Soft computing applied to optimization, computer vision and medicine

Artificial intelligence has permeated almost every area of life in modern society, and its significance continues to grow. As a result, in recent years, Soft Computing has emerged as a powerful set of methodologies that propose innovative and robust solutions to a variety of complex problems. Soft Computing methods, because of their broad range of application, have the potential to significantly improve human living conditions. The motivation for the present research emerged from this background and possibility. This research aims to accomplish two main objectives: On the one hand, it endeavors to bridge the gap between Soft Computing techniques and their application to intricate problems. On the other hand, it explores the hypothetical benefits of Soft Computing methodologies as novel effective tools for such problems. This thesis synthesizes the results of extensive research on Soft Computing methods and their applications to optimization, Computer Vision, and medicine. This work is composed of several individual projects, which employ classical and new optimization algorithms. The manuscript presented here intends to provide an overview of the different aspects of Soft Computing methods in order to enable the reader to reach a global understanding of the field. Therefore, this document is assembled as a monograph that summarizes the outcomes of these projects across 12 chapters. The chapters are structured so that they can be read independently. The key focus of this work is the application and design of Soft Computing approaches for solving problems in the following: Block Matching, Pattern Detection, Thresholding, Corner Detection, Template Matching, Circle Detection, Color Segmentation, Leukocyte Detection, and Breast Thermogram Analysis. One of the outcomes presented in this thesis involves the development of two evolutionary approaches for global optimization. These were tested over complex benchmark datasets and showed promising results, thus opening the debate for future applications. Moreover, the applications for Computer Vision and medicine presented in this work have highlighted the utility of different Soft Computing methodologies in the solution of problems in such subjects. A milestone in this area is the translation of the Computer Vision and medical issues into optimization problems. Additionally, this work also strives to provide tools for combating public health issues by expanding the concepts to automated detection and diagnosis aid for pathologies such as Leukemia and breast cancer. The application of Soft Computing techniques in this field has attracted great interest worldwide due to the exponential growth of these diseases. Lastly, the use of Fuzzy Logic, Artificial Neural Networks, and Expert Systems in many everyday domestic appliances, such as washing machines, cookers, and refrigerators is now a reality. Many other industrial and commercial applications of Soft Computing have also been integrated into everyday use, and this is expected to increase within the next decade. Therefore, the research conducted here contributes an important piece for expanding these developments. The applications presented in this work are intended to serve as technological tools that can then be used in the development of new devices

Supply Chain

Traditionally supply chain management has meant factories, assembly lines, warehouses, transportation vehicles, and time sheets. Modern supply chain management is a highly complex, multidimensional problem set with virtually endless number of variables for optimization. An Internet enabled supply chain may have just-in-time delivery, precise inventory visibility, and up-to-the-minute distribution-tracking capabilities. Technology advances have enabled supply chains to become strategic weapons that can help avoid disasters, lower costs, and make money. From internal enterprise processes to external business transactions with suppliers, transporters, channels and end-users marks the wide range of challenges researchers have to handle. The aim of this book is at revealing and illustrating this diversity in terms of scientific and theoretical fundamentals, prevailing concepts as well as current practical applications

Knowledge Capturing in Design Briefing Process for Requirement Elicitation and Validation

Knowledge capturing and reusing are major processes of knowledge management that deal with the elicitation of valuable knowledge via some techniques and methods for use in actual and further studies, projects, services, or products. The construction industry, as well, adopts and uses some of these concepts to improve various construction processes and stages. From pre-design to building delivery knowledge management principles and briefing frameworks have been implemented across project stakeholders: client, design teams, construction teams, consultants, and facility management teams. At pre-design and design stages, understanding the client’s needs and users’ knowledge are crucial for identifying and articulating the expected requirements and objectives. Due to underperforming results and missed goals and objectives, many projects finish with highly dissatisfied clients and loss of contracts for some organizations. Knowledge capturing has beneficial effects via its principles and methods on requirement elicitation and validation at the briefing stage between user, client and designer. This paper presents the importance and usage of knowledge capturing and reusing in briefing process at pre-design and design stages especially the involvement of client and user, and explores the techniques and technologies that are usable in briefing process for requirement elicitation

