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This paper presents the current state of a study that appealed to digital technologies as a privileged means of training, in the language of schooling of African students' parents. The main objective of this study was to involve these parents in the school life of the students. The research methodology was an action-research model, using a variety of qualitative data collection and analysis techniques:...
Every year football clubs trade players in order to build competitive rosters able to compete for success, increase the number of their supporters and amplify sponsors and media attention. In the complex system described by the football transfer market can we identify the strategies pursued by successful teams? Where do they search for new talents? Does it pay to constantly change the club roster?...
The integration of neural networks into agent based models can provide a better understanding of dynamic agent responses when modelling complex systems. Additionally, due to the nature of agent based models and the networks that exist in them, individual neural networks can be trained in a supervised learning environment and assigned to individual agents. The advantage of using this approach is that...
Physical rehabilitation training using an intelligent control system is important for the people with lower limb dysfunction. In this paper, the sit-to-stand (STS) trajectory of health persons is researched based on STS biomechanics model. Several novel mechanical structures for intelligent lower limb STS rehabilitation training system are presented. According to the mechanical analysis of its finite...
The paper presents selected results of research on modeling and modeling identification nerone's development of the electricity market. For example on the electricity market shows the results of neural and identification modeling. As a result of comparative studies showing that yields better results neural modelling than identification modelling for this type of systems containing a large number of...
Discrete-event simulation (DES) has been used since the late 1950s. In contrast, agent-based simulation (ABS) is much newer but has been the “hottest” topic in simulation since 2005, despite a lack of agreement on what is an agent or ABS. We carefully define DES and ABS, and discuss their similarities and differences. We argue that emergence is not a fundamental tenet of ABS, as is often suggested...
We have designed a Turkish dictation system for Broadcast news applications. Turkish is an agglutinative language with free word order. These characteristics of the language result in the vocabulary explosion, large number of out-of-vocabulary (OOV) words and the complexity of the N-gram language models in speech recognition when words are used as recognition units. Therefore, we proposed new recognition...
The Enterprise Resource Planning (ERP) system is an integrated software package applied by many enterprises as an operations platform over the past years. However, according to an industrial survey, the failure rate of ERP system implementation is relatively high because of high implementation costs and long implementation time, incapable implementation teams, process misfits, resistance to change...
Modern technologies such as DNA microarray have been developed to study the transcriptome of cancer cells. It has been used in many studies for tumor classification and of identification of marker genes associated with cancer. However, this technique often suffers the ‘curse of dimensionality’. A general approach to overcome this setback is to perform feature selection technique prior to classification...
Effective monitoring the growth state of seawater phytoplankton plays an important role for the early warning of marine disasters, such as coastal red tides. Grey correlation analysis method was used to select the secondary variables of the soft sensing model. It can effectively reduce the dimension of the system. Extreme learning machine regression (ELMR) method was used to build the soft sensing...
Demand forecasting plays a very important role in retail business. Retail information systems commonly store large amounts of data which are subsequently used by sophisticated data mining tools for building forecasting models. Quality of these models is usually measured through their predictive accuracy as their most important property, followed by other measures which consider average underestimate...
The purpose of this study was to determine whether biofeedback could promote the efficiency of springboard diving training. Eight athletes took part in this subject, which were divided into two groups - experimental group and contrast group. The experimental group used biofeedback techniques while the contrast group did not use, at the same time other related arrangements keep same. After three months...
A new BP neural network is introduced and at the same time, its' structure, feature and principium are also expatiated. In order to approach compensate the effects of improves non-linearity, a BP neural network model is set up and trained in this paper. The test result indicates that: this method is practical and dependable in the field of salinity modeling, has a good applied foreground.
Described the problem of modeling the behavior of a typical user of an electronic information system to detect the fact of use of his account by another person. Investigated method that allows presenting the typical behavior of a user in the form of Markov model and further assessing the target user's behavior compared with the pattern presented in the corresponding model. In the process of research...
To provide a broader education for Operational Research PhD students in the UK, the Engineering and Physical Sciences Research Council funds the National Taught Course Centre for Operational Research (NATCOR). This is an initiative led by six UK universities and includes a one-week, residential simulation module taught for the first time in July 2009. We describe the background to NATCOR, summarize...
In recent years several simulation-based serious games have been developed for mastering new business concepts in operations management. This indicates the high potential of simulation use for pedagogical purposes. Unfortunately, this potential is hardly reflected in simulation methodology. We consider this issue by identifying alternative demands game use of simulation sets for model building and...
Starting from the CDIO engineering education model philosophy, on the basis of the analyzing of the problems of the traditional teaching of satellite communications course, the teaching reform research and practice of satellite communications course on CDIO Model was discussed. Practice shows that the pattern helps the students arouse the enthusiasm to study and train students in engineering practice...
With the rapid development of computer technology, Virtual Reality (VR) technology becomes more and more widely used in fields related to maintenance work. In this article, the composition and technical characteristics of VR technology is introduced, the development history and research background of VR technology is reviewed, and application status of VR system is analyzed. The application of using...
The paper combines theory with practice and applies neural network technology to establish a credit risk assessment model based on BP neural network technology. The assessment model, to some extent, improves the traditional credit risk analytical approaches in our country, overcoming the defects that subjectivity exists in credit risk measurement, expanding developing route for credit risk measurement...
The Topic Models are a class of hierarchical statistical models for analyzing document collections and it has become one of the most used techniques in Natural Language Processing in the recent years. It assumes that each document could be expressed as a mixture of topics and each topic could be characterized by a distribution over words. In previous research, like in English language, Topic Models...
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