A

2016-10-01

The U-shaped association between body mass index (BMI) and mortality may depend on other traits with permanent health effects. Whether the association between BMI and mortality depends on levels of health-related traits known to be inversely associated with mortality throughout adult life such as height, intelligence, and education was investigated. The study was based on a cohort of young men with data on weight, height, intelligence test score, and education from the Danish Conscription Database. In total, 346,500 men born 1939 to 1959 were followed until December 2013. The association between BMI and mortality was analyzed using Cox-regression models including interactions between BMI and height, intelligence, and education, respectively. BMI and mortality showed the U-shaped association from the start of the follow-up period, and it persisted through the subsequent 56 years. As expected, the mortality was inversely associated with height, intelligence, and education, but the U shape of the association between BMI and mortality was unaffected by the levels of these traits except at higher BMI values, where the slopes were steeper for men with higher levels of height, intelligence, and education. High and low BMI was associated with higher mortality throughout life regardless of the levels of height, intelligence, and education. © 2016 The Obesity Society.

The Relative Performance of Debt-restricted Real Estate Investment Trusts (REITs): Does Faith Matter?

OpenAIRE

M. Kabir Hassan; Yasser Alhenawi; Hesham Merdad

2011-01-01

Ibrahim & Ong (2008) use operational restrictions of Islamic Investment Guidelines and conduct a thought experiment on Real Estate Investment Trusts (REITs) under restricted and non-restricted schemes. We use financial restriction and reach somewhat different results. Compliant REITs underperform non-compliant REITs in equally-weighted portfolios. However, the results are inversed in value-weighted portfolios. In the latter case, compliant REITs outperform non-compliant REITs and provide a le...

Intelligent robot trends for 1998

Science.gov (United States)

Hall, Ernest L.

1998-10-01

An intelligent robot is a remarkably useful combination of a manipulator, sensors and controls. The use of these machines in factory automation can improve productivity, increase product quality and improve competitiveness. This paper presents a discussion of recent technical and economic trends. Technically, the machines are faster, cheaper, more repeatable, more reliable and safer. The knowledge base of inverse kinematic and dynamic solutions and intelligent controls is increasing. More attention is being given by industry to robots, vision and motion controls. New areas of usage are emerging for service robots, remote manipulators and automated guided vehicles. Economically, the robotics industry now has a 1.1 billion-dollar market in the U.S. and is growing. Feasibility studies results are presented which also show decreasing costs for robots and unaudited healthy rates of return for a variety of robotic applications. However, the road from inspiration to successful application can be long and difficult, often taking decades to achieve a new product. A greater emphasis on mechatronics is needed in our universities. Certainly, more cooperation between government, industry and universities is needed to speed the development of intelligent robots that will benefit industry and society.

Prioritising Investments in Marketing Activities to Improve Business Performance

DEFF Research Database (Denmark)

Martensen, Anne; Mouritsen, Jan

2014-01-01

The purpose of this study is to prioritise investments in marketing activities based on their effect on business performance (BP). On the basis of the European Foundation for Quality Management (EFQM) model adapted to a marketing context, four generic marketing activities are structured in two...... dimensions: (1) Small m: marketing strategy and marketing implementation and (2) big M: cross-functional coordination and innovation. Big M and small m interact and influence BP similarly. When considering investing in marketing activities to improve financial performance, the first priority is to recruit...... and retain competent employees and the second, to collect, disseminate and act upon market insight in the form of measurement of effectiveness and production of intelligence. These provide resources for the development of a customer-oriented marketing strategy that in turn helps innovation and cross...

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),

The Effects of Abandonment Options on Investment Timing and Profit Sharing of FDI

Directory of Open Access Journals (Sweden)

Weiwei Zhang

2017-01-01

Full Text Available The paper incorporates cooperative game theory into a real option method in a foreign direct investment setting and examines the operational decisions of a multinational corporation in a cooperative framework, where the corporation is endowed with an abandonment option and shares its profit with the host country. In particular, we investigate how the abandonment options affect the optimal investment timing and the optimal profit share of a foreign direct investment using a real option game method. We show that the flexibility of the abandonment option induces the corporation to investment earlier, which indicates the negative effects on investment trigger. The result is consistent with intuition since the abandonment option provides insurance and thus reduces the overall risk of the project. We also find that the introduction of the abandonment option reduces the optimal profit share in a cooperative framework and in turn the lower profit share increases the investment trigger, thereby having a positive effect on the investment threshold to hinder the investment. By numerical analysis, we find that the overall effect of the abandonment options is inversely related to the investment trigger. These findings provide quantitative analysis about the decisions regarding cooperation in international investment extraction projects.

Pentaho Business Analytics: a Business Intelligence Open Source Alternative

Directory of Open Access Journals (Sweden)

Diana TÂRNĂVEANU

2012-10-01

Full Text Available Most organizations strive to obtain fast, interactive and insightful analytics in order to fundament the most effective and profitable decisions. They need to incorporate huge amounts of data in order to run analysis based on queries and reports with collaborative capabilities. The large variety of Business Intelligence solutions on the market makes it very difficult for organizations to select one and evaluate the impact of the selected solution to the organization. The need of a strategy to help organization chose the best solution for investment emerges. In the past, Business Intelligence (BI market was dominated by closed source and commercial tools, but in the last years open source solutions developed everywhere. An Open Source Business Intelligence solution can be an option due to time-sensitive, sprawling requirements and tightening budgets. This paper presents a practical solution implemented in a suite of Open Source Business Intelligence products called Pentaho Business Analytics, which provides data integration, OLAP services, reporting, dashboarding, data mining and ETL capabilities. The study conducted in this paper suggests that the open source phenomenon could become a valid alternative to commercial platforms within the BI context.

Inverse Statistics in the Foreign Exchange Market

OpenAIRE

Jensen, M. H.; Johansen, A.; Petroni, F.; Simonsen, I.

2004-01-01

We investigate intra-day foreign exchange (FX) time series using the inverse statistic analysis developed in [1,2]. Specifically, we study the time-averaged distributions of waiting times needed to obtain a certain increase (decrease) $\\rho$ in the price of an investment. The analysis is performed for the Deutsch mark (DM) against the $US for the full year of 1998, but similar results are obtained for the Japanese Yen against the $US. With high statistical significance, the presence of "reson...

The Dimensions of Organizational Intelligence in Romanian Companies – A Human Capital Perspective

Directory of Open Access Journals (Sweden)

Viorel Lefter

2008-10-01

Full Text Available The paper discusses the perceptions of organizational intelligence dimensions in Romanian companies, taking into account the degree of awareness employees have, in relation to this concept, and the overall investments in R&D at the industry level. Starting from the concept of organizational intelligence, the way it is defined in recent literature, we establish seven dimensions which are relevant for its analysis, and test them on a relevant sample, random stratified, of Romanian companies, reflecting the structure of Romanian economy, and all the layers of company size. We examine, thus, the correlation between the quality of the organizational human capital (the individual intelligence and the learning processes, at the organizational level. The results of the study can be further expanded to analyses of the regions of development, by correlating the dimensions of the organizational intelligence with the macro-economic, developmental indicators.

Investment Decision Support for Engineering Projects Based on Risk Correlation Analysis

Directory of Open Access Journals (Sweden)

Yan Liu

2012-01-01

Full Text Available Investment decisions are usually made on the basis of the subjective judgments of experts subjected to the information gap during the preliminary stages of a project. As a consequence, a series of errors in risk prediction and/or decision-making will be generated leading to out of control investment and project failure. In this paper, the variable fuzzy set theory and intelligent algorithms integrated with case-based reasoning are presented. The proposed algorithm manages the numerous fuzzy concepts and variable factors of a project and also sets up the decision-making process in accordance with past cases and experiences. Furthermore, it decreases the calculation difficulty and reduces the decision-making reaction time. Three types of risk correlations combined with different characteristics of engineering projects are summarized, and each of these correlations is expounded at the project investment decision-making stage. Quantitative and qualitative change theories of variable fuzzy sets are also addressed for investment risk warning. The approach presented in this paper enables the risk analysis in a simple and intuitive manner and realizes the integration of objective and subjective risk assessments within the decision-makers' risk expectation.

Chinese investment in the EU renewable energy sector: Motives, synergies and policy implications

International Nuclear Information System (INIS)

Curran, Louise; Lv, Ping; Spigarelli, Francesca

2017-01-01

This paper addresses three questions: how have trade and investment in wind and solar sectors evolved between the EU and China in recent years? Is there a link between rising trade conflicts and trade and investment trends? And what wider motivations and synergies can be identified in Chinese investments in the EU's RE sector? To address these questions we analyze trade and investment data, as well as qualitative data, including information from media and company reports. Large increases in trade and investment were followed by rapid falls since 2012–13. Trade tensions have not led to increases in investment, rather the inverse. We find that Chinese investment in these two sectors is very concentrated in Germany. The key motivation for investment is market seeking, although R+D is also important, especially for wind. Most investments are greenfield, a preference that has persisted over time. Our qualitative analysis of several key acquisitions indicates that technology integration and the consolidation of capacities across the supply chain were key motivations in most of the cases studied. We conclude with some policy orientations. - Highlights: • Chinese investments in solar and wind in Europe are concentrated in Germany. • Large increases in trade and investment were followed by rapid falls since 2012–13. • These falls seem to be related to market difficulties. • Key investment entry mode is greenfield and motivation is market seeking. • In acquisitions, technology seeking plays a key role.

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 ...

Investment Cost Model in Business Process Intelligence in Banking And Electricity Company

Directory of Open Access Journals (Sweden)

Arta Moro Sundjaja

2016-06-01

Full Text Available Higher demand from the top management in measuring business process performance causes the incremental implementation of BPM and BI in the enterprise. The problem faced by top managements is how to integrate their data from all system used to support the business and process the data become information that able to support the decision-making processes. Our literature review elaborates several implementations of BPI on companies in Australia and Germany, challenges faced by organizations in developing BPI solution in their organizations and some cost model to calculate the investment of BPI solutions. This paper shows the success in BPI application of banks and assurance companies in German and electricity work in Australia aims to give a vision about the importance of BPI application. Many challenges in BPI application of companies in German and Australia, BPI solution, and data warehouse design development have been discussed to add insight in future BPI development. And the last is an explanation about how to analyze cost associated with BPI solution investment.

ORTHO IMAGE AND DTM GENERATION WITH INTELLIGENT METHODS

Directory of Open Access Journals (Sweden)

H. Bagheri

2013-10-01

Finally the artificial intelligence methods, like genetic algorithms as well as neural networks, were examined on sample data for optimizing interpolation and for generating Digital Terrain Models. The results then were compared with existing conventional methods and it appeared that these methods have a high capacity in heights interpolation and that using these networks for interpolating and optimizing the weighting methods based on inverse distance leads to a high accurate estimation of heights.

Association between water fluoride and the level of children's intelligence: a dose-response meta-analysis.

Science.gov (United States)

Duan, Q; Jiao, J; Chen, X; Wang, X

2018-01-01

Higher fluoride concentrations in water have inconsistently been associated with the levels of intelligence in children. The following study summarizes the available evidence regarding the strength of association between fluoridated water and children's intelligence. Meta-analysis. PubMed, Embase, and Cochrane Library databases were systematically analyzed from November 2016. Observational studies that have reported on intelligence levels in relation to high and low water fluoride contents, with 95% confidence intervals (CIs) were included. Further, the results were pooled using inverse variance methods. The correlation between water fluoride concentration and intelligence level was assessed by a dose-response meta-analysis. Twenty-six studies reporting data on 7258 children were included. The summary results indicated that high water fluoride exposure was associated with lower intelligence levels (standardized mean difference : -0.52; 95% CI: -0.62 to -0.42; P intelligence (P intelligence levels. Greater exposure to high levels of fluoride in water was significantly associated with reduced levels of intelligence in children. Therefore, water quality and exposure to fluoride in water should be controlled in areas with high fluoride levels in water. Copyright © 2017. Published by Elsevier Ltd.

Airline company management: 'Defining of necessary number of employees in airline by using artificial intelligence tools'

OpenAIRE

Petrović, Dragan M.; Puharic, Mirjana A.; Jovanović, Tomislav Ž.

2015-01-01

In this paper the model for preliminary estimation of number of employees in airline by using of artificial intelligence tools. It is assumed that the tools of artificial intelligence can be applied even for complex tasks such as defining the number of employees in the airline. The results obtained can be used for planning the number of employees, ie. planning the necessary financial investments in human resources, and may also be useful for a preliminary analysis of the airlines that choose ...

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.

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,...

Intelligent Buildings: Key to Achieving Total Sustainability in the Built Environment

Directory of Open Access Journals (Sweden)

Tulika Gadakari

2014-01-01

Full Text Available ‘Are intelligent buildings a pragmatic approach towards achieving a sustainable built environment?’ is the research question that this review article aims to answer. It has been argued that there is a serious need for intelligent buildings to be evaluated against the parameters of total sustainability (environmental, economic and social so as to help the agenda of living in a technologically advanced, healthy and comfortable world. This paper reviews existing theoretical concepts of intelligence and sustainability in the built environment, through an exploration of various scientific literature and U.S Green Building Council’s LEED (Leadership in Energy and Environmental Design databases. A systematic qualitative review approach has been employed to select an appropriate definition of sustainable development and use it as a theoretical framework to assess the technological impact of intelligent buildings on the environmental, economic and social front. Subsequently five case study buildings from around the world, which exemplify the use of intelligent technologies to achieve sustainable gains were chosen and analyzed to further validate the literature findings. Outputs from the study highlight the various benefits of intelligent buildings, which include decrease in energy and water consumption, operational costs, as well as increase in productivity and investments. Additionally the analysis of the case studies revealed that the use of intelligent building technologies has contributed significantly towards a higher sustainability rating on the LEED rating scale. Moreover, the comparison of the attributes of intelligent buildings and sustainable practices in buildings, illustrates the fact that there is a considerable overlap between the two and intelligence can aid sustainability in the built environment. Thus the research suggests that green technologies and intelligence in combination may be a pragmatic approach towards the sustainability

Artificial intelligence in gas plant operation help; L'intelligence artificielle dans l'aide a l'exploitation des installations gazieres

Energy Technology Data Exchange (ETDEWEB)

Pietrzak, J.M. [Gaz de France (GDF), Centre d' Expertise Operationnelle et de Service, Dir. de la Production et du Transport, 75 - Paris (France)

2000-07-01

The problems encountered in activities associated with the life cycle of gas plants - in the core business sectors of GDF- demonstrate the need to access this know how in a practical and efficient way for an optimise use and operation of these gas plants. Simulation is an excellent tool for integration and transfer of this know-how. It requires to use methods and technologies of Artificial Intelligence and objects in particular. The operation help tools and prototypes have been developed with the co-operation and investment of a little software company and derive from the commitment and desire of a number of experts and their senior managers to prepare the future and invest in the durability of know-how in the company's core business sectors. (author)

The hydroelectric power plant as a project of private investment; La central hidroelectrica como proyecto de inversion privada

Energy Technology Data Exchange (ETDEWEB)

Guerra, Eduardo [Industrias Metalurgicas Pescarmona S.A. (IMPSA), Mendoza (Argentina)]. E-mail: guerra@impsa.com.ar

2001-07-01

The paper describes the process to be followed for the performance, construction and operation of a hydroelectric investment from the view point of a private investor. The paper demonstrates that it is possible to finance the project through the 'project finance', where the finance has as guarantee the own assets and the fund fluxes of the investment.

Integrated Portfolio Analysis: Return on Investment and Real Options Analysis of Intelligence Information Systems (Cryptologic Carry On Program)

National Research Council Canada - National Science Library

Rios, Jr., Cesar G; Housel, Thomas; Mun, Johnathan

2006-01-01

...) on individual projects, programs, and processes within a portfolio of IT investments. Using KVA historical data as a platform, the authors evaluate potential strategic investments with real options analysis...

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 ...

SOME PARADIGMS OF ARTIFICIAL INTELLIGENCE IN FINANCIAL COMPUTER SYSTEMS

Directory of Open Access Journals (Sweden)

Jerzy Balicki

2015-12-01

Full Text Available The article discusses some paradigms of artificial intelligence in the context of their applications in computer financial systems. The proposed approach has a significant po-tential to increase the competitiveness of enterprises, including financial institutions. However, it requires the effective use of supercomputers, grids and cloud computing. A reference is made to the computing environment for Bitcoin. In addition, we characterized genetic programming and artificial neural networks to prepare investment strategies on the stock exchange market.

An inverse method for calculation of thermal inertia and heat gain in air conditioning and refrigeration systems

International Nuclear Information System (INIS)

Fayazbakhsh, M.A.; Bagheri, F.; Bahrami, M.

2015-01-01

Highlights: • An inverse method is proposed to calculate thermal inertia in HVAC-R systems. • Real-time thermal loads are estimated using the proposed intelligent algorithm. • Calculation algorithm is validated with on-site measurements. • Freezer duty cycle data are extracted only based on temperature measurements. - Abstract: A new inverse method is proposed for estimation of thermal inertia and heat gain in air conditioning and refrigeration systems using on-site temperature measurements. The method is applied on a walk-in freezer room of a restaurant in Surrey, British Columbia, Canada during one week of its regular operation. The thermal inertia and instantaneous heat gain are calculated and the results are validated using actual information of the materials inside the freezer room. The proposed method can be implemented in intelligent control systems designed for new and existing HVAC-R systems to improve their overall energy efficiency and reduce their environmental impacts

Leveraging business intelligence to make better decisions: Part II.

Science.gov (United States)

Reimers, Mona

2014-01-01

This article is the second in a series about business intelligence (BI) in a medical practice. The first article reviewed the evolution of data reporting within the industry and provided some examples of how BI concepts differ from the reports available in the menus of our software systems, or the dashboards and scorecards practices have implemented. This article will discuss how to begin a BI initiative for front-end medical practice staffers that will create tools they can use to reduce errors and increase efficiency throughout their workday. This type of BI rollout can allow practices to get started with very little financial investment, gain enthusiasm from end users, and achieve a quick return on investment. More examples of successful BI projects in medical practices are discussed to help illustrate BI concepts.

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.

Relations between the development of school investment, self-confidence, and language achievement in elementary education: A multivariate latent growth curve approach

NARCIS (Netherlands)

Stoel, R.D.; Peetsma, T.T.D.; Roeleveld, J.

2001-01-01

Latent growth curve (LGC) analysis of longitudinal data for pupils' school investment, self confidence and language ability is presented. A multivariate model is tested that relates the three developmental processes to each other and to intelligence. All processes show significant differences

Towards a nuclear industry boosted by artificial intelligence?

International Nuclear Information System (INIS)

Le Ngoc, B.

2017-01-01

Artificial intelligence (AI) is deemed as the fourth industrial revolution after the steam engine, electric power and the computer. Auto manufacturers invest a lot in AI to develop autonomous vehicles. Nuclear industry that has to deal with a huge amount of data due to the complexity of its installations may benefit from AI in terms of quick handling of complex situations, of reducing the rate of errors, of drawing adequate conclusions through the right crossing of data and of improving decision making. (A.C.)

Understanding and Applying Emotional Intelligence: A Qualitative Study of Tampa Veterans Administration Hospital Employees

Science.gov (United States)

Johnson, Brenda Webb

2017-01-01

Emotional intelligence (EI) has not been studied extensively within the Veterans' Health Administration (VHA). The VHA is the largest healthcare organization in America with over 360,000 employees and the organization invests heavily in competency development. The Tampa VA is a level 1 facility with over 5,000 employees in the Tampa Bay area. The…

Sustainable Markets Investment Briefings: Investment Treaties

Energy Technology Data Exchange (ETDEWEB)

Cotula, Lorenzo

2007-08-15

This is the second of a series of briefings which discuss the sustainable development issues raised by legal arrangements for the protection of foreign investment. The briefings are based on legal research by IIED and its partners. The goal is to provide accessible but accurate information for human rights, development and environmental organisations working on issues raised by foreign investment in low- and middle-income countries. Briefing 2 explains how investment treaties between states work to protect and promote foreign investment.

PERCEIVED EMOTIONAL INTELLIGENCE AS A MODERATOR VARIABLE BETWEEN CYBERVICTIMIZATION AND ITS EMOTIONAL IMPACT

Directory of Open Access Journals (Sweden)

Paz eElipe

2015-04-01

Full Text Available The negative effects of traditional bullying and, recently, cyberbullying on victims are well documented, and abundant empirical evidence for it exists. Cybervictimization affects areas such as academic performance, social integration and self-esteem, and causes emotions ranging from anger and sadness to more complex problems such as depression. However, not all victims are equally affected, and the differences seem to be due to certain situational and personal characteristics. The objective of this study is to analyze the relationship between perceived emotional intelligence and the emotional impact of cybervictimization. We hypothesize that emotional intelligence, which has previously been found to play a role in traditional bullying and cyberbullying, may also affect the emotional impact of cyberbullying.The participants in our study were 636 university students from two universities in the south of Spain. Three self-report questionnaires were used: the European Cyberbullying Intervention Project Questionnaire, the Cyberbullying Emotional Impact Scale; and Trait Meta-Mood Scale-24. Structural Equation Models were used to test the relationships between the analyzed variables.The results support the idea that perceived emotional intelligence, by way of a moderator effect, affects the relationship between cybervictimization and emotional impact. Taken together, cybervictimization and perceived emotional intelligence explain much of the variance observed in the emotional impact in general and in the negative dimensions of that impact in particular. Attention and Repair were found to be inversely related to Annoyance and Dejection, and positively related to Invigoration. Clarity has the opposite pattern; a positive relationship with Annoyance and Dejection and an inverse relationship with Invigoration. Various hypothetical explanations of these patterns are discussed.

Investment innovation trends: Factor-based investing

Directory of Open Access Journals (Sweden)

Sanja Centineo

2017-05-01

Full Text Available This article shows that it can take a long period of time until research knowledge finds its application in practice and get disseminated as innovation trend. Factor-based investing is such an example. Having its developing roots in the nineties, it took more than two decades until this approach was detected by the by investment community. The goal of this article is to recall the definition of factor investing, present its historical evolvement and motivate its recent break-through and current trend among investment practitioners (known also under the notion smart beta. It aims at familiarizing with this investment approach from a practical perspective and highlighting its diversifying benefits in a portfolio context with the potential to outperform the market on risk-adjusted basis.

Assessing the capital efficiency of healthcare information technologies investments: an econometric perspective.

Science.gov (United States)

Meyer, Rodolphe; Degoulet, Patrice

2008-01-01

To examine the different methods that can be used in the quantification of the added value of information technologies (IT) in the health care sector. This quantification represents a major issue for decision-makers and health care professionals when they have to plan an IT investment. Articles were chosen via Medline, internet and the University of Geneva bibliographic portal. Some of the papers were obtained directly from their authors. We examine the most current methods used to evaluate IT return on investment (ROI) in the general business and in the health care sector, drawing attention on methods traditionally used in macroeconomic studies that could reveal themselves disruptive for IT ROI impact evaluation in hospitals. Financial and accounting methods can provide interesting data on a specific IT project but are usually incomplete for revealing the global IT investment influence. Econometric methods tend to demonstrate the positive impact of health care IT (HIT) on hospital production and productivity. Hospitals having higher levels of IT investment tend to deliver a higher level of clinical quality and show improved hospital cost performances. Information technologies are so intermingled with people and processes that the identification of specific IT benefit remains questionable. Using macroeconomic tools could be the best way to analyze and compute IT ROI in health care. Econometric tools take into account all types investments (inputs) and all the returns (outputs) enabling the precise measurement of IT investments impact, breakeven points, and possible threshold levels, thus providing helpful intelligence to reach the higher levels of IT governance in hospitals.

Environmental proxies of antigen exposure explain variation in immune investment better than indices of pace of life

NARCIS (Netherlands)

Horrocks, Nicholas P. C.; Hegemann, Arne; Ostrowski, Stephane; Ndithia, Henry; Shobrak, Mohammed; Williams, Joseph B.; Matson, Kevin D.; Tieleman, B. I.

Investment in immune defences is predicted to covary with a variety of ecologically and evolutionarily relevant axes, with pace of life and environmental antigen exposure being two examples. These axes may themselves covary directly or inversely, and such relationships can lead to conflicting

Environmental proxies of antigen exposure explain variation in immune investment better than indices of pace of life

NARCIS (Netherlands)

Horrocks, N.P.C.; Hegemann, A.; Ostrowski, S.; Ndithia, H.; Shobrak, M.; Williams, J.B.; Matson, K.D.; Tieleman, B.I.

2015-01-01

Investment in immune defences is predicted to covary with a variety of ecologically and evolutionarily relevant axes, with pace of life and environmental antigen exposure being two examples. These axes may themselves covary directly or inversely, and such relationships can lead to conflicting

An Intelligent Systems Approach to Reservoir Characterization

Energy Technology Data Exchange (ETDEWEB)

Shahab D. Mohaghegh; Jaime Toro; Thomas H. Wilson; Emre Artun; Alejandro Sanchez; Sandeep Pyakurel

2005-08-01

Today, the major challenge in reservoir characterization is integrating data coming from different sources in varying scales, in order to obtain an accurate and high-resolution reservoir model. The role of seismic data in this integration is often limited to providing a structural model for the reservoir. Its relatively low resolution usually limits its further use. However, its areal coverage and availability suggest that it has the potential of providing valuable data for more detailed reservoir characterization studies through the process of seismic inversion. In this paper, a novel intelligent seismic inversion methodology is presented to achieve a desirable correlation between relatively low-frequency seismic signals, and the much higher frequency wireline-log data. Vertical seismic profile (VSP) is used as an intermediate step between the well logs and the surface seismic. A synthetic seismic model is developed by using real data and seismic interpretation. In the example presented here, the model represents the Atoka and Morrow formations, and the overlying Pennsylvanian sequence of the Buffalo Valley Field in New Mexico. Generalized regression neural network (GRNN) is used to build two independent correlation models between; (1) Surface seismic and VSP, (2) VSP and well logs. After generating virtual VSP's from the surface seismic, well logs are predicted by using the correlation between VSP and well logs. The values of the density log, which is a surrogate for reservoir porosity, are predicted for each seismic trace through the seismic line with a classification approach having a correlation coefficient of 0.81. The same methodology is then applied to real data taken from the Buffalo Valley Field, to predict inter-well gamma ray and neutron porosity logs through the seismic line of interest. The same procedure can be applied to a complete 3D seismic block to obtain 3D distributions of reservoir properties with less uncertainty than the geostatistical

Intelligent behaviors through vehicle-to-vehicle and vehicle-to-infrastructure communication

Science.gov (United States)

Garcia, Richard D.; Sturgeon, Purser; Brown, Mike

2012-06-01

The last decade has seen a significant increase in intelligent safety devices on private automobiles. These devices have both increased and augmented the situational awareness of the driver and in some cases provided automated vehicle responses. To date almost all intelligent safety devices have relied on data directly perceived by the vehicle. This constraint has a direct impact on the types of solutions available to the vehicle. In an effort to improve the safety options available to a vehicle, numerous research laboratories and government agencies are investing time and resources into connecting vehicles to each other and to infrastructure-based devices. This work details several efforts in both the commercial vehicle and the private auto industries to increase vehicle safety and driver situational awareness through vehicle-to-vehicle and vehicle-to-infrastructure communication. It will specifically discuss intelligent behaviors being designed to automatically disable non-compliant vehicles, warn tractor trailer vehicles of unsafe lane maneuvers such as lane changes, passing, and merging, and alert drivers to non-line-of-sight emergencies.

Investment shocks and the relative price of investment

OpenAIRE

Justiniano, Alejandro; Primiceri, Giorgio E.; Tambalotti, Andrea

2009-01-01

We estimate a New-Neoclassical Synthesis model of the business cycle with two investment shocks. The first, an investment-specific technology shock, affects the transformation of consumption into investment goods and is identified with the relative price of investment. The second shock affects the production of installed capital from investment goods or, more broadly, the transformation of savings into future capital input. We find that this shock is the most important driver of U.S. business...

ARTIFICIAL INTELLIGENCE CAPABILITIES FOR INCREASING ORGANIZATIONAL-TECHNOLOGICAL RELIABILITY OF CONSTRUCTION

Directory of Open Access Journals (Sweden)

Ginzburg Alexander Vital`evich

2018-02-01

Full Text Available The technology of artificial intelligence is actively being mastered in the world but there is not much talk about the capabilities of artificial intelligence in construction industry and this issue requires additional elaboration. As a rule, the decision to invest in a particular construction project is made on the basis of an assessment of the organizational and technological reliability of the construction process. Artificial intelligence can be a convenient quality tool for identifying, analyzing and subsequent control of the “pure” risks of the construction project, which not only will significantly reduce the financial and time expenditures for the investor’s decision-making process but also improve the organizational-technological reliability of the construction process as a whole. Subject: the algorithm of creation of artificial intelligence in the field of identification and analysis of potential risk events is presented, which will facilitate the creation of an independent analytical system for different stages of construction production: from the sketch to the working documentation and conduction of works directly on the construction site. Research objectives: the study of the possibility, methods and planning of the algorithm of works for creation of artificial intelligence technology in order to improve the organizational-technological reliability of the construction process. Materials and methods: the developments in the field of improving the organizational and technological reliability of construction were studied through the analysis and control of potential “pure” risks of the construction project, and the work was also carried out to integrate the technology of artificial intelligence into the area being studied. Results: An algorithm for creating artificial intelligence in the field of identification of potential “pure” risks of construction projects was presented. Conclusions: the obtained results are useful

Investigation on the Inversion of the Atmospheric Duct Using the Artificial Bee Colony Algorithm Based on Opposition-Based Learning

Directory of Open Access Journals (Sweden)

Chao Yang

2016-01-01

Full Text Available The artificial bee colony (ABC algorithm is a recently introduced optimization method in the research field of swarm intelligence. This paper presents an improved ABC algorithm named as OGABC based on opposition-based learning (OBL and global best search equation to overcome the shortcomings of the slow convergence rate and sinking into local optima in the process of inversion of atmospheric duct. Taking the inversion of the surface duct using refractivity from clutter (RFC technique as an example to validate the performance of the proposed OGABC, the inversion results are compared with those of the modified invasive weed optimization (MIWO and ABC. The radar sea clutter power calculated by parabolic equation method using the simulated and measured refractivity profile is utilized to carry out the inversion of the surface duct, respectively. The comparative investigation results indicate that the performance of OGABC is superior to that of MIWO and ABC in terms of stability, accuracy, and convergence rate during the process of inversion.

Japanese investment in Peru: limits of developmental investment

OpenAIRE

Kamiya, Marco

2004-01-01

Japanese Investment in Latin America was considerable in the 1960s and 1970s, but the investment never took off in the developmental style as in East Asia. The author examines why Japanese Foreign Direct Investment in Peru did not follow the pattern of developmental investment, analyzing the elements involved regarding policies in Peru and particular circumstances in Japan in the 1990 decade.

Affordable and personalized lighting using inverse modeling and virtual sensors

Science.gov (United States)

Basu, Chandrayee; Chen, Benjamin; Richards, Jacob; Dhinakaran, Aparna; Agogino, Alice; Martin, Rodney

2014-03-01

Wireless sensor networks (WSN) have great potential to enable personalized intelligent lighting systems while reducing building energy use by 50%-70%. As a result WSN systems are being increasingly integrated in state-ofart intelligent lighting systems. In the future these systems will enable participation of lighting loads as ancillary services. However, such systems can be expensive to install and lack the plug-and-play quality necessary for user-friendly commissioning. In this paper we present an integrated system of wireless sensor platforms and modeling software to enable affordable and user-friendly intelligent lighting. It requires ⇠ 60% fewer sensor deployments compared to current commercial systems. Reduction in sensor deployments has been achieved by optimally replacing the actual photo-sensors with real-time discrete predictive inverse models. Spatially sparse and clustered sub-hourly photo-sensor data captured by the WSN platforms are used to develop and validate a piece-wise linear regression of indoor light distribution. This deterministic data-driven model accounts for sky conditions and solar position. The optimal placement of photo-sensors is performed iteratively to achieve the best predictability of the light field desired for indoor lighting control. Using two weeks of daylight and artificial light training data acquired at the Sustainability Base at NASA Ames, the model was able to predict the light level at seven monitored workstations with 80%-95% accuracy. We estimate that 10% adoption of this intelligent wireless sensor system in commercial buildings could save 0.2-0.25 quads BTU of energy nationwide.

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...

An Intelligent Model for Pairs Trading Using Genetic Algorithms.

Science.gov (United States)

Huang, Chien-Feng; Hsu, Chi-Jen; Chen, Chi-Chung; Chang, Bao Rong; Li, Chen-An

2015-01-01

Pairs trading is an important and challenging research area in computational finance, in which pairs of stocks are bought and sold in pair combinations for arbitrage opportunities. Traditional methods that solve this set of problems mostly rely on statistical methods such as regression. In contrast to the statistical approaches, recent advances in computational intelligence (CI) are leading to promising opportunities for solving problems in the financial applications more effectively. In this paper, we present a novel methodology for pairs trading using genetic algorithms (GA). Our results showed that the GA-based models are able to significantly outperform the benchmark and our proposed method is capable of generating robust models to tackle the dynamic characteristics in the financial application studied. Based upon the promising results obtained, we expect this GA-based method to advance the research in computational intelligence for finance and provide an effective solution to pairs trading for investment in practice.

Investment Strategy and Efficiency of Investment Activity of European Insurers

Directory of Open Access Journals (Sweden)

Zhabynets Olga Yo.

2014-02-01

Full Text Available The article studies investment strategy and efficiency of investment activity of European insurance companies. In particular, it analyses the share of investments of insurance companies of Europe in GDP, investment portfolio of European insurers and its structure, contribution of insurance companies – leaders of investment activity – into the European investment portfolio. It studies influence of the financial crisis upon investment strategy of European insurers and analyses efficiency of investment activity of European insurers in risk insurance and life insurance. The article proves that investment business models of insurance companies are capable of resisting crisis phenomena more efficiently than other financial institutions. It marks out that measures of insurance companies that are directed at increase of profitability of investments require from them both significant expenditures on creation of the system of investment risk management and open access to different categories of financial assets and markets, which influences the general risk level, taken upon by an insurance company. The author draws a conclusion that, taking into account recent developments, European insurers should focus on equity and investment risk management, finding new possibilities for their (investments growth and also adaptation of new systems and operations for solution of these important tasks.

