<p>In the last three decades, complexity theory has gained a lot of importance in several scientific disciplines like astronomy, geology, chemistry etc. It has slowly extended its usage in the field of project management. While trying to understand the managerial demands of modern day projects and the different situations faced in projects, the term ‘complexity’ is progressively becoming a benchmark term. In the recent past some of the challenging projects that have been completed are the Heathrow Terminal 5 and the construction of venues for the Beijing Olympics. But can we call these projects complex?It is probably too simplistic to classify projects as complex or non-complex. What is particularly important is to identify the source of the complexity, the level and also the implications of the complexity. Several academicians have studied the different dimensions and established different classifications of complexity. These are put together into models of complexity.But is this classification well-grounded in reality? This is what we aim to explore through this research. The specific questions that we wish to explore by conducting this research are:</p><ul><li>How does the understanding of project complexity in actuality conform to the theoretical complexity models?</li></ul><p>In an effort to answer the primary question, our study will also throw some light on factors of complexity across different sectors. We hope that this distinction will pave way for further research within these sectors. This now brings us to our sub-question:- How do the factors that contribute to complexity compare across different sectors?At the outset of this research, the literature on complexity was reviewed. An attempt was made to understand what complexity means with a focus on the field of project management.It was observed that there is a new wave of thinking in this field and a camp which believes that regular project management tools and techniques cannot be used for complex projects.</p><p>This has drawn several academicians to generate models of complexity based on various factors. In this research we have focused on some important models like that of Turner and Cochrane, Ralph Stacey, Terry Williams, Kahane and Remington and Pollack. We have tried to see if any of these models fit in with how practitioners understand complexity.To find out how practitioners comprehend complexity, we followed a grounded theory approach and also used quantitative methods to supplement the results in accordance in a mixed methodology. Semi-structured interviews were carried out with nine project managers from different sectors and different  geographical locations. The interviews were analyzed and the data was broken down to different categories referred to as open coding where labelling was done. This was followed by Axial coding where we describe the properties and build relations between these categories. The final stage is selective coding where the emerged theory is integrated and refined.Quantitative data was collected through a short questionnaire which listed out some factors which could cause or lead to complexity in projects. A total of 29 responses were obtained for the questionnaires. By analyzing this data we were able to determine the factors that project managers thought caused complexity in projects. A new dimension was also added by analyzing it sector-wise. Since we collected data from two different sources, via interviews and through questionnaires, it gave us the opportunity to triangulate the findings. Wesincerely hope that this piece of work will pave way for future research on similar areas like models of complexity and perception of complexity in project management</p>

In the last three decades, complexity theory has gained a lot of importance in several scientific disciplines like astronomy, geology, chemistry etc. It has slowly extended its usage in the field of project management. While trying to understand the managerial demands of modern day projects and the different situations faced in projects, the term ‘complexity’ is progressively becoming a benchmark term. In the recent past some of the challenging projects that have been completed are the Heathrow Terminal 5 and the construction of venues for the Beijing Olympics. But can we call these projects complex?It is probably too simplistic to classify projects as complex or non-complex. What is particularly important is to identify the source of the complexity, the level and also the implications of the complexity. Several academicians have studied the different dimensions and established different classifications of complexity. These are put together into models of complexity.But is this classification well-grounded in reality? This is what we aim to explore through this research. The specific questions that we wish to explore by conducting this research are: How does the understanding of project complexity in actuality conform to the theoretical complexity models? In an effort to answer the primary question, our study will also throw some light on factors of complexity across different sectors. We hope that this distinction will pave way for further research within these sectors. This now brings us to our sub-question:- How do the factors that contribute to complexity compare across different sectors?At the outset of this research, the literature on complexity was reviewed. An attempt was made to understand what complexity means with a focus on the field of project management.It was observed that there is a new wave of thinking in this field and a camp which believes that regular project management tools and techniques cannot be used for complex projects. This has drawn several academicians to generate models of complexity based on various factors. In this research we have focused on some important models like that of Turner and Cochrane, Ralph Stacey, Terry Williams, Kahane and Remington and Pollack. We have tried to see if any of these models fit in with how practitioners understand complexity.To find out how practitioners comprehend complexity, we followed a grounded theory approach and also used quantitative methods to supplement the results in accordance in a mixed methodology. Semi-structured interviews were carried out with nine project managers from different sectors and different  geographical locations. The interviews were analyzed and the data was broken down to different categories referred to as open coding where labelling was done. This was followed by Axial coding where we describe the properties and build relations between these categories. The final stage is selective coding where the emerged theory is integrated and refined.Quantitative data was collected through a short questionnaire which listed out some factors which could cause or lead to complexity in projects. A total of 29 responses were obtained for the questionnaires. By analyzing this data we were able to determine the factors that project managers thought caused complexity in projects. A new dimension was also added by analyzing it sector-wise. Since we collected data from two different sources, via interviews and through questionnaires, it gave us the opportunity to triangulate the findings. Wesincerely hope that this piece of work will pave way for future research on similar areas like models of complexity and perception of complexity in project management

