Local and Global Feature Extraction for Invariant Object Recognition

Perceiving the world visually is a basic act for humans, but for computers it is still an unsolved problem. The variability present innatural environments is an obstacle for effective computer vision. The goal of invariant object recognition is to recognise objects in a digital image despite variations in, for example, pose, lighting or occlusion. In this study, invariant object recognition is considered from the viewpoint of feature extraction. Thedifferences between local and global features are studied with emphasis on Hough transform and Gabor filtering based feature extraction. The methods are examined with respect to four capabilities: generality, invariance, stability, and efficiency. Invariant features are presented using both Hough transform and Gabor filtering. A modified Hough transform technique is also presented where the distortion tolerance is increased by incorporating local information. In addition, methods for decreasing the computational costs of the Hough transform employing parallel processing and local information are introduced.

Optical Character Recognition for Symbian OS

This Master's thesis addresses the design and implementation of the optical character recognition (OCR) system for a mobile device working on the Symbian operating system. The developed OCR system, named OCRCapriccio, emphasizes the modularity, effective extensibility and reuse. The system consists of two parts which are the graphical user interface and the OCR engine that was implemented as a plug-in. In fact, the plug-in includes two implementations of the OCR engine for enabling two types of recognition: the bitmap comparison based recognition and statistical recognition. The implementation results have shown that the approach based on bitmap comparison is more suitable for the Symbian environment because of its nature. Although the current implementation of bitmap comparison is lacking in accuracy, further development should be done in its direction. The biggest challenges of this work were related to developing an OCR scheme that would be suitable for Symbian OS Smartphones that have limited computational power and restricted resources.

Physical Realization of an Optical Automatic Target Recognition System

In the modern warfare there is an active development of a new trend connected with a robotic warfare. One of the critical elements of robotics warfare systems is an automatic target recognition system, allowing to recognize objects, based on the data received from sensors. This work considers aspects of optical realization of such a system by means of NIR target scanning at fixed wavelengths. An algorithm was designed, an experimental setup was built and samples of various modern gear and apparel materials were tested. For pattern testing the samples of actively arm engaged armies camouflages were chosen. Tests were performed both in clear atmosphere and in the artificial extremely humid and hot atmosphere to simulate field conditions.

Nursing Ethics Education in Finland from the Perspective of Codes of Ethics

The purpose of this study was to analyze nursing ethics education from the perspective of nurses’ codes of ethics in the basic nursing education programmes in polytechnics in Finland with the following research questions: What is known about nurses’ codes in practice and education, what contents of the codes are taught, what teaching and evaluation methods are used, which demographic variables are associated with the teaching, what is nurse educators’ adequacy of knowledge to teach the codes and nursing students’ knowledge of and ability to apply the codes, and what are participants’ opinions of the need and applicability of the codes, and their importance in nursing ethics education. The aim of the study was to identify strengths and possible problem areas in teaching of the codes and nursing ethics in general. The knowledge gained from this study can be used for developing nursing ethics curricula and teaching of ethics in theory and practice. The data collection was targeted to all polytechnics in Finland providing basic nursing education (i.e. Bachelor of Health Care). The target groups were all nurse educators teaching ethics and all graduating nursing students in the academic year of 2006. A total of 183 educators and 214 students from 24 polytechnics participated. The data was collected using a structured questionnaire with four open-ended questions, designed for this study. The data was analysed by SPSS (14.0) and the open-ended questions by inductive content analysis. Descriptive statistics were used to summarize the data. Inferential statistics were used to estimate the differences between the participant groups. The reliability of the questionnaire was estimated with Cronbach’s coefficient alpha. The literature review revealed that empirical research on the codes was scarce, and minimal in the area of education. Teaching of nurses’ codes themselves and the embedded ethical concepts was extensive, teaching of the functions of the codes and related laws and agreements was moderate, but teaching of the codes of other health care professions was modest. Issues related to the nurse-patient relationship were emphasised. Wider social dimensions of the codes were less emphasized. Educators’ and students’ descriptions of teaching emphasized mainly the same teaching contents, but there were statistically significant differences between the groups in that educators assessed their teaching to be more extensive than what students had perceived it had been. T he use of teaching and evaluation methods was rather narrow and conventional. However, educators’ and students’ descriptions of the used methods differed statistically significantly. Students’ knowledge of the codes and their ability to apply them in practice was assessed as mediocre by educators and by students themselves. Most educators assessed their own knowledge of the codes as adequate to teach the codes, as did most of the students. Educators who regarded their knowledge as adequate taught the codes more extensively than those who assessed their knowledge as less adequate. Also students who assessed their educators’ knowledge as adequate perceived the teaching of the codes to be more extensive. Otherwise educators’ and students’ demographic variables had little association with their descriptions of the teaching. According to the participants, nurses need their own codes, and they are also regarded as applicable in practice. The codes are an important element in nursing ethics education, but their teaching needs development. Further research should focus on the organization of ethics teaching in the curricula, the teaching process, and on the evaluation of the effectiveness of ethics education and on educators’ competence. Also the meaning and functions of the codes at all levels of nursing deserve attention. More versatile use of research methods would be beneficial in gaining new knowledge.