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.

Reproductive Investment and Health Costs in Roma Women

Directory of Open Access Journals (Sweden)

Jelena Čvorović

2017-11-01

Full Text Available In this paper, we examine whether variation in reproductive investment affects the health of Roma women using a dataset collected through original anthropological fieldwork among Roma women in Serbia. Data were collected in 2014–2016 in several Roma semi-urban settlements in central Serbia. The sample consisted of 468 Roma women, averaging 44 years of age. We collected demographic data (age, school levels, socioeconomic status, risk behaviors (smoking and alcohol consumption, marital status, and reproductive history variables (the timing of reproduction, the intensity of reproduction, reproductive effort and investment after birth, in addition to self-reported health, height, and weight. Data analyses showed that somatic, short-term costs of reproduction were revealed in this population, while evolutionary, long-term costs were unobservable—contrariwise, Roma women in poor health contributed more to the gene pool of the next generation than their healthy counterparts. Our findings appear to be consistent with simple trade-off models that suggest inverse relationships between reproductive effort and health. Thus, personal sacrifice—poor health as an outcome—seems crucial for greater reproductive success.

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...

Measuring Emotional Intelligence Enhances the Psychological Evaluation of Chronic Pain.

Science.gov (United States)

Doherty, Eva M; Walsh, Rosemary; Andrews, Leanne; McPherson, Susan

2017-12-01

The assessment of emotional factors, in addition to other psychosocial factors, has been recommended as a means of identifying individuals with chronic pain who may not respond to certain pain treatments. Systematic reviews of the evidence regarding the prediction of responsiveness to a treatment called the spinal cord stimulator (SCS) have yielded inconclusive results. Emotional intelligence is a term which refers to the ability to identify and manage emotions in oneself and others and has been shown to be inversely associated with emotional distress and acute pain. This study aims to investigate the relationship between emotional intelligence, chronic pain, and the more established psychosocial factors usually used for SCS evaluations by clinical psychologists in medical settings. A sample of 112 patients with chronic pain on an acute hospital waiting list for SCS procedures in a pain medicine service were recruited. Psychological measures were completed including: a novel measure of emotional intelligence; usual measures of emotional distress and catastrophizing; and a numerical rating scale designed to assess pain intensity, pain-related distress, and interference. As predicted, findings revealed significant associations between most of the measures analyzed and current pain intensity. When entered into a simultaneous regression analysis, emotional intelligence scores remained the only significant predictor of current pain intensity. There are potential clinical, ethical, and organizational implications of emotional intelligence processes partially predicting pain in patients on a waiting list for a medical procedure. These results may offer new insight, understanding, and evaluation targets for clinical psychologists in the field of pain management.

Airline company management: 'Defining of necessary number of employees in airline by using artificial intelligence tools'

Directory of Open Access Journals (Sweden)

Petrović Dragan M.

2015-01-01

Full Text Available In this paper the model for preliminary estimation of number of employees in airline by using of artificial intelligence tools. It is assumed that the tools of artificial intelligence can be applied even for complex tasks such as defining the number of employees in the airline. The results obtained can be used for planning the number of employees, ie. planning the necessary financial investments in human resources, and may also be useful for a preliminary analysis of the airlines that choose to do restructuring or plan to increase/decrease the number of operations. Results were compared with those obtained by regression analysis.

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...

Investments

CERN Document Server

Bodie, Zvi

2013-01-01

The integrated solutions for Bodie, Kane, and Marcus' Investments set the standard for graduate/MBA investments textbooks. The unifying theme is that security markets are nearly efficient, meaning that most securities are priced appropriately given their risk and return attributes. The content places greater emphasis on asset allocation and offers a much broader and deeper treatment of futures, options, and other derivative security markets than most investment texts. McGraw-Hill's adaptive learning component, LearnSmart, provides assignable modules that help students master chapter core concepts and come to class more prepared. Bodie Investments' blend of practical and theoretical coverage combines with a complete digital solution to help your students achieve higher outcomes in the course

The Impact of Business Intelligence Tools on Performance: A User Satisfaction Paradox?

OpenAIRE

Bernhard Wieder; Maria-Luise Ossimitz; Peter Chamoni

2012-01-01

While Business Intelligence (BI) initiatives have been a top-priority of CIOs around the world for several years, accounting for billions of USD of IT investments per annum (IDC), academic research on the actual benefits derived from BI tools and the drivers of these benefits remain sparse. This paper reports the findings of an exploratory, cross-sectional field study investigating the factors that define and drive benefits associated with the deployment of dedicated BI tools. BI is broadly d...

Investment Avenues

Science.gov (United States)

Jain, Priyanka

2012-11-01

Investors are a heterogeneous group, they may be large or small, rich or poor, expert or lay man and not all investors need equal degree of protection (Mayya, 1996). An investor has three objectives while investing his money, namely safety of invested money, liquidity position of invested money and return on investment. The return on investment may further be divided into capital gain and the rate of return on investment as interest or dividend. Among all investment options available, securities are considered the most challenging as well as rewarding. Securities include shares, debentures, derivatives, units of mutual funds, Government securities etc. An investor may be an individual or corporate legal entity investing funds with a view to derive maximum economic advantage from investment such as rate of return, capital appreciation, marketability, tax advantage and convenience of investment.The Capital market facilitates mobilization of savings of individuals and pools them into reservoir of capital which can be used for the economic development of a country. An efficient capital market is essential for raising capital by the corporate sector of the economy and for the protection of the interest of investors in corporate securities. There arises a need to strike a balance between raising of capital for economic development on one side and protection of investors on the other. Unless the interests of investors are protected, raising of capital, by corporates is not possible. Like, the primary objective of a senior citizenís asset allocation is the generation of regular income.

Are Foreign Investments Replacing Domestic Investments? - Evidence from Finnish Manufacturing

OpenAIRE

Oksanen, Olli-Pekka

2006-01-01

This study analyses the relationship between firms’ foreign and domestic investments using a panel dataset containing 218 Finnish manufacturing firms during the years 1998-2002. The study examines whether foreign investments increase or decrease domestic investments and whether the effect varies between investments directed to developed markets or emerging markets. Financial constraints’ effect on the relationship is also investigated. The empirical part estimates an empirical investment equa...

Foreign Direct Investment versus Portfolio Investment : A Global Games Approach

OpenAIRE

Yamin Ahmad; Pietro Cova; Rodrigo Harrison

2004-01-01

We present a model of investment under uncertainty about fundamentals, using a global games approach. Goldstein & Razin (2003) show that there is an information based trade-off between foreign direct investment (FDI) and portfolio investment (PI) which rationalizes some well known stylised facts in the literature - the relative volatility and reversibility of foreign direct investment versus portfolio investment. We extend their result and show that uncertainty about fundamentals does not imp...

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…

THE BORDER BETWEEN BUSINESS INTELLIGENCE AND PSYCHOLOGY- SEGMENTATION BASED ON CUSTOMER BEHAVIOR

Directory of Open Access Journals (Sweden)

Student Codrin POPA

2010-01-01

Full Text Available In today’s economy, marketers have been facing two challenging trends: fierce competition between companies offering essentially similar products, and dealing with customers that are increasingly informed and demanding, but less and less loyal. Under these conditions, it has become imperative for managers and for marketing professionals to invest in business intelligence in order to find patterns in the consumers’ behavior that could predict their future buying decisions. In this report we have presented how Decision Support Systems, data analysis and customer segmentation can help companies to know their customers better in order to predict (and influence their future actions. At the same time, we have argued that Business Intelligence should meet psychology and neurology halfway, and accept that there is a very high emotional subconscious component that produces a high degree of unpredictability in consumers’ behavior.

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

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...

Naturalist Intelligence Among the Other Multiple Intelligences [In Bulgarian

Directory of Open Access Journals (Sweden)

R. Genkov

2007-09-01

Full Text Available The theory of multiple intelligences was presented by Gardner in 1983. The theory was revised later (1999 and among the other intelligences a naturalist intelligence was added. The criteria for distinguishing of the different types of intelligences are considered. While Gardner restricted the analysis of the naturalist intelligence with examples from the living nature only, the present paper considered this problem on wider background including objects and persons of the natural sciences.

Artificial intelligence

CERN Document Server

Hunt, Earl B

1975-01-01

Artificial Intelligence provides information pertinent to the fundamental aspects of artificial intelligence. This book presents the basic mathematical and computational approaches to problems in the artificial intelligence field.Organized into four parts encompassing 16 chapters, this book begins with an overview of the various fields of artificial intelligence. This text then attempts to connect artificial intelligence problems to some of the notions of computability and abstract computing devices. Other chapters consider the general notion of computability, with focus on the interaction bet

Intelligence Ethics:

DEFF Research Database (Denmark)

Rønn, Kira Vrist

2016-01-01

Questions concerning what constitutes a morally justified conduct of intelligence activities have received increased attention in recent decades. However, intelligence ethics is not yet homogeneous or embedded as a solid research field. The aim of this article is to sketch the state of the art...... of intelligence ethics and point out subjects for further scrutiny in future research. The review clusters the literature on intelligence ethics into two groups: respectively, contributions on external topics (i.e., the accountability of and the public trust in intelligence agencies) and internal topics (i.......e., the search for an ideal ethical framework for intelligence actions). The article concludes that there are many holes to fill for future studies on intelligence ethics both in external and internal discussions. Thus, the article is an invitation – especially, to moral philosophers and political theorists...

#%Applications of artificial intelligence in intelligent manufacturing: a review

Institute of Scientific and Technical Information of China (English)

#

2017-01-01

#%Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid development of core technologies in the new era of 'Internet plus AI', which is triggering a great change in the models, means, and ecosystems of the manufacturing industry, as well as in the development of AI. We then propose new models, means, and forms of intelligent manufacturing, intelligent manufacturing system architecture, and intelligent man-ufacturing technology system, based on the integration of AI technology with information communications, manufacturing, and related product technology. Moreover, from the perspectives of intelligent manufacturing application technology, industry, and application demonstration, the current development in intelligent manufacturing is discussed. Finally, suggestions for the appli-cation of AI in intelligent manufacturing in China are presented.

An Intelligent Systems Approach to Reservoir Characterization. Final Report

International Nuclear Information System (INIS)

Shahab D. Mohaghegh; Jaime Toro; Thomas H. Wilson; Emre Artun; Alejandro Sanchez; Sandeep Pyakurel

2005-01-01

Today, the major challenge in reservoir characterization is integrating data coming from different sources in varying scales, in order to obtain an accurate and high-resolution reservoir model. The role of seismic data in this integration is often limited to providing a structural model for the reservoir. Its relatively low resolution usually limits its further use. However, its areal coverage and availability suggest that it has the potential of providing valuable data for more detailed reservoir characterization studies through the process of seismic inversion. In this paper, a novel intelligent seismic inversion methodology is presented to achieve a desirable correlation between relatively low-frequency seismic signals, and the much higher frequency wireline-log data. Vertical seismic profile (VSP) is used as an intermediate step between the well logs and the surface seismic. A synthetic seismic model is developed by using real data and seismic interpretation. In the example presented here, the model represents the Atoka and Morrow formations, and the overlying Pennsylvanian sequence of the Buffalo Valley Field in New Mexico. Generalized regression neural network (GRNN) is used to build two independent correlation models between; (1) Surface seismic and VSP, (2) VSP and well logs. After generating virtual VSP's from the surface seismic, well logs are predicted by using the correlation between VSP and well logs. The values of the density log, which is a surrogate for reservoir porosity, are predicted for each seismic trace through the seismic line with a classification approach having a correlation coefficient of 0.81. The same methodology is then applied to real data taken from the Buffalo Valley Field, to predict inter-well gamma ray and neutron porosity logs through the seismic line of interest. The same procedure can be applied to a complete 3D seismic block to obtain 3D distributions of reservoir properties with less uncertainty than the geostatistical

Inverse photoemission

International Nuclear Information System (INIS)

Namatame, Hirofumi; Taniguchi, Masaki

1994-01-01

Photoelectron spectroscopy is regarded as the most powerful means since it can measure almost perfectly the occupied electron state. On the other hand, inverse photoelectron spectroscopy is the technique for measuring unoccupied electron state by using the inverse process of photoelectron spectroscopy, and in principle, the similar experiment to photoelectron spectroscopy becomes feasible. The development of the experimental technology for inverse photoelectron spectroscopy has been carried out energetically by many research groups so far. At present, the heightening of resolution of inverse photoelectron spectroscopy, the development of inverse photoelectron spectroscope in which light energy is variable and so on are carried out. But the inverse photoelectron spectroscope for vacuum ultraviolet region is not on the market. In this report, the principle of inverse photoelectron spectroscopy and the present state of the spectroscope are described, and the direction of the development hereafter is groped. As the experimental equipment, electron guns, light detectors and so on are explained. As the examples of the experiment, the inverse photoelectron spectroscopy of semimagnetic semiconductors and resonance inverse photoelectron spectroscopy are reported. (K.I.)

Nonlinear Rayleigh wave inversion based on the shuffled frog-leaping algorithm

Science.gov (United States)

Sun, Cheng-Yu; Wang, Yan-Yan; Wu, Dun-Shi; Qin, Xiao-Jun

2017-12-01

At present, near-surface shear wave velocities are mainly calculated through Rayleigh wave dispersion-curve inversions in engineering surface investigations, but the required calculations pose a highly nonlinear global optimization problem. In order to alleviate the risk of falling into a local optimal solution, this paper introduces a new global optimization method, the shuffle frog-leaping algorithm (SFLA), into the Rayleigh wave dispersion-curve inversion process. SFLA is a swarm-intelligence-based algorithm that simulates a group of frogs searching for food. It uses a few parameters, achieves rapid convergence, and is capability of effective global searching. In order to test the reliability and calculation performance of SFLA, noise-free and noisy synthetic datasets were inverted. We conducted a comparative analysis with other established algorithms using the noise-free dataset, and then tested the ability of SFLA to cope with data noise. Finally, we inverted a real-world example to examine the applicability of SFLA. Results from both synthetic and field data demonstrated the effectiveness of SFLA in the interpretation of Rayleigh wave dispersion curves. We found that SFLA is superior to the established methods in terms of both reliability and computational efficiency, so it offers great potential to improve our ability to solve geophysical inversion problems.

Global Research on Artificial Intelligence from 1990–2014: Spatially-Explicit Bibliometric Analysis

Directory of Open Access Journals (Sweden)

Jiqiang Niu

2016-05-01

Full Text Available In this article, we conducted the evaluation of artificial intelligence research from 1990–2014 by using bibliometric analysis. We introduced spatial analysis and social network analysis as geographic information retrieval methods for spatially-explicit bibliometric analysis. This study is based on the analysis of data obtained from database of the Science Citation Index Expanded (SCI-Expanded and Conference Proceedings Citation Index-Science (CPCI-S. Our results revealed scientific outputs, subject categories and main journals, author productivity and geographic distribution, international productivity and collaboration, and hot issues and research trends. The growth of article outputs in artificial intelligence research has exploded since the 1990s, along with increasing collaboration, reference, and citations. Computer science and engineering were the most frequently-used subject categories in artificial intelligence studies. The top twenty productive authors are distributed in countries with a high investment of research and development. The United States has the highest number of top research institutions in artificial intelligence, producing most single-country and collaborative articles. Although there is more and more collaboration among institutions, cooperation, especially international ones, are not highly prevalent in artificial intelligence research as expected. The keyword analysis revealed interesting research preferences, confirmed that methods, models, and application are in the central position of artificial intelligence. Further, we found interesting related keywords with high co-occurrence frequencies, which have helped identify new models and application areas in recent years. Bibliometric analysis results from our study will greatly facilitate the understanding of the progress and trends in artificial intelligence, in particular, for those researchers interested in domain-specific AI-driven problem-solving. This will be

Using the key success factor concept in competitor intelligence and benchmarking

DEFF Research Database (Denmark)

Bisp, Søren; Sørensen, Elin; Grunert, Klaus G.

1997-01-01

A key success factor is regarded as a skill or a resource that a business can invest in, which explains a major part of the observable differences in perceived value of the offer and/or relative costs of bringing that offer to the marketplace. Key success factors are potentially useful in structu......A key success factor is regarded as a skill or a resource that a business can invest in, which explains a major part of the observable differences in perceived value of the offer and/or relative costs of bringing that offer to the marketplace. Key success factors are potentially useful...... in structuring the generation of market intelligence in competitor analysis and benchmarking. To this end, a method was developed, based on a reverse laddering procedure, which elicits decision-makers' subjec causal maps. When aggregated, these maps can be used to derive competitor analysis systems. The paper...

Sustainable Markets Investment Briefings: Foreign investment contracts

Energy Technology Data Exchange (ETDEWEB)

Cotula, Lorenzo

2007-08-15

This is the fourth of a series of briefings which discuss the sustainable development issues raised by legal arrangements for the protection of foreign investment. The briefings are based on legal research by IIED and its partners. The goal is to provide accessible but accurate information for human rights, development and environmental organisations working on issues raised by foreign investment in low- and middle-income countries. Briefing 4 sets out some of the ways in which foreign investment contracts can impact on sustainable development.

Optimal Responsible Investment

DEFF Research Database (Denmark)

Jessen, Pernille

Numerous institutions are now engaged in Socially Responsible Investment or have signed the "UN Principles for Responsible Investment". Retail investors, however, are still lacking behind. This is peculiar since the sector constitutes key stakeholders in environmental, social and governmental...... standards. This paper considers optimal responsible investment for a small retail investor. It extends conventional portfolio theory by allowing for a personal-value based investment decision. Preferences for responsibility are defined in the framework of mean-variance analysis and an optimal responsible...... investment model identified. Implications of the altered investment problem are investigated when the dynamics between portfolio risk, expected return and responsibility is considered. Relying on the definition of a responsible investor, it is shown how superior investment opportunities can emerge when...

Social intelligence, human intelligence and niche construction.

Science.gov (United States)

Sterelny, Kim

2007-04-29

This paper is about the evolution of hominin intelligence. I agree with defenders of the social intelligence hypothesis in thinking that externalist models of hominin intelligence are not plausible: such models cannot explain the unique cognition and cooperation explosion in our lineage, for changes in the external environment (e.g. increasing environmental unpredictability) affect many lineages. Both the social intelligence hypothesis and the social intelligence-ecological complexity hybrid I outline here are niche construction models. Hominin evolution is hominin response to selective environments that earlier hominins have made. In contrast to social intelligence models, I argue that hominins have both created and responded to a unique foraging mode; a mode that is both social in itself and which has further effects on hominin social environments. In contrast to some social intelligence models, on this view, hominin encounters with their ecological environments continue to have profound selective effects. However, though the ecological environment selects, it does not select on its own. Accidents and their consequences, differential success and failure, result from the combination of the ecological environment an agent faces and the social features that enhance some opportunities and suppress others and that exacerbate some dangers and lessen others. Individuals do not face the ecological filters on their environment alone, but with others, and with the technology, information and misinformation that their social world provides.

Trends in ambient intelligent systems the role of computational intelligence

CERN Document Server

Khan, Mohammad; Abraham, Ajith

2016-01-01

This book demonstrates the success of Ambient Intelligence in providing possible solutions for the daily needs of humans. The book addresses implications of ambient intelligence in areas of domestic living, elderly care, robotics, communication, philosophy and others. The objective of this edited volume is to show that Ambient Intelligence is a boon to humanity with conceptual, philosophical, methodical and applicative understanding. The book also aims to schematically demonstrate developments in the direction of augmented sensors, embedded systems and behavioral intelligence towards Ambient Intelligent Networks or Smart Living Technology. It contains chapters in the field of Ambient Intelligent Networks, which received highly positive feedback during the review process. The book contains research work, with in-depth state of the art from augmented sensors, embedded technology and artificial intelligence along with cutting-edge research and development of technologies and applications of Ambient Intelligent N...

78 FR 77377 - Small Business Investment Companies-Investments in Passive Businesses

Science.gov (United States)

2013-12-23

... SMALL BUSINESS ADMINISTRATION 13 CFR Part 107 RIN 3245-AG57 Small Business Investment Companies--Investments in Passive Businesses AGENCY: U.S. Small Business Administration. ACTION: Proposed rule. SUMMARY... Investment Company (SBIC) program concerning investments in passive businesses. SBICs are generally...

Ortho Image and DTM Generation with Intelligent Methods

Science.gov (United States)

Bagheri, H.; Sadeghian, S.

2013-10-01

Nowadays the artificial intelligent algorithms has considered in GIS and remote sensing. Genetic algorithm and artificial neural network are two intelligent methods that are used for optimizing of image processing programs such as edge extraction and etc. these algorithms are very useful for solving of complex program. In this paper, the ability and application of genetic algorithm and artificial neural network in geospatial production process like geometric modelling of satellite images for ortho photo generation and height interpolation in raster Digital Terrain Model production process is discussed. In first, the geometric potential of Ikonos-2 and Worldview-2 with rational functions, 2D & 3D polynomials were tested. Also comprehensive experiments have been carried out to evaluate the viability of the genetic algorithm for optimization of rational function, 2D & 3D polynomials. Considering the quality of Ground Control Points, the accuracy (RMSE) with genetic algorithm and 3D polynomials method for Ikonos-2 Geo image was 0.508 pixel sizes and the accuracy (RMSE) with GA algorithm and rational function method for Worldview-2 image was 0.930 pixel sizes. For more another optimization artificial intelligent methods, neural networks were used. With the use of perceptron network in Worldview-2 image, a result of 0.84 pixel sizes with 4 neurons in middle layer was gained. The final conclusion was that with artificial intelligent algorithms it is possible to optimize the existing models and have better results than usual ones. Finally the artificial intelligence methods, like genetic algorithms as well as neural networks, were examined on sample data for optimizing interpolation and for generating Digital Terrain Models. The results then were compared with existing conventional methods and it appeared that these methods have a high capacity in heights interpolation and that using these networks for interpolating and optimizing the weighting methods based on inverse

Ranking independent timber investments by alternative investment criteria

Science.gov (United States)

Thomas J. Mills; Gary E. Dixon

1982-01-01

A sample of 231 independent timber investments were ranked by internal rate of return, present net worth per acre and the benefit cost ratio—the last two discounted by 3, 6.4. 7.5. and 10 percent—to determine if the different criteria had a practical influence on timber investment ranking. The samples in this study were drawn from a group of timber investments...

Emotional Intelligence in Medical Students is Inversely Correlated with USMLE Step 1 Score: Is there a Better Way to Screen Applicants?

Directory of Open Access Journals (Sweden)

Allison Lee Boden

2018-03-01

Full Text Available Background: The primary aim of this study was to investigate whether USMLE board scores correlate with the emotional intelligence of medical students. We hypothesized that higher Step 1 scores would be associated with lower emotional intelligence.Methods: This prospective study included medical students who self-reported their USMLE Step 1 score and completed a survey designed to measure their emotional intelligence. The survey was composed of a Grit Scale, a Hardiness-Resilience quiz, and the “Reading the Mind in the Eyes” quiz. For participants who completed all three instruments, a composite score was equal to the sum of the three scoresThis study was performed at Emory University School of Medicine in Atlanta, Georgia. Of the 85 medical students who were recruited to participate, 72 completed all aspects of this study (85% completion rate.Results: Pearson correlation analyses showed that grit (r=-0.105, P=0.34, hardiness-resilience (r=-0.230, P=0.04, the eye quiz (r=-0.033, P=0.79, and the composite score (r=-0.187, P=0.12 wereinversely correlated with USMLE scores. Participants who scored higher than the national average had a lower mean hardiness score compared to those who scored lower than the national average (P=0.03. Those who scored at least one standard deviation above the national average had a lowermean hardiness score (P=0.05 and a lower composite score (P=0.04.Conclusion: Higher USMLE Step 1 scores are associated with lower emotional intelligence, namely hardiness, in medical students.Keywords: EMOTIONAL INTELLIGENCE, USMLE STEP 1, HARDINESS, GRIT, RESIDENCY SELECTION

76 FR 2029 - Small Business Investment Companies-Energy Saving Qualified Investments

Science.gov (United States)

2011-01-12

... 3245-AF86 Small Business Investment Companies--Energy Saving Qualified Investments AGENCY: U.S. Small... Administration (SBA) is setting forth the new defined terms, ``Energy Saving Qualified Investment'' and ``Energy Saving Activities'', for the Small Business Investment Company (SBIC) Program. The new definitions are...

Intelligence in early adulthood and mortality from natural and unnatural causes in middle-aged Danish men.

Science.gov (United States)

Meincke, Rikke Hodal; Mortensen, Erik Lykke; Avlund, Kirsten; Rosthøj, Susanne; Sørensen, Holger Jelling; Osler, Merete

2014-02-01

High intelligence early in life has consistently been associated with decreased mortality, but the mechanisms are still not fully understood. In this cohort study, we examined the association between intelligence in early adulthood and later mortality from natural and unnatural causes taking birth weight, parental socioeconomic position, participants' own education and body mass index into account. 13 536 Danish men born in 1953 and 1959-1961 with data from birth certificates and intelligence test scores from conscription were followed until 2009. Information on vital status was obtained from the Civil Registration System. Mortality risks were analysed by the multiple Cox proportional hazards model. The risk of mortality from natural as well as unnatural causes was more than twice as high among men in the lowest scoring intelligence tertile (HRnatural deaths=2.24; 1.90-2.65 and HRunnatural deaths=2.67; 2.03-3.53). Adjusting for all covariates attenuated the estimates, but the association remained (HRnatural deaths=1.82; 1.48-2.25 and HRunnatural deaths=2.30; 1.63-3.25). In men, intelligence in early adulthood was inversely associated with midlife mortality from natural and unnatural causes. The associations remained after adjustments for a range of covariates.

Responsible Investment: Taxes and Paradoxes

Directory of Open Access Journals (Sweden)

Knuutinen Reijo

2017-12-01

Full Text Available Taxes have become an issue of corporate social responsibility (CSR, but the role of taxation is to some extent an ambiguous and controversial issue in the CSR framework. Similarly, another unclear question is what role investors who are committed to sustainable and responsible investment (SRI see taxes as having on their environmental, social, and governance (ESG agenda. Corporate taxes have an inverse relationship with the return of the investors: taxes paid directly affect what is left on the bottom line, reducing the return of investors. However, investors are now more aware of tax-related risks, which can include different forms of reputation risk. Corporate tax planning may increase the returns, but those increased returns are riskier. This study focuses particularly on the relationship between SRI and taxation. We find that tax matters are considered to be on the ESG agenda, but their role and significance in the ESG analysis is unclear.

The Impact of Corruption and Money Laundering on Foreign Direct Investment in ASEAN

Directory of Open Access Journals (Sweden)

I Wayan Yasa Nugraha

2013-12-01

Full Text Available The purpose of this study is to examine the impact of corruption and money laundering on Foreign Direct Investment (FDI inflow in ASEAN by using panel data which covers ten years observation (2000–2009 and five cross sections of selected countries i.e. Indonesia, Malaysia, Singapore, Thailand, and Philippines. The model is estimated using ordinary least square method with fixed effect estimation. The result shows that there is a significant positive association between the establishment of Financial Intelligence Unit (FIU and FDI inflow, while Corruption Perception Index (CPI, as the proxy of corruption, does not significantly affect FDI inflow.

Calculation of the inverse data space via sparse inversion

KAUST Repository

Saragiotis, Christos

2011-01-01

The inverse data space provides a natural separation of primaries and surface-related multiples, as the surface multiples map onto the area around the origin while the primaries map elsewhere. However, the calculation of the inverse data is far from trivial as theory requires infinite time and offset recording. Furthermore regularization issues arise during inversion. We perform the inversion by minimizing the least-squares norm of the misfit function by constraining the $ell_1$ norm of the solution, being the inverse data space. In this way a sparse inversion approach is obtained. We show results on field data with an application to surface multiple removal.

Emotional Intelligence and its Relation to Job Success

Directory of Open Access Journals (Sweden)

MA. Dua Dauti-Kadriu

2015-12-01

Full Text Available Until three decades ago the importance of Emotional Intelligence, now on referred as EI, was not very well known. Existing as a concept EI was not unanimously defined, not in its merited place in science and not well known in society opinion. The concept of EI for the first time arose in 1990 by Peter Salovey and John Mayer. It evolved later and achieved its peak with the work of Daniel Goldman in 1995, where his book on EI named: “EI, why it Matters” sold millions of copies. Nowadays after many researches done in EI field, EI with its main components has been rightly acknowledged as an engine of a human body toward achieving one’s self-satisfaction and success. However this still has not happened in Kosova. This is one of the first articles written in Kosova about EI, the new concept of Intelligence. The paper will try to give the contribution on the field of bringing EI in its merited place in Kosova society, and so will positively affect the investment of individuals into their EI, being one of the main factors that bring you towards success and overall wellbeing.

12 CFR 703.5 - Discretionary control over investments and investment advisers.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Discretionary control over investments and investment advisers. 703.5 Section 703.5 Banks and Banking NATIONAL CREDIT UNION ADMINISTRATION REGULATIONS AFFECTING CREDIT UNIONS INVESTMENT AND DEPOSIT ACTIVITIES § 703.5 Discretionary control over investments and...

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.

Advanced intelligent systems

CERN Document Server

Ryoo, Young; Jang, Moon-soo; Bae, Young-Chul

2014-01-01

Intelligent systems have been initiated with the attempt to imitate the human brain. People wish to let machines perform intelligent works. Many techniques of intelligent systems are based on artificial intelligence. According to changing and novel requirements, the advanced intelligent systems cover a wide spectrum: big data processing, intelligent control, advanced robotics, artificial intelligence and machine learning. This book focuses on coordinating intelligent systems with highly integrated and foundationally functional components. The book consists of 19 contributions that features social network-based recommender systems, application of fuzzy enforcement, energy visualization, ultrasonic muscular thickness measurement, regional analysis and predictive modeling, analysis of 3D polygon data, blood pressure estimation system, fuzzy human model, fuzzy ultrasonic imaging method, ultrasonic mobile smart technology, pseudo-normal image synthesis, subspace classifier, mobile object tracking, standing-up moti...

Trends in Business Investment

OpenAIRE

Lydon, Reamonn; Scally, John

2014-01-01

This article examines trends in business investment in Ireland. Consistent with the international evidence on investment cycles, we show that business investment in Ireland exhibits large cyclical movements around a long-run trend relative to GDP. Changes in business investment broadly coincide with the overall business cycle, although swings in investment tend to be far greater, with extended periods of both over- and under-investment relative to GDP. The sharp fall in business investment si...

Giga-Investments: Modelling the Valuation of Very Large Industrial Real Investments

OpenAIRE

Collan, Mikael

2004-01-01

In this doctoral dissertation characteristics of very large industrial real investments (VLIRI) are investigated and a special group of VLIRI is defined as giga-investments. The investment decision-making regarding to giga-investments is discussed from the points of view of discounted cash-flow based methods and real option valuation. Based on the bacground of establishing giga-investments, state-of-the-art in capital budgeting (including real options) and by applying fuzzy numbers a novel me...

Competitive Intelligence.

Science.gov (United States)

Bergeron, Pierrette; Hiller, Christine A.

2002-01-01

Reviews the evolution of competitive intelligence since 1994, including terminology and definitions and analytical techniques. Addresses the issue of ethics; explores how information technology supports the competitive intelligence process; and discusses education and training opportunities for competitive intelligence, including core competencies…

The relationship of age, anxiety, and serum immunoglobulins with crystallized and fluid intelligence.

Science.gov (United States)

Cohen, D; Eisdorfer, C; Vitaliano, P P; Bloom, V

1980-10-01

Serum immunoglobulin concentrations (IgG, IgA, and IgM), cognitive performance (crystallized and fluid intelligence), and self-reports of anxiety were evaluated in 24 men and women 60-75 years, and 50 men and women, 30-45 years. Trait anxiety was an important factor relating to performance differences between the young and old on crystallized and fluid subtests. IgM was inversely related to performance in the older age groups. Anxiety was not related to serum immunoglobulin levels.

Investments

CERN Document Server

Bodie, Zvi; Marcus, Alan J.

2017-01-01

The integrated solutions for Bodie, Kane, and Marcus' Investments set the standard for graduate/MBA investments textbooks. The unifying theme is that security markets are nearly efficient, meaning that most securities are priced appropriately given their risk and return attributes. The content places greater emphasis on asset allocation and offers a much broader and deeper treatment of futures, options, and other derivative security markets than most investment texts. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.

ESG Integration and the Investment Management Process : Fundamental Investing Reinvented

NARCIS (Netherlands)

van Duuren, Emiel; Plantinga, Auke; Scholtens, Bert

2016-01-01

We investigate how conventional asset managers account for environmental, social and governance factors (ESG) in their investment process. We do so on the basis of an international survey among fund managers. We find that many conventional managers integrate responsible investing in their investment

GREEN INVESTMENT: A STRATEGY FOR SUSTAINABLE ECONOMIC GROWTH AND INVESTMENT

Directory of Open Access Journals (Sweden)

Jaya Shukla

2014-01-01

Full Text Available Sustainable economic development has become an important area of concern due to climatic change with its long term effects. Climatic change has posed several challenges for economic sustainability of economies. Now major development projects have to comply with international environmental norms. Failure to do so may result in the delay of a project, fines including penalties for environmental damage or charges for remedial action, that affect the viability of a project or the value of any security taken. This paper investigates with help of secondary date using descriptive statistical technique opportunities and challenges of green investment. Here it is developed into suitable model for developing economies for successfully adopting green investment without much cost to their economies. The paper concludes that green investment involving direct investment and portfolio investment in firms adopting and following environmental protection norms will lead to sustainable growth and investment for economy.