Visuospatial complexity refers to the level of detail or intricacy present within a scene, takinginto account both spatial and visual properties of the dynamic scene or the place (e.g.moving images, everyday driving, video games and other immersive media). There havebeen several studies on measuring visual complexity from various viewpoints, e.g. marketing,psychology, computer vision and cognitive science. This research project aims atanalysing and evaluating different models and tools that have been developed to measurelow-level features of visuospatial complexity such as Structural Similarity Index measurement,Feature Congestion measurement of clutter and Subband Entropy measurement ofclutter. We use two datasets, one focusing on (reflectional) symmetry in static images,and another that consists of real-world driving videos. The results of the evaluation showdifferent correlations between the implemented models such that the nature of the sceneplays a significant role.

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ITC/USA 2007 Conference Proceedings / The Forty-Third Annual International Telemetering Conference and Technical Exhibition / October 22-25, 2007 / Riviera Hotel & Convention Center, Las Vegas, Nevada / Real-time transmission of airborne images to a ground station is highly desirable in many telemetering applications. Such transmission is often through an error prone, time varying wireless channel, possibly under jamming conditions. Hence, a fast, efficient, scalable, and error resilient image compression scheme is vital to realize the full potential of airborne reconnaisance. JPEG2000, the current international standard for image compression, offers most of these features. However, the computational complexity of JPEG2000 limits its use in some applications. Thus, we present a scalable low complexity coder (SLCC) that possesses many desirable features of JPEG2000, yet having high throughput.

ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California / This paper describes how a microcontroller based system can be used to generate the signals needed in a multiple-input multiple-output (MIMO) system transmitter. The limited computational speed of the microcontroller, along with other tasks which the controller may need to handle, places limits on the throughput of the system, and the complexity of the MIMO signal design. However this can be a low cost design, and the microcontroller can be used to perform other operations in the system, which may make it attractive in some applications.

This research looks at the dynamics of identity formation in a higher education organisation during a strategic branding project, the arrival of a newcomer and my role as the dean of a school of art and design. Most branding literature focuses on the key stages of how a brand proposition is formed and assumes the straightforward roll out of the identity for the organisation. In this research I focus on what goes on around me as ideas are formed and presented back to the organisation, rather than on the idealised process of what should go on. The method takes a “withness” approach to the narrative rather than a synoptic case study approach, focusing on my experience and practice. This highlights the social context of organisational life – the context of human power relationships in which people enable and constrain each other on the basis of human attributes such as identities, anxieties, values, emotions, fear, expectations, motives and interests. The research shows that intention is only a part of the narratives about strategy and identity in organisations. I argue that notions of certainty that are inherent in intentional brand strategies are often based on arbitrary inferences and that by nature brand propositions are abstractions and therefore only representative of a partial reality. To present them in a rigid sense and develop vigilant strategies for identity preservation seems artificially limiting and devoid of context. Branding has played an important role in the world of objects and transactions. It has indicated a sense of ownership, a promise of quality and performance, and more recently an indication of self-image and identity. Yet when branding is applied to organisations it is problematic. Taking principles from a context of objects and applying them to social life has led to branding often being about the preservation of a specific concept of identity and not about the ongoing dynamic process of identity formation in organisations. It is frequently seen as manipulative and controlling, yet is also seen as an important indicator of personality, differentiation, togetherness and is linked to notions of loyalty and trust. Paralleling Mead’s notion of the “I-me” dialectic, an organization can also be seen to be emerging in the context in terms of its presentation in everyday life. The notion of certainty in this sense of organizational identity denies the dynamics of the situation and one could argue that vagueness is present in all aspects of social life and essential for creative action as it allows space for newness. Any articulation of identity is a simplification of an identity that is constantly evolving. But at what level are these simplifications and abstractions useful and not debilitating? This is not to argue that intention and strategy are not essential parts of joint action. The process of negotiating is an essential part of working together towards joint action. It is a process in which we reveal our intent and discover important aspects about each other and ourselves as we emerge in the social; it is about intention and attention. However we cannot really know how people will respond to our gestures and actions, and it is in the actions that we reveal the sincerity of our intent. Managers and strategies do not solely determine organisational identity, and neither are employees free to choose their identities, attitudes, expectations and actions. We are both enabled and constrained by our own pasts and social relationships. We inform the organisational identity as well as being informed by it in an on going process of relating. This way of thinking has implications for the way that we think about brand strategy in organisations – it is not a deterministic process of control, and neither is it a process of anarchic behavior, of open resistance to management intention. Branding is a social act and is performed by human agents who are inherently complex, individual and collective at the same time. The role of the practitioner is to make sense of what is going on between us and pay attention to what emerges – after all, it is not what a brand is but what a brand does.

