When philosophers address personal identity, they usually explore numerical identity: what are the criteria for a person's continuing existence? When non-philosophers address personal identity, they ...often have in mind narrative identity: Which characteristics of a particular person are salient to her self-conception? This book develops accounts of both senses of identity, arguing that both are normatively important, and is unique in its exploration of a range of issues in bioethics through the lens of identity. Defending a biological view of our numerical identity and a framework for understanding narrative identity, DeGrazia investigates various issues for which considerations of identity prove critical: the definition of death; the authority of advance directives in cases of severe dementia; the use of enhancement technologies; prenatal genetic interventions; and certain types of reproductive choices. He demonstrates the power of personal identity theory to illuminate issues in bioethics as they bring philosophical theory to life.
Since the 1960s, a significant effort has been underway to program computers to see the human face to develop automated systems for identifying faces and distinguishing them from one ...another--commonly known as Facial Recognition Technology. While computer scientists are developing FRT in order to design more intelligent and interactive machines, businesses and states agencies view the technology as uniquely suited for smart surveillance - systems that automate the labor of monitoring in order to increase their efficacy and spread their reach.Tracking this technological pursuit, Our Biometric Future identifies FRT as a prime example of the failed technocratic approach to governance, where new technologies are pursued as shortsighted solutions to complex social problems. Culling news stories, press releases, policy statements, PR kits and other materials, Kelly Gates provides evidence that, instead of providing more security for more people, the pursuit of FRT is being driven by the priorities of corporations, law enforcement and state security agencies, all convinced of the technology's necessity and unhindered by its complicated and potentially destructive social consequences. By focusing on the politics of developing and deploying these technologies, Our Biometric Future argues not for the inevitability of a particular technological future, but for its profound contingency and contestability.
Deep China Kleinman, Arthur; Yan, Yunxiang; Jun, Jing ...
2011., 2011-09-26
eBook
Deep China investigates the emotional and moral lives of the Chinese people as they adjust to the challenges of modernity. Sharing a medical anthropology and cultural psychiatry perspective, Arthur ...Kleinman, Yunxiang Yan, Jing Jun, Sing Lee, Everett Zhang, Pan Tianshu, Wu Fei, and Guo Jinhua delve into intimate and sometimes hidden areas of personal life and social practice to observe and narrate the drama of Chinese individualization. The essays explore the remaking of the moral person during China's profound social and economic transformation, unraveling the shifting practices and struggles of contemporary life.
Stories of the missing offer profound insights into the tension between how political systems see us and how we see each other. The search for people who go missing as a result of war, political ...violence, genocide, or natural disaster reveals how forms of governance that objectify the person are challenged. Contemporary political systems treat persons instrumentally, as objects to be administered rather than as singular beings: the apparatus of government recognizes categories, not people. In contrast, relatives of the missing demand that authorities focus on a particular person: families and friends are looking for someone who to them is unique and irreplaceable.
InMissing, Jenny Edkins highlights stories from a range of circumstances that shed light on this critical tension: the aftermath of World War II, when millions in Europe were displaced; the period following the fall of the World Trade Center towers in Manhattan in 2001 and the bombings in London in 2005; searches for military personnel missing in action; the thousands of political "disappearances" in Latin America; and in more quotidian circumstances where people walk out on their families and disappear of their own volition. When someone goes missing we often find that we didn't know them as well as we thought: there is a sense in which we are "missing" even to our nearest and dearest and even when we are present, not absent. In this thought-provoking book, Edkins investigates what this more profound "missingness" might mean in political terms.
There are many important fields involving the multilinear system identification. A great number of parameters to be identified is an important challenge, leading to the need for tensorial ...decomposition and modeling of such systems. This article is about the parameter estimation of the higher‐order multilinear systems with non‐Gaussian noises and to explore the role of tensor algebra in the multilinear model identification. A high‐dimension system identification problem is reformulated in terms of low‐dimension problems by using the tensorial decomposition technique. Further, applying the multi‐innovation identification theory, the recursive algorithm combining with the logarithmic p‐norms is investigated for multilinear systems with non‐Gaussian noises of low computational complexity. Finally, some simulation results illustrate the effectiveness of the proposed recursive identification method.