RISKS ASSOCIATED WITH INVESTMENTS IN STRUCTURED INVESTMENT PRODUCTS, SELECTION CRITERIA OF SIP`S

Directory of Open Access Journals (Sweden)

Ignatyuk Aleksandr Sergeevich

2013-05-01

Full Text Available Purpose To identify and classify the major risks affecting on the structured investment products, to submit proposals to limit their impact. Methodology The work is based on a studying of the practice of investments in structured investment products, detection and investigation of sources of market risk of structured investment products. Results Structured investment products, as any other investment product, has a significant set of risks that could affect to a large extent on its evaluation and determine the behavior of the investor. Financial engineers have the ability to control most of these risks, as well as to limit their impact. Thus, the structured investment product, unlike most classic investment instruments can provide investors with highly transparent mechanism to determining the ratio of investment risk and potential income. Practical implications The results can be used in a scientific investigation of the phenomenon of structured investment products, as well as practical work on the formation of the structured products by investment banks and brokerage firms.

Modelling traffic flows with intelligent cars and intelligent roads

NARCIS (Netherlands)

van Arem, Bart; Tampere, Chris M.J.; Malone, Kerry

2003-01-01

This paper addresses the modeling of traffic flows with intelligent cars and intelligent roads. It will describe the modeling approach MIXIC and review the results for different ADA systems: Adaptive Cruise Control, a special lane for Intelligent Vehicles, cooperative following and external speed

Crustal velocity structure of central Gansu Province from regional seismic waveform inversion using firework algorithm

Science.gov (United States)

Chen, Yanyang; Wang, Yanbin; Zhang, Yuansheng

2017-04-01

The firework algorithm (FWA) is a novel swarm intelligence-based method recently proposed for the optimization of multi-parameter, nonlinear functions. Numerical waveform inversion experiments using a synthetic model show that the FWA performs well in both solution quality and efficiency. We apply the FWA in this study to crustal velocity structure inversion using regional seismic waveform data of central Gansu on the northeastern margin of the Qinghai-Tibet plateau. Seismograms recorded from the moment magnitude ( M W) 5.4 Minxian earthquake enable obtaining an average crustal velocity model for this region. We initially carried out a series of FWA robustness tests in regional waveform inversion at the same earthquake and station positions across the study region, inverting two velocity structure models, with and without a low-velocity crustal layer; the accuracy of our average inversion results and their standard deviations reveal the advantages of the FWA for the inversion of regional seismic waveforms. We applied the FWA across our study area using three component waveform data recorded by nine broadband permanent seismic stations with epicentral distances ranging between 146 and 437 km. These inversion results show that the average thickness of the crust in this region is 46.75 km, while thicknesses of the sedimentary layer, and the upper, middle, and lower crust are 3.15, 15.69, 13.08, and 14.83 km, respectively. Results also show that the P-wave velocities of these layers and the upper mantle are 4.47, 6.07, 6.12, 6.87, and 8.18 km/s, respectively.

Intelligence.

Science.gov (United States)

Sternberg, Robert J

2012-03-01

Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain-especially with regard to the functioning in the prefrontal cortex-and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret.

Intelligence

Science.gov (United States)

Sternberg, Robert J.

2012-01-01

Intelligence is the ability to learn from experience and to adapt to, shape, and select environments. Intelligence as measured by (raw scores on) conventional standardized tests varies across the lifespan, and also across generations. Intelligence can be understood in part in terms of the biology of the brain—especially with regard to the functioning in the prefrontal cortex—and also correlates with brain size, at least within humans. Studies of the effects of genes and environment suggest that the heritability coefficient (ratio of genetic to phenotypic variation) is between .4 and .8, although heritability varies as a function of socioeconomic status and other factors. Racial differences in measured intelligence have been observed, but race is a socially constructed rather than biological variable, so such differences are difficult to interpret. PMID:22577301

Influence of individual heat pumps on wind power integration – Energy system investments and operation

International Nuclear Information System (INIS)

Hedegaard, Karsten; Münster, Marie

2013-01-01

Highlights: • Individual heat pumps can significantly support the integration of wind power. • The heat pumps significantly reduce fuel consumption, CO 2 emissions, and costs. • Heat storages for the heat pumps can provide only moderate system benefits. • Main benefit of flexible heat pump operation is a lower peak/reserve capacity need. • Socio-economic feasibility only identified for some heat storages to some extent. - Abstract: Individual heat pumps are expected to constitute a significant electricity demand in future energy systems. This demand becomes flexible if investing in complementing heat storage capabilities. In this study, we analyse how the heat pumps can influence the integration of wind power by applying an energy system model that optimises both investments and operation, and covers various heat storage options. The Danish energy system by 2030 with around 50–60% wind power is used as a case study. Results show that the heat pumps, even without flexible operation, can contribute significantly to facilitating larger wind power investments and reducing system costs, fuel consumption, and CO 2 emissions. Investments in heat storages can provide only moderate system benefits in these respects. The main benefit of the flexible heat pump operation is a reduced need for peak/reserve capacity, which is also crucial for the feasibility of the heat storages. Socio-economic feasibility is identified for control equipment enabling intelligent heat storage in the building structure and in existing hot water tanks. In contrast, investments in new heat accumulation tanks are not found competitive

Social Impact Investment: Increasing Private Sector Investment to ...

International Development Research Centre (IDRC) Digital Library (Canada)

The social impact investment market is now global in scope and it is rapidly expanding in some ... of social impact investing to address environmental, social, and economic challenges. ... New project to improve water management in the Sahel.

Environmental proxies of antigen exposure explain variation in immune investment better than indices of pace of life.

Science.gov (United States)

Horrocks, Nicholas P C; Hegemann, Arne; Ostrowski, Stéphane; Ndithia, Henry; Shobrak, Mohammed; Williams, Joseph B; Matson, Kevin D; Tieleman, B I

2015-01-01

Investment in immune defences is predicted to covary with a variety of ecologically and evolutionarily relevant axes, with pace of life and environmental antigen exposure being two examples. These axes may themselves covary directly or inversely, and such relationships can lead to conflicting predictions regarding immune investment. If pace of life shapes immune investment then, following life history theory, slow-living, arid zone and tropical species should invest more in immunity than fast-living temperate species. Alternatively, if antigen exposure drives immune investment, then species in antigen-rich tropical and temperate environments are predicted to exhibit higher immune indices than species from antigen-poor arid locations. To test these contrasting predictions we investigated how variation in pace of life and antigen exposure influence immune investment in related lark species (Alaudidae) with differing life histories and predicted risks of exposure to environmental microbes and parasites. We used clutch size and total number of eggs laid per year as indicators of pace of life, and aridity, and the climatic variables that influence aridity, as correlates of antigen abundance. We quantified immune investment by measuring four indices of innate immunity. Pace of life explained little of the variation in immune investment, and only one immune measure correlated significantly with pace of life, but not in the predicted direction. Conversely, aridity, our proxy for environmental antigen exposure, was predictive of immune investment, and larks in more mesic environments had higher immune indices than those living in arid, low-risk locations. Our study suggests that abiotic environmental variables with strong ties to environmental antigen exposure can be important correlates of immunological variation.

Combined Intelligent Control (CIC an Intelligent Decision Making Algorithm

Directory of Open Access Journals (Sweden)

Moteaal Asadi Shirzi

2007-03-01

Full Text Available The focus of this research is to introduce the concept of combined intelligent control (CIC as an effective architecture for decision-making and control of intelligent agents and multi-robot sets. Basically, the CIC is a combination of various architectures and methods from fields such as artificial intelligence, Distributed Artificial Intelligence (DAI, control and biological computing. Although any intelligent architecture may be very effective for some specific applications, it could be less for others. Therefore, CIC combines and arranges them in a way that the strengths of any approach cover the weaknesses of others. In this paper first, we introduce some intelligent architectures from a new aspect. Afterward, we offer the CIC by combining them. CIC has been executed in a multi-agent set. In this set, robots must cooperate to perform some various tasks in a complex and nondeterministic environment with a low sensory feedback and relationship. In order to investigate, improve, and correct the combined intelligent control method, simulation software has been designed which will be presented and considered. To show the ability of the CIC algorithm as a distributed architecture, a central algorithm is designed and compared with the CIC.

Intelligence and negotiating

International Nuclear Information System (INIS)

George, D.G.

1990-01-01

This paper discusses the role of US intelligence during arms control negotiations between 1982 and 1987. It also covers : the orchestration of intelligence projects; an evaluation of the performance of intelligence activities; the effect intelligence work had on actual arms negotiations; and suggestions for improvements in the future

Intelligence and childlessness.

Science.gov (United States)

Kanazawa, Satoshi

2014-11-01

Demographers debate why people have children in advanced industrial societies where children are net economic costs. From an evolutionary perspective, however, the important question is why some individuals choose not to have children. Recent theoretical developments in evolutionary psychology suggest that more intelligent individuals may be more likely to prefer to remain childless than less intelligent individuals. Analyses of the National Child Development Study show that more intelligent men and women express preference to remain childless early in their reproductive careers, but only more intelligent women (not more intelligent men) are more likely to remain childless by the end of their reproductive careers. Controlling for education and earnings does not at all attenuate the association between childhood general intelligence and lifetime childlessness among women. One-standard-deviation increase in childhood general intelligence (15 IQ points) decreases women's odds of parenthood by 21-25%. Because women have a greater impact on the average intelligence of future generations, the dysgenic fertility among women is predicted to lead to a decline in the average intelligence of the population in advanced industrial nations. Copyright © 2014 Elsevier Inc. All rights reserved.

Perceived intelligence is associated with measured intelligence in men but not women.

Science.gov (United States)

Kleisner, Karel; Chvátalová, Veronika; Flegr, Jaroslav

2014-01-01

The ability to accurately assess the intelligence of other persons finds its place in everyday social interaction and should have important evolutionary consequences. We used static facial photographs of 40 men and 40 women to test the relationship between measured IQ, perceived intelligence, and facial shape. Both men and women were able to accurately evaluate the intelligence of men by viewing facial photographs. In addition to general intelligence, figural and fluid intelligence showed a significant relationship with perceived intelligence, but again, only in men. No relationship between perceived intelligence and IQ was found for women. We used geometric morphometrics to determine which facial traits are associated with the perception of intelligence, as well as with intelligence as measured by IQ testing. Faces that are perceived as highly intelligent are rather prolonged with a broader distance between the eyes, a larger nose, a slight upturn to the corners of the mouth, and a sharper, pointing, less rounded chin. By contrast, the perception of lower intelligence is associated with broader, more rounded faces with eyes closer to each other, a shorter nose, declining corners of the mouth, and a rounded and massive chin. By contrast, we found no correlation between morphological traits and real intelligence measured with IQ test, either in men or women. These results suggest that a perceiver can accurately gauge the real intelligence of men, but not women, by viewing their faces in photographs; however, this estimation is possibly not based on facial shape. Our study revealed no relation between intelligence and either attractiveness or face shape.

Comparison result of inversion of gravity data of a fault by particle swarm optimization and Levenberg-Marquardt methods.

Science.gov (United States)

Toushmalani, Reza

2013-01-01

The purpose of this study was to compare the performance of two methods for gravity inversion of a fault. First method [Particle swarm optimization (PSO)] is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. Second method [The Levenberg-Marquardt algorithm (LM)] is an approximation to the Newton method used also for training ANNs. In this paper first we discussed the gravity field of a fault, then describes the algorithms of PSO and LM And presents application of Levenberg-Marquardt algorithm, and a particle swarm algorithm in solving inverse problem of a fault. Most importantly the parameters for the algorithms are given for the individual tests. Inverse solution reveals that fault model parameters are agree quite well with the known results. A more agreement has been found between the predicted model anomaly and the observed gravity anomaly in PSO method rather than LM method.

International Conference on Grey Systems and intelligent Services (IEEE GSIS 2009)

CERN Document Server

Liu, Sifeng; Advances in Grey Systems Research

2010-01-01

This book contains contributions by some of the leading researchers in the area of grey systems theory and applications. All the papers included in this volume are selected from the contributions physically presented at the 2009 IEEE International Conference on Grey Systems and Intelligent Services, November 11 – 12, 2009, Nanjing, Jiangsu, People’s Republic of China. This event was jointly sponsored by IEEE Systems, Man, and Cybernetics Society, Natural Science Foundation of China, and Grey Systems Society of China. Additionally, Nanjing University of Aeronautics and Astronautics also invested heavily in this event with its direct and indirect financial and administrative supports.

Artificial Intelligence.

Science.gov (United States)

Information Technology Quarterly, 1985

1985-01-01

This issue of "Information Technology Quarterly" is devoted to the theme of "Artificial Intelligence." It contains two major articles: (1) Artificial Intelligence and Law" (D. Peter O'Neill and George D. Wood); (2) "Artificial Intelligence: A Long and Winding Road" (John J. Simon, Jr.). In addition, it contains two sidebars: (1) "Calculating and…

Intelligent robot trends and predictions for the first year of the new millennium

Science.gov (United States)

Hall, Ernest L.

2000-10-01

An intelligent robot is a remarkably useful combination of a manipulator, sensors and controls. The current use of these machines in outer space, medicine, hazardous materials, defense applications and industry is being pursued with vigor. In factory automation, industrial robots can improve productivity, increase product quality and improve competitiveness. The computer and the robot have both been developed during recent times. The intelligent robot combines both technologies and requires a thorough understanding and knowledge of mechatronics. Today's robotic machines are faster, cheaper, more repeatable, more reliable and safer than ever. The knowledge base of inverse kinematic and dynamic solutions and intelligent controls is increasing. More attention is being given by industry to robots, vision and motion controls. New areas of usage are emerging for service robots, remote manipulators and automated guided vehicles. Economically, the robotics industry now has more than a billion-dollar market in the U.S. and is growing. Feasibility studies show decreasing costs for robots and unaudited healthy rates of return for a variety of robotic applications. However, the road from inspiration to successful application can be long and difficult, often taking decades to achieve a new product. A greater emphasis on mechatronics is needed in our universities. Certainly, more cooperation between government, industry and universities is needed to speed the development of intelligent robots that will benefit industry and society. The fearful robot stories may help us prevent future disaster. The inspirational robot ideas may inspire the scientists of tomorrow. However, the intelligent robot ideas, which can be reduced to practice, will change the world.

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

Science.gov (United States)

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

2015-01-01

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

Perceived Intelligence Is Associated with Measured Intelligence in Men but Not Women

Science.gov (United States)

Kleisner, Karel; Chvátalová, Veronika; Flegr, Jaroslav

2014-01-01

Background The ability to accurately assess the intelligence of other persons finds its place in everyday social interaction and should have important evolutionary consequences. Methodology/Principal Findings We used static facial photographs of 40 men and 40 women to test the relationship between measured IQ, perceived intelligence, and facial shape. Both men and women were able to accurately evaluate the intelligence of men by viewing facial photographs. In addition to general intelligence, figural and fluid intelligence showed a significant relationship with perceived intelligence, but again, only in men. No relationship between perceived intelligence and IQ was found for women. We used geometric morphometrics to determine which facial traits are associated with the perception of intelligence, as well as with intelligence as measured by IQ testing. Faces that are perceived as highly intelligent are rather prolonged with a broader distance between the eyes, a larger nose, a slight upturn to the corners of the mouth, and a sharper, pointing, less rounded chin. By contrast, the perception of lower intelligence is associated with broader, more rounded faces with eyes closer to each other, a shorter nose, declining corners of the mouth, and a rounded and massive chin. By contrast, we found no correlation between morphological traits and real intelligence measured with IQ test, either in men or women. Conclusions These results suggest that a perceiver can accurately gauge the real intelligence of men, but not women, by viewing their faces in photographs; however, this estimation is possibly not based on facial shape. Our study revealed no relation between intelligence and either attractiveness or face shape. PMID:24651120

Using Intelligent System Approaches for Simulation of Electricity Markets

Science.gov (United States)

Hamagami, Tomoki

Significances and approaches of applying intelligent systems to artificial electricity market is discussed. In recent years, with the moving into restructuring of electric system in Japan, the deregulation for the electric market is progressing. The most major change of the market is a founding of JEPX (Japan Electric Power eXchange.) which is expected to help lower power bills through effective use of surplus electricity. The electricity market designates exchange of electric power between electric power suppliers (supplier agents) themselves. In the market, the goal of each supplier agents is to maximize its revenue for the entire trading period, and shows complex behavior, which can model by a multiagent platform. Using the multiagent simulations which have been studied as “artificial market" helps to predict the spot prices, to plan investments, and to discuss the rules of market. Moreover, intelligent system approaches provide for constructing more reasonable policies of each agents. This article, first, makes a brief summary of the electricity market in Japan and the studies of artificial markets. Then, a survey of tipical studies of artificial electricity market is listed. Through these topics, the future vision is presented for the studies.

Nexus between Intelligence Education and Intelligence Training: A South African Perspective

Directory of Open Access Journals (Sweden)

M. A. van den Berg

2015-10-01

Full Text Available This paper examines the nexus of intelligence education and training from a South African perspective with the focus on current practices in light of the country’s transition towards democracy. A brief overview is provided on the history and development of the South African intelligence community with specific focus on the civilian intelligence services from the period prior 1994 to date (2015. The main focus, however, is on intelligence education that is currently available from training institutions and universities in South Africa as registered with the Department of Higher Education as well as private training institutions on the one hand, and the intelligence training practices within the statutory intelligence environment on the other. To this extent, the relations between academic institutions and the intelligence structures in terms of education and training within South Africa are perused against other practices within the African continent and internationally. The approaches to the study of intelligence are also addressed within this paper. Likewise, the how, what as well as to whom – pertaining to intelligence education and training availability and accessibility to students and practitioners within South Africa, is reviewed and analysed with the focus on making recommendations for the enhancement and improvement thereof to enable a focus on preparing the next generation of professional intelligence officers.

Micro-seismic waveform matching inversion based on gravitational search algorithm and parallel computation

Science.gov (United States)

Jiang, Y.; Xing, H. L.

2016-12-01

Micro-seismic events induced by water injection, mining activity or oil/gas extraction are quite informative, the interpretation of which can be applied for the reconstruction of underground stress and monitoring of hydraulic fracturing progress in oil/gas reservoirs. The source characterises and locations are crucial parameters that required for these purposes, which can be obtained through the waveform matching inversion (WMI) method. Therefore it is imperative to develop a WMI algorithm with high accuracy and convergence speed. Heuristic algorithm, as a category of nonlinear method, possesses a very high convergence speed and good capacity to overcome local minimal values, and has been well applied for many areas (e.g. image processing, artificial intelligence). However, its effectiveness for micro-seismic WMI is still poorly investigated; very few literatures exits that addressing this subject. In this research an advanced heuristic algorithm, gravitational search algorithm (GSA) , is proposed to estimate the focal mechanism (angle of strike, dip and rake) and source locations in three dimension. Unlike traditional inversion methods, the heuristic algorithm inversion does not require the approximation of green function. The method directly interacts with a CPU parallelized finite difference forward modelling engine, and updating the model parameters under GSA criterions. The effectiveness of this method is tested with synthetic data form a multi-layered elastic model; the results indicate GSA can be well applied on WMI and has its unique advantages. Keywords: Micro-seismicity, Waveform matching inversion, gravitational search algorithm, parallel computation

Increasing consumerism in healthcare through intelligent information technology.

Science.gov (United States)

Cohen, Seth B; Grote, Kurt D; Pietraszek, Wayne E; Laflamme, Francois

2010-12-01

In healthcare, consumerism is not a product or program. Instead, it is an orientation to new care delivery models that encourage and enable greater patient responsibility through the intelligent use of information technology. Despite the promise of consumerism, current approaches have not fully realized the potential benefits of improved outcomes and lower cost. We recommend 4 guiding principles to ensure that next-generation innovation yields the returns that providers, patients, and other stakeholders expect: (1) keep the consumer at the center of innovation, (2) keep it simple, (3) link products and services to a broader "ecosystem" of care, and (4) encourage health in addition to treating illness. Now may be a particularly compelling time to invest in a consumerist approach.

An empirical investigation on relationship between organizational intelligence and faculty members' knowledge sharing behaviors

Directory of Open Access Journals (Sweden)

Masoomeh Arabshahi

2013-11-01

Full Text Available Universities and institutions of higher education with a professional, special, educational and cultural environment play important roles in the direction towards the effective management of knowledge and space provision for the sharing of knowledge. Faculty members are known as the main elements of the university and they are the mental and intellectual investment banks who share their knowledge under certain conditions. In addition, their knowledge sharing behaviors lead to the success and improvement of individual and organizational operations. Moreover, organizational intelligence is the capacity of the organization to create knowledge and to use it in a strategic way to coordinate and to conform itself to its surroundings. This study examines the impact of organizational intelligence on faculty members' knowledge sharing behaviors. Data collection for qualitative research includes interviews with experts and quantitative research is performed using a questionnaire. The research results show that there was a significant relationship between organizational intelligence and faculty members' knowledge sharing behaviors. Among these dimensions, “knowledge application” influenced other dimensions. On the other hand, “common outcome” had a significant relationship with the “behavioral” dimension and “special and professional activities”.

Optimal Responsible Investment

DEFF Research Database (Denmark)

Jessen, Pernille

The paper studies retail Socially Responsible Investment and portfolio allocation. It extends conventional portfolio theory by allowing for a personal value based investment decision. When preferences for responsibility enter the framework for mean-variance analysis, it yields an optimal...... responsible investment model. An example of index investing illustrates the theory. Results show that it is crucial for the responsible investor to consider portfolio risk, expected return, and responsibility simultaneously in order to obtain an optimal portfolio. The model enables responsible investors...

INVESTMENT FUNDS IN ROMANIA

Directory of Open Access Journals (Sweden)

COPIL CRINA ANGELA

2013-07-01

Full Text Available I chose this topic because my goal was to capture in detail all aspects of the evolution of investment funds under the influence of factors leading to globalization of the banking financial market. Main motivation was that I proposed to present in an original manner the concept of investment in mutual funds by the thoroughness of the following points: the different types of investment funds from Romania, the advantages, the risks and the specific costs of the investment in mutual funds and the effects of the financial crisis on the industry of the investment funds on the national level. The financial crisis and the risk of infecting the global economy affected the taste of risk of the investors and their request for the investment fund, determining the orientation of the investors to the funds with a lower risk – the diversified funds, the funds of bonds and the monetary funds. I considered important the theoretical approach of the concept of investments in investment funds because they are a barometer of the macro economical stability, in case the economical increase is positive on the macro economical level the investments in investments funds are increasing too. In Romania the market of the mutual funds is at an incipient level, but with potential and perspectives of development. Due to the bankruptcy of FNI in the beginning of the years 2000 and due to the absence of a clear legislation regarding the calculation of the unitary value of the net asset and the control of the activity developed by the investment funds, the development of the industry of the investment funds had to fight against the crisis of credibility generated by these events. The convergence of the Romanian economy to the European standards will attract also a modification of the structure of the financial investments of the individuals, by an increase of the investments in funds. In the world the investment funds are preferred by the investors for their advantages

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

NARCIS (Netherlands)

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

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

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

NARCIS (Netherlands)

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

2002-01-01

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

Angle-domain inverse scattering migration/inversion in isotropic media

Science.gov (United States)

Li, Wuqun; Mao, Weijian; Li, Xuelei; Ouyang, Wei; Liang, Quan

2018-07-01

The classical seismic asymptotic inversion can be transformed into a problem of inversion of generalized Radon transform (GRT). In such methods, the combined parameters are linearly attached to the scattered wave-field by Born approximation and recovered by applying an inverse GRT operator to the scattered wave-field data. Typical GRT-style true-amplitude inversion procedure contains an amplitude compensation process after the weighted migration via dividing an illumination associated matrix whose elements are integrals of scattering angles. It is intuitional to some extent that performs the generalized linear inversion and the inversion of GRT together by this process for direct inversion. However, it is imprecise to carry out such operation when the illumination at the image point is limited, which easily leads to the inaccuracy and instability of the matrix. This paper formulates the GRT true-amplitude inversion framework in an angle-domain version, which naturally degrades the external integral term related to the illumination in the conventional case. We solve the linearized integral equation for combined parameters of different fixed scattering angle values. With this step, we obtain high-quality angle-domain common-image gathers (CIGs) in the migration loop which provide correct amplitude-versus-angle (AVA) behavior and reasonable illumination range for subsurface image points. Then we deal with the over-determined problem to solve each parameter in the combination by a standard optimization operation. The angle-domain GRT inversion method keeps away from calculating the inaccurate and unstable illumination matrix. Compared with the conventional method, the angle-domain method can obtain more accurate amplitude information and wider amplitude-preserved range. Several model tests demonstrate the effectiveness and practicability.

RUSSIAN INDUSTRY INVESTMENT SITUATION

Directory of Open Access Journals (Sweden)

O. V. Pochukaeva

2011-01-01

Full Text Available The actual deficiency of investment into Russian industry innovative development increases its technological drag from industries of countries with developed markets. Although the rate of investment into real sectors of Russian economics mid 2000 was higher compared to the previous period, annual investment amounts were much lower than in 1990. At present, highest investment amounts are directed to industry extractive branches and to the commerce. Amounts invested to various economy branches do not correspond to their contribution to the country’sGross Added Product; particularly underinvested are manufacturing industry branches. At present, foreign share in the country economy total investment makes 15–18%. Recently, most interesting for foreigners was investment to machine-building branches with overwhelming part (for example, 90% in 2007–2008 of foreign investment into the machine-building industry being directed to creation of new automobile plants. Today, first place in the list of foreign investors’ preferences in Russia is taken by the machine-tool construction sector.

Investment and uncertainty

DEFF Research Database (Denmark)

Greasley, David; Madsen, Jakob B.

2006-01-01

A severe collapse of fixed capital formation distinguished the onset of the Great Depression from other investment downturns between the world wars. Using a model estimated for the years 1890-2000, we show that the expected profitability of capital measured by Tobin's q, and the uncertainty...... surrounding expected profits indicated by share price volatility, were the chief influences on investment levels, and that heightened share price volatility played the dominant role in the crucial investment collapse in 1930. Investment did not simply follow the downward course of income at the onset...

Determinants of Discretionary Investments

Directory of Open Access Journals (Sweden)

K. S. Sujit

2016-03-01

Full Text Available Theoretical and empirical studies have focused on discretionary investments such as research and development (R&D and advertisement as value-creating activities. This empirical research article examines the determinants of the discretionary investment policy of food sector firms in India. The study aims to analyze the impact of financial policies and firm characteristics on the discretionary investment strategy of the food industry firms. The article uses the partial least squares structural equation modeling (PLS-SEM to understand the drivers of discretionary investment policy of food sector firms. The study finds that investment policy of firms is a major determinant of profitability of food sector firms. Higher investments in capital expenditures and working capital result in higher profitability. Management efficiency significantly influences firm profitability. The results suggest that riskier firms in food sector might focus on R&D investments as a strategy to generate more cash flows. Size of firm is negatively related to R&D intensity. Smaller firms in food sector tend to invest more in R&D. The study does not provide evidence to suggest that profitable firms invest more in R&D activities.

17 CFR 270.17f-2 - Custody of investments by registered management investment company.

Science.gov (United States)

2010-04-01

... registered management investment company. 270.17f-2 Section 270.17f-2 Commodity and Securities Exchanges....17f-2 Custody of investments by registered management investment company. (a) The securities and similar investments of a registered management investment company may be maintained in the custody of such...

Groundhog Day for Medical Artificial Intelligence.

Science.gov (United States)

London, Alex John

2018-05-01

Following a boom in investment and overinflated expectations in the 1980s, artificial intelligence entered a period of retrenchment known as the "AI winter." With advances in the field of machine learning and the availability of large datasets for training various types of artificial neural networks, AI is in another cycle of halcyon days. Although medicine is particularly recalcitrant to change, applications of AI in health care have professionals in fields like radiology worried about the future of their careers and have the public tittering about the prospect of soulless machines making life-and-death decisions. Medicine thus appears to be at an inflection point-a kind of Groundhog Day on which either AI will bring a springtime of improved diagnostic and predictive practices or the shadow of public and professional fear will lead to six more metaphorical weeks of winter in medical AI. © 2018 The Hastings Center.

Artificial Intelligence Project

Science.gov (United States)

1990-01-01

Symposium on Aritificial Intelligence and Software Engineering Working Notes, March 1989. Blumenthal, Brad, "An Architecture for Automating...Artificial Intelligence Project Final Technical Report ARO Contract: DAAG29-84-K-OGO Artificial Intelligence LaboratO"ry The University of Texas at...Austin N>.. ~ ~ JA 1/I 1991 n~~~ Austin, Texas 78712 ________k A,.tificial Intelligence Project i Final Technical Report ARO Contract: DAAG29-84-K-0060

Routledge companion to intelligence studies

CERN Document Server

Dover, Robert; Hillebrand, Claudia

2013-01-01

The Routledge Companion to Intelligence Studies provides a broad overview of the growing field of intelligence studies. The recent growth of interest in intelligence and security studies has led to an increased demand for popular depictions of intelligence and reference works to explain the architecture and underpinnings of intelligence activity. Divided into five comprehensive sections, this Companion provides a strong survey of the cutting-edge research in the field of intelligence studies: Part I: The evolution of intelligence studies; Part II: Abstract approaches to intelligence; Part III: Historical approaches to intelligence; Part IV: Systems of intelligence; Part V: Contemporary challenges. With a broad focus on the origins, practices and nature of intelligence, the book not only addresses classical issues, but also examines topics of recent interest in security studies. The overarching aim is to reveal the rich tapestry of intelligence studies in both a sophisticated and accessible way. This Companion...

78 FR 90 - Defense Intelligence Agency National Intelligence University Board of Visitors Closed Meeting

Science.gov (United States)

2013-01-02

... DEPARTMENT OF DEFENSE Office of the Secretary Defense Intelligence Agency National Intelligence University Board of Visitors Closed Meeting AGENCY: National Intelligence University, Defense Intelligence... hereby given that a closed meeting of the National Intelligence University Board of Visitors has been...

Minimal investment risk of a portfolio optimization problem with budget and investment concentration constraints

Science.gov (United States)

Shinzato, Takashi

2017-02-01

In the present paper, the minimal investment risk for a portfolio optimization problem with imposed budget and investment concentration constraints is considered using replica analysis. Since the minimal investment risk is influenced by the investment concentration constraint (as well as the budget constraint), it is intuitive that the minimal investment risk for the problem with an investment concentration constraint can be larger than that without the constraint (that is, with only the budget constraint). Moreover, a numerical experiment shows the effectiveness of our proposed analysis. In contrast, the standard operations research approach failed to identify accurately the minimal investment risk of the portfolio optimization problem.

Fluid and flexible minds: Intelligence reflects synchrony in the brain’s intrinsic network architecture

Directory of Open Access Journals (Sweden)

Michael A. Ferguson

2017-06-01

Full Text Available Human intelligence has been conceptualized as a complex system of dissociable cognitive processes, yet studies investigating the neural basis of intelligence have typically emphasized the contributions of discrete brain regions or, more recently, of specific networks of functionally connected regions. Here we take a broader, systems perspective in order to investigate whether intelligence is an emergent property of synchrony within the brain’s intrinsic network architecture. Using a large sample of resting-state fMRI and cognitive data (n = 830, we report that the synchrony of functional interactions within and across distributed brain networks reliably predicts fluid and flexible intellectual functioning. By adopting a whole-brain, systems-level approach, we were able to reliably predict individual differences in human intelligence by characterizing features of the brain’s intrinsic network architecture. These findings hold promise for the eventual development of neural markers to predict changes in intellectual function that are associated with neurodevelopment, normal aging, and brain disease. In our study, we aimed to understand how individual differences in intellectual functioning are reflected in the intrinsic network architecture of the human brain. We applied statistical methods, known as spectral decompositions, in order to identify individual differences in the synchronous patterns of spontaneous brain activity that reliably predict core aspects of human intelligence. The synchrony of brain activity at rest across multiple discrete neural networks demonstrated positive relationships with fluid intelligence. In contrast, global synchrony within the brain’s network architecture reliably, and inversely, predicted mental flexibility, a core facet of intellectual functioning. The multinetwork systems approach described here represents a methodological and conceptual extension of earlier efforts that related differences in

Intelligent products : A survey

NARCIS (Netherlands)

Meyer, G.G.; Främling, K.; Holmström, J.

This paper presents an overview of the field of Intelligent Products. As Intelligent Products have many facets, this paper is mainly focused on the concept behind Intelligent Products, the technical foundations, and the achievable practical goals of Intelligent Products. A novel classification of

Benefits of collective intelligence: Swarm intelligent foraging, an ethnographic research

Directory of Open Access Journals (Sweden)

Sivave Mashingaidze

2014-12-01

Full Text Available Wisdom of crowds; bees, colonies of ants, schools of fish, flocks of birds, and fireflies flashing synchronously are all examples of highly coordinated behaviors that emerge from collective, decentralized intelligence. This article is an ethnographic study of swarm intelligence foraging of swarms and the benefits derived from collective decision making. The author used using secondary data analysis to look at the benefits of swarm intelligence in decision making to achieve intended goals. Concepts like combined decision making and consensus were discussed and four principles of swarm intelligence were also discussed viz; coordination, cooperation, deliberation and collaboration. The research found out that collective decision making in swarms is the touchstone of achieving their goals. The research further recommended corporate to adopt collective intelligence for business sustainability.

Intelligence: Real or artificial?

OpenAIRE

Schlinger, Henry D.

1992-01-01

Throughout the history of the artificial intelligence movement, researchers have strived to create computers that could simulate general human intelligence. This paper argues that workers in artificial intelligence have failed to achieve this goal because they adopted the wrong model of human behavior and intelligence, namely a cognitive essentialist model with origins in the traditional philosophies of natural intelligence. An analysis of the word “intelligence” suggests that it originally r...

[Are investment activity and backlog in investments risks for university medicine in Germany?].

Science.gov (United States)

Amann, I; Heyder, R; Strehl, R

2009-08-01

University medicine in Germany requires significantly higher funding and investment because its tasks not only include health care but also research and teaching. However, over recent decades less and less funding compared to the development of the turnover has been available. This trend is due to decreasing public funding. The diminishing funding has caused a major backlog of investment at German university hospitals. The first part of the article summarizes the investments policies at university hospitals and other hospitals. The second part describes the investment needs in university medicine and exposes risk factors for research, education and health care due to the process of investment planning and realization. Goal-oriented solutions are shown to facilitate investments. The third part discusses several risks caused by insufficient investments in university medicine. There are special risks for research, teaching, and the capacity for innovation in university medicine besides economical and medical risks. Some policies and financial strategies to overcome the backlog in investments are presented. After a summary, the article concludes with some practical examples of further measures to ensure sustainable funding.