International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada / In its simplest form an automaton can be considered a set of inputs, a process, and a set of outputs. Certainly telemetry can be thought of in this way as well. Automata theory is a cross between mathematics and computer science which considers how to precisely define the inputs, the outputs, and the process of translating the one into the other. The input to an automaton can be described using a formal grammar. Two standard bit stream encodings, PCM matrices and MIL-STD-1553, are described using grammars. An example of how a grammar can be used to decode a bit stream is given. Further, ambiguity and complexity of bit stream encodings are discussed in the context of grammars. It is thus illustrated how grammars can be used to cleanly define and decode telemetry bit streams.

As a critical component of the city, urban infrastructures emerge through the interactions with the socioeconomic environment. Managing the complexity behind the interactions can make the city more sustainable. By this, we mean if we provide more sustainable amenities that people desire, a greater adoption of more sustainable infrastructures will likely occur. Two categories of infrastructure have emerged in recent years as exemplars of more sustainable development: green infrastructure and transit-oriented development. At the same time, new digital tools have emerged to better predict market acceptance of these infrastructures. This dissertation employs agent-based modeling, a latent-class analysis of survey results, and an online survey to model the potential of adoption of these infrastructures and the public benefits. The principal research content of the dissertation consists of two parts. First, understanding social preference and adoption of green infrastructure (e.g., low-impact development (LID) to control storm water), and transit-oriented development (TOD) to reduce car dependence and incentivize denser land use; Second, by developing an urban model that accounts for the complexity of the urban system, the purpose is to predict the emergent property of the city (e.g., land use, water consumption, tax revenues and carbon emissions). These two aspects constitute the research content of this dissertation. The principal findings of the dissertation are: 1) the use of digital feedback tools to inform the modeling of complex urban systems; 2) the future development of the metro Atlanta area can be more compact and sustainable with implementations of LID, TOD, and the proper policy. This dissertation consists of four sections. In the first section, I have developed an agent-based model (ABM) to predict the land use pattern. The ABM is an approach suited to simulating and understanding the dynamics of the complex system. To reduce the complexity and uncertainty of the ABM, the model simulates the decisions and interaction of agents (i.e., home buyer, the developer and the local government) at the neighborhood scale. The output of the ABM serves as the baseline scenario of land use pattern for evaluating the effect of tax investment and fees on the adoption of green infrastructure designs and more compact land use patterns. Second, with the help of the ABM, I evaluated and compared the policies (i.e., impact fees, subsidy) on the adoption of green infrastructure designs and more compact land use pattern. I developed a more sustainable development (MSD) scenario that introduces an impact fee that developers must pay if they choose not to use LID (i.e., rainwater harvesting, porous pavement) to build houses or apartment homes. Model simulations show homeowners selecting apartment homes 60% of the time after 30 years of development in MSD. In contrast, only 35% homeowners selected apartment homes after 30 years of development in a business as usual (BAU) scenario where there is no impact fee for LID. The increased adoption of apartment homes results from the lower cost of using LID (i.e., rain garden, native vegetation and porous pavements) in public spaces and improved quality of life for apartment homes relative to single-family homes. The MSD scenario generates more tax revenues and water savings than does BAU. Third, as an initial effort to calibrate the home buyer’s preference for community design in the ABM, I developed an analytic model based on an existing community preference survey. The data available for this effort is from National Association of Realtors’ 2011 community preference survey. I applied a latent class choice model to this data, and discovered four classes of individuals that reveal distinctive behaviors when choosing smart growth neighborhoods, based on the interplay between aspects of community design, socioeconomic characteristics and personal