1,352 research outputs found

    Sensing Collectives: Aesthetic and Political Practices Intertwined

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    Are aesthetics and politics really two different things? The book takes a new look at how they intertwine, by turning from theory to practice. Case studies trace how sensory experiences are created and how collective interests are shaped. They investigate how aesthetics and politics are entangled, both in building and disrupting collective orders, in governance and innovation. This ranges from populist rallies and artistic activism over alternative lifestyles and consumer culture to corporate PR and governmental policies. Authors are academics and artists. The result is a new mapping of the intermingling and co-constitution of aesthetics and politics in engagements with collective orders

    Tradition and Innovation in Construction Project Management

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    This book is a reprint of the Special Issue 'Tradition and Innovation in Construction Project Management' that was published in the journal Buildings

    From transactions to partnerships : Essays in honor of Jukka Vesalainen

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    This Festschrift for Professor Jukka Vesalainen is a collection of articles related to business relationships. The book focuses on different types of business relationships that constitute business networks, the development of business relationships and a practical perspective on relationship management. The book builds on the assumption that no firm is an island, and any business development takes place within ecosystems, networks, and relationships, where firms and other organizations collaborate. Firms are seen to be interdependent with other firms and actors in their business environment. Even though firms would not choose to operate in networks, they end up in networks, as perfect markets rarely exist. This emphasizes the importance of relationship management in today’s business activities. The collection contains empirical, theoretical and practical articles that all reflect the impact of the research and practical work done by Professor Vesalainen. The articles relate to important academic and practically oriented topics of Vesalainen’s research and academic career and also provide a sense of each contributor’s relationship with him.fi=vertaisarvioimaton|en=nonPeerReviewed

    2023 GREAT Day Program

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    SUNY Geneseo’s Seventeenth Annual GREAT Day. Geneseo Recognizing Excellence, Achievement & Talent Day is a college-wide symposium celebrating the creative and scholarly endeavors of our students. http://www.geneseo.edu/great_dayhttps://knightscholar.geneseo.edu/program-2007/1017/thumbnail.jp

    Learning-Based Ubiquitous Sensing For Solving Real-World Problems

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    Recently, as the Internet of Things (IoT) technology has become smaller and cheaper, ubiquitous sensing ability within these devices has become increasingly accessible. Learning methods have also become more complex in the field of computer science ac- cordingly. However, there remains a gap between these learning approaches and many problems in other disciplinary fields. In this dissertation, I investigate four different learning-based studies via ubiquitous sensing for solving real-world problems, such as in IoT security, athletics, and healthcare. First, I designed an online intrusion detection system for IoT devices via power auditing. To realize the real-time system, I created a lightweight power auditing device. With this device, I developed a distributed Convolutional Neural Network (CNN) for online inference. I demonstrated that the distributed system design is secure, lightweight, accurate, real-time, and scalable. Furthermore, I characterized potential Information-stealer attacks via power auditing. To defend against this potential exfiltration attack, a prototype system was built on top of the botnet detection system. In a testbed environment, I defined and deployed an IoT Information-stealer attack. Then, I designed a detection classifier. Altogether, the proposed system is able to identify malicious behavior on endpoint IoT devices via power auditing. Next, I enhanced athletic performance via ubiquitous sensing and machine learning techniques. I first designed a metric called LAX-Score to quantify a collegiate lacrosse team’s athletic performance. To derive this metric, I utilized feature selection and weighted regression. Then, the proposed metric was statistically validated on over 700 games from the last three seasons of NCAA Division I women’s lacrosse. I also exam- ined the biometric sensing dataset obtained from a collegiate team’s athletes over the course of a season. I then identified the practice features that are most correlated with high-performance games. Experimental results indicate that LAX-Score provides insight into athletic performance quality beyond wins and losses. Finally, I studied the data of patients with Parkinson’s Disease. I secured the Inertial Measurement Unit (IMU) sensing data of 30 patients while they conducted pre-defined activities. Using this dataset, I measured tremor events during drawing activities for more convenient tremor screening. Our preliminary analysis demonstrates that IMU sensing data can identify potential tremor events in daily drawing or writing activities. For future work, deep learning-based techniques will be used to extract features of the tremor in real-time. Overall, I designed and applied learning-based methods across different fields to solve real-world problems. The results show that combining learning methods with domain knowledge enables the formation of solutions

    2022 GREAT Day Program

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    SUNY Geneseo’s Sixteenth Annual GREAT Day.https://knightscholar.geneseo.edu/program-2007/1016/thumbnail.jp

    Book of abstracts II International Congress - CIEQV 23rd and 24th February 2023

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    The II International Congress - CIEQV is the consequence of the development of the center’s strategic plan, which aims to increase scientific production in the field of quality of life. The communication of the science carried out configures a relevant social approach for public scientific research institutions. This congress aims above all to make available the knowledge acquired on the subject of quality of life, aiming to transfer to society and citizens the information applied to their way of life. We consider the highlights of the congress to be the discussion at roundtables on two fracturing themes, inclusion and urbanism associated with the quality of life of citizens. The conferences are multidisciplinary, addressing topics such as children’s education and sports participation, sustainable agriculture and self-care, all of them related to citizens’ quality of life. The proposed papers reflect the diverse research paradigms of this multidisciplinary and thematic center: studies on the educational contexts of youth and children; on the inclusion of people with disabilities; research focused on food products and sustainable behaviors; approaches to sports training, athlete performances, physical activity practice; exploration of research on the motor behavior of children and youth; study of sustainability in organizations; research focused on quality of life in the different stages of human life; etc. This diverse approach demonstrates the complexity of the social phenomenon under study. Researchers search the connection between some variables and their interrelationship. In this way, the research produced gets closer to the ecological and social reality, transferring itself to human practices towards a better and healthy quality of life. This II International Congress - CIEQV is another initiative for the challenges of research in Quality of Life. I take this opportunity to thank the institutions that support us, the organizers of the event and the researchers who share their knowledge, from the perspective of open science and available to society.info:eu-repo/semantics/publishedVersio

    Natural stimuli for mice: environment statistics and behavioral responses

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