Essays on Business and Leadership Ethics

As this is a dissertation, an academic thesis, it is important to define the objectives of my research, even if ex post facto, explicitly: - To define, develop and study the concept of business and leadership ethics. - To empirically study the phenomena associated with business and leadership from an ethical perspective. - To create a new framework for the development of responsible business. - To create an “acid test” for my body of works, i.e. a test and an evaluation on how well my research and ideas hold up under academic philosophical reflection. The utilitarian reasoning had the most support when the actors justified their actions regarding economic benefit. (=instrumental good). Duty and benefit were often mixed up in people’s speech. Their meaning contents were blurred and the argumentation lines created by the actors were broken. This can be interpreted in a way that supports Frankena’s mixed deontological philosophy as a frame of reference. Deontologica reasoning was used e.g. in describing the personnel management processes of a company. Virtue ethics is a favourable starting point for studying management and leadership ethics. All the actors studied could name virtues for their operations, towards which to aspire to. They also named professional practices already in use that they considered to be virtuous. Finally, I wish to state that normative ethics is an important branch of philosophical ethics, if also very important in applied ethics especially. From the normative standpoint, the results of this dissertation want to lead nations, communities and individuals towards the virtues of democratic leadership and sustainable economic development.

Evaluation of Bubble Formation and Break Up in Suppression Pools by Using Pattern Recognition Methods

During a possible loss of coolant accident in BWRs, a large amount of steam will be released from the reactor pressure vessel to the suppression pool. Steam will be condensed into the suppression pool causing dynamic and structural loads to the pool. The formation and break up of bubbles can be measured by visual observation using a suitable pattern recognition algorithm. The aim of this study was to improve the preliminary pattern recognition algorithm, developed by Vesa Tanskanen in his doctoral dissertation, by using MATLAB. Video material from the PPOOLEX test facility, recorded during thermal stratification and mixing experiments, was used as a reference in the development of the algorithm. The developed algorithm consists of two parts: the pattern recognition of the bubbles and the analysis of recognized bubble images. The bubble recognition works well, but some errors will appear due to the complex structure of the pool. The results of the image analysis were reasonable. The volume and the surface area of the bubbles were not evaluated. Chugging frequencies calculated by using FFT fitted well into the results of oscillation frequencies measured in the experiments. The pattern recognition algorithm works in the conditions it is designed for. If the measurement configuration will be changed, some modifications have to be done. Numerous improvements are proposed for the future 3D equipment.

Semantic and fuzzy modelling for human behaviour recognition in smart spaces : a case study on ambient assisted living.