attitudes. Linking the results of the latent class choice to an agent-based market diffusion model enables planners to evaluate the effectiveness of a proposed smart growth neighborhood design in inducing less sprawling development. In the fourth section, I developed a survey that focuses on preferences of metropolitan Atlanta residents for LID and TOD. With the responses collected using Mechanical Turk, I developed a latent-class residential community choice model of four distinctive classes that reveal heterogeneous preferences for community designs. Spatial distribution of the four classes was mapped out to visualize the locations of the demand for different community designs in metropolitan Atlanta. The analysis of the impact of increase in housing price on the adoption of LID and TOD shows a low risk of investing in LID and TOD in metro area. Residents are willing to adopt the community with LID and TOD as compared to the corresponding one without LID and TOD. It turns out that LID and TOD have a great potential for adoption in metro Atlanta. Further, I integrated the individual residential community choice simulation into an agent-based market diffusion model to predict the emergent land use pattern and explore polices that can drive the adoption of more compact development. Results show that the current policy requiring single-family houses to implement LID based on individual sites should be switched to one that requires community-based LID for single-family houses. Such a policy switch will lead to a higher adoption of apartment homes with LID and TOD. Lastly, I estimated a 28% carbon emission reduction from more compact development driven by LID and TOD. This thesis is the very beginning of using digital feedback tools to anticipate market responses to more sustainable development alternatives. On the basis of the progress made in this dissertation, future work is recommended in terms of the development of an integrated platform that supports the integration of individual modules (e.g., land use, traffic simulation, air quality, and water resource management) for modeling the complexity, big data analytic techniques (e.g., Twitter, GPS data, sensors) for uncovering the interdependencies between infrastructures and socioeconomic development, and the exploration of sustainability metrics for public communication to build citizen capacity for sustainable cities.

Thesis (PhD)--Stellenbosch University, 2012. / Prof. F P Cilliers acted, until his death on 31 July 2011, as the original promotor of this dissertation / ENGLISH ABSTRACT: This dissertation departs from the argument that an encounter with complexity exposes the breakdown of traditional doctrines that have been taken for granted for too long (markedly modernist reductionism). Contrary to reductionist strategies that rely on the methods of analysis and isolation, the study of complex phenomena focuses on the dynamic relations and organisation of systems and their environments. Although the proliferation of ideas concerning the notion of complexity is abundant, there is no agreed upon definition that informs an overarching ‘Theory of Complexity.’ This problem is addressed by following the historical development in the field of systyms thinking. A distinction is made between ‘restricted’ and ‘general’ theories of complexity. The study problematises the conceptual and empirical difficulties of studying complex phenomena. The impossibility of being able to have complete knowledge of complex systems is discussed in detail. It is argued that although the study of complexity serves as an alternative approach to reductionist approaches, our knowledge of complexity in principle remains a reduction thereof. This insight leads to the claim that the study of complex phenomena is at best a post-reductionist effort, which is necessarily a critical position. It is argued that the ‘complexity approach’ coincides with other poststructural approaches in the field of philosophy in general and with deconstruction in particular. However, situating the complexity approach within poststructuralism is not unproblematic, seeing that poststructural forms of critique are marred by problems of legitimation. Allegiance to postmetaphysical ideals implies that objective grounds for justifying or warranting the choice of norms from where to launch critical inquiry are sacrificed. A deconstructive reading of the Kantian concept of ‘critique’ reveals a double movement that is at work in the concept. This double bind displaces the definition of critique to change to mean ‘critique as stricture.’ From this perspective the logic of différance is at work in critical analysis and the limitations of our meaning making strategies are exposed. It is suggested that ‘critique as stricture’ is a poststructural form of critical inquiry that regains legitimacy by operating in the tension of the force field created by antagonistic positions. A provisional grounding in the name of the limit emerges. The kind of thinking that can be cognisant of this general movement of ‘critique as stricture’ is found in the notion of ‘complex thinking.’ By drawing on Derrida’ and Morin’s reappropriation of Bataille’s distinction between the restricted and general economy, it is demonstrated how complex thinking is operating within the movement of the general economy. The study concludes with the argument that informed by ‘critique as stricture,’ the complexity approach progresses to what Cilliers calls ‘critical complexity.’ This brand of complexity distinguishes itself by a normative turn, which is distinguished by three imperatives: 1) the Provisional Imperative, 2) the Critical Reflexive Imperative and 3) the World-disclosing Imperative. All of these operate under the influence of the general economy, which allows critical inquiry to be grounded and legitimised in the tension of thinking antagonistic positions together without reducing them to one another. / AFRIKAANSE OPSOMMING: In hierdie proefskrif word aangevoer dat die verskynsel van kompleksiteit die disintegrasie van tradisionele leerstellings se aansprake, wat te lank as vanselfsprekend aanvaar was, ontbloot (merkbaar reduksionistiese modernisme). In teenstelling met reduksionistiese strategieë wat staat maak op metodes van analise en isolasie, fokus die studie van komplekse verskynsels op die dinamiese verhoudings en organisasie van sisteme en hul omgewings. Alhoewel die studie van kompleksiteit ’n byna alledaagse verskynsel geword het, bestaan daar geen bindende definisie wat ’n enkele ‘Teorie van Kompleksiteit’ daarstel nie. Daar word spesifiek op hierdie probleem gefokus in terme van hoe die wetenskaplike studie van kompleksiteit histories ontwikkel het. Dit word aangevoer dat dit sinvoller is om eerder tussen ‘beperkte’ en ‘algemene’ teorieë van kompleksiteit te onderskei as om ’n oorkoepelende teorie te ontwikkel. Heelwat probleme duik op in die poging om komplekse verskynsels konseptueel en empiries te bestudeer. Alhoewel die studie van komplekse verskynsels ’n alternatiewe posisie tot reduksionistiese benaderings daarstel, kan kennis van kompleksiteit in beginsel slegs ’n reduksie daarvan wees. As gevolg hiervan word die studie van komplekse verskynsels ten beste as ’n post-reduksionistiese poging beskryf wat noodwendig ’n kritiese posisie impliseer. Die kompleksiteitsbenadering stem in die algemeen met post-strukturele filosofiese benaderings, en spesifiek met dekonstruksie ooreen. Hierdie ooreenstemming is egter nie onproblematies nie, aangesien post-strukutrele kritiese posisies deur probleme van legitimasie gekenmerk word. Lojaliteit aan post-metafisiese ideale het tot gevolg dat daar geen objektiewe, grondige vertrekpunt bestaan vanwaar normatiewe begrondings geregverdig kan word nie. ’n Dekonstruktiewe lees van Kant se idee van die begrip ‘kritiek’ openbaar dat daar ’n ‘double movement’ aan die werk is wat die konsep ‘kritiek’ kan verruim ten einde dit te verander om ‘critique as stricture’ te beteken. Die werking van différance is altyd betrokke tydens kritiese analise waardeur die beperkinge van ons singewende strategieë blootgestel word. Hierdie her-definiëring van kritiek as ‘critique as stricture’ stel ons in staat om nuwe lewe in die kritiese projek te blaas deurdat legitimiteit gevind word in die spanning van die kragveld wat geskep word tussen antagonistiese posisies. ’n Voorlopige grondslag word in die naam van die beperkings van ons denkstrategië gevestig. ‘Kompleksiteitsdenke’ (‘complex thinking’) stel ’n denkstrategie daar wat tred hou met die dinamiese beweging wat in ‘critique as stricture’ teenwoordig is. ‘Kompleksiteitsdenke’ word aan die hand van Derrida en Morin se interpretasie van Bataille se onderskeid tussen die beperkte en algemene ekonomie gedoen ten einde te demonstreer dat ‘kompleksiteitsdenke’ binne die beweging van die algemene ekonomie val. Die studie word afgesluit met die argument dat, ingelig deur ‘critique as stricture’, die kompleksiteitsbenadering tot die begrip ‘kritiese kompleksiteit’ ontwikkel soos voorgestel deur Cilliers. Kritiese kompleksiteit word deur ’n normatiewe impuls gekenmerk wat in sigself weer deur drie noodsaaklike eienskappe uitgeken kan word: 1) die Voorlopige Imperatief, 2) die Kritiese Refleksiewe Imperatief en 3) die Wêreld-ontsluitende Imperatief. Al drie hierdie imperatiewe staan onder die invloed van die algemene ekonomie wat ons toelaat om kritiese analise te begrond in die spanning wat onstaan wanneer antagonistiese konsepte saam gedink word sonder dat hulle tot mekaar gereduseer word.