Emotional intelligence as a competence for the animal science professional

Directory of Open Access Journals (Sweden)

Paulo Henrique Padilha Alves

2017-12-01

Full Text Available ABSTRACT: Corporations started to invest in human capital to employ professionals that presented a holistic view of the commercial area and that were able to utilize the available resources in each demanded situation consciously. Moreover, professionals should also be emotionally centered regarding emotional intelligence (EI and should have personal and vocational skills. In addition, the labor market demands zootechnicians to be competent at having satisfactory work performance together with the EI abilities. The EI contributes to the presence of a precise particularity in the zootechnician, which will act in different contexts, including the organizational area to promote the training, management of human capital and the physical resources of the agroindustrial organizations.

Foreign direct investment vs domestic investment across the European Union. Case study: Romania

Directory of Open Access Journals (Sweden)

Romeo Victor IONESCU

2015-11-01

Full Text Available The paper deals with the idea that investment process is important not only for the economic growth, but for the global integration. There is a powerful connection between FDI and domestic investments. As a result, the analysis is focused on FDI flows in EU28 and Euro area. The comparative analysis is followed by regression, in order to point out the disparities between Member States and their trend. The average value of inward and outward FDI flows is analysed using FDI intensity. A distinct part of the paper is focused on domestic investment process and analyses total investment, investment in construction and investment in equipment. The analysis is supported by the latest official statistical data, pertinent diagrams and tables. The main conclusion of the paper is that the economic crisis in Europe led to a decrease in FDI and domestic investment flows.

Tariffs and investments at the Brazilian electric sector; Tarifas e investimentos no setor eletrico brasileiro

Energy Technology Data Exchange (ETDEWEB)

Vela, Jorge Alberto Alcala; Almeida, Denizart do Rosario [ELETROBRAS - Centrais Eletricas Brasileiras, Rio de Janeiro, RJ (Brazil)

2006-07-01

The objective of the work is to identify the impacts of the variations in the tariffs of the electricity on the standard of growth of the consumption of electric energy, and the role that these variations had exerted in the allocation of resources by the companies of the sector, in the period 1995-2004. In this period, changes in the habits of consumption of energy due the adopted during the rationing, explain, in part, the reduction of the income-elasticity of the consumption of electric energy, but the contribution of a significant effect-price was important for this reduction. Also are evidenced, in this work, the categories of use and the regions that had more contributed for this effect. For the allocation of resources, from 1998 a decline of the participation of the investments in the sector in the total of investments of the economy is observed, with the companies of the sector presenting differentiated behaviors visibly. The companies of distribution apparently more privileged for the formation of resources, have presented, in the recent years, a declining evolution in its rate of investments when compared with the others segments. Among the determinative factors of the decisions of investment of the companies of distribution, can be mentioned the change in the standard of growth of the consumption and the effect of the evolution of the opportunity cost of the inversions. (author)

76 FR 15057 - Notice of Proposed Exemption; BlackRock, Inc. and Its Investment Advisory, Investment Management...

Science.gov (United States)

2011-03-18

... Administration Notice of Proposed Exemption; BlackRock, Inc. and Its Investment Advisory, Investment Management...; BlackRock, Inc. and Its Investment Advisory, Investment Management and Broker-Dealer Affiliates and... its investment advisory, investment management and broker-dealer affiliates and their successors. The...

Inversions

Science.gov (United States)

Brown, Malcolm

2009-01-01

Inversions are fascinating phenomena. They are reversals of the normal or expected order. They occur across a wide variety of contexts. What do inversions have to do with learning spaces? The author suggests that they are a useful metaphor for the process that is unfolding in higher education with respect to education. On the basis of…

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)

Action Investment Energy Games

DEFF Research Database (Denmark)

Larsen, Kim Guldstrand; Laursen, Simon; Srba, Jiri

2012-01-01

We introduce the formalism of action investment energy games where we study the trade-off between investments limited by given budgets and resource constrained (energy) behavior of the underlying system. More specifically, we consider energy games extended with costs of enabling actions and fixed...... budgets for each player. We ask the question whether for any Player 2 investment there exists a Player 1 investment such that Player 1 wins the resulting energy game. We study the action investment energy game for energy intervals with both upper and lower bounds, and with a lower bound only, and give...

Intelligence Issues for Congress

Science.gov (United States)

2013-04-23

open source information— osint (newspapers...by user agencies. Section 1052 of the Intelligence Reform Act expressed the sense of Congress that there should be an open source intelligence ...center to coordinate the collection, analysis, production, and dissemination of open source intelligence to other intelligence agencies. An Open Source

Orchestrating Multiple Intelligences

Science.gov (United States)

Moran, Seana; Kornhaber, Mindy; Gardner, Howard

2006-01-01

Education policymakers often go astray when they attempt to integrate multiple intelligences theory into schools, according to the originator of the theory, Howard Gardner, and his colleagues. The greatest potential of a multiple intelligences approach to education grows from the concept of a profile of intelligences. Each learner's intelligence…

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.

Federal Investment

Science.gov (United States)

Campbell, Sheila; Tawil, Natalie

2013-01-01

The federal government pays for a wide range of goods and services that are expected to be useful some years in the future. Those purchases, called investment, fall into three categories: physical capital, research and development (R&D), and education and training. There are several economic rationales for federal investment. It can provide…

Research of Classical and Intelligent Information System Solutions for Criminal Intelligence Analysis

OpenAIRE

Šimović, Vladimir

2001-01-01

The objective of this study is to present research on classical and intelligent information system solutions used in criminal intelligence analysis in Croatian security system theory. The study analyses objective and classical methods of information science, including artificial intelligence and other scientific methods. The intelligence and classical software solutions researched, proposed, and presented in this study were used in developing the integrated information system for the Croatian...

Artificial Consciousness or Artificial Intelligence

OpenAIRE

Spanache Florin

2017-01-01

Artificial intelligence is a tool designed by people for the gratification of their own creative ego, so we can not confuse conscience with intelligence and not even intelligence in its human representation with conscience. They are all different concepts and they have different uses. Philosophically, there are differences between autonomous people and automatic artificial intelligence. This is the difference between intelligence and artificial intelligence, autonomous versus a...

Training simulators for power plant operation based in multimedia, intelligent tutorials and virtual reality; Simuladores para entrenamiento en la operacion de centrales basados en multimedia, tutores inteligentes y realidad virtual

Energy Technology Data Exchange (ETDEWEB)

Rossano Roman, Miguel; Tavira Mondragon, Jose A.; Romero Jimenez, Guillermo; Buenabad Arias, Maria de los Angeles [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

1997-12-31

The possibility of utilizing simulators to support the fossil fuel power plants operation personnel training, is analyzed. These simulators can be based in multimedia, intelligent tutorials and virtual reality. The software and hardware advances of these technologies are analyzed and it is concluded that the simulators development for operators training supported in the fore mentioned technologies represents a new alternative for the instruction of personnel of this type of power stations that has to be analyzed and evaluated, since one of the disadvantages of this type of technologies is the equipment and software investment cost [Espanol] Se analiza la posibilidad de utilizar simuladores para ayudar al entrenamiento del personal en la operacion de centrales termoelectricas, dichos simuladores pueden estar basados en multimedia, tutores inteligentes y realidad virtual. Se describen los avances en software y hardware de estas tecnologias y se concluye en que el desarrollo de simuladores para el entrenamiento de operadores apoyados con las tecnologias antes mencionadas representa una nueva alternativa para la instruccion del personal de este tipo de centrales, que hay que analizar y evaluar, ya que una de las desventajas de este tipo de tecnologias es el costo de inversion en equipo y software

Training simulators for power plant operation based in multimedia, intelligent tutorials and virtual reality; Simuladores para entrenamiento en la operacion de centrales basados en multimedia, tutores inteligentes y realidad virtual

Energy Technology Data Exchange (ETDEWEB)

Rossano Roman, Miguel; Tavira Mondragon, Jose A; Romero Jimenez, Guillermo; Buenabad Arias, Maria de los Angeles [Instituto de Investigaciones Electricas, Cuernavaca (Mexico)

1998-12-31

The possibility of utilizing simulators to support the fossil fuel power plants operation personnel training, is analyzed. These simulators can be based in multimedia, intelligent tutorials and virtual reality. The software and hardware advances of these technologies are analyzed and it is concluded that the simulators development for operators training supported in the fore mentioned technologies represents a new alternative for the instruction of personnel of this type of power stations that has to be analyzed and evaluated, since one of the disadvantages of this type of technologies is the equipment and software investment cost [Espanol] Se analiza la posibilidad de utilizar simuladores para ayudar al entrenamiento del personal en la operacion de centrales termoelectricas, dichos simuladores pueden estar basados en multimedia, tutores inteligentes y realidad virtual. Se describen los avances en software y hardware de estas tecnologias y se concluye en que el desarrollo de simuladores para el entrenamiento de operadores apoyados con las tecnologias antes mencionadas representa una nueva alternativa para la instruccion del personal de este tipo de centrales, que hay que analizar y evaluar, ya que una de las desventajas de este tipo de tecnologias es el costo de inversion en equipo y software

Investment in flood protection measures under climate change uncertainty. An investment decision

Energy Technology Data Exchange (ETDEWEB)

Bruin, Karianne de

2012-11-01

Recent river flooding in Europe has triggered debates among scientists and policymakers on future projections of flood frequency and the need for adaptive investments, such as flood protection measures. Because there exists uncertainty about the impact of climate change of flood risk, such investments require a careful analysis of expected benefits and costs. The objective of this paper is to show how climate change uncertainty affects the decision to invest in flood protection measures. We develop a model that simulates optimal decision making in flood protection, it incorporates flexible timing of investment decisions and scientific uncertainty on the extent of climate change impacts. This model allows decision-makers to cope with the uncertain impacts of climate change on the frequency and damage of river flood events and minimises the risk of under- or over-investment. One of the innovative elements is that we explicitly distinguish between structural and non-structural flood protection measures. Our results show that the optimal investment decision today depends strongly on the cost structure of the adaptation measures and the discount rate, especially the ratio of fixed and weighted annual costs of the measures. A higher level of annual flood damage and later resolution of uncertainty in time increases the optimal investment. Furthermore, the optimal investment decision today is influenced by the possibility of the decision-maker to adjust his decision at a future moment in time.(auth)

Intelligent mechatronics; Intelligent mechatronics

Energy Technology Data Exchange (ETDEWEB)

Hashimoto, H. [The University of Tokyo, Tokyo (Japan). Institute of Industrial Science

1995-10-01

Intelligent mechatronics (IM) was explained as follows: a study of IM essentially targets realization of a robot namely, but in the present stage the target is a creation of new values by intellectualization of machine, that is, a combination of the information infrastructure and the intelligent machine system. IM is also thought to be constituted of computers positively used and micromechatronics. The paper next introduces examples of IM study, mainly those the author is concerned with as shown below: sensor gloves, robot hands, robot eyes, tele operation, three-dimensional object recognition, mobile robot, magnetic bearing, construction of remote controlled unmanned dam, robot network, sensitivity communication using neuro baby, etc. 27 figs.

77 FR 35082 - Arrow Investment Advisers, LLC and Arrow Investments Trust; Notice of Application

Science.gov (United States)

2012-06-12

... SECURITIES AND EXCHANGE COMMISSION [Investment Company Act Release No. 30100; 812-13937] Arrow Investment Advisers, LLC and Arrow Investments Trust; Notice of Application June 6, 2012. AGENCY: Securities... 6(c) of the Investment Company Act of 1940 (``Act'') for an exemption from sections 2(a)(32), 5(a)(1...

Brain Intelligence: Go Beyond Artificial Intelligence

OpenAIRE

Lu, Huimin; Li, Yujie; Chen, Min; Kim, Hyoungseop; Serikawa, Seiichi

2017-01-01

Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable growth of Japan's economy and solves various social problems. In recent years, AI has attracted attention as a key for growth in developed countries such as Europe and the United States and developing countries such as China and India. The attention has been focused mainly on developing new artificial intelligence information communication ...

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.

Multilateral negotiations in foreign investment

Directory of Open Access Journals (Sweden)

David Orlando Ruiz Castro

2016-04-01

Full Text Available Direct foreign investment is one of the most important economic variables in the world. Aspects related to international investment agreements are reaching an outstanding place in economic international diplomacy. Nowadays, in the multilateral level there is not an agreement regarding investment and therefore this study is focused on this particular type of agreement. In order to reach this objective this study shows, first of all, how different attempts have been developed to get a multicultural a agreement regarding investment, and to refuse the general opinion that says that exponential growth of foreign investment flows in recent years has given impulse to launch a multilateral investment agreement. Secondly, this study discusses about regulations related to foreign investment under current WTO regulations, such as investment, measure agreements, and service agreement. Then, it analyzes what has happened inside the WTO from the creation of the investment team at the Singapore Conference to the failed Conference in Cancun. Finally, it analyzes the main arguments against the multilateral agreement and the effects of future possible multilateral negotiations in investment and it ends with some recommendations and conclusions.

Professionalizing Intelligence Analysis

Directory of Open Access Journals (Sweden)

James B. Bruce

2015-09-01

Full Text Available This article examines the current state of professionalism in national security intelligence analysis in the U.S. Government. Since the introduction of major intelligence reforms directed by the Intelligence Reform and Terrorism Prevention Act (IRTPA in December, 2004, we have seen notable strides in many aspects of intelligence professionalization, including in analysis. But progress is halting, uneven, and by no means permanent. To consolidate its gains, and if it is to continue improving, the U.S. intelligence community (IC should commit itself to accomplishing a new program of further professionalization of analysis to ensure that it will develop an analytic cadre that is fully prepared to deal with the complexities of an emerging multipolar and highly dynamic world that the IC itself is forecasting. Some recent reforms in intelligence analysis can be assessed against established standards of more fully developed professions; these may well fall short of moving the IC closer to the more fully professionalized analytical capability required for producing the kind of analysis needed now by the United States.

Investment in capital markets

OpenAIRE

Ledenyov, Dimitri O.; Ledenyov, Viktor O.

2017-01-01

Investment in Capital Markets creates a strategic vision on the financial capital investment in the capital markets with the aim to get an increased return premium in the short and long time periods. The book is written with a main goal to explain the pros and cons of the financial capital investment in the capital markets, discussing the sophisticated investment concepts and techniques in the simple understandable readable general format language. We would like to highlight the three interes...

Pension Fund Investment Policy

OpenAIRE

Zvi Bodie

1988-01-01

The purpose of this paper is to survey what is known about the investment policy of pension funds. Pension fund investment policy depends critically on the type of plan: defined contribution versus defined benefit. For defined contribution plans investment policy is not much different than it is for an individual deciding how to invest the money in an Individual Retirement Account (IRA). The guiding principle is efficient diversification, that is, achieving the maximum expected return for any...

Revolutionary Intelligence: The Expanding Intelligence Role of the Iranian Revolutionary Guard Corps

Directory of Open Access Journals (Sweden)

Udit Banerjea

2015-09-01

Full Text Available The Iranian Revolutionary Guard Corps (IRGC is a military and paramilitary organization that is meant to defend the ideals of the Iranian Islamic Revolution in 1979. Since its formation, the IRGC has grown in influence and its intelligence role has expanded. This paper examines the role of the IRGC in Iran’s intelligence system through a comprehensive analysis of the organization of the IRGC’s intelligence arm, along with its operations and capabilities. In doing so, the scope, objectives, resources, customers, and sponsors of the IRGC’s intelligence activities are also analyzed. Additionally, this paper explores how the IRGC interacts with the government of Iran, the Ministry of Intelligence and Security (MOIS, other key internal stakeholders, and foreign client organizations. A key focus of this analysis is the evolution of the relationship between the IRGC and the MOIS and the growing influence of the IRGC in Iran’s intelligence community over the last decade. The paper concludes that the IRGC has now eclipsed the MOIS within Iran’s intelligence community and is one of the most powerful institutions in Iranian politics today, using its intelligence activities as its key means of maintaining power and influence within the country.

77 FR 32952 - Defense Intelligence Agency National Intelligence University Board of Visitors Closed Meeting

Science.gov (United States)

2012-06-04

... DEPARTMENT OF DEFENSE Office of the Secretary Defense Intelligence Agency National Intelligence University Board of Visitors Closed Meeting AGENCY: Department of Defense, Defense Intelligence Agency, National Intelligence University. ACTION: Notice of closed meeting. SUMMARY: Pursuant to the provisions of...

Optimal Regulation of Lumpy Investments

NARCIS (Netherlands)

Zwart, G.; Broer, D.P.

2012-01-01

When a monopolist has discretion over the timing of infrastructure investments, regulation of post-investment prices interferes with incentivizing socially optimal investment timing. In a model of regulated lumpy investment under uncertainty, we study regulation when the regulator can condition

An Information-Based Trade Off between Foreign Direct Investment and Foreign Portfolio Investment

OpenAIRE

Itay Goldstein; Assaf Razin

2005-01-01

The paper develops a model of foreign direct investments (FDI) and foreign portfolio investments (FPI).The model describes an information-based trade off between direct investments and portfolio investments. Direct investors are more informed about the fundamentals of their projects. This information enables them to manage their projects more efficiently. However, it also creates an asymmetric-information problem in case they need to sell their projects prematurely, and reduces the price they...

Guidelines for integrating socially responsible investment in the investment process

NARCIS (Netherlands)

de Graaf, F.J.; Slager, A.

2009-01-01

Socially Responsible Investment (SRI) is of growing importance for institutional investors. Our analysis shows that SRI strategies can be grouped in ethically-based, investment-driven and value-ensuring objectives. We demonstrate that this categorization strengthens decisionmaking in SRI. Based on

Exa mining The Measurement Methods of Investment Properties of Real Estate Investment Trusts According to Turkish Accounting Standard 40: Investment Properties Standard

Directory of Open Access Journals (Sweden)

Emine Çına Bal

2015-03-01

Full Text Available Recently, the real estate industry has developed rapidly in Turkey. As an investment tool,investment in real estate became essential. Within the framework of the Capital Markets Law, organized by the Capital Markets Board of Turkey real estate investment trusts, real estate, real estate-based projects, and real estate capital market instruments by investing in a portfolio management company operating in the specific type. In this study, measurement methods of investment properties after recogn 31 real estate investment trust companies that traded in Borsa Istanbul is analyzed in order to examine the effect of policy selection on return on equity, return on asset and market to book value ratio of the companies’ financial statements and disclosures by using the nonparametric test of Mann-Whitney U Test. Non-consolidated financial statements and disclosures for 2013 of 21 real estate investment trust companies is included to the examination. Results of the test that is individually applied for each ratio show that the effect of policy selection on the ratios is statistically insignificant.

Intelligent playgrounds

DEFF Research Database (Denmark)

Larsen, Lasse Juel

2009-01-01

This paper examines play, gaming and learning in regard to intelligent playware developed for outdoor use. The key questions are how does these novel artefacts influence the concept of play, gaming and learning. Up until now play and game have been understood as different activities. This paper...... examines if the sharp differentiation between the two can be uphold in regard to intelligent playware for outdoor use. Play and game activities will be analysed and viewed in conjunction with learning contexts. This paper will stipulate that intelligent playware facilitates rapid shifts in contexts...

Artificial intelligence

CERN Document Server

Ennals, J R

1987-01-01

Artificial Intelligence: State of the Art Report is a two-part report consisting of the invited papers and the analysis. The editor first gives an introduction to the invited papers before presenting each paper and the analysis, and then concludes with the list of references related to the study. The invited papers explore the various aspects of artificial intelligence. The analysis part assesses the major advances in artificial intelligence and provides a balanced analysis of the state of the art in this field. The Bibliography compiles the most important published material on the subject of

Advanced intelligence and mechanism approach

Institute of Scientific and Technical Information of China (English)

ZHONG Yixin

2007-01-01

Advanced intelligence will feature the intelligence research in next 50 years.An understanding of the concept of advanced intelligence as well as its importance will be provided first,and detailed analysis on an approach,the mechanism approach.suitable to the advanced intelligence research will then be flolowed.And the mutual relationship among mechanism approach,traditional approaches existed in artificial intelligence research,and the cognitive informatics will be discussed.It is interesting to discover that mechanism approach is a good one to the Advanced Intelligence research and a tmified form of the existed approaches to artificial intelligence.

Stock prices and business investment

OpenAIRE

Yaron Leitner

2007-01-01

Is there a link between the stock market and business investment? Empirical evidence indicates that there is. A firm tends to invest more when its stock price increases, and it tends to invest less when the price falls. In “Stock Prices and Business Investment,” Yaron Leitner discusses existing research that explains this relationship. One question under consideration is whether the stock market actually improves investment decisions.

INVESTMENT ATTRACTIVENESS OF ENTERPRISES

Directory of Open Access Journals (Sweden)

Nadiia Davydenko

2017-03-01

Full Text Available In the article the approaches to defining the essence of the concept of “investment attractiveness of enterprises” were analyzed. On the example of "Agrofirm Brusilov" depth analysis of the agricultural enterprises to evaluate of profitability, liquidity, solvency, financial stability, the timing of the return of invested funds and minimizing investment risks was conducted. To study methods of rating and system analysis were used. To justify the conditions of  increasing investment attractiveness farms method of scoring was used. It was established as a result of the use of integrated evaluation of the financial position one can see problem aspects of financial position of the company and develop measures to enhance liquidity, solvency, identify potential for raising the efficiency of company and prevention of financial crisis. The analysis of financial position showed that the management of the enterprise doesn’t  think  about  financial stability and solvency, does not understand the benefit of borrowed capital. Using research results in practice of agricultural enterprises allows us to give a real evaluation of investment attractiveness and justify ways to improve it. Key words: investments, investment attractiveness, potential business, financial position.

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...

Are stricter investment rules contagious? Host country competition for foreign direct investment through international agreements

OpenAIRE

Neumayer, Eric; Nunnenkamp, Peter; Roy, Martin

2014-01-01

We argue that the trend toward international investment agreements (IIAs) with stricter investment rules is driven by competitive diffusion, namely defensive moves of developing countries concerned about foreign direct investment (FDI) diversion in favor of competing host countries. Accounting for spatial dependence in the formation of bilateral investment treaties (BITs) and preferential trade agreements (PTAs) that contain investment provisions, we find that the increase in agreements with ...

13 CFR 301.4 - Investment rates.

Science.gov (United States)

2010-01-01

... 13 Business Credit and Assistance 1 2010-01-01 2010-01-01 false Investment rates. 301.4 Section... ELIGIBILITY, INVESTMENT RATE AND PROPOSAL AND APPLICATION REQUIREMENTS Investment Rates and Matching Share Requirements § 301.4 Investment rates. (a) Minimum Investment Rate. There is no minimum Investment Rate for a...

Environmental investment funds. Investing into the future. Umweltfonds. Investieren in die Zukunft

Energy Technology Data Exchange (ETDEWEB)

Homolka, W [Bayerische Hypotheken- und Wechsel-Bank AG, Muenchen (Germany)

1990-01-01

The book wants to show that ecologically oriented and socially responsible investment has so far been underrated as a criterion of choice for finance decisions. Environmental investment funds offer the chance to make important investments into the future and the development of new technologies and methods of production, provided the openness of their claim is appreciated which is to go for anything that will improve our environment. Such confidence in the positive forces of the market is adequately rewarded, as international examples show. Environmental investment funds are a form of finance management for far-sighted investors and who are committed to the environment. The author presents the bases of ethic-ecologically oriented fund investment, reports experience abroad, and gives a current overview of the situation, nationally and internationally, in this sector of the finance market. (orig./HSCH).

Before and Beyond Anticipatory Intelligence: Assessing the Potential for Crowdsourcing and Intelligence Studies

Directory of Open Access Journals (Sweden)

Alexander Halman

2015-10-01

Full Text Available Crowdsourcing is a new tool for businesses, academics, and now intelligence analysts. Enabled by recent technology, crowdsourcing allows researchers to harness the wisdom of crowds and provide recommendations and insight into complex problems. This paper examines the potential benefits and limitations of crowdsourcing for intelligence analysis and the intelligence community beyond its primary use: anticipatory intelligence. The author constructs a model and compares it to existing crowdsourcing theories in business, information science, and public policy. Finally, he offers advice for intelligence analysis and public policy.

Finans/Invest

DEFF Research Database (Denmark)

Bechmann, Ken L.

2014-01-01

Som det vil være velkendt for de fleste læsere, så er der skiftedag på Finans/Invest. Således var Finans/Invest 8/13 det sidste nummer med Anders Grosen som redaktør, og nærværende nummer er det første med professor Ken L. Bechmann som redaktør. I denne første leder beskriver den nye redaktør lidt...... om hans syn på Finans/Invest og tidsskriftets store betydning for formidling af faglig viden inden for finansiering. Yderligere beskrives nogle af de mindre redaktionelle ændringer, som den nye redaktør har planlagt. Endelig indeholder lederen traditionen tro redaktørens refleksioner over og...

Firm Decisions: Determinants of Investments

OpenAIRE

Ionescu Alexandra

2011-01-01

The investment decision is part of a companies’ investment strategy. Defined as a logical set of technical and economic information, the investment strategy determines the main objectives of the firm regarding its investments, based on studies, analysis and simulations. It also establishes the actions to be undertaken in order to achieve the objectives, methods of achieving them, sources of funding and resource allocation methods. Still, all these are influenced by several factors. The invest...

2015 Chinese Intelligent Systems Conference

CERN Document Server

Du, Junping; Li, Hongbo; Zhang, Weicun; CISC’15

2016-01-01

This book presents selected research papers from the 2015 Chinese Intelligent Systems Conference (CISC’15), held in Yangzhou, China. The topics covered include multi-agent systems, evolutionary computation, artificial intelligence, complex systems, computation intelligence and soft computing, intelligent control, advanced control technology, robotics and applications, intelligent information processing, iterative learning control, and machine learning. Engineers and researchers from academia, industry and the government can gain valuable insights into solutions combining ideas from multiple disciplines in the field of intelligent systems.

Intelligence and the machinery of government: conceptualizing the intelligence community

OpenAIRE

Davies, PHJ

2010-01-01

This article argues that the failure to address intelligence agencies as public organizations part and parcel with the overt machinery of government constitutes a significant lacuna both in the specialist study of intelligence and the broader discipline of public administration studies. The role and status of intelligence institutions as aspects of the machinery of central government is examined, along with the prospects of certain key paradigms in the field for understanding those institutio...

Secular gains in fluid intelligence: evidence from the Culture-Fair intelligence test.

Science.gov (United States)

Colom, Roberto; García-López, Oscar

2003-01-01

There is no doubt about the reality of the secular increase in cognitive test scores. However, there is disagreement about a key issue: does the observed increase reflect a genuine upward trend in intelligence? Evidence from the Raven test is clear, although there are some doubts about its adequacy as a fine-grained measure of fluid intelligence. Evidence from the so-called 'method of correlated vectors' is much less clear. When a crystallized battery is considered, the results leave little doubt: the increase does not reflect gains in general intelligence. However, when a fluid battery is analysed, the increase does reflect gains in general intelligence. The present study uses one of the best available measures of fluid intelligence (the Culture-Fair intelligence test) to provide new evidence for the secular increase in fluid intelligence, beyond the findings from the Raven test and the method of correlated vectors. A total of 4498 Spanish high school students and high school graduates were tested within a time interval of 20 and 23 years, respectively. The results show that there is a clear upward trend in intelligence. Moreover, students show an average increase equivalent to 6 IQ points, while graduates show an average increase of 4 IQ points. Therefore, more selected people (graduates) show a smaller increase than less selected people (students). Some implications are discussed.

Scholastic Success: Fluid Intelligence, Personality, and Emotional Intelligence

Science.gov (United States)

Downey, Luke A.; Lomas, Justine; Billings, Clare; Hansen, Karen; Stough, Con

2014-01-01

The aim of the current study was to examine the role of fluid intelligence, personality traits, and emotional intelligence (EI) in predicting female Year 9 students' grade point average (GPA) and to determine whether any differences in scholastic performance were related to differences in EI or Personality. Two-hundred and forty-three female…

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

Directory of Open Access Journals (Sweden)

José-Manuel de Haro

2014-05-01

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

Generalized inverses theory and computations

CERN Document Server

Wang, Guorong; Qiao, Sanzheng

2018-01-01

This book begins with the fundamentals of the generalized inverses, then moves to more advanced topics. It presents a theoretical study of the generalization of Cramer's rule, determinant representations of the generalized inverses, reverse order law of the generalized inverses of a matrix product, structures of the generalized inverses of structured matrices, parallel computation of the generalized inverses, perturbation analysis of the generalized inverses, an algorithmic study of the computational methods for the full-rank factorization of a generalized inverse, generalized singular value decomposition, imbedding method, finite method, generalized inverses of polynomial matrices, and generalized inverses of linear operators. This book is intended for researchers, postdocs, and graduate students in the area of the generalized inverses with an undergraduate-level understanding of linear algebra.

GLOBAL TRENDS OF ALTERNATIVE INVESTMENTS

Directory of Open Access Journals (Sweden)

Ivan LUCHIAN

2016-08-01

Full Text Available An alternative investment is an investment product other than the traditional investments of stocks, bonds, cash, or property. The term is a relatively loose one and includes tangible assets such as art, wine, antiques, coins, or stamps and some financial assets such as commodities, hedge funds, venture capital,and others. At the moment it was created a global industry opportunities for making investments in nontraditional form. The aim of this paper consists in demonstrating the possibilities of these investments. For this have been studied related main international markets, a fter then deducted world dominant trends. This article is concerned to present some details of alternative investments global market.

Complementary Machine Intelligence and Human Intelligence in Virtual Teaching Assistant for Tutoring Program Tracing

Science.gov (United States)

Chou, Chih-Yueh; Huang, Bau-Hung; Lin, Chi-Jen

2011-01-01

This study proposes a virtual teaching assistant (VTA) to share teacher tutoring tasks in helping students practice program tracing and proposes two mechanisms of complementing machine intelligence and human intelligence to develop the VTA. The first mechanism applies machine intelligence to extend human intelligence (teacher answers) to evaluate…

A Belief-Space Approach to Integrated Intelligence - Research Area 10.3: Intelligent Networks

Science.gov (United States)

2017-12-05

A Belief-Space Approach to Integrated Intelligence- Research Area 10.3: Intelligent Networks The views, opinions and/or findings contained in this...Technology (MIT) Title: A Belief-Space Approach to Integrated Intelligence- Research Area 10.3: Intelligent Networks Report Term: 0-Other Email: tlp...students presented progress and received feedback from the research group . o wrote papers on their research and submitted them to leading conferences

Relationship between Emotional Intelligence and Aggression on Boxers

Directory of Open Access Journals (Sweden)

Hande Baba Kaya

2017-09-01

Full Text Available Emotional Quotient is defined as the ability to perceive, use, manage and understand the emotions, which is associated with the better psychological adjustment. Analyzing studies in the literature, an inverse relationship was observed between emotional quotient and aggressive behavior. Therefore, the purpose of this study is examining the relationship between emotional quotient and aggression on boxers. This study is important for the boxers. That is why emotion management has a great role for the success in the ring. Boxing sport is based on the technical implementation. During the game boxer must control the emotions, which push him to the aggression. If emotions are not able to control during the game, anger and aggression will prevent the success. The findings of this study will demonstrate the relationship between the sports environment and emotional intelligence, in particular inferences to be made about the boxer. The sample of their search consists of 200 boxers who do sports in the districts of Eskişehir, Zonguldak, Bolu, Bursa, Ankara, Sakarya, Gaziantep and Antalya in Turkey. In this study, variation of demographic characteristics are determined Personal Information form, Bar-on Emotional Quotient Scale to determine the emotional quotient [Bar-On 1997; Acar, 2001], and Aggression Inventory were used which was developed by Kocatürk [Kocatürk, 1982]. The relationship between emotional quotient and aggression were analyzed Pearson product moment correlation coefficients. The function of emotional intelligence explanation for aggression was tested by stepwise multiple regression analysis. According to findings of the research have meaningful negative relationship between aggression and all dimensions of the emotional quotient. In addition, coping with stress and interpersonal relationships significant size aggression scores (R2 = .26, F (2,197 = 34,252, p <.001 were found to explain. As a result, boxer aggression in terms of emotional

12 CFR 704.5 - Investments.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Investments. 704.5 Section 704.5 Banks and... § 704.5 Investments. (a) Policies. A corporate credit union must operate according to an investment... must address, at a minimum: (1) Appropriate tests and criteria for evaluating investments and...

Artificial Intelligence

CERN Document Server

Warwick, Kevin

2011-01-01

if AI is outside your field, or you know something of the subject and would like to know more then Artificial Intelligence: The Basics is a brilliant primer.' - Nick Smith, Engineering and Technology Magazine November 2011 Artificial Intelligence: The Basics is a concise and cutting-edge introduction to the fast moving world of AI. The author Kevin Warwick, a pioneer in the field, examines issues of what it means to be man or machine and looks at advances in robotics which have blurred the boundaries. Topics covered include: how intelligence can be defined whether machines can 'think' sensory

Intelligence of programs

Energy Technology Data Exchange (ETDEWEB)

Novak, D

1982-01-01

A general discussion about the level of artificial intelligence in computer programs is presented. The suitability of various languages for the development of complex, intelligent programs is discussed, considering fourth-generation language as well as the well established structured COBOL language. It is concluded that the success of automation in many administrative fields depends to a large extent on the development of intelligent programs.

77 FR 18277 - Domini Social Investment Trust and Domini Social Investments LLC; Notice of Application

Science.gov (United States)

2012-03-27

... SECURITIES AND EXCHANGE COMMISSION [Investment Company Act Release No. 29984; 812-13971] Domini Social Investment Trust and Domini Social Investments LLC; Notice of Application March 21, 2012. AGENCY... the Investment Company Act of 1940 (``Act'') for an exemption from section 15(a) of the Act and rule...

