Philipp-Coppel Family 1781-1908

Photocopy of family history (Chronik) of Philipp and Coppel family.

Ehrenberg-Rosenzweig Family Collection 1772-1930

The collection contains correspondence among members of the Ehrenberg and Rosenzweig families, including letters from Franz Rosenzweig, Adam Rosenzweig and Richard Ehrenberg, as well as with other parties, including Leopold Zunz, Adelheid Zunz, Claire von Gluemer, and Heinrich Heine (copies only). Also included are engagement contracts, marriage banns, school curricula and certificates, character references, eulogies, family histories, and other documents concerning family members. This material also reflects much of the history of the Samsonschule in Wolfenbuettel of which members of the Ehrenberg family were principals.

Cover page of a binder for maps of Crimea and Ukraine

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Solis-Cohen family papers, 1808-1990.

Correspondence, diaries, acount books, pamphlets, and other personal and professional materials pertaining to Jacob da Silva Solis and his descendents.

Seixas family papers, undated, 1746-1911, 1926, 1939.

The collection contains items relating to individual members of the family as well as the Seixas family in general. Included are papers of the following persons: Isaac Mendes Seixas (1708/9-1780/1), a copy of A voyage to Hudson's--Bay, by Henry Ellis, inscribed with his name on the title page, along with additional inscriptions on the end papers (1748); and a daily prayer book printed in Amsterdam (title page missing), with an inscription on the first page indicating that the book was owned by Seixas in 1758/9, and subsequently by his grandson, Theodore J. Seixas, in 1816/17.

Cover page of a binder for plans of tracts of land on Crimea

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1838-1839 documents relating to Jacques Judah Lyons and his service to K.K. Beth Shalome, Richmond, Virginia

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Characterization of Failure Modes in CFRP Composites - An ANN Approach

Carbon fiber reinforced polymer (CFRP) composite specimens with different thickness, geometry, and stacking sequences were subjected to fatigue spectrum loading in stages. Another set of specimens was subjected to static compression load. On-line acoustic Emission (AE) monitoring was carried out during these tests. Two artificial neural networks, Kohonen-self organizing feature map (KSOM), and multi-layer perceptron (MLP) have been developed for AE signal analysis. AE signals from specimens were clustered using the unsupervised learning KSOM. These clusters were correlated to the failure modes using available a priori information such as AE signal amplitude distributions, time of occurrence of signals, ultrasonic imaging, design of the laminates (stacking sequences, orientation of fibers), and AE parametric plots. Thereafter, AE signals generated from the rest of the specimens were classified by supervised learning MLP. The network developed is made suitable for on-line monitoring of AE signals in the presence of noise, which can be used for detection and identification of failure modes and their growth. The results indicate that the characteristics of AE signals from different failure modes in CFRP remain largely unaffected by the type of load, fiber orientation, and stacking sequences, they being representatives of the type of failure phenomena. The type of loading can have effect only on the extent of damage allowed before the specimens fail and hence on the number of AE signals during the test. The artificial neural networks (ANN) developed and the methods and procedures adopted show significant success in AE signal characterization under noisy environment (detection and identification of failure modes and their growth).

The internet of playful things

This one-day workshop brings together researchers and practitioners to share knowledge and practices on how people can connect and interact with the Internet of Things in a playful way. Open to participants with a diverse range of interests and expertise, and by exploring novel ways to playfully connect people through their everyday objects and activities, the workshop will facilitate discussion across a range of HCI discipline areas. The outcomes from the workshop will include an archive of participants' initial position papers along with the materials created during the workshop. The result will be a road map to support the development of a Model of Playful Connectedness, focusing on how best to design and make playful networks of things, identifying the challenges that need to be addressed in order to do so.

Document page layout analysis using Harris corner points

Extraction of text areas from the document images with complex content and layout is one of the challenging tasks. Few texture based techniques have already been proposed for extraction of such text blocks. Most of such techniques are greedy for computation time and hence are far from being realizable for real time implementation. In this work, we propose a modification to two of the existing texture based techniques to reduce the computation. This is accomplished with Harris corner detectors. The efficiency of these two textures based algorithms, one based on Gabor filters and other on log-polar wavelet signature, are compared. A combination of Gabor feature based texture classification performed on a smaller set of Harris corner detected points is observed to deliver the accuracy and efficiency.

Comparison of ANN models for predicting water quality in distribution systems

Deterministic models have been widely used to predict water quality in distribution systems, but their calibration requires extensive and accurate data sets for numerous parameters. In this study, alternative data-driven modeling approaches based on artificial neural networks (ANNs) were used to predict temporal variations of two important characteristics of water quality chlorine residual and biomass concentrations. The authors considered three types of ANN algorithms. Of these, the Levenberg-Marquardt algorithm provided the best results in predicting residual chlorine and biomass with error-free and ``noisy'' data. The ANN models developed here can generate water quality scenarios of piped systems in real time to help utilities determine weak points of low chlorine residual and high biomass concentration and select optimum remedial strategies.