Intelligent Computing: The Latest Advances, Challenges and Future

Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications. Intelligent computing has greatly broadened the scope of computing, extending it from traditional computing on data to increasingly diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human-computer fusion intelligence. Intelligence and computing have undergone paths of different evolution and development for a long time but have become increasingly intertwined in recent years: intelligent computing is not only intelligence-oriented but also intelligence-driven. Such cross-fertilization has prompted the emergence and rapid advancement of intelligent computing. Intelligent computing is still in its infancy and an abundance of innovations in the theories, systems, and applications of intelligent computing are expected to occur soon. We present the first comprehensive survey of literature on intelligent computing, covering its theory fundamentals, the technological fusion of intelligence and computing, important applications, challenges, and future perspectives. We believe that this survey is highly timely and will provide a comprehensive reference and cast valuable insights into intelligent computing for academic and industrial researchers and practitioners

2020 - The Twenty-fourth Annual Symposium of Student Scholars

The full program book from the Twenty-fourth Annual Symposium of Student Scholars, held on April 16, 2020. Includes abstracts from the presentations and posters.https://digitalcommons.kennesaw.edu/sssprograms/1021/thumbnail.jp

False Profits: An Analysis of Planning's Cult of Growth and the Demands of Justice

Degrowth planning and radical approaches have been minimally investigated within the planning department and teeter on the fringes of planning pedagogy. Planning methods have essentialized growth-approaches that yield opportunity and economic vitality. Planners have the power to spatially transform development and should have a role in the downscaling of society at all levels. Public planning is a major governmental institution that organizes and manages spatial development and prioritizes market needs and the facilitation of capital accumulation. The growth model is not sustainable model because of the planetary boundaries we exist under. The growth model functions under the assumption that all growth is beneficial and that there are unlimited reserves of resources for people to extract from. Unregulated free-market Capitalism and city/urban planning are at odds because planning should be used as a tool to mitigate uncertainty. Unregulation begets uncertainty and crisis. Degrowth is a model that subverts the market-fetishistic/Capitalistic nature of planning and the functioning of society. It can be used as a preemptive measure to reduce the effects of the current global economic, environmental, and social crises of extraction and exploitation. Degrowth’s aim is to retract the bounds economic systems at all levels.Master of City and Regional Plannin

Performance based compensation in Chinese public hospitals

This study was determined by innovatively integrating the equilibrium structure of "principal-agent- and beneficiary" in the principal-agent theory and Donabedian's "goal-process-result" theory. The "Operational Manual for Performance Appraisal of National Tertiary Public Hospitals" (2019 Ed.) was used as the source of indicators, complemented by two questionnaire surveys. Frequency analysis and ANOVA enabled the performance management index system of public hospitals. Furthermore, the index system was verified by key information interviews (KIS) to form a three-dimensional (3D) equilibrium performance incentive system for public hospitals. Selected professionals from First People's Hospital of R City participated in the survey, enabling the weight assignment of indicators in the 3D equilibrium performance incentive system of public hospitals by Analytic Hierarchy Process. In addition, the possible problems in the application of the system in public hospitals are discussed. This study has found that the 3D equilibrium performance incentive system of public hospitals can contribute to modernize the hospital administration system, improving the quality management and performance. At the same time, it was verified that in the design process of performance management, not all factors could be regarded as performance indicators, including some invisible but vital factors such as values and humanistic spirit that could not be included in the evaluation indicators. In addition to the quality of objective data and the accuracy of subjective data, cognitive biases in different ages, job types and position levels in hospitals will bring greater challenges to performance management.Este estudo faz uma integração inovadora da estrutura de equilíbrio da relação entre o "principal-agente-e beneficiário" e a teoria de Donabed da "meta-processo-resultado". O Manual Operacional para a Avaliação do Desempenho dos Hospitais Públicos Nacionais (Ed. de 2019)foi a fonte de indicadores, complementados por dois questionários. A análise de frequências e ANOVA permitiram construir um índice do desempenho dos hospitais públicos. Este índice foi validado com entrevistas chave para informação a partir das quais foi construído um modelo tridimensional (3D) de incentivos ao desempenho dos hospitais públicos. Foram selecionados profissionais do Primeiro Hospital do Povo da Cidade R que participaram no questionário, permitindo testar o peso dos indicadores no modelo tridimensional (3D) de incentivos ao desempenho dos hospitais públicos através do Processo de Hierarquia Analítica. Adicionalmente, são discutidos os possíveis problemas da aplicação deste modelo nos hospitais públicos. Este estudo permitiu concluir que o modelo tridimensional (3D) de incentivos ao desempenho dos hospitais públicos pode contribuir para a modernização do sistema de administração dos hospitais públicos, melhorando a qualidade da gestão e o desempenho. Foi também verificado que no processo de desenho da gestão do desempenho nem todos os fatores podem ser encarados como indicadores de desempenho. Fatores invisíveis mas vitais como valores e espírito humanístico não puderam ser incluídos nos indicadores de desempenho. Para além da qualidade de dados objetivos, e da adequação de dados subjetivos, as diferenças cognitivas em função da idade, tipo de função e e nível hierárquico nos hospitais trazem maiores desafios à gestão do desempenho

1978 Calendar - Volume 3 - Annual report

176 pp.This volume contains the Annual Report for 1977 which includes Financial Statements and a Bibliograph

Lessons Learned: Solutions for Workplace Safety and Health

Provides case studies of workplace health hazards, regulatory actions taken, and solutions, including product and design alternatives; a synthesis of findings and lessons learned; and federal- and state-level recommendations

Latecomers’ science-based catch-up in transition: the case of the Korean pharmaceutical industry

This thesis investigates the 25-year transitional process of the Korean pharmaceutical industry from its initial focus on the imitative production of generic drugs to the development of new drugs. The catch-up dynamics of latecomer countries in science-intensive industries, such as the pharmaceutical industry, is an overlooked research topic in existing literature on innovation studies. This thesis provides an in-depth analysis of Korea’s science-intensive catch-up and applies an ‘exploration and exploitation’ framework to a latecomer setting and in a novel institutional and market context of the transitional phase. This thesis argues that the rate of change in the transition from imitating drugs to developing new drugs depends on the institutional and organisational mechanisms that enable a new form of technological learning, termed ‘exploratory learning’. This form of learning is often unfamiliar to firms in latecomer countries, whereas it is necessary for producing innovative drugs. That is, latecomers’ institutional and organisational promotion of exploratory learning is related to a ‘pattern change’ in the previously established institutional and organisational routines associated with imitative learning. The findings show that the rate of industrial transition in this sector was constrained by the problematic operation of S&T policies promoting key characteristics of exploratory learning, such as high-risk long-term learning as well as dense interactions between a diverse number of innovation actors. The findings also illuminate some latecomer firms’ initial difficulties in managing the new mode of technological learning, and in strategically applying that mode of learning to overcome the barriers to moving through the transitional phase towards producing competitive innovation. The thesis also suggests that the nature of drugs as integral products, deeply grounded in science, makes it difficult to effectively promote institutional and organisational transformations in favour of exploratory learning

Intelligent computing : the latest advances, challenges and future

Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications. Intelligent computing has greatly broadened the scope of computing, extending it from traditional computing on data to increasingly diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human computer fusion intelligence. Intelligence and computing have undergone paths of different evolution and development for a long time but have become increasingly intertwined in recent years: intelligent computing is not only intelligence-oriented but also intelligence-driven. Such cross-fertilization has prompted the emergence and rapid advancement of intelligent computing