An Investigation on Benefit-Cost Analysis of Greenhouse Structures in Antalya

Significant population increase across the world, loss of cultivable land and increasing demand for food put pressure on agriculture. To meet the demand, greenhouses are built, which are, light structures with transparent cladding material in order to provide controlled microclimatic environment proper for plant production. Conceptually, greenhouses are similar with manufacturing buildings where a controlled environment for manufacturing and production have been provided and proper spaces for standardized production processes have been enabled. Parallel with the trends in the world, particularly in southern regions, greenhouse structures have been increasingly constructed and operated in Turkey. A significant number of greenhouses are located at Antalya. The satellite images demonstrated that for over last three decades, there has been a continuous invasion of greenhouses on all cultivable land. There are various researches and attempts for the improvement of greenhouse design and for increasing food production by decreasing required energy consumption. However, the majority of greenhouses in Turkey are very rudimentary structures where capital required for investment is low, but maintenance requirements are high when compared with new generation greenhouse structures. In this research paper, life-long capital requirements for construction and operation of greenhouse buildings in Antalya has been investigated by using benefit-cost analysis study

Parents’ perspectives and practices around the schooling of children in rural Northern Nigeria

Parental involvement – parents' commitment of resources to children's schooling – has received significant scholarly attention in highly industrialized contexts. However, less evidence exists from sub-Saharan Africa about rural parents’ involvement in and perceptions of schooling. The little that exists frequently positions parents as uninterested and uninvolved, often from the perspectives of teachers, students and government officials. This study explores rural African parents' own perspectives on, and involvement in, schooling in two rural Yorùbá primary school-communities in North central Nigeria and whether, like the extant literature, teachers hold deficit perspectives of parents. To generate data, it uses an ethnographic approach, embedded within a situated Ọmọlúàbí moral ethical ethics framework, employing observation and interview techniques with 22 parents and grandparents, 15 children and 23 teachers. To analyze data, it applies thematic analysis to help capture the essence of the data. Deeper insight is facilitated by the study’s conceptual framework, a combination of capabilitarian concepts – functionings (valued beings and doings) and agency (to achieve functionings) – and Bourdieuian tools – social field, habitus (disposition) and capital (resources) – alongside an existing typology of parental involvement. The findings demonstrate that teachers hold deficit, but simultaneously empathetic, views of rural parents, influenced by their in depth knowledge of school-communities and shared personal experiences, particularly between female teachers and mothers. Parents articulate complex ethnotheories, or cultural beliefs about children’s lives, which transcend schooling and integrate other valued forms of learning: learning at home, Islamic schooling, and informal apprenticeships. Though parents value schooling, they are discouraged by their perceptions of its injustice, particularly the differential outcomes for poor and rich children. Parental involvement in schooling also goes beyond existing categories to reveal other basic, communal, disciplinary, socio-cultural and spiritual schooling practices. The study ultimately demonstrates that research on learning in rural sub-Saharan Africa which narrowly conceives learning as schooling and, therefore, excludes analysis of values and agency outside school learning, underrepresents and underrecognizes parental and other agency around learning

