Comparison of Potential Sites in China for Erecting a Hybrid Solar Tower Power Plant with Air Receiver

AbstractIn this work transient simulation results of a hybrid solar tower power plant with openvolumetric receiver technology are presented for several locations in China. The openvolumetric receiver uses ambient air as heat transfer fluid and the hybridization can be realized with additional firing. The solar receiver and/or the additional firing heat up the air which is then passed through a boiler of a conventional Rankine cycle. The simulated plantis based on the configuration of the solar thermal test and demonstration power plant located in Jülich (STJ). The investigatedplant operates in hybrid - parallelmode which allows a constant power generation. The meteorological data for the different sites in China was taken from the software Meteonorm in a time resolution of one hour. The solar tower power simulation tool was developed in the simulation environment MATLAB/Simulink

Observation of highly dispersive bands in pure thin film C60_{60}

While long-theorized, the direct observation of multiple highly dispersive C$_{60}$ valence bands has eluded researchers for more than two decades due to a variety of intrinsic and extrinsic factors. Here we report a realization of multiple highly dispersive (330-520 meV) valence bands in pure thin film C$_{60}$ on a novel substrate--the three-dimensional topological insulator Bi$_{2}$Se$_{3}$--through the use of angle-resolved photoemission spectroscopy (ARPES) and first-principles calculations. The effects of this novel substrate reducing C$_{60}$ rotational disorder are discussed. Our results provide important considerations for past and future band structure studies as well as the increasingly popular C$_{60}$ electronic device applications, especially those making use of heterostructures.Comment: 7 pages, 4 figure

Embodied imitation-enhanced reinforcement learning in multi-agent systems

Imitation is an example of social learning in which an individual observes and copies another's actions. This paper presents a new method for using imitation as a way of enhancing the learning speed of individual agents that employ a well-known reinforcement learning algorithm, namely Q-learning. Compared with other research that uses imitation with reinforcement learning, our method uses imitation of purely observed behaviours to enhance learning, with no internal state access or sharing of experiences between agents. The paper evaluates our imitation-enhanced reinforcement learning approach in both simulation and with real robots in continuous space. Both simulation and real robot experimental results show that the learning speed of the group is improved. © The Author(s) 2013

Towards Rapid Multi-robot Learning from Demonstration at the RoboCup Competition

Abstract. We describe our previous and current efforts towards achiev-ing an unusual personal RoboCup goal: to train a full team of robots directly through demonstration, on the field of play at the RoboCup venue, how to collaboratively play soccer, and then use this trained team in the competition itself. Using our method, HiTAB, we can train teams of collaborative agents via demonstration to perform nontrivial joint behaviors in the form of hierarchical finite-state automata. We discuss HiTAB, our previous efforts in using it in RoboCup 2011 and 2012, recent experimental work, and our current efforts for 2014, then suggest a new RoboCup Technical Challenge problem in learning from demonstration. Imagine that you are at an unfamiliar disaster site with a team of robots, and are faced with a previously unseen task for them to do. The robots have only rudimentary but useful utility behaviors implemented. You are not a programmer. Without coding them, you have only a few hours to get your robots doing useful collaborative work in this new environment. How would you do this

The 42nd Symposium Chromatographic Methods of Investigating Organic Compounds : Book of abstracts

The 42nd Symposium Chromatographic Methods of Investigating Organic Compounds : Book of abstracts. June 4-7, 2019, Szczyrk, Polan

Intrapersonal antecedents of career outcomes.

This chapter provides an updated review and commentary on the empirical literature on individual difference antecedents of careers outcomes, before suggesting areas for future research. We focus primarily on the research conducted since Judge and Kammeyer-Mueller’s (2007) review of the Big Five, proactive personality, and core self-evaluations (CSE) predictors of career outcomes , as well as recent research developments on the following predictors that have garnered relatively intense research attention over the last decade: the dark triad traits, self-monitoring, and general mental ability (GMA). Before proceeding with that discussion, we briefly consider the nature of career success and underscore that individual differences represent a mere component of the constellation of factors that affect the career outcomes people experience

Understanding the basis of intelligent company

This article attempts exposure enterprise concept of intelligent and specify its characteristics. It identified three key features of the intelligent enterprise: learning, association and understanding. Detailed studies were characteristic of understanding. For this purpose, based on the results of empirical research conducted among students of the Faculty of Management and Economics Gdańsk University of Technology. Improving this feature enables enterprises to intelligently maintain a competitive edge.W artykule podjęto próbę naświetlenia koncepcji przedsiębiorstwa inteligentnego oraz wyszczególnienia jego cech charakterystycznych. Zidentyfikowano trzy kluczowe cechy inteligentnego przedsiębiorstwa: uczenie się, kojarzenie oraz rozumienie. Szczegółowym badaniom poddano cechę rozumienia. W tym celu wykorzystano wyniki badań empirycznych przeprowadzonych wśród studentów Wydziału Zarządzania i Ekonomii Politechniki Gdańskiej. Doskonalenie tej cechy umożliwia przedsiębiorstwu inteligentnemu utrzymanie przewagi konkurencyjnej

Probing the Antecedents and Nature of Career Success

International audienceThe purpose of this symposium is to meta-analytically review the career success literature, as well as to enrich and extend this literature by exploring four fundamental questions about the nature of career success. First, what is unique and what is common about how career success is conceptualized and attained in different career fields? Second, how might individual and contextual predictors interact in affecting career outcomes? Third, might the received conceptualization of career success as a cumulative outcome be usefully supplemented by reconceptualizing it as an emergent process? Finally and perhaps most controversially, is there really such a thing as objective career success? The opening paper, Objective and Subjective Career Success: A Meta-Analysis of Predictors, will provide an updated meta-analytic response to the perennial question: What predicts career success? The second paper, a qualitative study on Career Success in the Context of School Teaching and Business, will explore the meaning of career success and forms of career capital that enable it within different career fields. The third paper will be a quantitative study on Predicting Career Success: The Joint Impact of Trait Competitiveness and Competitive Climate at Work. The final two conceptual papers will critique some of the most well-established foundations of the careers literature by exploring the potential merit of reconceptualizing Career Success as an Emergent Process, and also When and Why Objective Career Success Deserves a Demotion. Each of the five papers aims to address the imperative for more nuanced approaches to conceptualizing and/or studying career success. <br/