Search results for "e learning"
showing 10 items of 2703 documents
Land cover classification of VHR airborne images for citrus grove identification
2011
Abstract Managing land resources using remote sensing techniques is becoming a common practice. However, data analysis procedures should satisfy the high accuracy levels demanded by users (public or private companies and governments) in order to be extensively used. This paper presents a multi-stage classification scheme to update the citrus Geographical Information System (GIS) of the Comunidad Valenciana region (Spain). Spain is the first citrus fruit producer in Europe and the fourth in the world. In particular, citrus fruits represent 67% of the agricultural production in this region, with a total production of 4.24 million tons (campaign 2006–2007). The citrus GIS inventory, created in…
Linear vs. non-linear classification of winners, drawers and losers at FIFA World Cup 2014
2017
Purpose: Tactical analyses to distinguish between football teams that were more or less successful have been conducted up to now only by means of linear methods (like discriminant analysis). Concer...
Business models to offer customized output in electronic commerce
2003
Seller-driven business models (e.g. online bookstores) have been successfully implemented and concretized in Electronic Commerce both in practice and science in the last years. In contrast to this we can depict that more customer-driven business models are implemented in the beginning. One major problem of customizable products and services in Electronic Commerce can be found in the adaptation of the human advisory activity which is inevitable in the traditional sale. For this reason we depict the customization in the customer's view and the corresponding business models in electronic markets. Main focus will be on the improvement of the communication interface between customer and seller i…
Establishing On-Line Corporate Training in Distributed, Synchronous eCollaboration: A Field Study
2010
Whereas technologies for eCollaboration are maturing, a need for learning eCollaboration in distributed organizations continues. This paper presents the experiences from establishing corporate training in distributed, synchronous eCollaboration. The training package was delivered solely on-line with synchronous interaction among the participants and the instructors. The study contributes to the scarce body of research on computer-supported collaborative learning in professional and corporate contexts. The reported experiences illustrate several challenges to establish corporate on-line training of eCollaboration: promotion of awareness of the benefits of learning eCollaboration, management …
Develop of Innovation for Overall Successful Learning
2013
Innovation has many forms and thus many ways of being acquired. Restricted by time and space, our aim here is limited to showing some of the ways to develop of innovation in learning. We suppose that certain skills are efficient in reaching this goal such as modeling, situation management, operational control, teamwork, appropriate orientation and that, in addition, certain personal or social factors like motivation also play a role. We try to provide a theoretical conceptual basis for designing guidelines for innovative learning and provide a foundation for its continued development. We believe that it is crucial to establish reference methods to strengthen the relationship between innovat…
Influence of raw data analysis for the use of neural networks for win farms productivity prediction
2011
In the last decade wind energy had a strong growth because of cost effectiveness of the technology and the high remunerative of investments.
Multipactor prediction with multi-carrier signals: Experimental results and discussions on the 20-gap-crossing rule
2014
This work analyzes the 20-gap crossing rule from a theoretical point of view. It has been found that, depending on some signal parameters, the 20-gap-crossing rule yields predictions laying between two limit cases: It may be either excessively conservative or closer to breakdown value with little (or nonexistent) margin. Such limit cases have been experimentally assessed with two test campaigns in C and Ku-bands. © 2014 European Association on Antennas and Propagation.
CAD-Based Training of an Expert System and a Hidden Markov Model for Obstacle Detection in an Industrial Robot Environment
2012
Abstract Deploying industrial robots in harsh outdoor environments require additional functionalities not currently provided. For instance, movement of standard industrial robots are pre-programmed to avoid collision. In dynamic and less structured environments, however, the need for online detection and avoidance of unmodelled objects arises. This paper focus on online obstacle detection using a laser sensor by proposing three different approaches, namely a CAD-based Expert System (ES) and two probabilistic methods based on a Hidden Markov Model (HMM) which requires observation based training. In addition, this paper contributes by providing a comparison between the CAD-based ES and the tw…
A Hybrid Machine Learning and Knowledge Based Approach to Limit Combinatorial Explosion in Biodegradation Prediction
2016
One of the main tasks in chemical industry regarding the sustainability of a product is the prediction of its environmental fate, i.e., its degradation products and pathways. Current methods for the prediction of biodegradation products and pathways of organic environmental pollutants either do not take into account domain knowledge or do not provide probability estimates. In this chapter, we propose a hybrid knowledge-based and machine learning-based approach to overcome these limitations in the context of the University of Minnesota Pathway Prediction System (UM-PPS). The proposed solution performs relative reasoning in a machine learning framework, and obtains one probability estimate fo…
SmartLeg: An intelligent active robotic prosthesis for lower-limb amputees
2011
In recent years, there has been a worldwide interest in improvement of mobility of people with lower limb amputation. In spite of significant development of new technologies during the last decade, commercial below-knee and above-knee prostheses are still energetically passive devices. However, many locomotive functions, like walking up stairs and slopes, need significant power in knee and ankle joints. The additional power for doing previously mentioned activities needs to be achieved by means of external energy sources, which should be integral prosthetic components. This paper presents preliminary investigations towards an active robotic prosthesis that could potentially enable people wi…