Quantitative investment analysis

CERN Document Server

DeFusco, Richard

2007-01-01

In the "Second Edition" of "Quantitative Investment Analysis," financial experts Richard DeFusco, Dennis McLeavey, Jerald Pinto, and David Runkle outline the tools and techniques needed to understand and apply quantitative methods to today's investment process.

Power plants investment decision-making in consideration of investment risk

International Nuclear Information System (INIS)

Oda, Junichiro; Matsuhashi, Ryuji; Yoshida, Yoshikuni; Takashima, Ryuta

2005-01-01

In this paper, we consider the investment risk of nuclear power plants using the real options approach. It is essential that the Japanese society evaluate the investment risk, because nuclear power plants are facing definite uncertainty and Japanese governments intend to promote and assist nuclear power plants through subsidies and policy actions. We assumed that the wholesale market prices of electricity constitute the definite uncertainty and that the wholesale market prices follow the geometric Brownian motion with drift. Using the Bellman equation and a lattice framework, we evaluated the value of investment opportunity, the value of equipment, and the critical prices that are optimal prices to invest in a nuclear power plant in the finite time horizon. This analysis shows that higher volatility of the wholesale market prices would give power companies lower incentive to construct electric power plants, particularly capital-intensive power plants. In order to deliberate and hold the Japanese governments accountable for the economics of nuclear power plants, multifaceted evaluation is needed. (author)

Relationships between the Kaufman Brief Intelligence Test and the Wechsler Adult Intelligence Scale-Third Edition.

Science.gov (United States)

Walters, Steven O; Weaver, Kenneth A

2003-06-01

The Kaufman Brief Intelligence Test detects learning problems of young students and is a screen for whether a more comprehensive test of intelligence is needed. A study to assess whether this test was valid as an adult intelligence test was conducted with 20 undergraduate psychology majors. The correlations between the Kaufman Brief Intelligence Test's Composite, Vocabulary, and Matrices test scores and their corresponding Wechsler Adult Intelligence Scale-Third Edition test scores, the Full Scale (r=.88), Verbal (r=.77), and Performance scores (r=.87), indicated very strong relationships. In addition, no significant differences were obtained between the Composite, Vocabulary, and Matrices means of the Kaufman Brief Intelligence Test and the Full Scale, Verbal, and Performance means of the WAIS-III. The Kaufman Brief Intelligence Test appears to be a valid test of intelligence for adults.

[Research on investing methods and mold cooling methods of the self-made investment for pure titanium castings].

Science.gov (United States)

Zhao, Juan; Huang, Xu; Zhao, Yun-Feng; Xiao, Mao-Chun; Li, Yong

2006-10-01

To observe the influence of different investing methods and mold cooling methods on pure titanium castings invested in the self-made investment, and to provide theoretic base for the development for the investment. The influence of investing methods (one-step investing method and two-step investing method) on castability and crown fit of titanium castings were investigated, and the influence of cooling methods on reaction layers, mechanical properties and crown fit of titanium castings were investigated. Both the investing methods exhibited good castability, but only the titanium full crowns by one-step investing method showed clinically acceptable fit. Although the quenching group showed thinner reaction layer(100 microm), lower strength and similar elongation rate, the titanium castings by bench cooling showed clinically acceptable full crown fit with 115 microm thick reaction layer as cast. The one-step investing method and the bench cooling are recommended for the self-made investment.

Fluid intelligence: A brief history.

Science.gov (United States)

Kent, Phillip

2017-01-01

The concept of fluid and crystallized intelligence was introduced to the psychological community approximately 75 years ago by Raymond B. Cattell, and it continues to be an area of active research and controversy. The purpose of this paper is to provide a brief overview of the origin of the concept, early efforts to define intelligence and uses of intelligence tests to address pressing social issues, and the ongoing controversies associated with fluid intelligence and the structure of intelligence. The putative neuropsychological underpinnings and neurological substrates of fluid intelligence are discussed.

Global energy - investment requirements. A presentation of the world energy investments outlook 2003 - insights

International Nuclear Information System (INIS)

Cattier, F.

2003-01-01

In order to meet the World's energy requirements for the next 30 years, 16 000 billion dollars will be necessary. Some 60% of this investment will go to the electricity sector and almost half of the total investment must be made in the developing countries. Where fossil fuels are concerned the bulk of the investments will a devoted to exploration and development activities. Transportation and distribution will account for 54 % of the investment in the electricity sector. The financing of these investments is currently the subject of various uncertainties. The conditions for access to resources will be decisive for the oil and gas sectors. The impact of liberalization in the countries of the OECD and the profitability of the investments in developing countries constitute the main challenges for the electricity sector. (authors)

Some results on inverse scattering

International Nuclear Information System (INIS)

Ramm, A.G.

2008-01-01

A review of some of the author's results in the area of inverse scattering is given. The following topics are discussed: (1) Property C and applications, (2) Stable inversion of fixed-energy 3D scattering data and its error estimate, (3) Inverse scattering with 'incomplete' data, (4) Inverse scattering for inhomogeneous Schroedinger equation, (5) Krein's inverse scattering method, (6) Invertibility of the steps in Gel'fand-Levitan, Marchenko, and Krein inversion methods, (7) The Newton-Sabatier and Cox-Thompson procedures are not inversion methods, (8) Resonances: existence, location, perturbation theory, (9) Born inversion as an ill-posed problem, (10) Inverse obstacle scattering with fixed-frequency data, (11) Inverse scattering with data at a fixed energy and a fixed incident direction, (12) Creating materials with a desired refraction coefficient and wave-focusing properties. (author)

77 FR 27499 - Destra Capital Investments LLC and Destra Unit Investment Trust; Notice of Application

Science.gov (United States)

2012-05-10

... SECURITIES AND EXCHANGE COMMISSION [Investment Company Act Release No. 30059; 812-13574-01] Destra Capital Investments LLC and Destra Unit Investment Trust; Notice of Application May 3, 2012. AGENCY...) of the Investment Company Act of 1940 (``Act'') for an exemption from sections 2(a)(32), 2(a)(35), 14...

76 FR 61769 - Destra Capital Investments LLC and Destra Unit Investment Trust; Notice of Application

Science.gov (United States)

2011-10-05

... SECURITIES AND EXCHANGE COMMISSION [Investment Company Act Release No. 29825; 812-13575] Destra Capital Investments LLC and Destra Unit Investment Trust; Notice of Application September 29, 2011. AGENCY... 12(d)(1)(J) of the Investment Company Act of 1940 (``Act'') for an exemption from sections 12(d)(1)(A...

A Joint Method of Envelope Inversion Combined with Hybrid-domain Full Waveform Inversion

Science.gov (United States)

CUI, C.; Hou, W.

2017-12-01

Full waveform inversion (FWI) aims to construct high-precision subsurface models by fully using the information in seismic records, including amplitude, travel time, phase and so on. However, high non-linearity and the absence of low frequency information in seismic data lead to the well-known cycle skipping problem and make inversion easily fall into local minima. In addition, those 3D inversion methods that are based on acoustic approximation ignore the elastic effects in real seismic field, and make inversion harder. As a result, the accuracy of final inversion results highly relies on the quality of initial model. In order to improve stability and quality of inversion results, multi-scale inversion that reconstructs subsurface model from low to high frequency are applied. But, the absence of very low frequencies (time domain and inversion in the frequency domain. To accelerate the inversion, we adopt CPU/GPU heterogeneous computing techniques. There were two levels of parallelism. In the first level, the inversion tasks are decomposed and assigned to each computation node by shot number. In the second level, GPU multithreaded programming is used for the computation tasks in each node, including forward modeling, envelope extraction, DFT (discrete Fourier transform) calculation and gradients calculation. Numerical tests demonstrated that the combined envelope inversion + hybrid-domain FWI could obtain much faithful and accurate result than conventional hybrid-domain FWI. The CPU/GPU heterogeneous parallel computation could improve the performance speed.

Educational Programs for Intelligence Professionals.

Science.gov (United States)

Miller, Jerry P.

1994-01-01

Discusses the need for education programs for competitive intelligence professionals. Highlights include definitions of intelligence functions, focusing on business intelligence; information utilization by decision makers; information sources; competencies for intelligence professionals; and the development of formal education programs. (38…

A Duopoly Manufacturers’ Game Model Considering Green Technology Investment under a Cap-and-Trade System

Directory of Open Access Journals (Sweden)

Yi Zheng

2018-03-01

Full Text Available This research studied the duopoly manufacturers’ decision-making considering green technology investment and under a cap-and-trade system. It was assumed there were two manufacturers producing products which were substitutable for one another. On the basis of this assumption, the optimal production capacity, price, and green technology investment of the duopoly manufacturers under a cap-and-trade system were obtained. The increase or decrease of the optimal production quantity of the duopoly manufacturers under a cap-and-trade system was decided by their green technology level. The increase of the optimal price as well as the increase or decrease of the maximum expected profits were decided by the initial carbon emission quota granted by the government. Our research indicates that the carbon emission of unit product is inversely proportional to the market share of an enterprise and becomes an important index to measure the core competitiveness of an enterprise.

Irreversible investments revisited

DEFF Research Database (Denmark)

Sandal, Leif K.; Steinshamn, Stein I.; Hoff, Ayoe

2007-01-01

A multi-dimensional, non-linear dynamic model in continuous time is presented for the purpose of finding the optimal combination of exploitation and capital investment in optimal renewable resource management. Non-malleability of capital is incorporated in the model through an asymmetric cost......-function of investment, and investments can be both positive and negative. Exploitation is controlled through the utilisation rate of available capital. A novel feature in this model is that there are costs associated with the available capital whether it is utilised or not. And, in contrast to most of the previous...

43 CFR 29.11 - Investment.

Science.gov (United States)

2010-10-01

... 43 Public Lands: Interior 1 2010-10-01 2010-10-01 false Investment. 29.11 Section 29.11 Public... Investment. (a) The monies accumulated in the Fund shall be prudently invested in the following types of... investment advisor or custodian to the Fund, or their affiliates may be purchased or held by the Fund. (3...

Calculation of the inverse data space via sparse inversion

KAUST Repository

Saragiotis, Christos; Doulgeris, Panagiotis C.; Verschuur, Dirk Jacob Eric

2011-01-01

The inverse data space provides a natural separation of primaries and surface-related multiples, as the surface multiples map onto the area around the origin while the primaries map elsewhere. However, the calculation of the inverse data is far from

Harmonizing intelligence terminologies in business: Literature review

Directory of Open Access Journals (Sweden)

Sivave Mashingaidze

2014-11-01

Full Text Available The principal objective of this article is to do a literature review of different intelligence terminology with the aim of establishing the common attributes and differences, and to propose a universal and comprehensive definition of intelligence for common understanding amongst users. The findings showed that Competitive Intelligence has the broadest scope of intelligence activities covering the whole external operating environment of the company and targeting all levels of decision-making for instance; strategic intelligence, tactical intelligence and operative intelligence. Another terminology was found called Cyber IntelligenceTM which encompasses competitor intelligence, strategic intelligence, market intelligence and counterintelligence. In conclusion although CI has the broadest scope of intelligence and umbrella to many intelligence concepts, still Business Intelligence, and Corporate Intelligence are often used interchangeably as CI

Inverse Limits

CERN Document Server

Ingram, WT

2012-01-01

Inverse limits provide a powerful tool for constructing complicated spaces from simple ones. They also turn the study of a dynamical system consisting of a space and a self-map into a study of a (likely more complicated) space and a self-homeomorphism. In four chapters along with an appendix containing background material the authors develop the theory of inverse limits. The book begins with an introduction through inverse limits on [0,1] before moving to a general treatment of the subject. Special topics in continuum theory complete the book. Although it is not a book on dynamics, the influen

Investing: reducing risks to enhance returns.

Science.gov (United States)

West, J; Glickman, S; Seidner, A G

1996-09-01

The financial assets of a healthcare organization can present many opportunities for investment. In order to develop a profitable investment program that avoids risky speculation, however, healthcare financial managers must fully understand the nature and risks of their organizations' investments. They must define and monitor their investment objectives, limitations, levels of acceptable risk and policies and conditions through a statement of investment policy and comprehensive investment guidelines.

Business Intelligence using Software Agents

OpenAIRE

Ana-Ramona BOLOGA; Razvan BOLOGA

2011-01-01

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...

78 FR 32241 - Defense Intelligence Agency National Intelligence University Board of Visitors; Notice of Closed...

Science.gov (United States)

2013-05-29

... DEPARTMENT OF DEFENSE Office of the Secretary Defense Intelligence Agency National Intelligence University Board of Visitors; Notice of Closed Meeting AGENCY: National Intelligence University, Defense Intelligence Agency, Department of Defense. ACTION: Notice of closed meeting. SUMMARY: Pursuant to the...

75 FR 76423 - Defense Intelligence Agency National Defense Intelligence College Board of Visitors Closed Meeting

Science.gov (United States)

2010-12-08

... DEPARTMENT OF DEFENSE Office of the Secretary Defense Intelligence Agency National Defense Intelligence College Board of Visitors Closed Meeting AGENCY: National Defense Intelligence College, Defense Intelligence Agency, Department of Defense. ACTION: Notice of Closed Meeting. SUMMARY: Pursuant to the...

76 FR 28960 - Defense Intelligence Agency National Defense Intelligence College Board of Visitors Closed Meeting

Science.gov (United States)

2011-05-19

... DEPARTMENT OF DEFENSE Office of the Secretary Defense Intelligence Agency National Defense Intelligence College Board of Visitors Closed Meeting AGENCY: National Defense Intelligence College, Defense Intelligence Agency, Department of Defense. ACTION: Notice of Closed Meeting. SUMMARY: Pursuant to the...

Green investment: Trends and determinants

International Nuclear Information System (INIS)

Eyraud, Luc; Clements, Benedict; Wane, Abdoul

2013-01-01

This paper fills a gap in the macroeconomic literature on renewable sources of energy. It offers a definition of green investment and analyzes the trends and determinants of this investment over the last decade for 35 advanced and emerging countries. We use a new multi-country historical dataset and find that green investment has become a key driver of the energy sector and that its rapid growth is now mostly driven by China. Our econometric results suggest that green investment is boosted by economic growth, a sound financial system conducive to low interest rates, and high fuel prices. We also find that some policy interventions, such as the introduction of carbon pricing schemes or “feed-in-tariffs,” which require use of “green” energy, have a positive and significant impact on green investment. Other interventions, such as biofuel support, do not appear to be associated with higher green investment. - Highlights: • We offer a definition of green investment and review its trend since 2000. • We analyze its determinants from both theoretical and empirical perspectives. • Green investment is boosted by economic growth, interest rates, and fuel prices. • Feed-in-tariffs and carbon pricing schemes impact positively green investment

Open source intelligence, open social intelligence and privacy by design

OpenAIRE

Casanovas, Pompeu; Royal Melbourne Institute of Technology (Austràlia). Centre for Applied Social Research

2014-01-01

Ponència presentada a European Conference on Social Intelligence (ECSI-2014) OSINT stands for Open Source Intelligence, (O)SI for (Open) Social Intelligence, PbD for Privacy by Design. The CAPER project has built an OSINT solution oriented to the prevention of organized crime. How to balance freedom and security? This position paper describes a way to embed the legal and ethical issues raised by the General Data Reform Package (GDRP) in Europe into this kind of surveillance platforms. It f...

To assess the investment policy and investment activity of banks of Russia

OpenAIRE

Mandron V.; Buzaeva O.

2016-01-01

A priority to increase the profits of banks is investment operations in the stock market. Investment banking includes activities on raising capital using capital market instruments with the objective of capital appreciation. The article describes the investment objectives of the banks to improve their profitability, financial stability and enhance the effectiveness of the whole. The basic tools that enable banks to achieve the relevant objectives: profit, risk diversification, the maintenance...

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

OpenAIRE

Stephen Fox

2017-01-01

Framing strongly influences actions among technology proponents and end-users. Underlying much debate about artificial intelligence (AI) are several fundamental shortcomings in its framing. First, discussion of AI is atheoretical, and therefore has limited potential for addressing the complexity of causation. Second, intelligence is considered from an anthropocentric perspective that sees human intelligence, and intelligence developed by humans, as superior to all other intelligences. Thus, t...

Artificial Intelligence.

Science.gov (United States)

Wash, Darrel Patrick

1989-01-01

Making a machine seem intelligent is not easy. As a consequence, demand has been rising for computer professionals skilled in artificial intelligence and is likely to continue to go up. These workers develop expert systems and solve the mysteries of machine vision, natural language processing, and neural networks. (Editor)

Inverse problems of geophysics

International Nuclear Information System (INIS)

Yanovskaya, T.B.

2003-07-01

This report gives an overview and the mathematical formulation of geophysical inverse problems. General principles of statistical estimation are explained. The maximum likelihood and least square fit methods, the Backus-Gilbert method and general approaches for solving inverse problems are discussed. General formulations of linearized inverse problems, singular value decomposition and properties of pseudo-inverse solutions are given

Acute puerperal uterine inversion

International Nuclear Information System (INIS)

Hussain, M.; Liaquat, N.; Noorani, K.; Bhutta, S.Z; Jabeen, T.

2004-01-01

Objective: To determine the frequency, causes, clinical presentations, management and maternal mortality associated with acute puerperal inversion of the uterus. Materials and Methods: All the patients who developed acute puerperal inversion of the uterus either in or outside the JPMC were included in the study. Patients of chronic uterine inversion were not included in the present study. Abdominal and vaginal examination was done to confirm and classify inversion into first, second or third degrees. Results: 57036 deliveries and 36 acute uterine inversions occurred during the study period, so the frequency of uterine inversion was 1 in 1584 deliveries. Mismanagement of third stage of labour was responsible for uterine inversion in 75% of patients. Majority of the patients presented with shock, either hypovolemic (69%) or neurogenic (13%) in origin. Manual replacement of the uterus under general anaesthesia with 2% halothane was successfully done in 35 patients (97.5%). Abdominal hysterectomy was done in only one patient. There were three maternal deaths due to inversion. Conclusion: Proper education and training regarding placental delivery, diagnosis and management of uterine inversion must be imparted to the maternity care providers especially to traditional birth attendants and family physicians to prevent this potentially life-threatening condition. (author)

Financing investment in environmentally sound technologies: Foreign direct investment versus foreign debt finance

International Nuclear Information System (INIS)

Anyangah, Joshua Okeyo

2010-01-01

This paper develops a screening model to examine the relationship between alternative sources of private capital and investment in environmentally sound technologies (ESTs). In the model, a polluter (agent) must secure investment funds from the international financial markets in order to upgrade its production and abatement technology. The requisite capital can be obtained via either market loans (debt finance) or foreign direct investment (FDI). Under debt finance, the foreign financier supplies only capital and the relationship between the two parties is more 'arms-length'. By contrast, under FDI, the investor delivers both capital and managerial skills. We use the model to derive the implications of debt finance for optimal investment decisions and compare them to those obtained under FDI. Investment incentives are more pronounced under debt finance. (author)

Estimation of the Intelligence Quotient Using Wechsler Intelligence Scales in Children and Adolescents with Asperger Syndrome

Science.gov (United States)

Merchan-Naranjo, Jessica; Mayoral, Maria; Rapado-Castro, Marta; Llorente, Cloe; Boada, Leticia; Arango, Celso; Parellada, Mara

2012-01-01

Asperger syndrome (AS) patients show heterogeneous intelligence profiles and the validity of short forms for estimating intelligence has rarely been studied in this population. We analyzed the validity of Wechsler Intelligence Scale (WIS) short forms for estimating full-scale intelligence quotient (FSIQ) and assessing intelligence profiles in 29…

Business Intelligence using Software Agents

Directory of Open Access Journals (Sweden)

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.

Generative Artificial Intelligence : Philosophy and Theory of Artificial Intelligence

NARCIS (Netherlands)

van der Zant, Tijn; Kouw, Matthijs; Schomaker, Lambertus; Mueller, Vincent C.

2013-01-01

The closed systems of contemporary Artificial Intelligence do not seem to lead to intelligent machines in the near future. What is needed are open-ended systems with non-linear properties in order to create interesting properties for the scaffolding of an artificial mind. Using post-structuralistic

Greenland and Chinese outbound investments

DEFF Research Database (Denmark)

Mouyal, Lone Wandahl; Mortensen, Bent Ole Gram; Su, Jingjing

2017-01-01

-Government seeks to develop new business sectors and to attract foreign investment, including investments from China, to develop especially its mineral resources. China now is the second largest economy in the world and the outbound investments by Chinese companies presents unprecedented opportunities for both...... Chinese companies and their global partners. However, Chinese outbound investment faces many hurdles both at home and outside. This article analyzes some of the main aspects in relation to regulatory hurdles, political obstacles as well as environmental, labor and financial challenges primarily focusing...... on investments in the mining industry....

IMPACT OF FOREIGN DIRECT INVESTMENT (FDI ON DOMESTIC INVESTMENT IN REPUBLIC OF CROATIA

Directory of Open Access Journals (Sweden)

Igor Ivanović

2015-11-01

Full Text Available The aim of this paper is to investigate how foreign direct investment (FDI affects domestic investment in the Republic of Croatia. More precisely, the general purpose of this study is to determine the impact of net inflow of foreign capital on domestic investment in order to gain a clearer picture about the sensitivity and efficiency of domestic investment. After parsing domestic investment and FDI in Croatia, according to Croatian Bureau of Statistics and the Croatian National Bank, a historical overview of their movement from 1995 to 2014 was analyzed. In the following an overview and comparison of studies from around the world which deal with similar topic was made. In the empirical part; domestic gross fixed capital formation, changes in domestic stocks, net FDI and GDP growth rate was used as variables. Quarterly time series data ranging from the Q1 2001 to Q4 2014 were processed with the subset VAR (vector autoregressive econometric model. The results shows that FDI have negative influence on domestic investment in the Republic of Croatia with time lag.

Progress and Challenge of Artificial Intelligence

Institute of Scientific and Technical Information of China (English)

Zhong-Zhi Shi; Nan-Ning Zheng

2006-01-01

Artificial Intelligence (AI) is generally considered to be a subfield of computer science, that is concerned to attempt simulation, extension and expansion of human intelligence. Artificial intelligence has enjoyed tremendous success over the last fifty years. In this paper we only focus on visual perception, granular computing, agent computing, semantic grid. Human-level intelligence is the long-term goal of artificial intelligence. We should do joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. A new cross discipline intelligence science is undergoing a rapid development. Future challenges are given in final section.

12 CFR 24.4 - Investment limits.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Investment limits. 24.4 Section 24.4 Banks and... ENTITIES, COMMUNITY DEVELOPMENT PROJECTS, AND OTHER PUBLIC WELFARE INVESTMENTS § 24.4 Investment limits. (a) Limits on aggregate outstanding investments. A national bank's aggregate outstanding investments under...

12 CFR 615.5140 - Eligible investments.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Eligible investments. 615.5140 Section 615.5140... POLICIES AND OPERATIONS, AND FUNDING OPERATIONS Investment Management § 615.5140 Eligible investments. (a) You may hold only the following types of investments listed in the Investment Eligibility Criteria...

Inverse feasibility problems of the inverse maximum flow problems

Indian Academy of Sciences (India)

199–209. c Indian Academy of Sciences. Inverse feasibility problems of the inverse maximum flow problems. ADRIAN DEACONU. ∗ and ELEONOR CIUREA. Department of Mathematics and Computer Science, Faculty of Mathematics and Informatics, Transilvania University of Brasov, Brasov, Iuliu Maniu st. 50,. Romania.

Childhood intelligence in relation to adult coronary heart disease and stroke risk: evidence from a Danish birth cohort study

DEFF Research Database (Denmark)

Batty, G. David; Mortensen, Erik Lykke; Andersen, Anne-Marie Nybo

2005-01-01

While recent studies have reported an inverse relation between childhood intelligence test scores and all-cause mortality in later life, the link with disease-specific outcomes has been rarely examined. Furthermore, the potential confounding effect of birthweight and childhood social circumstances.......60, 4.57; P(trend) = 0.0001). After adjustment for paternal social class and birthweight, this association was attenuated only marginally. There was little evidence of a IQ-stroke relationship. The cognitive characteristics captured by IQ testing in the present study, such as communication and problem...... solving ability, appear to be associated with risk of CHD. Health promotion specialists and clinical practitioners may wish to consider these skills in their interactions with the general public. Replication of these results using studies which hold data on intelligence and socio-economic position across...

47 CFR 69.309 - Other investment.

Science.gov (United States)

2010-10-01

... 47 Telecommunication 3 2010-10-01 2010-10-01 false Other investment. 69.309 Section 69.309... Apportionment of Net Investment § 69.309 Other investment. Investment that is not apportioned pursuant to §§ 69... category and access elements in the same proportions as the combined investment that is apportioned...

[Several problems concerning population investment].

Science.gov (United States)

Liu, Z

1982-07-29

Population investment is a major topic in the studies of population and economic relations. In this particular area, numerous theoretical and practical problems are still in need of solution. Concerning the problem of population concept, there are three different approaches: (1) to determine the definition of population investment from the relationship between the population growth and the capital from national income used for investment, including investment in the newly increased population and investment in the entire population; (2) to explain population investment from the economic viewpoint that people are producers; and (3) to explain population investment from the expense needed to change a simple labor force to a skillful labor force. The expenses include educational costs, maintanance spending, wages needed to compensate workers in labor, costs for workers to master and learn modern scientific techniques to be used for production, and the costs of keeping a young labor force in the next generation.

Intelligence and treaty ratification

International Nuclear Information System (INIS)

Sojka, G.L.

1990-01-01

What did the intelligence community and the Intelligence Committee di poorly in regard to the treaty ratification process for arms control? We failed to solve the compartmentalization problem/ This is a second-order problem, and, in general, analysts try to be very open; but there are problems nevertheless. There are very few, if any, people within the intelligence community who are cleared for everything relevant to our monitoring capability emdash short of probably the Director of Central Intelligence and the president emdash and this is a major problem. The formal monitoring estimates are drawn up by individuals who do not have access to all the information to make the monitoring judgements. This paper reports that the intelligence community did not present a formal document on either Soviet incentives of disincentives to cheat or on the possibility of cheating scenarios, and that was a mistake. However, the intelligence community was very responsive in producing those types of estimates, and, ultimately, the evidence behind them in response to questions. Nevertheless, the author thinks the intelligence community would do well to address this issue up front before a treaty is submitted to the Senate for advice and consent

Rural architecture between artificial intelligence and natural intelligence

Energy Technology Data Exchange (ETDEWEB)

Cennamo, M.; Palma, P. di; Ricciardelli, A. [University of Naples Frederico II (Italy). Dept. of Configurazione e Attuazione dell Architettra

2000-02-01

Following the field of research carried out and reported in the Second International Conference for Teachers of Architecture held in Florence on October 16, 17 and 18, 1997, which stated the central position of Architectural project in relation to Human Intelligence, Natural Intelligence and Artificial Intelligence, the present paper suggests a phase of application of the theoretical assumptions to spacial models paradigmatic of the complexity of projects and building technique, as well as of the relationship between man-made environment and natural one. Among the different typologies in architecture, this research focuses on the rural buildings in Campania, mainly on the ones in the Vesuvius area, as those are the most suitable to be studied and salvaged with the help of biology, mathematics and high engineering. (author)

Considering barriers to investment in South Africa

Directory of Open Access Journals (Sweden)

KB Afful

2014-10-01

Full Text Available This paper examines the effect of South Africa’s economic fundamentals on net direct investment and net portfolio investment. The results suggest that the main determinants of investment in South Africa are resource prices, input productivity and the economic performance of the domestic economy. The results illustrate that net direct investment and net portfolio investment are close but not perfect substitutes. In addition, we find that an increase in labour input costs reduces both net direct investment and net portfolio investment. Further, an increase in fixed capital productivity increases net direct investment. Further, also the results illustrate that subsidies increase both net direct investment and net portfolio investment. Moreover, an increase in exports increases both net direct investment and net portfolio investment. Policy recommendations are thus proposed that may increase foreign direct investment in South Africa.

Algorithms in ambient intelligence

NARCIS (Netherlands)

Aarts, E.H.L.; Korst, J.H.M.; Verhaegh, W.F.J.; Weber, W.; Rabaey, J.M.; Aarts, E.

2005-01-01

We briefly review the concept of ambient intelligence and discuss its relation with the domain of intelligent algorithms. By means of four examples of ambient intelligent systems, we argue that new computing methods and quantification measures are needed to bridge the gap between the class of

Artificial Intelligence Research at the Artificial Intelligence Laboratory, Massachusetts Institute of Technology

OpenAIRE

Winston, Patrick H.

1983-01-01

The primary goal of the Artificial Intelligence Laboratory is to understand how computers can be made to exhibit intelligence. Two corollary goals are to make computers more useful and to understand certain aspects of human intelligence. Current research includes work on computer robotics and vision, expert systems, learning and commonsense reasoning, natural language understanding, and computer architecture.

The role of fluid intelligence and learning in analogical reasoning: How to become neurally efficient?

Science.gov (United States)

Dix, Annika; Wartenburger, Isabell; van der Meer, Elke

2016-10-01

This study on analogical reasoning evaluates the impact of fluid intelligence on adaptive changes in neural efficiency over the course of an experiment and specifies the underlying cognitive processes. Grade 10 students (N=80) solved unfamiliar geometric analogy tasks of varying difficulty. Neural efficiency was measured by the event-related desynchronization (ERD) in the alpha band, an indicator of cortical activity. Neural efficiency was defined as a low amount of cortical activity accompanying high performance during problem-solving. Students solved the tasks faster and more accurately the higher their FI was. Moreover, while high FI led to greater cortical activity in the first half of the experiment, high FI was associated with a neurally more efficient processing (i.e., better performance but same amount of cortical activity) in the second half of the experiment. Performance in difficult tasks improved over the course of the experiment for all students while neural efficiency increased for students with higher but decreased for students with lower fluid intelligence. Based on analyses of the alpha sub-bands, we argue that high fluid intelligence was associated with a stronger investment of attentional resource in the integration of information and the encoding of relations in this unfamiliar task in the first half of the experiment (lower-2 alpha band). Students with lower fluid intelligence seem to adapt their applied strategies over the course of the experiment (i.e., focusing on task-relevant information; lower-1 alpha band). Thus, the initially lower cortical activity and its increase in students with lower fluid intelligence might reflect the overcoming of mental overload that was present in the first half of the experiment. Copyright © 2016 Elsevier Inc. All rights reserved.

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

Moral Intelligence in the Schools

Science.gov (United States)

Clarken, Rodney H.

2009-01-01

Moral intelligence is newer and less studied than the more established cognitive, emotional and social intelligences, but has great potential to improve our understanding of learning and behavior. Moral intelligence refers to the ability to apply ethical principles to personal goals, values and actions. The construct of moral intelligence consists…

Competition in investment banking

Directory of Open Access Journals (Sweden)

Katrina Ellis

2011-01-01

Full Text Available We construct a comprehensive measure of overall investment banking competitiveness for follow-on offerings that aggregates the various dimensions of competition such as fees, pricing accuracy, analyst recommendations, distributional abilities, market making prowess, debt offering capabilities, and overall reputation. The measure allows us to incorporate trade-offs that investment banks may use in competing for new or established clients. We find that firms who switch to similar-quality underwriters enjoy more intense competition among investment banks which manifests in lower fees and more optimistic recommendations. Investment banks do compete vigorously for some clients, with the level of competition related to the likelihood of gaining or losing clients. Finally, investment banks not performing up to market norms are more likely to be dropped in the follow-on offering. In contrast, firms who seek a higher reputation underwriter face relatively non-competitive markets.

Modelling intelligent behavior

Science.gov (United States)

Green, H. S.; Triffet, T.

1993-01-01

An introductory discussion of the related concepts of intelligence and consciousness suggests criteria to be met in the modeling of intelligence and the development of intelligent materials. Methods for the modeling of actual structure and activity of the animal cortex have been found, based on present knowledge of the ionic and cellular constitution of the nervous system. These have led to the development of a realistic neural network model, which has been used to study the formation of memory and the process of learning. An account is given of experiments with simple materials which exhibit almost all properties of biological synapses and suggest the possibility of a new type of computer architecture to implement an advanced type of artificial intelligence.

Multiple intelligences: Can they be measured?

OpenAIRE

Kirsi Tirri; Petri Nokelainen; Erkki Komulainen

2013-01-01

This paper is about issues relating to the assessment of multiple intelligences. The first section introduces the authors’ work on building measures of multiple intelligences and moral sensitivities. It also provides a conceptual definition of multiple intelligences based on Multiple Intelligences theory by Howard Gardner (1983). The second section discusses the context specificity of intelligences and alternative approaches to measuring multiple intelligences. The third section analyses the ...

Essays in Investment Theory

International Nuclear Information System (INIS)

Bobtcheff, C.

2006-01-01

This thesis analyzes different aspects of the investment decision. In the first chapter, we consider an economy in which different energy sources may produce electricity. The model focuses first on the optimal use of a hydroelectric dam from which water can be extracted and which is supplied with a random water flow. The presence of constraints on a minimal and on a maximal storage capacity makes electricity consumption smoothing possible only when the quantity of water available to the agent lies in a certain range that we determine. In a second stage, we introduce a second energy source with unlimited supply at some exogenous cost. The marginal propensity to produce hydroelectricity is an increasing function of the second technology cost. The availability at a low cost of the alternative source improves thus time diversification. Finally, the optimal electric park is composed of a number of dams that is increasing with the cost of the second technology. Chapter 2 studies the decision of an investor who wants to undertake an irreversible investment when he has the choice between two mutually exclusive projects that present input price and/or output price uncertainty. We prove that the investor decides not to invest in any project when each investment generates the same payoff independently of its size. Therefore, some inaction region appears in which the investor prefers not to invest whereas an immediate investment would have been optimal if no choice had been available: a 'choice value' is thus created. A key feature of this bidimensional degree of uncertainty is thus that the payoff generated by each project is not a sufficient statistic to make a rational investment. In this context, our analysis provides a new motive for waiting to invest: the benefits associated with the dominance of one project over the other. In chapter 3, we study the investment decision problem of a duo-poly with price competition on a market of finite size driven by stochastic taste

Reflection on robotic intelligence

NARCIS (Netherlands)

Bartneck, C.