Human activity recognition in everyday environments is a critical, but challenging task in Ambient Intelligence applications to achieve proper Ambient Assisted Living, and key challenges still remain to be dealt with to realize robust methods. One of the major limitations of the Ambient Intelligence systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the speci c activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. A fuzzy ontology and a semantic hybrid system are presented to allow modelling and recognition of a set of complex real-life scenarios where vagueness and uncertainty are inherent to the human nature of the users that perform it. The handling of uncertain, incomplete and vague data (i.e., missing sensor readings and activity execution variations, since human behaviour is non-deterministic) is approached for the rst time through a fuzzy ontology validated on real-time settings within a hybrid data-driven and knowledgebased architecture. The semantics of activities, sub-activities and real-time object interaction are taken into consideration. The proposed framework consists of two main modules: the low-level sub-activity recognizer and the high-level activity recognizer. The rst module detects sub-activities (i.e., actions or basic activities) that take input data directly from a depth sensor (Kinect). The main contribution of this thesis tackles the second component of the hybrid system, which lays on top of the previous one, in a superior level of abstraction, and acquires the input data from the rst module's output, and executes ontological inference to provide users, activities and their in uence in the environment, with semantics. This component is thus knowledge-based, and a fuzzy ontology was designed to model the high-level activities. Since activity recognition requires context-awareness and the ability to discriminate among activities in di erent environments, the semantic framework allows for modelling common-sense knowledge in the form of a rule-based system that supports expressions close to natural language in the form of fuzzy linguistic labels. The framework advantages have been evaluated with a challenging and new public dataset, CAD-120, achieving an accuracy of 90.1% and 91.1% respectively for low and high-level activities. This entails an improvement over both, entirely data-driven approaches, and merely ontology-based approaches. As an added value, for the system to be su ciently simple and exible to be managed by non-expert users, and thus, facilitate the transfer of research to industry, a development framework composed by a programming toolbox, a hybrid crisp and fuzzy architecture, and graphical models to represent and con gure human behaviour in Smart Spaces, were developed in order to provide the framework with more usability in the nal application. As a result, human behaviour recognition can help assisting people with special needs such as in healthcare, independent elderly living, in remote rehabilitation monitoring, industrial process guideline control, and many other cases. This thesis shows use cases in these areas.

Automatic recognition of fish from video sequences

The problem of automatic recognition of the fish from the video sequences is discussed in this Master’s Thesis. This is a very urgent issue for many organizations engaged in fish farming in Finland and Russia because the process of automation control and counting of individual species is turning point in the industry. The difficulties and the specific features of the problem have been identified in order to find a solution and propose some recommendations for the components of the automated fish recognition system. Methods such as background subtraction, Kalman filtering and Viola-Jones method were implemented during this work for detection, tracking and estimation of fish parameters. Both the results of the experiments and the choice of the appropriate methods strongly depend on the quality and the type of a video which is used as an input data. Practical experiments have demonstrated that not all methods can produce good results for real data, whereas on synthetic data they operate satisfactorily.

Climate Change and Ethics of Geoengineering -- Implications Of Climate Emergency Ethics

Global climate change and intentional climate modification, i.e. geoengineering include various ethical problems which are entangled as a complex ensemble of questions regarding the future of the biosphere. The possibilities of catastrophic effects of climate change which are also called “climate emergency” have led to the emergence of the idea of modifying the atmospheric conditions in the form of geoengineering. The novel issue of weather ethics is a subdivision of climate ethics, and it is interested in ethical and political questions surrounding weather and climate control and modification in a restricted spatio-temporal scale. The objective of geoengineering is to counterbalance the adverse effects of climate change and its diverse corollaries in various ways on a large scale. The claim of this dissertation is that there are ethical justifications to claim that currently large-scale interventions to the climate system are ethically questionable. The justification to pursue geoengineering on the basis of considering its pros and cons, is inadequate. Moral judgement can still be elaborated in cases where decisions have to be made urgently and the selection of desirable choices is severely limited. The changes needed to avoid severe negative impacts of climate change requires commitment to mitigation as well as social changes because technical solutions cannot address the issue of climate change altogether. The quantitative emphasis of consumerism should shift to qualitative focus on the aspiration for simplicity in order to a move towards the objective of the continuation of the existence of humankind and a flourishing, vital biosphere.