Privacy-preserving framework for context-aware mobile applications

In recent years, the pervasiveness of mobile devices, especially mobile phones and personal digital assistants (PDAs), has increased rapidly. At the same time, wireless communication networks have improved considerably and the usage of mobile devices to access the internet is, with decreasing costs, possible almost everywhere and at any time in industrialized countries. However, the usage of mobile technology and mobile applications to support business processes, trans- actions, and personal tasks is still low compared to their potential. The improved capabilities resulted in the introduction of many applications for mobile devices by network operators and software vendors. These services were meant to increase the average revenue per user (ARPU) on top of the voice call income. But many of these services have failed and none of them has led to an improved usage of mobile services today, besides e-mail. A new kind of application, the context-aware application, exploits the ubiquity of the mobile devices in order to fit the personal need or task the user is about to execute satisfactorily. Context-aware systems try to improve the communication with the user by adding information about the current context to the explicit user input and by adapting the output to the current setting of the user. While those applications are seen as important steps to a widespread usage, there are strong factors inhibiting their development and adoption. First of all, the lack of common frameworks handling context data and improv- ing software development increases the cost to build context-aware applications. Each application currently implements its own sensors and logic to handle its data. Furthermore, service providers need to offer tailored services for every con- text of the user. Since no single provider is able to be an expert for all kinds of applications and will not have the necessary number of developers, a common service which finds services of multiple providers for the current situation of the user is needed. All services need to utilize the context attributes which are locally determined by the user’s situation. Development costs are further boosted by the difficulty of developing applications for multiple devices with varying input/output (IO) capabilities like speech output, small and big screens, full qwerty-keyboards, touchscreens, or numeric keypads. From the user’s perspective, privacy also endangers the adoption of mobile services. Context information may include very private data and expose the user’s preferences and habits. While the user may trust a single, well-known, provider to secure the private data and to respect the user’s privacy concerns, the problem increases with more and more smaller service providers

A case for institutional investigations in economic research methods with reference to South Africa's agricultural sector

Economic development remains elusive for many world economies, but especially those of African countries. The current global inequalities in terms of GNP per capita and human living standards between developed and developing nations have ensured that the challenges of food insecurities are only some of the many negative experiences of underdevelopment in the African continent. Hence, delivery pressures are increasing on policy makers and researchers to provide tangible and timely economic solutions to the resilient state of underdevelopment. In the policy fights against the challenges posed by a lack of development in South Africa, the agricultural sector has in the past and continues in the present to play a central role. Such is the case because the majority of citizens rely on agricultural production activities for their livelihoods. For instance, even though the sector only contributed four percent towards the national Gross Domestic Product in 2006, in the Eastern Cape Province, more than seventy percent of the total population resided in rural areas. Moreover, in 2004 more than sixty percent of the national formal and informal employment levels were found in the sector. These economic indicators do not only reinforce the assertions that high levels of geographical and sectoral inequalities exist in the country’s economy, but they also illustrate the importance of the agricultural sector in public policy attempts, which are aimed at achieving food security alongside long-term developmental objectives. Some economists, especially the proponents of institutionalism, have argued that most of the recommendations to public policy interventions from mainstream economic research endeavours are not adequately helpful. The recommendations generally lack well considered and socially effective ideas, mainly because there remains some level of ignorance about the impacts that institutions have on economic and social systems. Some argue that this ignorance is reflected in (flawed) hedonistic and rationalist assumptions made about economic actors and in the methodological thinking of many research designs and economic analyses. The misuse of formal tools and statistical methods, for example, are some of the important factors, which have led to failures of the discipline of economics to provide effective policy solutions to problems of underdevelopment and poverty, especially in poor country environments. The thesis, having taken account of the majority of criticisms levelled against the classical and new-classical economic schools of thought, argues that the discipline as a whole lacks a paradigmatic integration of institutional and new-classical economic perspectives to offer appropriate guidelines for a methodology aimed at achieving socially responsive research outputs. The lack of this integration has resulted in a skewed selection of methods by economists, which are employed in research without a supportive and in-depth understanding of institutional and social factors. To support the thesis, a more effective and integrated framework for economic research is developed and presented with case study illustrations in a cumulative manner. The 20th century history of agricultural policies in South Africa, the agricultural and institutional case studies from the Eastern Cape Province alongside reviews of other agricultural studies are all used in presenting a case for rigorous institutional investigations in general economic research. These are also used in developing the proposed integrated framework, which aims to give guidance in developing research methods, which are more socially responsive. Having shown the usefulness of the proposed research framework, the thesis recommends that public policy interventions (at national and local levels) should aim to eliminate all types of institutions which have high associated transactional costs. The interventions should also encourage the emergence and growth of the types of institutions, which present the lowest costs to initiatives of economic development. In the primary case studies from the Eastern Cape Province, the insecurity of land tenure and the various local initiatives of business ventures are highlighted as two examples of the types of institutions, which respectively present high and low transactional costs to local initiatives of agricultural and economic development