Road and Traffic Signs Recognition using Vector Machines

Intelligent Transportation System (ITS) is a system that builds a safe, effective and integrated transportation environment based on advanced technologies. Road signs detection and recognition is an important part of ITS, which offer ways to collect the real time traffic data for processing at a central facility.This project is to implement a road sign recognition model based on AI and image analysis technologies, which applies a machine learning method, Support Vector Machines, to recognize road signs. We focus on recognizing seven categories of road sign shapes and five categories of speed limit signs. Two kinds of features, binary image and Zernike moments, are used for representing the data to the SVM for training and test. We compared and analyzed the performances of SVM recognition model using different features and different kernels. Moreover, the performances using different recognition models, SVM and Fuzzy ARTMAP, are observed.

Color Segmentation using LVQ-Learning Vector Quantization

This thesis aims to present a color segmentation approach for traffic sign recognition based on LVQ neural networks. The RGB images were converted into HSV color space, and segmented using LVQ depending on the hue and saturation values of each pixel in the HSV color space. LVQ neural network was used to segment red, blue and yellow colors on the road and traffic signs to detect and recognize them. LVQ was effectively applied to 536 sampled images taken from different countries in different conditions with 89% accuracy and the execution time of each image among 31 images was calculated in between 0.726sec to 0.844sec. The method was tested in different environmental conditions and LVQ showed its capacity to reasonably segment color despite remarkable illumination differences. The results showed high robustness.

Testing common nonlinear features in vector nonlinear autoregressive models

This paper studies a special class of vector smooth-transition autoregressive (VSTAR) models that contains common nonlinear features (CNFs), for which we proposed a triangular representation and developed a procedure of testing CNFs in a VSTAR model. We first test a unit root against a stable STAR process for each individual time series and then examine whether CNFs exist in the system by Lagrange Multiplier (LM) test if unit root is rejected in the first step. The LM test has standard Chi-squared asymptotic distribution. The critical values of our unit root tests and small-sample properties of the F form of our LM test are studied by Monte Carlo simulations. We illustrate how to test and model CNFs using the monthly growth of consumption and income data of United States (1985:1 to 2011:11).

Forecasting with Vector Nonlinear Time Series Models

This work concerns forecasting with vector nonlinear time series models when errorsare correlated. Point forecasts are numerically obtained using bootstrap methods andillustrated by two examples. Evaluation concentrates on studying forecast equality andencompassing. Nonlinear impulse responses are further considered and graphically sum-marized by highest density region. Finally, two macroeconomic data sets are used toillustrate our work. The forecasts from linear or nonlinear model could contribute usefulinformation absent in the forecasts form the other model.

Common Features in Vector Nonlinear Time Series Models

This thesis consists of four manuscripts in the area of nonlinear time series econometrics on topics of testing, modeling and forecasting nonlinear common features. The aim of this thesis is to develop new econometric contributions for hypothesis testing and forecasting in these area. Both stationary and nonstationary time series are concerned. A definition of common features is proposed in an appropriate way to each class. Based on the definition, a vector nonlinear time series model with common features is set up for testing for common features. The proposed models are available for forecasting as well after being well specified. The first paper addresses a testing procedure on nonstationary time series. A class of nonlinear cointegration, smooth-transition (ST) cointegration, is examined. The ST cointegration nests the previously developed linear and threshold cointegration. An Ftypetest for examining the ST cointegration is derived when stationary transition variables are imposed rather than nonstationary variables. Later ones drive the test standard, while the former ones make the test nonstandard. This has important implications for empirical work. It is crucial to distinguish between the cases with stationary and nonstationary transition variables so that the correct test can be used. The second and the fourth papers develop testing approaches for stationary time series. In particular, the vector ST autoregressive (VSTAR) model is extended to allow for common nonlinear features (CNFs). These two papers propose a modeling procedure and derive tests for the presence of CNFs. Including model specification using the testing contributions above, the third paper considers forecasting with vector nonlinear time series models and extends the procedures available for univariate nonlinear models. The VSTAR model with CNFs and the ST cointegration model in the previous papers are exemplified in detail,and thereafter illustrated within two corresponding macroeconomic data sets.

Role of Culture in the Acquisition of CSL – From the Perspective of Intercultural Communication Competence

In the past few decades, the demands for coping with the rapid development of information communication technology, internationalization and globalization worldwide have shifted the focus of Chinese as a second language (CSL) towards intercultural communication competence in which the role of culture in the acquisition of CSL and in the pragmatic use of the language is emphasized and promoted. However, most of the present research in this academic area still remains only on a theoretical level.   In order to explore the possibilities and limitations of integrating Chinese culture and implementing intercultural communication theory into CSL education, an action research has been conducted since the beginning of 2013 to review an actual course for beginners. This paper will present the findings of the research: 1) By applying the theoretical framework of intercultural communicative competence, the findings indicated that the existing CSL course provided limited information explaining the cultural elements that are reflected in the Chinese language. 2) The findings also suggested that the cultural skills acquired in the students’ first language do influence their acquisition of CSL. This is demonstrated in the students’ written tasks such as introducing themselves and presenting other people, etc. The findings can be examples and resources for further research in this academic field.     