This book includes a survey of all RFID fundamentals and practices in the first part of the book while the second part focuses on UHF passive technology. This coverage of UHF technology and its ...components including tags, readers, and antennas is essential to commercial implementation in supply chain logistics and security. Readers of this book should have an electrical engineering background, but have not yet dealt with RFID. To this end, the author is very careful to illustrate all concepts and detail his explanations meticulously. In this way, he will bring the reader along organically showing him/her what to expect, develop, and use while implementing an RFID system.
The article is devoted to the formulation of electronic remote identification of enterprises by digital technologies. The paper determines a practical aspect of using electronic remote identification ...between the bank and the organizations. The article emphasizes that BankID system has great social importance and wide practical application in Nordics and Ukraine. It is analyzed the level of Ukrainian enterprises’ computerization in various industries. The shares of some industries in the structure of the Ukrainian’s GDP with the construction of a trend line are given. Authors compare states of electronic identification in the northern countries and advantages of BankID systems. The recommendations for improvement electronic remote identification the enterprises by digital technologies are made. Keywords: digitalization of finances, finance, finance of enterprises, remote identification, digital technologies, BankID, banking.
•Five different identification methods (FDD, OKID, SSI, SRIM, ARX) are performed to extract structural modal features.•A quantitative, ranking-based collocation framework is pursued to merge ...different algorithm findings and reduce method-specific modal identification uncertainties with quantified confidence on the outranking method.•The framework is verified with a numerical example and applied on two realistic testbeds, one large-scale shaking table test of a reinforced concrete bridge and another steel pedestrian bridge.•The applications demonstrate improved identification results, including damage and no damage cases in terms of true positives and true negatives.
This paper presents multiple system identification of large-scale bridge structures proposing the combined usage of different modal parameter findings, namely from Frequency Domain Decomposition, Observer Kalman Filter Identification/Eigensystem Realization Algorithm, Combined Deterministic Stochastic Subspace Identification, System Realization Using Information Matrix, and Autoregressive Exogenous Model. A method-centric democratic ranking approach visualizes and quantifies the harmony among different system identification methods in terms of modal parameters, then ranks them based on the correlation among each other, and consequently complies with the highest rank modal parameter outputs. The synergistic scheme is applied on a numerical beam and two bridge structures including one healthy and another subjected to progressive damage. Looking at the top-rank selections, one can see that outlier identification results from a population of modal parameters can intuitively become extinct. The collaboration among methods is dependent on the chosen methods; therefore, method selection relies on care and fair representation of the identification features. Lack of agreement between methods can indicate low confidence in the outranking method and is quantified by median absolute deviation. Nevertheless, the majority of the algorithm population agrees on specific results, which are valuable to produce state knowledge despite low signal to noise ratio, especially without the presence of a reference. Thus, the collaborative usage of multiple methods in a systematic and ranking-based manner reduces significant error and outlier possibilities in modal identification due to algorithm-related issues, which is the novel contribution of this study.
•There have been very few researches on unscented Kalman filter with unknown input.•A novel UKF-UI is proposed for recursive state-input-system identification of nonlinear systems.•The proposed UKF ...is derived analogously to the procedures of the conventional UKF.•Data fusion of partially measured accelerations and displacements is used to prevent the drifts in identification.•Such a presented analytical solution of UKF-UI is not available in previous literatures.
The unscented Kalman filter (UKF) has proven to be an effective approach for the identification of nonlinear systems from limited output measurements. However, the conventional UKF requires that measurements of the input excitations are available to successfully perform nonlinear system identification, which limits its application in cases where it is difficult or impractical to measure the inputs. In this paper a novel unscented Kalman filter with unknown input (UKF-UI) is proposed for the simultaneous identification of nonlinear structural systems and external excitations. Based on the estimation-based procedures of the conventional UKF, the analytical recursive solutions of the proposed UKF-UI are derived in an analogous fashion resulting in a recursive nonlinear least-squares problem for the unknown input. Moreover, data fusion of partially measured acceleration and displacement responses is used to alleviate the drifts typically observed in the estimated inputs and displacements. Numerical and experimental validation examples are used to demonstrate the effectiveness of the proposed UKF-UI algorithm for the simultaneous identification of nonlinear parameters and unknown external excitations using data fusion of partially measured system responses.
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