2006-01-01

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

VALUE-ADDED SERVICE INVESTING AND PRICING STRATEGIES FOR A TWO-SIDED PLATFORM UNDER INVESTING RESOURCE CONSTRAINT

Institute of Scientific and Technical Information of China (English)

Guowei Dou; Ping He

2017-01-01

Investing on value-added service (VAS) amplifies users' participation and platform profit.However,the investing resource is usually limited in practice.This paper investigates VAS investing and pricing strategies for a two-sided platform under investing resource constraint.We reveal that with VAS investment,Subsidizing can still be done to enlarge users' demand,even when the investing cost becomes higher.For optimal pricing strategies,the network effect will be the dominating determinant if the gap between two marginal cross-side benefits (i.e.the benefit that users obtain when each new user join the other side of the platform) is large.Interestingly,we show that with the increase of the marginal investing cost,users might either be priced higher or lower.If the marginal investing cost increases to a high level,and the gap between the two marginal cross-side benefits is large,lowering the access fee for users possessing the higher cross-side network effect does not necessarily compensate more profit loss caused by higher cost.Moreover,after VAS is developed,raising the access fee for those whose marginal investing benefit is large does not necessarily generate more profit as well.The opposite strategy further enlarges users' utility,and promotes the investment to benefit more users.

Multiple Intelligences and quotient spaces

OpenAIRE

Malatesta, Mike; Quintana, Yamilet

2006-01-01

The Multiple Intelligence Theory (MI) is one of the models that study and describe the cognitive abilities of an individual. In [7] is presented a referential system which allows to identify the Multiple Intelligences of the students of a course and to classify the level of development of such Intelligences. Following this tendency, the purpose of this paper is to describe the model of Multiple Intelligences as a quotient space, and also to study the Multiple Intelligences of an individual in...

Real Options Analysis of Electricity Investments

Energy Technology Data Exchange (ETDEWEB)

Heggedal, Ane Marte

2012-07-01

This thesis utilizes real options analysis for evaluating investment opportunities in the electricity sector. It also formally tests how investors in hydropower plants have included uncertainty when considering their investment opportunities. The real options method applies financial options theory to quantify the value of management flexibility and is chosen due to three important characteristics of investments in the electricity sector. First; the investment is completely or partially irreversible, second; the investor can choose when to invest in the facility, and third; there is uncertainty in several factors affecting the cash flows of the investments. Factors of uncertainty include the development of electricity prices, policies, technological advances, and macroeconomics measures.Four papers are included in this thesis. Paper 1, Upgrading hydropower plants with storage: Timing and capacity choice, presents a valuation framework for deciding when to upgrade an existing hydropower plant and which capacity to choose. The second paper, Transmission capacity between Norway and Germany: A real options analysis, sheds light on when two electricity markets, in this case Norway and Germany, should be connected through a sub sea cable. The investor can choose when to invest and the capacity of the cable, and may also choose to invest sequentially. Paper 3, Optimal timing and capacity choice for pumped hydropower storage, investigates when investment in a pumped hydropower plant with storage should be undertaken and what the capacity of the facility should be. Whereas the three first papers investigate investment opportunities, Paper 4, Uncertain climate policy decisions and investment timing: Evidence from small hydropower plants, studies when investors in small hydropower plants chose to invest. The analyses disclose whether the net present value approach or the real options method best describe the investment decisions made by the investors. Viewing investment

Petroleum investment conditions in Peru

International Nuclear Information System (INIS)

Garcia Schreck, M.

1996-01-01

This report focuses on the current petroleum investment conditions in Peru, and Peru's hydrocarbon potential. Investment conditions are examined, and political risk, internal security, the economic environment, and the legal framework for investment are considered. (UK)

RISKS IN INVESTMENT AND MANAGEMENT

Directory of Open Access Journals (Sweden)

Ms. Tatiana A. Ykovleva

2016-12-01

Full Text Available The article discusses the features of investment risks and their causes, as well as provides a detailed classification of investment risks. The authors reveal the essence and content of the investment process, risk management, providing material for presentation in the form of a diagram. In conclusion, the article explains the use of the system of specialized institutions as a way to exclude the basic, or primary investment risk.

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,...

Chinese investments in the EU

Directory of Open Access Journals (Sweden)

Haico EBBERS

2010-12-01

Full Text Available China’s investments in the European Union are much lower than what you may expect given the economic size of both entities. These relatively low investments in Europe are a combination of priority and obstacles. The priority for investments is clearly in Asia, Africa and Latin America. This regional pattern is heavily influenced by the need to solve the resource shortage in the medium and long term. The investments in Europe and the United States are mostly market seeking investments. Research specifically focused on Chinese M&A abroad comes to the same conclusion. The success rate of Chinese M&A abroad is much lower than what we see with respect to American or European investments abroad. In this paper, we examine why Chinese firms are facing more difficulties in the European Union than in other regions. The paper focuses on Chinese M&A as proxy for total foreign direct investments abroad. By looking at the factors that have been documented as influencing the level of M&A abroad, it becomes clear that Chinese firms in Europe are hindered by many factors. For example, the trade between China and the EU is relatively low, the institutional quality is lower compared to the United States, there is less experience with respect to Europe and relatively many deals relate to State Owned Enterprises (SOE which makes the deal sensitive. So it is logical that Chinese investments are not very high in Europe. However, the research makes clear that the obstacles for Chinese investments in Europe are disappearing step by step. In that sense, we expect a strong increase of Chinese investments in Europe in the future.

12 CFR 550.330 - Are there investments in which I may not invest funds of a fiduciary account?

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 5 2010-01-01 2010-01-01 false Are there investments in which I may not invest... on Self Dealing § 550.330 Are there investments in which I may not invest funds of a fiduciary account? You may not invest funds of a fiduciary account for which you have investment discretion in the...

The Epistemic Status of Intelligence

DEFF Research Database (Denmark)

Rønn, Kira Vrist; Høffding, Simon

2012-01-01

We argue that the majority of intelligence definitions fail to recognize that the normative epistemic status of intelligence is knowledge and not an inferior alternative. We refute the counter-arguments that intelligence ought not to be seen as knowledge because of 1) its action-oriented scope...... and robustness of claims to intelligence-knowledge can be assessed....

THE MAIN DIRECTIONS OF INNOVATION AND INVESTMENT IN THE DEVELOPMENT OF THE ZAKARPAT REGION

Directory of Open Access Journals (Sweden)

V. Stegura

2016-02-01

Full Text Available The paper consider of the long-term innovation strategy, on the groung of which a small business can be devolopped. Also the paper deals with main ways of activization of investment and innovation activity in Zakarpat region. The advantages is purely an innovative model of growth and source of inexhaustible resource which performs human creativity, initiative, entrepreneurship, knowledge and intelligence. At present in Ukraine is dominated by elements of the model of absolute advantage and commodity -export, while the foundations of an innovative model of economic development at the stage of formation. Insufficiently involved is the potential of science , business, intellectual, and low wages. Addressing these issues is the foundation of small business through the implementation of innovative strategies.

Multiple Intelligences: Current Trends in Assessment

Science.gov (United States)

Harman, Marsha J.; Kordinak, S. Thomas; Bruce, A. Jerry

2009-01-01

With his theory of multiple intelligences, Howard Gardner challenged the presumption that intelligence is a single innate entity. He maintained that multiple intelligences exist and are related to specific brain areas and symbol systems. Each of the intelligences has its merits and limits, but by using a multiple intelligences approach, more…

Designing with computational intelligence

CERN Document Server

Lopes, Heitor; Mourelle, Luiza

2017-01-01

This book discusses a number of real-world applications of computational intelligence approaches. Using various examples, it demonstrates that computational intelligence has become a consolidated methodology for automatically creating new competitive solutions to complex real-world problems. It also presents a concise and efficient synthesis of different systems using computationally intelligent techniques.

75 FR 57217 - Direct Investment Surveys: BE-11, Annual Survey of U.S. Direct Investment Abroad

Science.gov (United States)

2010-09-20

... both U.S. and international definitions for foreign direct investment and must be represented in the...] RIN 0691-AA74 Direct Investment Surveys: BE-11, Annual Survey of U.S. Direct Investment Abroad AGENCY... the reporting requirements for the BE-11, Annual Survey of U.S. Direct Investment Abroad. The survey...

Interaction between Dynamic Financing and Investments

DEFF Research Database (Denmark)

Dockner, Engelbert J.; Mæland, Jøril; Miltersen, Kristian R.

Debt priority rules, i.e., the rules determining how different classes of debt split the firm's assets after bankruptcy, influence the firm's investment decisions. Existing debt benefits from an investment either because the investment is equity financed or because new debt issued to (partly......) finance the investment has lower priority in the event of bankruptcy as is the case for the commonly used absolute priority rule (APR). This incentivizes equity holders to under invest. If debt priority rules are specified in such a way that existing debt can be exploited by issuing new debt, do equity...... holders have the incentive to over invest. We formulate a dynamic structural model to study the interaction of initial capital structure choice, investment policy, subsequent debt issues, and debt priority rules. We find that priority rules have a substantial impact on investment timing as well...

Investment, regulation, and uncertainty

Science.gov (United States)

Smyth, Stuart J; McDonald, Jillian; Falck-Zepeda, Jose

2014-01-01

As with any technological innovation, time refines the technology, improving upon the original version of the innovative product. The initial GM crops had single traits for either herbicide tolerance or insect resistance. Current varieties have both of these traits stacked together and in many cases other abiotic and biotic traits have also been stacked. This innovation requires investment. While this is relatively straight forward, certain conditions need to exist such that investments can be facilitated. The principle requirement for investment is that regulatory frameworks render consistent and timely decisions. If the certainty of regulatory outcomes weakens, the potential for changes in investment patterns increases.   This article provides a summary background to the leading plant breeding technologies that are either currently being used to develop new crop varieties or are in the pipeline to be applied to plant breeding within the next few years. Challenges for existing regulatory systems are highlighted. Utilizing an option value approach from investment literature, an assessment of uncertainty regarding the regulatory approval for these varying techniques is undertaken. This research highlights which technology development options have the greatest degree of uncertainty and hence, which ones might be expected to see an investment decline. PMID:24499745

47 CFR 32.102 - Nonregulated investments.

Science.gov (United States)

2010-10-01

... 47 Telecommunication 2 2010-10-01 2010-10-01 false Nonregulated investments. 32.102 Section 32.102 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES UNIFORM SYSTEM OF ACCOUNTS... investments. Nonregulated investments shall include the investment in nonregulated activities that are...

Alzheimer's disease and intelligence.

Science.gov (United States)

Yeo, R A; Arden, R; Jung, R E

2011-06-01

A significant body of evidence has accumulated suggesting that individual variation in intellectual ability, whether assessed directly by intelligence tests or indirectly through proxy measures, is related to risk of developing Alzheimer's disease (AD) in later life. Important questions remain unanswered, however, such as the specificity of risk for AD vs. other forms of dementia, and the specific links between premorbid intelligence and development of the neuropathology characteristic of AD. Lower premorbid intelligence has also emerged as a risk factor for greater mortality across myriad health and mental health diagnoses. Genetic covariance contributes importantly to these associations, and pleiotropic genetic effects may impact diverse organ systems through similar processes, including inefficient design and oxidative stress. Through such processes, the genetic underpinnings of intelligence, specifically, mutation load, may also increase the risk of developing AD. We discuss how specific neurobiologic features of relatively lower premorbid intelligence, including reduced metabolic efficiency, may facilitate the development of AD neuropathology. The cognitive reserve hypothesis, the most widely accepted account of the intelligence-AD association, is reviewed in the context of this larger literature.

Investing in river health.

Science.gov (United States)

Bennett, J

2002-01-01

Rivers provide society with numerous returns. These relate to both the passive and extractive uses of the resources embodied in river environments. Some returns are manifest in the form of financial gains whilst others are non-monetary. For instance, rivers are a source of monetary income for those who harvest their fish. The water flowing in rivers is extracted for drinking and to water crops and livestock that in turn yield monetary profits. However, rivers are also the source of non-monetary values arising from biological diversity. People who use them for recreation (picnicking, swimming, boating) also receive non-monetary returns. The use of rivers to yield these returns has had negative consequences. With extraction for financial return has come diminished water quantity and quality. The result has been a diminished capacity of rivers to yield (non-extractive) environmental returns and to continue to provide extractive values. A river is like any other asset. With use, the value of an asset depreciates because its productivity declines. In order to maintain the productive capacity of their assets, managers put aside from their profits depreciation reserves that can be invested in the repair or replacement of those assets. Society now faces a situation in which its river assets have depreciated in terms of their capacity to provide monetary and non-monetary returns. An investment in river "repair" is required. But, investment means that society gives up something now in order to achieve some benefit in the future. Society thus has to grapple wih the choice between investing in river health and other investments--such as in hospitals, schools, defence etc. - as well as between investing in river health and current consumption--such as on clothes, food, cars etc. A commonly used aid for investment decision making in the public sector is benefit cost analysis. However, its usefulness in tackling the river investment problem is restricted because it requires all

Investment for food

NARCIS (Netherlands)

Groenveld, D.

1961-01-01

Groenveld attempted to show the magnitude of investments in agriculture, which were necessary to meet the increasing world demand for food. The formula S = K/Y (ΔN +ΔH) was assumed as a description that for a community the proportion of national income saved and invested must equal the product of

Is Intelligence Artificial?

OpenAIRE

Greer, Kieran

2014-01-01

Our understanding of intelligence is directed primarily at the level of human beings. This paper attempts to give a more unifying definition that can be applied to the natural world in general. The definition would be used more to verify a degree of intelligence, not to quantify it and might help when making judgements on the matter. A version of an accepted test for AI is then put forward as the 'acid test' for Artificial Intelligence itself. It might be what a free-thinking program or robot...

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

Directory of Open Access Journals (Sweden)

Stephen Fox

2017-06-01

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

BRICS Investment Policies from PFI Perspective

Directory of Open Access Journals (Sweden)

Andrei Sakharov 

2017-12-01

Full Text Available The Organisation for Economic Co-operation and Development (OECD Policy Framework for Investment (PFI contains recommendations and best practices in 12 investment-related policy areas, and is widely regarded as the world’s most comprehensive and authoritative instrument on international investment regulation. The topicality of PFI recommendations for OECD members and other countries, including Russia, is dictated by competition in international investment markets. The instrument’s implementation can significantly boost a national jurisdiction’s attractiveness to investors and thus increase its economic competitiveness. The experience of the BRICS countries as large developing economies involved in collaboration with the OECD could be of great value from the standpoint of PFI implementation in Russia. This article examines investment policies of Brazil, India, China and South Africa from the perspective of PFI recommendations. The analysis is organized around four major themes: the general characteristics of investment regimes and investment stimuli, national investment regulation regimes, trade policies and overcoming structural limitations. The analysis forms the basis for recommendations to improve the investment policy regime in Russia

Potential of Sharia-compliant investments

OpenAIRE

Ishuayed, Mohamed; Ruiz, Frédéric

2016-01-01

Islamic finance and Sharia-compliant investing has seen substantial growth over the years. As more investors are interested in becoming fully Sharia-compliant, the question of what may they be giving up in exchange arises. This has led us to analyze the potential of Sharia-compliant investments. It is well known that having a Sharia-compliant investment portfolio could be rather restrictive as some sectors and investment instruments are forbidden such as tobacco, alcohol, gambling, pork produ...

A basic guide to investing.

Science.gov (United States)

Smith, Michael C

2006-03-01

Today's investors have many choices. From seemingly simple investments, such as stocks, bonds and cash, to more complicated option strategies, there is a dizzying array of investment vehicles that can leave even the most seasoned investor a bit confused. In discussions with our clients, one common thread is the desire to learn more about the various types of investments available. Following is a basic guide to the most common investments and the risks inherent in those choices.

Energy investments and employment

International Nuclear Information System (INIS)

1993-08-01

A study was conducted to assess the effect that different energy options would have on provincial and regional employment prospects in British Columbia. Current and future economic and employment patterns were examined to develop a more detailed understanding of the skills, age, gender, location, and other characteristics of British Columbia workers. Over 40 previous studies examining the energy/employment relationship were also reviewed. Based on this review and an analysis of the province's economic and labor conditions, the following conclusions are drawn. Investment in non-energy sectors offers better prospects for reducing unemployment than investment in the energy sector, whether for new supply or improving efficiency. Investments in the energy sector provide fewer jobs than investments in most other sectors of the economy. Among the available electricity supply options, large hydroelectric projects tend to produce the fewest jobs per investment dollar. Smaller thermal projects such as wood residue plants produce the most jobs. If and when more energy is needed in British Columbia, the most cost-effective combination of energy supply and efficiency options will also create the most jobs. Compared to traditional energy supply options, investments in energy efficiency would create about twice as many total jobs, create jobs that better match the skills of the province's unemployed and its population distribution, and create jobs that last longer on the average. Construction-related measures such as improved insulation tend to produce more jobs per investment dollar than the substitution of more energy-efficient equipment. 69 refs., 9 tabs

Artificial Consciousness or Artificial Intelligence

Directory of Open Access Journals (Sweden)

Spanache Florin

2017-05-01

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

The economic rationale for investing decisions innovative projects rationalization of investments for innovative projects

Directory of Open Access Journals (Sweden)

L. O. Zhitinskaya

2017-01-01

Full Text Available The article provides a selection of methods for determining the feasibility of an investment-innovative project. Estimated indicators are identified analytically, on their basis a conclusion is made about the economic efficiency and feasibility of the project, which is the basis of its competitiveness. Such growth analytics is necessary, since the social and economic development of the country and the region largely depends on the investment climate, which is facilitated by the legislation of the Russian Federation (the Tax Code of the Russian Federation, the law of the Russian Federation on the regulation of investment activities, etc.. Since competitiveness is also determined by the economic feasibility and financial solvency of innovative projects, modern information and software, as well as the methodology for project appraisal and the corresponding order of their implementation, are needed. In the Russian Federation, a method is used to assess the efficiency of capital investments in capitalist countries, as well as the methodology of economic (competitive analysis of investment-innovative projects. The basis of the method is that reimbursement of investments occurs in two economic forms: net profit and depreciation (net income. Of the numerous methods for assessing the feasibility of investment, the most often used along with discount methods (taking into account the factor of money changes over time, statistical methods with determining the payback period and the average rate of return on investment. Defined indicators: the net present value (NPV and the internal rate of return (IRR. The methodology specified in the article is useful to the investor in order to rationalize investment flows, helps to achieve the maximum IRR. The implementation of the innovative project serves the competitiveness of the manufacturing enterprise by increasing the technical and technological levels of the products.

Intelligent Design

DEFF Research Database (Denmark)

Hjorth, Poul G.

2005-01-01

Forestillingen om at naturen er designet af en guddommelig 'intelligens' er et smukt filosofisk princip. Teorier om Intelligent Design som en naturvidenskabeligt baseret teori er derimod helt forfærdelig.......Forestillingen om at naturen er designet af en guddommelig 'intelligens' er et smukt filosofisk princip. Teorier om Intelligent Design som en naturvidenskabeligt baseret teori er derimod helt forfærdelig....

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

The Coast Guard Intelligence Program Enters the Intelligence Community. A Case Study of Congressional Influence on Intelligence Community Evolution

National Research Council Canada - National Science Library

Wirth, Kevin E

2007-01-01

.... Although the United States Coast Guard has utilized intelligence capabilities since the service's inception in 1790, the Coast Guard was not included as a formal member of the Intelligence Community until December 2002. Mr...

Artificial Intelligence for Controlling Robotic Aircraft

Science.gov (United States)

Krishnakumar, Kalmanje

2005-01-01

A document consisting mostly of lecture slides presents overviews of artificial-intelligence-based control methods now under development for application to robotic aircraft [called Unmanned Aerial Vehicles (UAVs) in the paper] and spacecraft and to the next generation of flight controllers for piloted aircraft. Following brief introductory remarks, the paper presents background information on intelligent control, including basic characteristics defining intelligent systems and intelligent control and the concept of levels of intelligent control. Next, the paper addresses several concepts in intelligent flight control. The document ends with some concluding remarks, including statements to the effect that (1) intelligent control architectures can guarantee stability of inner control loops and (2) for UAVs, intelligent control provides a robust way to accommodate an outer-loop control architecture for planning and/or related purposes.

12 CFR 703.14 - Permissible investments.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Permissible investments. 703.14 Section 703.14 Banks and Banking NATIONAL CREDIT UNION ADMINISTRATION REGULATIONS AFFECTING CREDIT UNIONS INVESTMENT AND DEPOSIT ACTIVITIES § 703.14 Permissible investments. (a) Variable rate investment. A Federal...

Toward New-Generation Intelligent Manufacturing

Directory of Open Access Journals (Sweden)

Ji Zhou

2018-02-01

Full Text Available Intelligent manufacturing is a general concept that is under continuous development. It can be categorized into three basic paradigms: digital manufacturing, digital-networked manufacturing, and new-generation intelligent manufacturing. New-generation intelligent manufacturing represents an in-depth integration of new-generation artificial intelligence (AI technology and advanced manufacturing technology. It runs through every link in the full life-cycle of design, production, product, and service. The concept also relates to the optimization and integration of corresponding systems; the continuous improvement of enterprises’ product quality, performance, and service levels; and reduction in resources consumption. New-generation intelligent manufacturing acts as the core driving force of the new industrial revolution and will continue to be the main pathway for the transformation and upgrading of the manufacturing industry in the decades to come. Human-cyber-physical systems (HCPSs reveal the technological mechanisms of new-generation intelligent manufacturing and can effectively guide related theoretical research and engineering practice. Given the sequential development, cross interaction, and iterative upgrading characteristics of the three basic paradigms of intelligent manufacturing, a technology roadmap for “parallel promotion and integrated development” should be developed in order to drive forward the intelligent transformation of the manufacturing industry in China. Keywords: Advanced manufacturing, New-generation intelligent manufacturing, Human-cyber-physical system, New-generation AI, Basic paradigms, Parallel promotion, Integrated development

Design and economic investigation of shell and tube heat exchangers using Improved Intelligent Tuned Harmony Search algorithm

Directory of Open Access Journals (Sweden)

Oguz Emrah Turgut

2014-12-01

Full Text Available This study explores the thermal design of shell and tube heat exchangers by using Improved Intelligent Tuned Harmony Search (I-ITHS algorithm. Intelligent Tuned Harmony Search (ITHS is an upgraded version of harmony search algorithm which has an advantage of deciding intensification and diversification processes by applying proper pitch adjusting strategy. In this study, we aim to improve the search capacity of ITHS algorithm by utilizing chaotic sequences instead of uniformly distributed random numbers and applying alternative search strategies inspired by Artificial Bee Colony algorithm and Opposition Based Learning on promising areas (best solutions. Design variables including baffle spacing, shell diameter, tube outer diameter and number of tube passes are used to minimize total cost of heat exchanger that incorporates capital investment and the sum of discounted annual energy expenditures related to pumping and heat exchanger area. Results show that I-ITHS can be utilized in optimizing shell and tube heat exchangers.

Investment criteria of private equity/venture capital funds and financial performance of companies before initial investment

Directory of Open Access Journals (Sweden)

Zbigniew Drewniak

2013-12-01

Full Text Available Understanding and recognizing of the investment criteria of private equity/venture capital seems to be crucial for all parties of this market. Entrepreneurs, who are looking for the capital for financing their businesses, can easier find the most proper fund and better formulate their expectations. For the funds, specifying theirs investment criteria is the reflection of the investment strategy leading to its better wording. The fund's investmentcriteriaare also importantfor investors - capital donors. First of allthey wantto knowin whattypes of assetswill be investedtheirfunds. That can help to assess the risk involved in the investment and calculate the expected rate of return. In addition topresentation ofthe investment criteriaof private equity/venture capital funds, thepaper refers to thecompany's financialsituationbefore investments. That draw the company profile, the funds are most interested to invest. The turnover, net profit, profitability ratios and liquidity were analyzed to specify this profile.

Intelligence and Prosocial Behavior

DEFF Research Database (Denmark)

Han, Ru; Shi, Jiannong; Yong, W.

2012-01-01

Results of prev ious studies of the relationship between prosocial behav ior and intelligence hav e been inconsistent. This study attempts to distinguish the dif f erences between sev eral prosocial tasks, and explores the way s in which cognitiv e ability inf luences prosocial behav ior. In Study...... One and Two, we reexamined the relationship between prosocial behav ior and intelligence by employ ing a costly signaling theory with f our games. The results rev ealed that the prosocial lev el of smarter children is higher than that of other children in more complicated tasks but not so in simple...... tasks. In Study Three, we tested the moderation ef f ect of the av erage intelligence across classes, and the results did not show any group intelligence ef f ect on the relationship between intelligence and prosocial behav ior....

Time-reversal and Bayesian inversion

Science.gov (United States)

Debski, Wojciech

2017-04-01

Probabilistic inversion technique is superior to the classical optimization-based approach in all but one aspects. It requires quite exhaustive computations which prohibit its use in huge size inverse problems like global seismic tomography or waveform inversion to name a few. The advantages of the approach are, however, so appealing that there is an ongoing continuous afford to make the large inverse task as mentioned above manageable with the probabilistic inverse approach. One of the perspective possibility to achieve this goal relays on exploring the internal symmetry of the seismological modeling problems in hand - a time reversal and reciprocity invariance. This two basic properties of the elastic wave equation when incorporating into the probabilistic inversion schemata open a new horizons for Bayesian inversion. In this presentation we discuss the time reversal symmetry property, its mathematical aspects and propose how to combine it with the probabilistic inverse theory into a compact, fast inversion algorithm. We illustrate the proposed idea with the newly developed location algorithm TRMLOC and discuss its efficiency when applied to mining induced seismic data.

12 CFR 615.5133 - Investment management.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Investment management. 615.5133 Section 615... POLICIES AND OPERATIONS, AND FUNDING OPERATIONS Investment Management § 615.5133 Investment management. (a... management information systems that are appropriate for the level and complexity of your investment...

47 CFR 69.302 - Net investment.

Science.gov (United States)

2010-10-01

...) Investment in Accounts 2002, 2003 and to the extent such inclusions are allowed by this Commission, Account... Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES (CONTINUED) ACCESS CHARGES Apportionment of Net Investment § 69.302 Net investment. (a) Investment in Accounts 2001, 1220 and Class B Rural...

Foreign investments in modern economic activities

OpenAIRE

Emil Biber

2004-01-01

Worldwide economies are more and more linked by international economic and financial flows to globalization and economic integration phenomena that is effect and cause for them. External investments represent for investors a long-term investment abroad meanwhile for users these could be direct investments or portfolio investments

Investing without credible inter-period regulations. A bargaining approach with application to investments in natural resources

International Nuclear Information System (INIS)

Nordal, Kjell Bjoern

2002-01-01

A government's lack of credibility when promising future taxation and regulation of foreign direct investment is often regarded as an obstacle to foreign investment. As shown in this paper, the total lack of inter-period credibility may not necessarily prevent investments from taking place. Both the government and the investor can benefit from negotiating a series of short-lived agreements in which the investor obtains a share of the revenue generated from previous investments against the undertaking of making new investments. This assumes that intra-period agreements are respected by the parties

Intelligence rules of hysteresis in the feedforward trajectory control of piezoelectrically-driven nanostagers

Science.gov (United States)

Bashash, Saeid; Jalili, Nader

2007-02-01

Piezoelectrically-driven nanostagers have limited performance in a variety of feedforward and feedback positioning applications because of their nonlinear hysteretic response to input voltage. The hysteresis phenomenon is well known for its complex and multi-path behavior. To realize the underlying physics of this phenomenon and to develop an efficient compensation strategy, the intelligence properties of hysteresis with the effects of non-local memories are discussed here. Through performing a set of experiments on a piezoelectrically-driven nanostager with a high resolution capacitive position sensor, it is shown that for the precise prediction of the hysteresis path, certain memory units are required to store the previous hysteresis trajectory data. Based on the experimental observations, a constitutive memory-based mathematical modeling framework is developed and trained for the precise prediction of the hysteresis path for arbitrarily assigned input profiles. Using the inverse hysteresis model, a feedforward control strategy is then developed and implemented on the nanostager to compensate for the ever-present nonlinearity. Experimental results demonstrate that the controller remarkably eliminates the nonlinear effect, if memory units are sufficiently chosen for the inverse model.

Plant intelligence

Science.gov (United States)

Lipavská, Helena; Žárský, Viktor

2009-01-01

The concept of plant intelligence, as proposed by Anthony Trewavas, has raised considerable discussion. However, plant intelligence remains loosely defined; often it is either perceived as practically synonymous to Darwinian fitness, or reduced to a mere decorative metaphor. A more strict view can be taken, emphasizing necessary prerequisites such as memory and learning, which requires clarifying the definition of memory itself. To qualify as memories, traces of past events have to be not only stored, but also actively accessed. We propose a criterion for eliminating false candidates of possible plant intelligence phenomena in this stricter sense: an “intelligent” behavior must involve a component that can be approximated by a plausible algorithmic model involving recourse to stored information about past states of the individual or its environment. Re-evaluation of previously presented examples of plant intelligence shows that only some of them pass our test. “You were hurt?” Kumiko said, looking at the scar. Sally looked down. “Yeah.” “Why didn't you have it removed?” “Sometimes it's good to remember.” “Being hurt?” “Being stupid.”—(W. Gibson: Mona Lisa Overdrive) PMID:19816094

17 CFR 256.124 - Other investments.

Science.gov (United States)

2010-04-01

... 17 Commodity and Securities Exchanges 3 2010-04-01 2010-04-01 false Other investments. 256.124... COMPANY ACT OF 1935 2. Investments § 256.124 Other investments. This account shall include the cost or current value of investments, whichever is less, in securities, club memberships, associations, life...

12 CFR 615.5142 - Association investments.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Association investments. 615.5142 Section 615... POLICIES AND OPERATIONS, AND FUNDING OPERATIONS Investment Management § 615.5142 Association investments. An association may hold eligible investments listed in § 615.5140, with the approval of its funding...

75 FR 55372 - Tudor Employee Investment Fund LLC and Tudor Investment Corporation; Notice of Application

Science.gov (United States)

2010-09-10

... management business, the Fund Investors will be able to understand and evaluate the attendant risks... Investment Fund (other than investment objectives and strategies and form of organization) (the ``Subsequent... will operate as a non-diversified closed-end management investment company. Each Fund will be an...

Chinese investments in the EU

NARCIS (Netherlands)

Ebbers, H.A.; Zhang, J.

2010-01-01

China’s investments in the European Union are much lower than what you may expect given the economic size of both entities. These relatively low investments in Europe are a combination of priority and obstacles. The priority for investments is clearly in Asia, Africa and Latin America. This regional

Elementary epistemological features of machine intelligence

OpenAIRE

Horvat, Marko

2008-01-01

Theoretical analysis of machine intelligence (MI) is useful for defining a common platform in both theoretical and applied artificial intelligence (AI). The goal of this paper is to set canonical definitions that can assist pragmatic research in both strong and weak AI. Described epistemological features of machine intelligence include relationship between intelligent behavior, intelligent and unintelligent machine characteristics, observable and unobservable entities and classification of in...

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

12 CFR 1.8 - Nonconforming investments.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 1 2010-01-01 2010-01-01 false Nonconforming investments. 1.8 Section 1.8 Banks and Banking COMPTROLLER OF THE CURRENCY, DEPARTMENT OF THE TREASURY INVESTMENT SECURITIES § 1.8 Nonconforming investments. (a) A national bank's investment in securities that no longer conform to this part...

12 CFR 703.18 - Grandfathered investments.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 6 2010-01-01 2010-01-01 false Grandfathered investments. 703.18 Section 703... INVESTMENT AND DEPOSIT ACTIVITIES § 703.18 Grandfathered investments. (a) Subject to safety and soundness... zero coupon security with a maturity greater than 10 years, if it purchased the investment: (1) Before...

12 CFR 347.108 - Portfolio investments.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 4 2010-01-01 2010-01-01 false Portfolio investments. 347.108 Section 347.108... INTERNATIONAL BANKING § 347.108 Portfolio investments. (a) Portfolio investments. If a bank, directly or indirectly, acquires or holds an equity interest in a foreign organization as a portfolio investment and the...

75 FR 76630 - Direct Investment Surveys: BE-577, Quarterly Survey of U.S. Direct Investment Abroad-Direct...

Science.gov (United States)

2010-12-09

....S. Direct Investment Abroad--Direct Transactions of U.S. Reporter With Foreign Affiliate.'' The..., Quarterly Survey of U.S. Direct Investment Abroad--Direct Transactions of U.S. Reporter With Foreign...] RIN 0691--AA75 Direct Investment Surveys: BE-577, Quarterly Survey of U.S. Direct Investment Abroad...

Investment Timing When External Financing Is Costly

DEFF Research Database (Denmark)

Hirth, Stefan; Uhrig-Homburg, Marliese

2010-01-01

This paper analyzes the investment timing of firms facing two dimensions of financing constraints: Liquidity constraints and capital market frictions inducing financing costs. We show that liquidity constraints are not sufficient to explain voluntary investment delay. However, when additionally...... considering financing costs, we can explain both voluntary delay and acceleration of investment. More precisely, we find that investment thresholds are U-shaped in liquid funds. For high-liquidity firms, investment thresholds are decreasing (i.e. accelerated investment takes place) in either dimension...... of financing constraint. In contrast, investment thresholds are increasing (i.e. investment is further delayed) in either form of financing constraint for low-liquidity firms. For intermediate levels of liquidity, investment thresholds are U-shaped in market frictions....

GABA predicts visual intelligence.