The Nurse Professional Competence (NPC) scale : self-reported competence among nursing students on the point of graduation

BACKGROUND: International organisations, e.g. WHO, stress the importance of competent registered nurses (RN) for the safety and quality of healthcare systems. Low competence among RNs has been shown to increase the morbidity and mortality of inpatients. OBJECTIVES: To investigate self-reported competence among nursing students on the point of graduation (NSPGs), using the Nurse Professional Competence (NPC) Scale, and to relate the findings to background factors. METHODS AND PARTICIPANTS: The NPC Scale consists of 88 items within eight competence areas (CAs) and two overarching themes. Questions about socio-economic background and perceived overall quality of the degree programme were added. In total, 1086 NSPGs (mean age, 28.1 [20-56]years, 87.3% women) from 11 universities/university colleges participated. RESULTS: NSPGs reported significantly higher scores for Theme I "Patient-Related Nursing" than for Theme II "Organisation and Development of Nursing Care". Younger NSPGs (20-27years) reported significantly higher scores for the CAs "Medical and Technical Care" and "Documentation and Information Technology". Female NSPGs scored significantly higher for "Value-Based Nursing". Those who had taken the nursing care programme at upper secondary school before the Bachelor of Science in Nursing (BSN) programme scored significantly higher on "Nursing Care", "Medical and Technical Care", "Teaching/Learning and Support", "Legislation in Nursing and Safety Planning" and on Theme I. Working extra paid hours in healthcare alongside the BSN programme contributed to significantly higher self-reported scores for four CAs and both themes. Clinical courses within the BSN programme contributed to perceived competence to a significantly higher degree than theoretical courses (93.2% vs 87.5% of NSPGs). SUMMARY AND CONCLUSION: Mean scores reported by NSPGs were highest for the four CAs connected with patient-related nursing and lowest for CAs relating to organisation and development of nursing care. We conclude that the NPC Scale can be used to identify and measure aspects of self-reported competence among NSPGs.

Students’ Perspectives on Extensive Literature : Using Literature to Enhance Communicative Competence and Cultural Understanding in the EFL-Classroom

The aim of this thesis is to investigate the use of literature within the Swedish Upper Secondary EFL-classroom from the students’ perspective. How do the students in the study relate to literature and its use to enhance and enable their communicative competence and cultural understanding? Also, how do their answers compare with their teacher’s and the adult perspectives and findings from previous international research? The empirical data obtained from the study has been analysed from the perspectives of sociocultural and motivational theory, and the findings show that the participating students believe literature to be a good didactic tool to apply in the EFL-classroom, both in order to enhance their communicative competence and their cultural understanding. The students prefer to have a sociocultural approach to their literature-learning, with group-discussions of various sizes. The key for the students in this respect is interesting, relevant and engaging subject-matter, as well as a positive and motivational teacher. The responses given by the students correlate with those given by their teacher as well as previous international research. The students regard literature as a way of gaining new perspectives, as well as experiencing language in use. Where they diverge somewhat from the international research is in regard to literature’s use for enhancing their competence to speak in class, and that some students seem to think that communication and cultural understanding are separable. Future studies within this field might include the conducting of a larger and more in-depth survey regarding the students’ ideas about literature, culture and communication. Why do so many of the student respondents neither agree nor disagree with the statement concerning communication and cultural understanding being inseparable? This can be an important issue to investigate in today’s global climate of cross-cultural and intercultural experiences, especially in view of the political climate of diverse attitudes towards refugees, immigrants and emigration

Self-reported conflict management competence among nursing students on the point of graduating and registered nurses with professional experience

Objective: It has been shown that specific competence is necessary for preventing and managing conflicts in healthcare settings. The aim of this descriptive and correlation study was to investigate and compare the self-reported conflict management competence (CMC) of nursing students who were on the point of graduating (NSPGs), and the CMC of registered nurses (RNs) with professional experience. Methods: The data collection, which consisted of soliciting answers to items measuring CMC in the Nurse Professional Competence (NPC) Scale, was performed as a purposive selection of 11 higher education institutions (HEIs) in Sweden. Three CMC items from the NPC Scale were answered by a total of 569 nursing students who were on the point of graduating and 227 RN registered nurses with professional experience. Results: No significant differences between NSPGs and RNs were found, and both groups showed a similar score pattern, with the lowest score for the item: “How do you perceive your ability to develop the group and strengthen competence in conflict management and problem-solving, based on knowledge of group dynamics?”. RNs with long professional experience (>24 months) rated their overall CMC as significantly better than RNs with short (<24 months) professional experience did (p = .05). NSPGs who had experience of international studies during their nursing education reported higher CMC, compared with those who did not have this experience (p = .03). RNs who reported a high degree of utilisation of CMC during the previous month scored higher regarding self-reported overall CMC (p < .0001). Conclusions: Experience of international studies during nursing education, or long professional experience, resulted in higher self-reported CMC. Hence, the CMC items in the NPC Scale can be suitable for identifying self-reported conflict management competence among NSPGs and RNs