Artificial Intelligence and Cognitive Computing

Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that

Intelligent Sensors for Human Motion Analysis

The book, "Intelligent Sensors for Human Motion Analysis," contains 17 articles published in the Special Issue of the Sensors journal. These articles deal with many aspects related to the analysis of human movement. New techniques and methods for pose estimation, gait recognition, and fall detection have been proposed and verified. Some of them will trigger further research, and some may become the backbone of commercial systems

Advances in knowledge discovery and data mining Part II

19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II</p

Architectural judo:relational techniques for building events

Architectural Judo investigates the kinds of actions creative practices can employ when moving-with and within the spatiotemporal complexity of a forming situation, or atmosphere. It responds to the challenges for creative practices engaged with a heightened sense of interconnectedness that arises from an &amp;lsquo;atmospheric&amp;rsquo; understanding of experience as an ecology of relations. This research initially approaches atmospheres as a critical term that conflates ideas of meteorology and spatial ambience, before moving on to a turbulent ontology that lies just below the surface of everyday appearances. Creative projects are employed to reveal and work with this implicit turbulence. I develop a technique-specific approach comprised of &amp;lsquo;thresholding&amp;rsquo; and &amp;lsquo;architectural judo.&amp;rsquo; These techniques open up and propose a way of working at the edge between architecture and interior design by thinking of buildings as events always in formation. Across creative projects in galleries, workshops of bodily attunement, &amp;lsquo;studio sketches,&amp;rsquo; installations in public spaces, experimental writing, architectural design, and an audio walk, this PhD charts a movement from an individual studio/gallery practice to the undertaking of larger collaborative project-events for the public realm

Privacy-preserving social network publication based on positional indiscernibility

[[sponsorship]]資訊科學研究所[[note]]已出版;有審查制度;具代表

Uncertain Multi-Criteria Optimization Problems

Most real-world search and optimization problems naturally involve multiple criteria as objectives. Generally, symmetry, asymmetry, and anti-symmetry are basic characteristics of binary relationships used when modeling optimization problems. Moreover, the notion of symmetry has appeared in many articles about uncertainty theories that are employed in multi-criteria problems. Different solutions may produce trade-offs (conflicting scenarios) among different objectives. A better solution with respect to one objective may compromise other objectives. There are various factors that need to be considered to address the problems in multidisciplinary research, which is critical for the overall sustainability of human development and activity. In this regard, in recent decades, decision-making theory has been the subject of intense research activities due to its wide applications in different areas. The decision-making theory approach has become an important means to provide real-time solutions to uncertainty problems. Theories such as probability theory, fuzzy set theory, type-2 fuzzy set theory, rough set, and uncertainty theory, available in the existing literature, deal with such uncertainties. Nevertheless, the uncertain multi-criteria characteristics in such problems have not yet been explored in depth, and there is much left to be achieved in this direction. Hence, different mathematical models of real-life multi-criteria optimization problems can be developed in various uncertain frameworks with special emphasis on optimization problems

LIPIcs, Volume 261, ICALP 2023, Complete Volume

LIPIcs, Volume 261, ICALP 2023, Complete Volum

Transformation Paradox: A Framework for the Analysis of Politics in Enterprise Transformations

The purpose of this research is to develop a theoretical framework for the analysis of politics in enterprise transformations using a dialectical analysis approach (Hegel, 1989; Heraclitus, 1979; Pinkard, 1988; Skinner, 1978a, 1978b) and conduct an evaluation of the framework validity. The framework is constructed using a dialectical analysis of concepts stemming from the work of Alford and Friedland (1992) and considers four theoretical perspectives: autocratic, bureaucratic, pluralistic, and cognitive. The framework is then validated by means of qualitative metrics and adherence to critical ideology. This research addresses the problem that there is no holistic theoretical framework for the analysis of politics across the systemic, situational, and structural contexts found in enterprise transformations. Politics occurs at multiple levels in the enterprise making it difficult to identify the salient issues that need to be addressed in support of transformation. Transformations can be paradoxical as enterprises revert to the dominant paradigm that affirms present realities rather than developing a critical posture to break the constraining paradigm. The dialectical approach used embraces the power of multiple theoretical perspectives in the transformation process, asserting that theories have power over actions, behaviors, and language. The theoretical framework allows for the simultaneous existence of shifting states of cooperation, frustration, and paradigmatic hegemony over systemic, situational, and structural contexts that embody politics in enterprise transformations. Rough set theory is used to demonstrate the ability of the framework to be adaptive and to evolve based on the inclusion of new data. I conclude that the deployment of an evolving framework of this magnitude may have a significant impact on the management of transformation efforts and suggest new areas of research to further the work