Integrated Data Modeling for Querying Physical Objects in RFID-Enabled Pervasive Computing

Author(s):  
Shaorong Liu ◽  
Fusheng Wang ◽  
Peiya Liu
2013 ◽  
Vol 8 (2) ◽  
pp. 175-187 ◽  
Author(s):  
Lucy Talbot

The Metropolitan Police’s Crime Museum, famously known as the Black Museum, exhibits evidence from some of the most appalling crimes committed within English society from the late-Victorian era into modernity. Public admittance to this museum is strictly prohibited, preventing all but police staff from viewing the macabre exhibitions held within. The physical objects on display may vary, but whether the viewer is confronted with household items, weaponry or human remains, the evidence before them is undeniably associated with the immorality surrounding the performance of a socially bad death, of murder. These items have an object biography, they are both contextualized and contextualize the environment in which they reside. But one must question the purpose of such a museum, does it merely act as a Chamber of Horrors evoking the anomie of English society in physical form, or do these exhibits have an educational intent, restricted to their liminal space inside New Scotland Yard, to be used as a pedagogical tool in the development of new methods of murder investigation.


2015 ◽  
Vol 10 (6) ◽  
pp. 558 ◽  
Author(s):  
Kristian Sestak ◽  
Zdenek Havlice

2017 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Chong Cheng ◽  
Johannes Hachmann

Organic materials with a high index of refraction (RI) are attracting considerable interest due to their potential application in optic and optoelectronic devices. However, most of these applications require an RI value of 1.7 or larger, while typical carbon-based polymers only exhibit values in the range of 1.3–1.5. This paper introduces an efficient computational protocol for the accurate prediction of RI values in polymers to facilitate in silico studies that an guide the discovery and design of next-generation high-RI materials. Our protocol is based on the Lorentz-Lorenz equation and is parametrized by the polarizability and number density values of a given candidate compound. In the proposed scheme, we compute the former using first-principles electronic structure theory and the latter using an approximation based on van der Waals volumes. The critical parameter in the number density approximation is the packing fraction of the bulk polymer, for which we have devised a machine learning model. We demonstrate the performance of the proposed RI protocol by testing its predictions against the experimentally known RI values of 112 optical polymers. Our approach to combine first-principles and data modeling emerges as both a successful and highly economical path to determining the RI values for a wide range of organic polymers.


Author(s):  
Nikolai Karepanov

The author argues that traces include surrounding reality objects (physical objects and fields), altered by phenomena or events that occurred as a result of movement, processes and actions. The identification and investigation of traces of the investigated events is most often carried out at the places of their occurrence, separately studied and analyzed after their seizure in specially adapted and appropriately equipped conditions. The methods of traces detection are very diverse and are being constantly improved, so it is difficult even to classify them. Still, it is possible to distinguish some methodologies proposed in theory and practice. The author considers some methods of identifying traces when searching for living persons and corpses, identifying corpses; identifying and fixing traces of human hands; identifying traces on payment cards; identifying electronic traces, identifying traces of removing embossed images; identifying traces using the latest achievements of science and technology; identifying traces and constructing sign systems in description of material objects. The necessity of introduction of a standard of detecting and investigating the traces of crimes is also discussed, and a system of actions that should be included into this standard is proposed.


Author(s):  
С.И. Рябухин

Процессные модели предметной области широко применяются при проектировании баз данных, а именно в ходе концептуального моделирования данных. Предлагается решение проблемы неоднозначности преобразования процессных доменных моделей типа SADT в концептуальные модели данных. Domain process models are widely used in database design, namely in conceptual data modeling. The solution of the problem of ambiguity of transformation of process domain models of the SADT type into conceptual data models is proposed.


2013 ◽  
Vol 15 (3) ◽  
pp. 328
Author(s):  
Hengcai ZHANG ◽  
Feng LU ◽  
Jie CHEN

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