Science.gov (United States)

Cook, Emily; Hammett, Stephen T; Larsson, Jonas

2016-10-06

Early psychological researchers proposed a link between intelligence and low-level perceptual performance. It was recently suggested that this link is driven by individual variations in the ability to suppress irrelevant information, evidenced by the observation of strong correlations between perceptual surround suppression and cognitive performance. However, the neural mechanisms underlying such a link remain unclear. A candidate mechanism is neural inhibition by gamma-aminobutyric acid (GABA), but direct experimental support for GABA-mediated inhibition underlying suppression is inconsistent. Here we report evidence consistent with a global suppressive mechanism involving GABA underlying the link between sensory performance and intelligence. We measured visual cortical GABA concentration, visuo-spatial intelligence and visual surround suppression in a group of healthy adults. Levels of GABA were strongly predictive of both intelligence and surround suppression, with higher levels of intelligence associated with higher levels of GABA and stronger surround suppression. These results indicate that GABA-mediated neural inhibition may be a key factor determining cognitive performance and suggests a physiological mechanism linking surround suppression and intelligence. Copyright © 2016 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

On attracting investment to Russian economy

Directory of Open Access Journals (Sweden)

Oleinik Elena

2017-01-01

Full Text Available Modern conditions of economic systems development have necessitated more precise directions of investment process for the economic growth to accelerate. The precipitous fall of oil prices that occurred in the second half of 2014 weighed heavily on foreign direct investment flows to oilexporting countries. The problem of attracting investment is one of the key problems of economic development. The aim of this study is to analyze and evaluate the shifts in the structure of investments, the study of the structure of investments to the Russian economy. Structural changes result from differences in the growth rate of the elements forming an economic system. An integral coefficient has been used for evaluation of structural changes. Multiple regression was used to analyze the impact of various factors on the change in structure of investment. The regression coefficients in the model give quantitative assessment of the pace of change in the structure as it depends on a specific factor. The model estimation shows that the variables “share of investments in manufacturing” (positive influence and “share of investments in the health, physical culture, education” (negative influence have the largest t-values. Hence, these two factors influence the structural changes in investments most strongly The evaluation and analysis of the structural shifts may lead to conclusions regarding the efficiency of the structure investment and adjustment of the economic policy.

Gravity inversion code

International Nuclear Information System (INIS)

Burkhard, N.R.

1979-01-01

The gravity inversion code applies stabilized linear inverse theory to determine the topography of a subsurface density anomaly from Bouguer gravity data. The gravity inversion program consists of four source codes: SEARCH, TREND, INVERT, and AVERAGE. TREND and INVERT are used iteratively to converge on a solution. SEARCH forms the input gravity data files for Nevada Test Site data. AVERAGE performs a covariance analysis on the solution. This document describes the necessary input files and the proper operation of the code. 2 figures, 2 tables

Identifying options for regulating the coordination of network investments with investments in distributed electricity generation

International Nuclear Information System (INIS)

Nisten, E.

2010-02-01

The increase in the distributed generation of electricity, with wind turbines and solar panels, necessitates investments in the distribution network. The current tariff regulation in the Dutch electricity industry, with its ex post evaluation of the efficiency of investments and the frontier shift in the x-factor, delays these investments. In the unbundled electricity industry, the investments in the network need to be coordinated with those in the distributed generation of electricity to enable the DSOs to build enough network capacity. The current Dutch regulations do not provide for a sufficient information exchange between the generators and the system operators to coordinate the investments. This paper analyses these two effects of the Dutch regulation, and suggests improvements to the regulation of the network connection and transportation tariffs to allow for sufficient network capacity and coordination between the investments in the network and in the generation of electricity. These improvements include locally differentiated tariffs that increase with an increasing concentration of distributed generators.

Financing Investment

DEFF Research Database (Denmark)

Hirth, Stefan; Flor, Christian Riis

Intuition suggests that corporate investment should be decreasing in financing constraints. We show that even when financing is obtained using a standard debt contract and there is symmetric information between the firm and outside investors, the relation is actually U-shaped. We thus provide a new...... theoretical explanation for the recent empirical findings of Cleary et al. (2007). We split up the endogenously implied financing costs and propose a trade-off between expected liquidation costs and second-best investment costs. For rather unconstrained firms, the risk of costly liquidation dominates the cost...

Stratigraphic inversion of pre-stack multicomponent data; Inversion stratigraphique multicomposante avant sommation

Energy Technology Data Exchange (ETDEWEB)

Agullo, Y.

2005-09-15

This thesis present the extension of mono-component seismic pre-stack data stratigraphical inversion method to multicomponent data, with the objective of improving the determination of reservoir elastic parameters. In addiction to the PP pressure waves, the PS converted waves proved their interest for imaging under gas clouds; and their potential is highly significant for the characterization of lithologies, fluids, fractures... Nevertheless the simultaneous use ol PP and PS data remains problematic because of their different the time scales. To jointly use the information contained in PP and PS data, we propose a method in three steps first, mono-component stratigraphic inversions of PP then PS data; second, estimation of the PP to PS time conversion law; third, multicomponent stratigraphic inversion. For the second point, the estimation of the PP to PS conversion law is based on minimizing the difference between the S impedances obtained from PP and PS mono-component stratigraphic inversion. The pre-stack mono-component stratigraphic inversions was adapted to the case of multicomponent data by leaving each type of data in its own time scale in order to avoid the distortion of the seismic wavelet. The results obtained on a realistic synthetic PP-PS case show on one hand that determining PP to PS conversion law (from the mono-component inversion results) is feasible, and on the other hand that the joint inversion of PP and PS data with this conversion law improves the results compared to the mono-component inversion ones. Although this is presented within the framework of the PP and PS multi-component data, the developed methodology adapts directly to PP and SS data for example. (author)

Sanitation investments in Ghana

DEFF Research Database (Denmark)

Awunyo-Akaba, Y.; Awunyo-Akaba, J.; Gyapong, M.

2016-01-01

with people’s willingness and ability to invest in household sanitation across all communities. The status of being a stranger i.e. migrant in the area left some populations without rights over the land they occupied and with low incentives to invest in sanitation, while indigenous communities were challenged......Background: Ghana’s low investment in household sanitation is evident from the low rates of improved sanitation. This study analysed how land ownership, tenancy security and livelihood patterns are related to sanitation investments in three adjacent rural and peri-urban communities in a district...... communities were triangulated with multiple interview material and contextual knowledge on social structures, history of settlement, land use, livelihoods, and access to and perceptions about sanitation. Results: This study shows that the history of settlement and land ownership issues are highly correlated...

12 CFR 211.9 - Investment procedures.

Science.gov (United States)

2010-01-01

... Investment procedures. (a) General provisions. 5 Direct and indirect investments shall be made in accordance... for general consent. An investment in a foreign bank may not be made under authority of paragraphs (b) or (c) of this section if: (1) After the investment, the foreign bank would be an affiliate of a...

The First Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI '06)

OpenAIRE

Augusto, Juan Carlos; Shapiro, Daniel

2007-01-01

The first annual workshop on the role of AI in ambient intelligence was held in Riva de Garda, Italy, on August 29, 2006. The workshop was colocated with the European Conference on Artificial Intelligence (ECAI 2006). It provided an opportunity for researchers in a variety of AI subfields together with representatives of commercial interests to explore ambient intelligence technology and applications.

Review on solving the inverse problem in EEG source analysis

Directory of Open Access Journals (Sweden)

Fabri Simon G

2008-11-01

Full Text Available Abstract In this primer, we give a review of the inverse problem for EEG source localization. This is intended for the researchers new in the field to get insight in the state-of-the-art techniques used to find approximate solutions of the brain sources giving rise to a scalp potential recording. Furthermore, a review of the performance results of the different techniques is provided to compare these different inverse solutions. The authors also include the results of a Monte-Carlo analysis which they performed to compare four non parametric algorithms and hence contribute to what is presently recorded in the literature. An extensive list of references to the work of other researchers is also provided. This paper starts off with a mathematical description of the inverse problem and proceeds to discuss the two main categories of methods which were developed to solve the EEG inverse problem, mainly the non parametric and parametric methods. The main difference between the two is to whether a fixed number of dipoles is assumed a priori or not. Various techniques falling within these categories are described including minimum norm estimates and their generalizations, LORETA, sLORETA, VARETA, S-MAP, ST-MAP, Backus-Gilbert, LAURA, Shrinking LORETA FOCUSS (SLF, SSLOFO and ALF for non parametric methods and beamforming techniques, BESA, subspace techniques such as MUSIC and methods derived from it, FINES, simulated annealing and computational intelligence algorithms for parametric methods. From a review of the performance of these techniques as documented in the literature, one could conclude that in most cases the LORETA solution gives satisfactory results. In situations involving clusters of dipoles, higher resolution algorithms such as MUSIC or FINES are however preferred. Imposing reliable biophysical and psychological constraints, as done by LAURA has given superior results. The Monte-Carlo analysis performed, comparing WMN, LORETA, sLORETA and SLF

Intelligent editor/printer enhancements

Science.gov (United States)

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

1983-01-01

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

Predictive Estimates of Employees’ Intelligence at Workplace with Special Reference to Emotional and Spiritual Intelligence

OpenAIRE

B. K. Punia; Priyanka Yadav

2015-01-01

The piece of writing investigates the relationship between employees’ emotional and Spiritual intelligence. A conversation of spirituality and emotions within the workplace can be an unthinkable topic. However, emotional intelligence and spiritual intelligence are, at present, more widely acknowledged. Drawing a research connected with these construct we suggest that emotional intelligence within the employees in organisations may provide employees with a medium to better understand and mix s...

Artificial Intelligence and Economic Theories

OpenAIRE

Marwala, Tshilidzi; Hurwitz, Evan

2017-01-01

The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. Artificial intelligence is a computational technique which is inspired by natural intelligence such as the swarming of birds, the working of the brain and the pathfinding of the ants. These techniques have impact on economic theories. This book studies the impact of artificial intelligence on economic theories, a subject that has not been extensively studied. The theories that...

31 CFR 537.311 - New investment.

Science.gov (United States)

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false New investment. 537.311 Section 537....311 New investment. (a) The term new investment means any of the following activities if such activity... located in Burma, without regard to the form of the participation. (b) The term new investment shall not...

Government Strategic Support for Investment Activity

Science.gov (United States)

Turekulova, Assiya N.; Mukhambetova, Lyazzat K.; Doshan, Almagul S.; Issabekov, Baurzhan N.; Chimgentbayeva, Gulbakyt K.; Turegeldinova, Aliya Zh.

2016-01-01

When system risks are high most investors choose to exit the market; however, there are some contrarian investors who opt to make investments. The authors analyzed the main goals of the investment process and measures that should be provided by the government to stimulate investments and innovation especially by means of investment banking. The…

12 CFR 956.2 - Authorized investments.

Science.gov (United States)

2010-01-01

... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Authorized investments. 956.2 Section 956.2... ITEMS FEDERAL HOME LOAN BANK INVESTMENTS § 956.2 Authorized investments. In addition to assets... securities of any small business investment company formed pursuant to 15 U.S.C. 681(d), to the extent such...

Does Investment Treaty Affect the Improvement on FDI?

OpenAIRE

Eunsook Seo

2008-01-01

The paper analyzes how investment treaty affects investment creation. Analysis results show that investment treaty could not directly affect the increase in investment with the form of investment agreement contradicting and the opening of investment treaty countries have increased a great deal of investment. Contracting the investment agreement means to ultimately improve the investment environment such as policy transparency, simplification of administration, and the simplification or the cl...

Reform of investment policy in the function of sustainable development with special emphasis on investment in information technologies

Directory of Open Access Journals (Sweden)

Dragičević-Radičević Tatjana

2017-01-01

Full Text Available Global economy still records a decline in FDI. The main causes are increased economic instability and geopolitical risks. Given the continued negative trend, it is clear that it is necessary to reform the investment policies at the national, regional, bilateral, multilateral and international level, to ensure sustainable economic development. Key elements of the reforms are: to provide instruments to reduce risks, create mechanisms of responsible investment, improve the structural coherence and promote regional investments. Refer to the current dates of the sectors investments (according to the report of UNCTAD from 2015th shows that the services sector recorded double growth compared to the investment in the manufacturing sector in 2012. Also, if we take into consideration the fact that investment in IT sector investment involves three aspects: transactional (minimizing costs, strategic (innovation technologies, achieving competitiveness and information (improving access to information and communications, it may be assumed that the reforms in the investment policies should be directly correlated with investments in information technology.

Inverse planning IMRT

International Nuclear Information System (INIS)

Rosenwald, J.-C.

2008-01-01

The lecture addressed the following topics: Optimizing radiotherapy dose distribution; IMRT contributes to optimization of energy deposition; Inverse vs direct planning; Main steps of IMRT; Background of inverse planning; General principle of inverse planning; The 3 main components of IMRT inverse planning; The simplest cost function (deviation from prescribed dose); The driving variable : the beamlet intensity; Minimizing a 'cost function' (or 'objective function') - the walker (or skier) analogy; Application to IMRT optimization (the gradient method); The gradient method - discussion; The simulated annealing method; The optimization criteria - discussion; Hard and soft constraints; Dose volume constraints; Typical user interface for definition of optimization criteria; Biological constraints (Equivalent Uniform Dose); The result of the optimization process; Semi-automatic solutions for IMRT; Generalisation of the optimization problem; Driving and driven variables used in RT optimization; Towards multi-criteria optimization; and Conclusions for the optimization phase. (P.A.)

Intelligence by consent

DEFF Research Database (Denmark)

Diderichsen, Adam; Rønn, Kira Vrist

2017-01-01

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

Intelligent transport systems deployment in Thessaloniki: Assessment of costs and benefits

Directory of Open Access Journals (Sweden)

Mitsakis Evangelos

2015-01-01

Full Text Available Transportation projects often require large initial investments and are expected to generate benefits extending far into the future. Thus, there is a need to compare benefits and costs that occur at different periods over time. Since money has a time value, the same amount of money at different time periods does not have the same value. Therefore, it is important to convert costs and benefits into equivalent values when conducting a Cost-Benefit Analysis (CBA. A special category of transportation projects is that of Intelligent Transport Systems (ITS. ITS comprise innovative solutions for travel demand and traffic management, and it is expected to play a key role in future sustainable urban development plans. Compared to other transportation projects, ITS have a lower initial investment. In this paper a framework based on a CBA is presented, assessing costs and benefits of three ITS projects implemented in Thessaloniki, Greece. The paper refers to future developments of ITS in the city of Thessaloniki. The examined systems have already been developed as demonstration systems in various regions throughout Europe. The benefits of the systems have been transferred and scaled up, so as to be in line with the specific characteristics of the Greek environment.

Investment in Developing Countries

Science.gov (United States)

Motooka, Takeshi

1973-01-01

The fundamental problems of investment in rural education in the present developing countries are analyzed. Needs of rural education are outlined and financial considerations related to investment in the improvement of rural educational programs are discussed. (SM)

APPROACHES FOR EVALUATING AND FINANCING INVESTMENT PROJECTS

Directory of Open Access Journals (Sweden)

MARIA-LOREDANA POPESCU

2011-04-01

Full Text Available This article presents the financial investment approach and the investment evaluation methods, which are criteria for assessing both investment projects and their funding sources. An important role in the analysis carried out is played by the investment decision and financing decision quality. Making an investment decision implies computing the related investment efficiency indicators. They allow the comparison of several variants of the same investment project as well as their comparison with other projects in the same industry or in other industries. The financing decision concerns the selection between their own sources (share capital, depreciation fund, profits, reserve funds, additional capital, revenues from investments, attracted sources (domestic resource mobilization and borrowed sources (credits.

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...

What Is Artificial Intelligence Anyway?

Science.gov (United States)

Kurzweil, Raymond

1985-01-01

Examines the past, present, and future status of Artificial Intelligence (AI). Acknowledges the limitations of AI but proposes possible areas of application and further development. Urges a concentration on the unique strengths of machine intelligence rather than a copying of human intelligence. (ML)

Competitive Intelligence and Social Advantage.

Science.gov (United States)

Davenport, Elisabeth; Cronin, Blaise

1994-01-01

Presents an overview of issues concerning civilian competitive intelligence (CI). Topics discussed include competitive advantage in academic and research environments; public domain information and libraries; covert and overt competitive intelligence; data diversity; use of the Internet; cooperative intelligence; and implications for library and…

Soft computing in artificial intelligence

CERN Document Server

Matson, Eric

2014-01-01

This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve it. This edition provides readers with the most recent progress and novel solutions in artificial intelligence. This book aims at presenting the research results and solutions of applications in relevance with artificial intelligence technologies. We propose to researchers and practitioners some methods to advance the intelligent systems and apply artificial intelligence to specific or general purpose. This book consists of 13 contributions that feature fuzzy (r, s)-minimal pre- and β-open sets, handling big coocurrence matrices, Xie-Beni-type fuzzy cluster validation, fuzzy c-regression models, combination of genetic algorithm and ant colony optimization, building expert system, fuzzy logic and neural network, ind...

From green investments to ecotax

International Nuclear Information System (INIS)

Stam, B.

1996-01-01

Since 1991 several fiscal regulations are in effect for businesses, energy companies and civilians to invest in environmental and renewable projects. Although those so-called 'green investment' options are a great success, there is another, less positive, side to that success. Characteristics, advantages and disadvantages of several fiscal tools to invest in renewable energy are briefly discussed

Investments for medical equipment in a mother and child health hospital: correlation with level of services/departments.

Science.gov (United States)

Trevisanuto, Daniele; Raggi, Roberto; Bavuusuren, Bayasgalantai; Tudevdorj, Erkhembaatar; Doglioni, Nicoletta; Zanardo, Vincenzo

2011-02-01

To assess whether investments for medical equipments assigned by a team of experts to a mother and child health hospital located in Mongolia were correlated with structural, organizational, and educational level of its services/departments. A score was used for evaluating the level of each service/department. It was based on a 'structural area' and an 'organizational and educational area'. Destination of funds was determined by a team of experts in collaboration with the head of the service/department. Thirty-three of 36 services/departments (91.6%) were evaluated. A total sum of 4,432,140 Euros to invest in medical equipment was estimated. Assigned investments were inversely correlated with the total (structural plus organizational and educational area) score (n = 33; r =  -0.59; p = 0.0002), and the specific scores for structural area (n = 33; r = -0.46; p = 0.005) and organizational and educational area (n = 33; r =  -0.56; p = 0.0006). A large part of the funds for medical equipment was destined to services/departments with low organizational and educational conditions, limiting the potential effect of the aid meanwhile supporting the most in need departments. Educational efforts and monitoring of specific long-term indicators are mandatory.

Relationship between Emotional Intelligence and

Directory of Open Access Journals (Sweden)

Vahid Rafieyan

2014-07-01

Full Text Available Language learners’ awareness of target language pragmatic features is influenced by individual difference variables, the least explored one being emotional intelligence. To investigate the relationship between emotional intelligence and pragmatic awareness, the current study was conducted over 120 Iranian senior undergraduates of English as a Foreign Language at a university in Iran. Pragmatic awareness was measured through a 12-scenario contextualized pragmatic judgment task. Emotional intelligence was also measured through the EQ-i. The results of the Pearson correlation revealed a strong positive relationship between emotional intelligence and pragmatic awareness. The pedagogical implications of the findings suggested incorporation of emotion-driven authentic materials in English language classes to invoke emotional intelligence in language learners.

Emotional intelligence of mental health nurses.

Science.gov (United States)

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

2011-02-01

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

Intelligent Environmental Nanomaterials

KAUST Repository

Chang, Jian

2018-01-30

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

Intelligent Environmental Nanomaterials

KAUST Repository

Chang, Jian; Zhang, Lianbin; Wang, Peng

2018-01-01

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

Inadequate Evidence for Multiple Intelligences, Mozart Effect, and Emotional Intelligence Theories

Science.gov (United States)

Waterhouse, Lynn

2006-01-01

I (Waterhouse, 2006) argued that, because multiple intelligences, the Mozart effect, and emotional intelligence theories have inadequate empirical support and are not consistent with cognitive neuroscience findings, these theories should not be applied in education. Proponents countered that their theories had sufficient empirical support, were…

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...

Missouri airport investment study

Science.gov (United States)

The studys purpose is to provide MoDOT with insight to the potential ROI for airport : investments in terms of economic development. To do so, this study addresses two central : objectives: first, an approach to evaluate airport investments; and s...

Pemanfaatan Limbah Investment Menjadi Barang Kerajinan

Directory of Open Access Journals (Sweden)

Hastuti Kusreni

2016-04-01

Full Text Available Penelitian ini dimaksudkan untuk memanfaatkan kembali limbah investment padat yang dihasilkan dengan menggunakan teknologi proses pembuatan barang kerajinan yang bisa  diterapkan untuk usaha kecil kerajinan. Pada pembuatan perhiasan dengan metode wax lost casting digunakan bahan investment powder yang menghasilkan limbah padat investment. Limbah padat investment bisa dibuat barang kerajinan dengan cara menambah resin katalist, gips, alkasit, sabut kelapa, semen putih, yang bertujuan untuk memperbaiki sifat plastisitas, meningkatkan kekuatan dan mempercepat pengeringan. Untuk menentukan kualitas sampel dilakukan uji terhadap sifat plastisitas, kekuatan, kekerasan dan waktu pengeringan yang dilakukan secara visual. Hasil olahan limbah investment dengan penambahan gips, alkasit, sabut kelapa dengan komposisi 10:2:1:4, pengeringan selama 3 hari menghasilkan barang kerajinan yang kurang keras, plastis dan kuat. Hasil olahan limbah investment dengan penambahan gips, semen putih dengan komposisi 10:2:4, pengeringan selama 3 jam menghasilkan barang kerajinan yang keras dan plastis. Kata kunci : limbah investment padat

Reliability and Validity of the New Tanaka B Intelligence Scale Scores: A Group Intelligence Test

OpenAIRE

Uno, Yota; Mizukami, Hitomi; Ando, Masahiko; Yukihiro, Ryoji; Iwasaki, Yoko; Ozaki, Norio

2014-01-01

OBJECTIVE: The present study evaluated the reliability and concurrent validity of the new Tanaka B Intelligence Scale, which is an intelligence test that can be administered on groups within a short period of time. METHODS: The new Tanaka B Intelligence Scale and Wechsler Intelligence Scale for Children-Third Edition were administered to 81 subjects (mean age ± SD 15.2 ± 0.7 years) residing in a juvenile detention home; reliability was assessed using Cronbach's alpha coefficient, and concurre...

Hybrid-augmented intelligence:collaboration and cognition

Institute of Scientific and Technical Information of China (English)

Nan-ning ZHENG; Zi-yi LIU; Peng-ju REN; Yong-qiang MA; Shi-tao CHEN; Si-yu YU; Jian-ru XUE

2017-01-01

The long-term goal of artificial intelligence (AI) is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented intelligence. This form of AI or machine intelligence is a feasible and important developing model. Hybrid-augmented intelligence can be divided into two basic models:one is human-in-the-loop augmented intelligence with human-computer collaboration, and the other is cognitive computing based augmented intelligence, in which a cognitive model is embedded in the machine learning system. This survey describes a basic framework for human-computer collaborative hybrid-augmented intelligence, and the basic elements of hybrid-augmented intelligence based on cognitive computing. These elements include intuitive reasoning, causal models, evolution of memory and knowledge, especially the role and basic principles of intuitive reasoning for complex problem solving, and the cognitive learning framework for visual scene understanding based on memory and reasoning. Several typical applications of hybrid-augmented intelligence in related fields are given.

Irreversible investments revisited

DEFF Research Database (Denmark)

Sandal, Leif K.; Steinshamn, Stein I.; Hoff, Ayoe

2007-01-01

A multi-dimensional, non-linear dynamic model in continuous time is presented for the purpose of finding the optimal combination of exploitation and capital investment in optimal renewable resource management. Non-malleability of capital is incorporated in the model through an asymmetric cost......-function of investment, and investments can be both positive and negative. Exploitation is controlled through the utilisation rate of available capital. A novel feature in this model is that there are costs associated with the available capital whether it is utilised or not. And, in contrast to most of the previous...... literature, the state variables, namely the physical capital and the biological resource, enter the objective function. Due to the nonlinearities in this model some of the results are in sharp contrast to previous literature....

Intelligent indexing

International Nuclear Information System (INIS)

Farkas, J.

1992-01-01

In this paper we discuss the relevance of artificial intelligence to the automatic indexing of natural language text. We describe the use of domain-specific semantically-based thesauruses and address the problem of creating adequate knowledge bases for intelligent indexing systems. We also discuss the relevance of the Hilbert space ι 2 to the compact representation of documents and to the definition of the similarity of natural language texts. (author). 17 refs., 2 figs

Intelligent indexing

Energy Technology Data Exchange (ETDEWEB)

Farkas, J

1993-12-31

In this paper we discuss the relevance of artificial intelligence to the automatic indexing of natural language text. We describe the use of domain-specific semantically-based thesauruses and address the problem of creating adequate knowledge bases for intelligent indexing systems. We also discuss the relevance of the Hilbert space {iota}{sup 2} to the compact representation of documents and to the definition of the similarity of natural language texts. (author). 17 refs., 2 figs.

How to Improve Artificial Intelligence through Web

OpenAIRE

Adrian Lupasc

2005-01-01

Intelligent agents, intelligent software applications and artificial intelligent applications from artificial intelligence service providers may make their way onto the Web in greater number as adaptive software, dynamic programming languages and Learning Algorithms are introduced into Web Services. The evolution of Web architecture may allow intelligent applications to run directly on the Web by introducing XML, RDF and logic layer. The Intelligent Wireless Web’s significant potential for ra...

Artificial Intelligence--Applications in Education.

Science.gov (United States)

Poirot, James L.; Norris, Cathleen A.

1987-01-01

This first in a projected series of five articles discusses artificial intelligence and its impact on education. Highlights include the history of artificial intelligence and the impact of microcomputers; learning processes; human factors and interfaces; computer assisted instruction and intelligent tutoring systems; logic programing; and expert…

Political Orientations, Intelligence and Education

Science.gov (United States)

Rindermann, Heiner; Flores-Mendoza, Carmen; Woodley, Michael A.

2012-01-01

The social sciences have traditionally assumed that education is a major determinant of citizens' political orientations and behavior. Several studies have also shown that intelligence has an impact. According to a theory that conceptualizes intelligence as a "burgher" (middle-class, civil) phenomenon--intelligence should promote civil…

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

Science.gov (United States)

Storek, Josephine; Furnham, Adrian

2013-01-01

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

12 CFR 225.111 - Limit on investment by bank holding company system in stock of small business investment companies.

Science.gov (United States)

2010-01-01

.... L. 90-104, 81 Stat. 268, 270), a national bank may invest in stock of small business investment... system in stock of small business investment companies. 225.111 Section 225.111 Banks and Banking FEDERAL... Limit on investment by bank holding company system in stock of small business investment companies. (a...

Quo Vadis, Artificial Intelligence?

OpenAIRE

Berrar, Daniel; Sato, Naoyuki; Schuster, Alfons

2010-01-01

Since its conception in the mid 1950s, artificial intelligence with its great ambition to understand and emulate intelligence in natural and artificial environments alike is now a truly multidisciplinary field that reaches out and is inspired by a great diversity of other fields. Rapid advances in research and technology in various fields have created environments into which artificial intelligence could embed itself naturally and comfortably. Neuroscience with its desire to understand nervou...

Methodology, Birth Order, Intelligence, and Personality.

Science.gov (United States)

Michalski, Richard L.; Shackelford, Todd K.

2001-01-01

Critiques recent research on the effects of birth order on intelligence and personality, which found that the between-family design revealed that birth order negatively related to intelligence, while the within-family design revealed that birth order was unrelated to intelligence. Suggests that it may not be intelligence that co-varies with birth…

Challenging problems and solutions in intelligent systems

CERN Document Server

Grzegorzewski, Przemysław; Kacprzyk, Janusz; Owsiński, Jan; Penczek, Wojciech; Zadrożny, Sławomir

2016-01-01

This volume presents recent research, challenging problems and solutions in Intelligent Systems– covering the following disciplines: artificial and computational intelligence, fuzzy logic and other non-classic logics, intelligent database systems, information retrieval, information fusion, intelligent search (engines), data mining, cluster analysis, unsupervised learning, machine learning, intelligent data analysis, (group) decision support systems, intelligent agents and multi-agent systems, knowledge-based systems, imprecision and uncertainty handling, electronic commerce, distributed systems, etc. The book defines a common ground for sometimes seemingly disparate problems and addresses them by using the paradigm of broadly perceived intelligent systems. It presents a broad panorama of a multitude of theoretical and practical problems which have been successfully dealt with using the paradigm of intelligent computing.

Precommitted Investment Strategy versus Time-Consistent Investment Strategy for a Dual Risk Model

Directory of Open Access Journals (Sweden)

Lidong Zhang

2014-01-01

Full Text Available We are concerned with optimal investment strategy for a dual risk model. We assume that the company can invest into a risk-free asset and a risky asset. Short-selling and borrowing money are allowed. Due to lack of iterated-expectation property, the Bellman Optimization Principle does not hold. Thus we investigate the precommitted strategy and time-consistent strategy, respectively. We take three steps to derive the precommitted investment strategy. Furthermore, the time-consistent investment strategy is also obtained by solving the extended Hamilton-Jacobi-Bellman equations. We compare the precommitted strategy with time-consistent strategy and find that these different strategies have different advantages: the former can make value function maximized at the original time t=0 and the latter strategy is time-consistent for the whole time horizon. Finally, numerical analysis is presented for our results.

Intelligent Tutoring System: A Tool for Testing the Research Curiosities of Artificial Intelligence Researchers

Science.gov (United States)

Yaratan, Huseyin

2003-01-01

An ITS (Intelligent Tutoring System) is a teaching-learning medium that uses artificial intelligence (AI) technology for instruction. Roberts and Park (1983) defines AI as the attempt to get computers to perform tasks that if performed by a human-being, intelligence would be required to perform the task. The design of an ITS comprises two distinct…

Traditional Enterprise Business Intelligence Software Compared to Software as a Service Business Intelligence

Directory of Open Access Journals (Sweden)

Marian Pompiliu CRISTESCU

2016-01-01

Full Text Available The focus of this paper is on the one hand on the importance of business intelligence in large and medium-sized businesses and on the other side on the evaluation and implementation of Business Intelligence. It shows how companies make better and faster decisions regarding their customers, partners and operations by converting data into valuable business information. The paper describes how to bring business intelligence information, people and technology together to help to create a successful business strategy. The conclusion of the paper is the assessment of the possibility of business intelligence to develop projects in large and medium-sized companies and the discussion of the possible alternatives with respect to the different functions.

Intelligence Campaign Planning: An Opportunity for the Army in Defense Intelligence Synchronization

National Research Council Canada - National Science Library

McAninch, Kevin A

2007-01-01

...) Intelligence Community (IC) implementation and execution of Intelligence Campaign Planning (ICP). ICP is emerging as a new procedure for the DoD IC to centrally plan ISR Synchronization in support of regional combatant commander operation plans...

The relationships between low levels of urine fluoride on children's intelligence, dental fluorosis in endemic fluorosis areas in Hulunbuir, Inner Mongolia, China.

Science.gov (United States)

Ding, Yunpeng; YanhuiGao; Sun, Huixin; Han, Hepeng; Wang, Wei; Ji, Xiaohong; Liu, Xuehui; Sun, Dianjun

2011-02-28

There has been public concern about children's intellectual performance at high levels of fluoride exposure, but few studies provide data directly to the question of whether low fluoride exposure levels less than 3.0 mg/L in drinking water adversely associated with children's intelligence. In this survey, we investigated the effects of low fluoride exposure on children's intelligence and dental fluorosis. 331 children aged from 7 to 14 were randomly recruited from four sites in Hulunbuir City, China. Intelligence was assessed using Combined Raven Test-The Rural in China while dental fluorosis was diagnosed with Dean's index. Mean value of fluoride in drinking water was 1.31±1.05 mg/L (range 0.24-2.84). Urine fluoride was inversely associated with IQ in the multiple linear regression model when children's age as a covariate variable was taken into account (Pintelligence and dental health and confirmed the dose-response relationships between urine fluoride and IQ scores as well as dental fluorosis. Copyright © 2010 Elsevier B.V. All rights reserved.

Proceedings of the Workshop on software tools for distributed intelligent control systems

Energy Technology Data Exchange (ETDEWEB)

Herget, C.J. (ed.)

1990-09-01

The Workshop on Software Tools for Distributed Intelligent Control Systems was organized by Lawrence Livermore National Laboratory for the United States Army Headquarters Training and Doctrine Command and the Defense Advanced Research Projects Agency. The goals of the workshop were to the identify the current state of the art in tools which support control systems engineering design and implementation, identify research issues associated with writing software tools which would provide a design environment to assist engineers in multidisciplinary control design and implementation, formulate a potential investment strategy to resolve the research issues and develop public domain code which can form the core of more powerful engineering design tools, and recommend test cases to focus the software development process and test associated performance metrics. Recognizing that the development of software tools for distributed intelligent control systems will require a multidisciplinary effort, experts in systems engineering, control systems engineering, and compute science were invited to participate in the workshop. In particular, experts who could address the following topics were selected: operating systems, engineering data representation and manipulation, emerging standards for manufacturing data, mathematical foundations, coupling of symbolic and numerical computation, user interface, system identification, system representation at different levels of abstraction, system specification, system design, verification and validation, automatic code generation, and integration of modular, reusable code.

The Construction of Intelligent English Teaching Model Based on Artificial Intelligence

Directory of Open Access Journals (Sweden)

Xiaoguang Li

2017-12-01

Full Text Available In order to build a modernized tool platform that can help students improve their English learning efficiency according to their mastery of knowledge and personality, this paper develops an online intelligent English learning system that uses Java and artificial intelligence language Prolog as the software system. This system is a creative reflection of the thoughts of expert system in artificial intelligence. Established on the Struts Spring Hibernate lightweight JavaEE framework, the system modules are coupled with each other in a much lower degree, which is convenient to future function extension. Combined with the idea of expert system in artificial intelligence, the system developed appropriate learning strategies to help students double the learning effect with half the effort; Finally, the system takes into account the forgetting curve of memory, on which basis the knowledge that has been learned will be tested periodically, intending to spare students’ efforts to do a sea of exercises and obtain better learning results.

Research of relationship between uncertainty and investment

Institute of Scientific and Technical Information of China (English)

MENG Li; WANG Ding-wei

2005-01-01

This study focuses on revealing the relationship between uncertainty and investment probability through real option model involving investment critical trigger and project earning. Use of Matlab software on the experimental results showing that project earning volatility influences investment probability, led the authors to conclude that this notion is not always correct, as increasing uncertainty should have an inhibiting effect on investment, and that in certain situation, increasing uncertainty actually increases the investment probability and so, should have positive impact on investment.

Post-modern portfolio theory supports diversification in an investment portfolio to measure investment's performance

OpenAIRE

Rasiah, Devinaga

2012-01-01

This study looks at the Post-Modern Portfolio Theory that maintains greater diversification in an investment portfolio by using the alpha and the beta coefficient to measure investment performance. Post-Modern Portfolio Theory appreciates that investment risk should be tied to each investor's goals and the outcome of this goal did not symbolize economic of the financial risk. Post-Modern Portfolio Theory's downside measure generated a noticeable distinction between downside and upside volatil...

General Intelligence, Emotional Intelligence and Academic Knowledge as Predictors of Creativity Domains: A Study of Gifted Students

Science.gov (United States)

Sahin, Feyzullah

2016-01-01

Creativity of the individual is dependent on numerous factors, such as knowledge, general intelligence and emotional intelligence. The general purpose of this study is to investigate the effect of general intelligence, emotional intelligence and academic knowledge on the emerging of domain-specific creativity. The study was conducted on 178…

Intelligent environmental sensing

CERN Document Server

Mukhopadhyay, Subhas

2015-01-01

Developing environmental sensing and monitoring technologies become essential especially for industries that may cause severe contamination. Intelligent environmental sensing uses novel sensor techniques, intelligent signal and data processing algorithms, and wireless sensor networks to enhance environmental sensing and monitoring. It finds applications in many environmental problems such as oil and gas, water quality, and agriculture. This book addresses issues related to three main approaches to intelligent environmental sensing and discusses their latest technological developments. Key contents of the book include:   Agricultural monitoring Classification, detection, and estimation Data fusion Geological monitoring Motor monitoring Multi-sensor systems Oil reservoirs monitoring Sensor motes Water quality monitoring Wireless sensor network protocol  

Investment banks in AIC – alternative loan

Directory of Open Access Journals (Sweden)

O.V. Lysenok

2015-03-01

Full Text Available Determining the status and problems of modern investment in agricultural enterprises, as well as ways to improve their financial security. The article deals with the essence of investments and their varieties. The dynamics of the securities portfolio of domestic banks and investments in agriculture. According to a study submitted proposals to increase investment banking businesses in the agricultural sector, which is necessary to create such conditions are not included in the calculation of the volume of investment regulations investment banking provided by agribusiness companies; availability of specialized banks, which will focus its resources on the development of agricultural enterprises; give banks the opportunity to issue special investment certificates, which received funds will be channeled exclusively on investing in the development of agricultural enterprises; for the above to create an appropriate legal framework.

Computer automation and artificial intelligence

International Nuclear Information System (INIS)

Hasnain, S.B.

1992-01-01

Rapid advances in computing, resulting from micro chip revolution has increased its application manifold particularly for computer automation. Yet the level of automation available, has limited its application to more complex and dynamic systems which require an intelligent computer control. In this paper a review of Artificial intelligence techniques used to augment automation is presented. The current sequential processing approach usually adopted in artificial intelligence has succeeded in emulating the symbolic processing part of intelligence, but the processing power required to get more elusive aspects of intelligence leads towards parallel processing. An overview of parallel processing with emphasis on transputer is also provided. A Fuzzy knowledge based controller for amination drug delivery in muscle relaxant anesthesia on transputer is described. 4 figs. (author)

Artificial intelligence and the future.

Science.gov (United States)

Clocksin, William F

2003-08-15

We consider some of the ideas influencing current artificial-intelligence research and outline an alternative conceptual framework that gives priority to social relationships as a key component and constructor of intelligent behaviour. The framework starts from Weizenbaum's observation that intelligence manifests itself only relative to specific social and cultural contexts. This is in contrast to a prevailing view, which sees intelligence as an abstract capability of the individual mind based on a mechanism for rational thought. The new approach is not based on the conventional idea that the mind is a rational processor of symbolic information, nor does it require the idea that thought is a kind of abstract problem solving with a semantics that is independent of its embodiment. Instead, priority is given to affective and social responses that serve to engage the whole agent in the life of the communities in which it participates. Intelligence is seen not as the deployment of capabilities for problem solving, but as constructed by the continual, ever-changing and unfinished engagement with the social group within the environment. The construction of the identity of the intelligent agent involves the appropriation or 'taking up' of positions within the conversations and narratives in which it participates. Thus, the new approach argues that the intelligent agent is shaped by the meaning ascribed to experience, by its situation in the social matrix, and by practices of self and of relationship into which intelligent life is recruited. This has implications for the technology of the future, as, for example, classic artificial intelligence models such as goal-directed problem solving are seen as special cases of narrative practices instead of as ontological foundations.

76 FR 58420 - Direct Investment Surveys: BE-12, Benchmark Survey of Foreign Direct Investment in the United States

Science.gov (United States)

2011-09-21

...] RIN 0691-AA80 Direct Investment Surveys: BE-12, Benchmark Survey of Foreign Direct Investment in the... of Foreign Direct Investment in the United States. Benchmark surveys are conducted every five years; the prior survey covered 2007. The benchmark survey covers the universe of foreign direct investment...

Intelligent Mission Controller Node

National Research Council Canada - National Science Library

Perme, David

2002-01-01

The goal of the Intelligent Mission Controller Node (IMCN) project was to improve the process of translating mission taskings between real-world Command, Control, Communications, Computers, and Intelligence (C41...

Foundations of Intelligent Systems : Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering

CERN Document Server

Li, Tianrui

2012-01-01

Proceedings of The Sixth International Conference on Intelligent System and Knowledge Engineering presents selected papers from the conference ISKE 2011, held December 15-17 in Shanghai, China. This proceedings doesn’t only examine original research and approaches in the broad areas of intelligent systems and knowledge engineering, but also present new methodologies and practices in intelligent computing paradigms. The book introduces the current scientific and technical advances in the fields of artificial intelligence, machine learning, pattern recognition, data mining, information retrieval, knowledge-based systems, knowledge representation and reasoning, multi-agent systems, natural-language processing, etc. Furthermore, new computing methodologies are presented, including cloud computing, service computing and pervasive computing with traditional intelligent methods. The proceedings will be beneficial for both researchers and practitioners who want to utilize intelligent methods in their specific resea...

Emotional Intelligence: Requiring Attention

Directory of Open Access Journals (Sweden)

Monica Tudor

2016-01-01

Full Text Available This article aims to highlight the need for emotional intelligence. Two methods of measurementare presented in this research, in order to better understand the necessity of a correct result. Theresults of research can lead to recommendations for improving levels of emotional intelligence andare useful for obtaining data to better compare past and present result. The papers presented inthis research are significant for future study of this subject. The first paper presents the evolutionof emotional intelligence in the past two years, more specifically its decrease concerning certaincharacteristics. The second one presents a research on the differences between generations. Thethird one shows a difference in emotional intelligence levels of children from rural versus urbanenvironments and the obstacles that they encounter in their own development.

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....

Multiple Intelligences, the Mozart Effect, and Emotional Intelligence: A Critical Review

Science.gov (United States)

Waterhouse, Lynn

2006-01-01

This article reviews evidence for multiple intelligences theory, the Mozart effect theory, and emotional intelligence theory and argues that despite their wide currency in education these theories lack adequate empirical support and should not be the basis for educational practice. Each theory is compared to theory counterparts in cognitive…

Sharp spatially constrained inversion

DEFF Research Database (Denmark)

Vignoli, Giulio G.; Fiandaca, Gianluca G.; Christiansen, Anders Vest C A.V.C.

2013-01-01

We present sharp reconstruction of multi-layer models using a spatially constrained inversion with minimum gradient support regularization. In particular, its application to airborne electromagnetic data is discussed. Airborne surveys produce extremely large datasets, traditionally inverted...... by using smoothly varying 1D models. Smoothness is a result of the regularization constraints applied to address the inversion ill-posedness. The standard Occam-type regularized multi-layer inversion produces results where boundaries between layers are smeared. The sharp regularization overcomes...... inversions are compared against classical smooth results and available boreholes. With the focusing approach, the obtained blocky results agree with the underlying geology and allow for easier interpretation by the end-user....

The development of intelligent healthcare in China.

Science.gov (United States)

Zheng, Xiaochen; Rodríguez-Monroy, Carlos

2015-05-01

Intelligent healthcare (IH) is proposed with the fast application of Internet of Things technology in the healthcare area in recent years. It is considered as an expansion of e-health and telemedicine. As the largest developing country, China is investing large amounts of resources to push forward the development of IH. It is one of the centerpieces of the country's New Healthcare Reform, and great expectation is placed on it to help solve the conflict between limited healthcare resources and the large patient population. Essential policies, milestones, standards, and specifications from the Chinese government since the 1990s were reviewed to show the brief development history of IH in China. Some typical cases and products have been analyzed to present the current situation. The main problems and future development directions have been summarized. The IH industry in China has great potential and is growing very fast, but a lot of challenges also exist. In the future both government support and the active participation of nongovernmental capital are needed to push forward the whole industry.

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...

Introduction to Schroedinger inverse scattering

International Nuclear Information System (INIS)

Roberts, T.M.

1991-01-01

Schroedinger inverse scattering uses scattering coefficients and bound state data to compute underlying potentials. Inverse scattering has been studied extensively for isolated potentials q(x), which tend to zero as vertical strokexvertical stroke→∞. Inverse scattering for isolated impurities in backgrounds p(x) that are periodic, are Heaviside steps, are constant for x>0 and periodic for x<0, or that tend to zero as x→∞ and tend to ∞ as x→-∞, have also been studied. This paper identifies literature for the five inverse problems just mentioned, and for four other inverse problems. Heaviside-step backgrounds are discussed at length. (orig.)

A Generalization of the Spherical Inversion

Science.gov (United States)

Ramírez, José L.; Rubiano, Gustavo N.

2017-01-01

In the present article, we introduce a generalization of the spherical inversion. In particular, we define an inversion with respect to an ellipsoid, and prove several properties of this new transformation. The inversion in an ellipsoid is the generalization of the elliptic inversion to the three-dimensional space. We also study the inverse images…

Cooperation and the evolution of intelligence.

Science.gov (United States)

McNally, Luke; Brown, Sam P; Jackson, Andrew L

2012-08-07

The high levels of intelligence seen in humans, other primates, certain cetaceans and birds remain a major puzzle for evolutionary biologists, anthropologists and psychologists. It has long been held that social interactions provide the selection pressures necessary for the evolution of advanced cognitive abilities (the 'social intelligence hypothesis'), and in recent years decision-making in the context of cooperative social interactions has been conjectured to be of particular importance. Here we use an artificial neural network model to show that selection for efficient decision-making in cooperative dilemmas can give rise to selection pressures for greater cognitive abilities, and that intelligent strategies can themselves select for greater intelligence, leading to a Machiavellian arms race. Our results provide mechanistic support for the social intelligence hypothesis, highlight the potential importance of cooperative behaviour in the evolution of intelligence and may help us to explain the distribution of cooperation with intelligence across taxa.

Recent Advances on Hybrid Intelligent Systems

CERN Document Server

Melin, Patricia; Kacprzyk, Janusz

2013-01-01

This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algo...

A Neuroeconomics Analysis of Investment Process with Money Flow Information: The Error-Related Negativity

Directory of Open Access Journals (Sweden)

Cuicui Wang

2015-01-01

Full Text Available This investigation is among the first ones to analyze the neural basis of an investment process with money flow information of financial market, using a simplified task where volunteers had to choose to buy or not to buy stocks based on the display of positive or negative money flow information. After choosing “to buy” or “not to buy,” participants were presented with feedback. At the same time, event-related potentials (ERPs were used to record investor’s brain activity and capture the event-related negativity (ERN and feedback-related negativity (FRN components. The results of ERN suggested that there might be a higher risk and more conflict when buying stocks with negative net money flow information than positive net money flow information, and the inverse was also true for the “not to buy” stocks option. The FRN component evoked by the bad outcome of a decision was more negative than that by the good outcome, which reflected the difference between the values of the actual and expected outcome. From the research, we could further understand how investors perceived money flow information of financial market and the neural cognitive effect in investment process.

A Neuroeconomics Analysis of Investment Process with Money Flow Information: The Error-Related Negativity

Science.gov (United States)

Wang, Cuicui; Vieito, João Paulo; Ma, Qingguo

2015-01-01

This investigation is among the first ones to analyze the neural basis of an investment process with money flow information of financial market, using a simplified task where volunteers had to choose to buy or not to buy stocks based on the display of positive or negative money flow information. After choosing “to buy” or “not to buy,” participants were presented with feedback. At the same time, event-related potentials (ERPs) were used to record investor's brain activity and capture the event-related negativity (ERN) and feedback-related negativity (FRN) components. The results of ERN suggested that there might be a higher risk and more conflict when buying stocks with negative net money flow information than positive net money flow information, and the inverse was also true for the “not to buy” stocks option. The FRN component evoked by the bad outcome of a decision was more negative than that by the good outcome, which reflected the difference between the values of the actual and expected outcome. From the research, we could further understand how investors perceived money flow information of financial market and the neural cognitive effect in investment process. PMID:26557139

Putting Emotional Intelligence To Work

CERN Document Server

Ryback, David

2012-01-01

Putting Emotional Intelligence to Work offers a new paradigm of communication for the 21st-century workplace. Beginning with the thoughts of communication pioneer Carl Rogers, this book covers the origins and history of emotional intelligence, why it is essential at this point in the changing marketplace, how to delegate and negotiate more effectively, and how to change yourself to become a more effective player. An EQ (Emotional Quotient) survey helps you determine where you are on the scale of executive intelligence. Putting Emotional Intelligence to Work leaves you with a greater understand

Evolving Military Intelligence: The Effect of the Military Intelligence Service (MIS) and the Military Intelligence Organization (MIO) During the Korean and Vietnam Wars

Science.gov (United States)

2017-06-09

Doctrine Publication (ADP) 2-0, Intelligence (Washington, DC: Government Printing Office, 2012), 1. 2 Scott D. Berrier, “ILE Branch Day” (Lecture, Command...Combat Intelligence (Washington, DC: Government Printing Office, 1951), 11-15. 6 groups of MI specialist teams within a larger tactical unit; allowing...Department of the Army, TOE 30- 115T, Combat Electronic Warfare Intelligence Battalion, Division (Washington, DC: Government Printing Office, 1976

76 FR 79054 - Direct Investment Surveys: BE-12, Benchmark Survey of Foreign Direct Investment in the United States

Science.gov (United States)

2011-12-21

...] RIN 0691-AA80 Direct Investment Surveys: BE-12, Benchmark Survey of Foreign Direct Investment in the... reporting requirements for the 2012 BE-12, Benchmark Survey of Foreign Direct Investment in the United... survey covers the universe of foreign direct investment in the United States, and is BEA's most detailed...

Rating in the Assessment of Investment Property

Directory of Open Access Journals (Sweden)

Śmietana Katarzyna

2014-07-01

Full Text Available The implementation of rating procedures is associated with searching for tools that provide an objective and standardized assessment of investment risk. For this reason, rating is an important and often essential element of investment decision-making processes which determines the development of the capital market, including the real estate investment market. In the investment property market, not only does rating provide transparency of property risk, but it can also be used for real estate portfolio analysis, investment controlling, and the analysis of factors determining investment decisions (ESV 2012.

Investment patterns in Dutch glasshouse horticulture

NARCIS (Netherlands)

Goncharova, N.

2007-01-01

Keywords: investment, uncertainty, investment spikes, entry, exit, duration model, GMM dynamic panel data estimator, Negative Binomial model, Heckman selection model, moving window ARIMA, Principal Component analysis, horticulture

This thesis focuses on the analysis of investment

47 CFR 32.1406 - Nonregulated investments.

Science.gov (United States)

2010-10-01

... 47 Telecommunication 2 2010-10-01 2010-10-01 false Nonregulated investments. 32.1406 Section 32.1406 Telecommunication FEDERAL COMMUNICATIONS COMMISSION (CONTINUED) COMMON CARRIER SERVICES UNIFORM... Nonregulated investments. This account shall include the carrier's investment in nonregulated activities...

Students’ logical-mathematical intelligence profile

Science.gov (United States)

Arum, D. P.; Kusmayadi, T. A.; Pramudya, I.

2018-04-01

One of students’ characteristics which play an important role in learning mathematics is logical-mathematical intelligence. This present study aims to identify profile of students’ logical-mathematical intelligence in general and specifically in each indicator. It is also analyzed and described based on students’ sex. This research used qualitative method with case study strategy. The subjects involve 29 students of 9th grade that were selected by purposive sampling. Data in this research involve students’ logical-mathematical intelligence result and interview. The results show that students’ logical-mathematical intelligence was identified in the moderate level with the average score is 11.17 and 51.7% students in the range of the level. In addition, the level of both male and female students are also mostly in the moderate level. On the other hand, both male and female students’ logical-mathematical intelligence is strongly influenced by the indicator of ability to classify and understand patterns and relationships. Furthermore, the ability of comparison is the weakest indicator. It seems that students’ logical-mathematical intelligence is still not optimal because more than 50% students are identified in moderate and low level. Therefore, teachers need to design a lesson that can improve students’ logical-mathematical intelligence level, both in general and on each indicator.

The foundations of plant intelligence.

Science.gov (United States)

Trewavas, Anthony

2017-06-06

Intelligence is defined for wild plants and its role in fitness identified. Intelligent behaviour exhibited by single cells and systems similarity between the interactome and connectome indicates neural systems are not necessary for intelligent capabilities. Plants sense and respond to many environmental signals that are assessed to competitively optimize acquisition of patchily distributed resources. Situations of choice engender motivational states in goal-directed plant behaviour; consequent intelligent decisions enable efficient gain of energy over expenditure. Comparison of swarm intelligence and plant behaviour indicates the origins of plant intelligence lie in complex communication and is exemplified by cambial control of branch function. Error correction in behaviours indicates both awareness and intention as does the ability to count to five. Volatile organic compounds are used as signals in numerous plant interactions. Being complex in composition and often species and individual specific, they may represent the plant language and account for self and alien recognition between individual plants. Game theory has been used to understand competitive and cooperative interactions between plants and microbes. Some unexpected cooperative behaviour between individuals and potential aliens has emerged. Behaviour profiting from experience, another simple definition of intelligence, requires both learning and memory and is indicated in the priming of herbivory, disease and abiotic stresses.

Dental ethics and emotional intelligence.

Science.gov (United States)

Rosenblum, Alvin B; Wolf, Steve

2014-01-01

Dental ethics is often taught, viewed, and conducted as an intell enterprise, uninformed by other noncognitive factors. Emotional intelligence (EQ) is defined distinguished from the cognitive intelligence measured by Intelligence Quotient (IQ). This essay recommends more inclusion of emotional, noncognitive input to the ethical decision process in dental education and dental practice.

Policy Uncertainty, Investment and Commitment Periods

Energy Technology Data Exchange (ETDEWEB)

NONE

2007-07-01

Today's investment decisions in key sectors such as energy, forestry or transport have significant impacts on the levels of greenhouse gas (GHG) emissions over the coming decades. Given the economic and environmental long-term implications of capital investment and retirement, a climate mitigation regime should aim to encourage capital investment in climate-friendly technologies. Many factors affect technology choice and the timing of investment, including investor expectations about future prices and policies. Recent international discussions have focused on the importance of providing more certainty about future climate policy stringency. The design of commitment periods can play a role in creating this environment. This paper assesses how the length of commitment periods influences policy uncertainty and investment decisions. In particular, the paper analyses the relationship between commitment period length and near term investment decisions in climate friendly technology.

Socially responsible investments in mutual funds

Directory of Open Access Journals (Sweden)

Funaru, M.

2011-01-01

Full Text Available This paper aims to add contribution to the socially responsible investments (from now on called “SRI” research by examining the significance of this type of investment in terms of ethical or financial prior behaviour. Using the sample of European market of socially responsible investments funds, we first explore the SRI market dimension compared to the global data on SRI. We also investigate whether the ethical recognition is more important rather than the financial performance. Applied to the European social responsible investment fund market, the paper investigates the difference between these two aspects of behaviour and underlies the importance of socially responsible investments in promoting a sustainable development.

Intelligence Is What the Intelligence Test Measures. Seriously

Directory of Open Access Journals (Sweden)

Han L. J. van der Maas

2014-02-01

Full Text Available The mutualism model, an alternative for the g-factor model of intelligence, implies a formative measurement model in which “g” is an index variable without a causal role. If this model is accurate, the search for a genetic of brain instantiation of “g” is deemed useless. This also implies that the (weighted sum score of items of an intelligence test is just what it is: a weighted sum score. Preference for one index above the other is a pragmatic issue that rests mainly on predictive value.

Artificial Intelligence in Civil Engineering

Directory of Open Access Journals (Sweden)

Pengzhen Lu

2012-01-01

Full Text Available Artificial intelligence is a branch of computer science, involved in the research, design, and application of intelligent computer. Traditional methods for modeling and optimizing complex structure systems require huge amounts of computing resources, and artificial-intelligence-based solutions can often provide valuable alternatives for efficiently solving problems in the civil engineering. This paper summarizes recently developed methods and theories in the developing direction for applications of artificial intelligence in civil engineering, including evolutionary computation, neural networks, fuzzy systems, expert system, reasoning, classification, and learning, as well as others like chaos theory, cuckoo search, firefly algorithm, knowledge-based engineering, and simulated annealing. The main research trends are also pointed out in the end. The paper provides an overview of the advances of artificial intelligence applied in civil engineering.

Identification of the Heat Transfer Coefficient in the Inverse Stefan Problem by Using the ABC Algorithm

Directory of Open Access Journals (Sweden)

E. Hetmaniok

2012-12-01

Full Text Available A procedure based on the Artificial Bee Colony algorithm for solving the two-phase axisymmetric one-dimensional inverse Stefanproblem with the third kind boundary condition is presented in this paper. Solving of the considered problem consists in reconstruction of the function describing the heat transfer coefficient appearing in boundary condition of the third kind in such a way that the reconstructed values of temperature would be as closed as possible to the measurements of temperature given in selected points of the solid. A crucial part of the solution method consists in minimizing some functional which will be executed with the aid of one of the swarm intelligence algorithms - the ABC algorithm.

Childhood intelligence, educational attainment and adult body mass index: findings from a prospective cohort and within sibling-pairs analysis.

Science.gov (United States)

Lawlor, D A; Clark, H; Davey Smith, G; Leon, D A

2006-12-01

The mechanisms underlying the observed association of childhood intelligence with body mass index (BMI) are unclear and few studies of this association have been prospective in design. Prospective study in a birth cohort of 5467 individuals who were born in Aberdeen, Scotland between 1950 and 1956 and who responded to a follow-up survey in 2001. Comparison of associations within sibling pairs of the same family to associations between different families in 643 sibling pairs (1286 individuals) who are participants in the main cohort. Childhood intelligence (age 7 years) and educational attainment were both inversely associated with adult BMI (mean age 48 years): the sex- and age-adjusted mean change in adult BMI per s.d. of intelligence was -0.35 kg/m(2) (95% CI: -0.49, -0.21 kg/m(2)) and per unit increase in educational category (seven categories) was -0.28 kg/m(2) (95% CI: -0.34, -0.22). On adjustment for education the association between childhood intelligence and adult BMI attenuated to the null (-0.03 kg/m(2) (-0.19, 0.13 kg/m(2))); other potential confounding or mediating factors had little or only modest effects on this association. The association between education and adult BMI was not affected by adjustment for childhood intelligence or other potential covariates. The within sibling-pair effect of education on adult BMI (-0.06 kg/m(2) (95% CI: -0.26, 0.14)) was weaker than the effect between different families (-0.37 kg/m(2) (95%CI: -0.58, -0.17)), P-value for difference of within sibling and between family effect=0.03. The association of childhood intelligence with adult BMI is attenuated to the null on adjustment for educational attainment, whereas the association of educational attainment with adult BMI appears to be independent of childhood intelligence and other measured covariates. However, our family analyses suggest that fixed family and neighbourhood factors, which are closely matched in siblings of a similar age, explain much of the association

Applying Multiple Intelligences

Science.gov (United States)

Christodoulou, Joanna A.

2009-01-01

The ideas of multiple intelligences introduced by Howard Gardner of Harvard University more than 25 years ago have taken form in many ways, both in schools and in other sometimes-surprising settings. The silver anniversary of Gardner's learning theory provides an opportunity to reflect on the ways multiple intelligences theory has taken form and…

Wake Vortex Inverse Model User's Guide

Science.gov (United States)

Lai, David; Delisi, Donald

2008-01-01

NorthWest Research Associates (NWRA) has developed an inverse model for inverting landing aircraft vortex data. The data used for the inversion are the time evolution of the lateral transport position and vertical position of both the port and starboard vortices. The inverse model performs iterative forward model runs using various estimates of vortex parameters, vertical crosswind profiles, and vortex circulation as a function of wake age. Forward model predictions of lateral transport and altitude are then compared with the observed data. Differences between the data and model predictions guide the choice of vortex parameter values, crosswind profile and circulation evolution in the next iteration. Iterations are performed until a user-defined criterion is satisfied. Currently, the inverse model is set to stop when the improvement in the rms deviation between the data and model predictions is less than 1 percent for two consecutive iterations. The forward model used in this inverse model is a modified version of the Shear-APA model. A detailed description of this forward model, the inverse model, and its validation are presented in a different report (Lai, Mellman, Robins, and Delisi, 2007). This document is a User's Guide for the Wake Vortex Inverse Model. Section 2 presents an overview of the inverse model program. Execution of the inverse model is described in Section 3. When executing the inverse model, a user is requested to provide the name of an input file which contains the inverse model parameters, the various datasets, and directories needed for the inversion. A detailed description of the list of parameters in the inversion input file is presented in Section 4. A user has an option to save the inversion results of each lidar track in a mat-file (a condensed data file in Matlab format). These saved mat-files can be used for post-inversion analysis. A description of the contents of the saved files is given in Section 5. An example of an inversion input

Alternative approaches to transmission investment

Energy Technology Data Exchange (ETDEWEB)

Welch, J.L. [International Transmission Co., Detroit, MI (United States)

2004-07-01

The International Transmission Company (ITC) is an independent power transmission company that owns, operates and maintains the high voltage transmission system in southeastern Michigan. The company's current focus is on investing in the transmission infrastructure to improve reliability, relieve congestion, improve access to generation and reduce energy costs for consumers. There is a need for investment in power transmission. Trends indicate that power transactions are on the rise while transmission investment is lagging because pricing protocols are inadequate and there is no regional tariff mechanism to allocate the benefits of new investment. The presentation reviewed the applicability of FTRs to transmission owners and the pitfalls of participant funding pricing. It also outlined the regional benefit allocation mechanism (RBAM) with an illustrative example. It was concluded that existing pricing policies must be improved to address the growing need for transmission investment. RBAM is needed to help investors recover costs from project beneficiaries. figs.

Principles of artificial intelligence

CERN Document Server

Nilsson, Nils J

1980-01-01

A classic introduction to artificial intelligence intended to bridge the gap between theory and practice, Principles of Artificial Intelligence describes fundamental AI ideas that underlie applications such as natural language processing, automatic programming, robotics, machine vision, automatic theorem proving, and intelligent data retrieval. Rather than focusing on the subject matter of the applications, the book is organized around general computational concepts involving the kinds of data structures used, the types of operations performed on the data structures, and the properties of th

Environmental Tobacco Smoke Exposure and Children’s Intelligence at 8–11 Years of Age

Science.gov (United States)

Park, Subin; Cho, Soo-Churl; Hong, Yun-Chul; Shin, Min-Sup; Yoo, Hee Jeong; Han, Doug Hyun; Cheong, Jae Hoon

2014-01-01

Background: Evidence supporting a link between postnatal environmental tobacco smoke (ETS) exposure and cognitive problems among children is mounting, but inconsistent. Objectives: We examined the relationship between ETS exposure, measured using urine cotinine, and IQ scores in Korean school-aged children. Methods: The participants were 996 children 8–11 years of age recruited from five administrative regions in South Korea. We performed a cross-sectional analysis of urinary cotinine concentrations and IQ scores obtained using the abbreviated form of a Korean version of the Wechsler Intelligence Scales for Children. Associations were adjusted for potential confounders, and estimates were derived with and without adjustment for mother’s Full-Scale IQ (FSIQ) score. Results: After adjusting for sociodemographic and developmental covariates, urinary cotinine concentrations were inversely associated with FSIQ, Verbal IQ (VIQ), Performance IQ (PIQ), vocabulary, math, and block design scores. Following further adjustment for maternal IQ, only the VIQ scores remained significantly associated with urinary cotinine concentration (B = –0.31; 95% CI: –0.60, –0.03 for a 1-unit increase in natural log-transformed urine cotinine concentration; p = 0.03). Conclusion: Urine cotinine concentrations were inversely associated with children’s VIQ scores before and after adjusting for maternal IQ. Further prospective studies with serial measurements of cotinine are needed to confirm our findings. Citation: Park S, Cho SC, Hong YC, Kim JW, Shin MS, Yoo HJ, Han DH, Cheong JH, Kim BN. 2014. Environmental tobacco smoke exposure and children’s intelligence at 8–11 years of age. Environ Health Perspect 122:1123–1128; http://dx.doi.org/10.1289/ehp.1307088 PMID:24911003

13 CFR 301.7 - Investment Assistance proposal.

Science.gov (United States)

2010-01-01

... 13 Business Credit and Assistance 1 2010-01-01 2010-01-01 false Investment Assistance proposal... COMMERCE ELIGIBILITY, INVESTMENT RATE AND PROPOSAL AND APPLICATION REQUIREMENTS Proposal and Application Requirements; Evaluation Criteria § 301.7 Investment Assistance proposal. (a) The EDA Investment Assistance...

Finans/Invest - Årsrapport 2014

DEFF Research Database (Denmark)

Bechmann, Ken L.

2015-01-01

Lederen gør status for Finans/Invest i 2014 gennem en "årsrapport", hvor en række centrale nøgletal for Finans/Invest præsenteres. Nøgletallene viser eksempelvis, at ca. hver femte artikel/artikelforslag afvises, at forfatterne til publicerede artikler er ligeligt fordelt mellem akademikere og...... praktikere, samt at artiklerne i Finans/Invest har givet anledning til en del medieopmærksomhed i 2014....

Keynes, investment, unemployment and expectations

OpenAIRE

Smith, Ron P.; Zoega, Gylfi

2009-01-01

In Keynes' General Theory, investment determines effective demand, which determines unemployment and the labour market plays a negligible role. In New Keynesian models, labour market institutions determine the natural rate of unemployment and the speed at which unemployment adjusts to it. Investment is mostly ignored as a key variable behind the problem of high unemployment, despite a strong empirical association between investment and unemployment. We discuss the evolution of the 'Keynesian'...

Optimal Inversion Parameters for Full Waveform Inversion using OBS Data Set

Science.gov (United States)

Kim, S.; Chung, W.; Shin, S.; Kim, D.; Lee, D.

2017-12-01

In recent years, full Waveform Inversion (FWI) has been the most researched technique in seismic data processing. It uses the residuals between observed and modeled data as an objective function; thereafter, the final subsurface velocity model is generated through a series of iterations meant to minimize the residuals.Research on FWI has expanded from acoustic media to elastic media. In acoustic media, the subsurface property is defined by P-velocity; however, in elastic media, properties are defined by multiple parameters, such as P-velocity, S-velocity, and density. Further, the elastic media can also be defined by Lamé constants, density or impedance PI, SI; consequently, research is being carried out to ascertain the optimal parameters.From results of advanced exploration equipment and Ocean Bottom Seismic (OBS) survey, it is now possible to obtain multi-component seismic data. However, to perform FWI on these data and generate an accurate subsurface model, it is important to determine optimal inversion parameters among (Vp, Vs, ρ), (λ, μ, ρ), and (PI, SI) in elastic media. In this study, staggered grid finite difference method was applied to simulate OBS survey. As in inversion, l2-norm was set as objective function. Further, the accurate computation of gradient direction was performed using the back-propagation technique and its scaling was done using the Pseudo-hessian matrix.In acoustic media, only Vp is used as the inversion parameter. In contrast, various sets of parameters, such as (Vp, Vs, ρ) and (λ, μ, ρ) can be used to define inversion in elastic media. Therefore, it is important to ascertain the parameter that gives the most accurate result for inversion with OBS data set.In this study, we generated Vp and Vs subsurface models by using (λ, μ, ρ) and (Vp, Vs, ρ) as inversion parameters in every iteration, and compared the final two FWI results.This research was supported by the Basic Research Project(17-3312) of the Korea Institute of

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

Directory of Open Access Journals (Sweden)

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.

\\t Capital Planning and Investment Control (CPIC) for the Management of Information Technology Investments

Science.gov (United States)

Capital Planning and Investment Control (CPIC) is the Information Technology (IT) governance and management methodology in use at EPA for selecting, controlling and evaluating the performance of EPA IT investments throughout the full lifecycle.

The brain triuno and the ethical intelligence: fundamental counterfoil of the multifocal intelligence

Directory of Open Access Journals (Sweden)

C. Seijo

2013-10-01

Full Text Available This study has for aim offer an analysis as for the brain triuno and the ethical intelligence: fundamental Counterfoil of the multifocal intelligence, taking in tells one of the theories that it sustains her like they are the different types of multiple intelligences established by Beauport and Cury (2004. The theoretical sustenance, it is based on the contents of Martin (2005, Belohlavek (2007, Galicians (2002, Beauport and Cury (2004, between others, being realized under a symbolic interpretive approach, across a qualitative methodology, type descriptive and not experimental design, by means of a documentary analysis. In this regard, it is found that the ethical intelligence is a mental mechanism that constructs the structural preconceptos and the rules of game with which an individual approaches the reality, that is to say, it is the capacity of the general formation, predicting the behavior for the achievement of aims organizacionales. As for the final considerations they focused in obtaining the most wide knowledge inside the organizations, allowing to reflect before the weaknesses that they present thinking about the brain triuno applying the multifocal intelligence, fundamental counterfoil of the ethical intelligence and of what way the rationing visualizes the strengths, nevertheless of the weaknesses that they present.